--- _id: '2140' abstract: - lang: eng text: We propose a technique for engineering momentum-dependent dissipation in Bose-Einstein condensates with non-local interactions. The scheme relies on the use of momentum-dependent dark-states in close analogy to velocity-selective coherent population trapping. During the short-time dissipative dynamics, the system is driven into a particular finite-momentum phonon mode, which in real space corresponds to an ordered structure with non-local density-density correlations. Dissipation-induced ordering can be observed and studied in present-day experiments using cold atoms with dipole-dipole or off-resonant Rydberg interactions. Due to its dissipative nature, the ordering does not require artificial breaking of translational symmetry by an opticallattice or harmonic trap. This opens up a perspective of direct cooling of quantum gases into strongly-interacting phases. acknowledgement: This work was supported by NSF through a grant for the Institute for Theoretical Atomic, Molecular, and Optical Physics at Harvard University and Smithsonian Astrophysical Observatory as well as the Harvard Quantum Optics Center. article_number: '070401' author: - first_name: Johannes full_name: Otterbach, Johannes last_name: Otterbach - first_name: Mikhail full_name: Lemeshko, Mikhail id: 37CB05FA-F248-11E8-B48F-1D18A9856A87 last_name: Lemeshko orcid: 0000-0002-6990-7802 citation: ama: Otterbach J, Lemeshko M. Dissipative preparation of spatial order in Rydberg-dressed Bose-Einstein condensates. Physical Review Letters. 2014;113(7). doi:10.1103/PhysRevLett.113.070401 apa: Otterbach, J., & Lemeshko, M. (2014). Dissipative preparation of spatial order in Rydberg-dressed Bose-Einstein condensates. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.113.070401 chicago: Otterbach, Johannes, and Mikhail Lemeshko. “Dissipative Preparation of Spatial Order in Rydberg-Dressed Bose-Einstein Condensates.” Physical Review Letters. American Physical Society, 2014. https://doi.org/10.1103/PhysRevLett.113.070401. ieee: J. Otterbach and M. Lemeshko, “Dissipative preparation of spatial order in Rydberg-dressed Bose-Einstein condensates,” Physical Review Letters, vol. 113, no. 7. American Physical Society, 2014. ista: Otterbach J, Lemeshko M. 2014. Dissipative preparation of spatial order in Rydberg-dressed Bose-Einstein condensates. Physical Review Letters. 113(7), 070401. mla: Otterbach, Johannes, and Mikhail Lemeshko. “Dissipative Preparation of Spatial Order in Rydberg-Dressed Bose-Einstein Condensates.” Physical Review Letters, vol. 113, no. 7, 070401, American Physical Society, 2014, doi:10.1103/PhysRevLett.113.070401. short: J. Otterbach, M. Lemeshko, Physical Review Letters 113 (2014). date_created: 2018-12-11T11:55:56Z date_published: 2014-08-11T00:00:00Z date_updated: 2021-01-12T06:55:33Z day: '11' doi: 10.1103/PhysRevLett.113.070401 extern: '1' intvolume: ' 113' issue: '7' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1308.5905 month: '08' oa: 1 oa_version: Submitted Version publication: Physical Review Letters publication_status: published publisher: American Physical Society publist_id: '4884' status: public title: Dissipative preparation of spatial order in Rydberg-dressed Bose-Einstein condensates type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 113 year: '2014' ... --- _id: '2153' abstract: - lang: eng text: 'We define a simple, explicit map sending a morphism f : M → N of pointwise finite dimensional persistence modules to a matching between the barcodes of M and N. Our main result is that, in a precise sense, the quality of this matching is tightly controlled by the lengths of the longest intervals in the barcodes of ker f and coker f . As an immediate corollary, we obtain a new proof of the algebraic stability theorem for persistence barcodes [5, 9], a fundamental result in the theory of persistent homology. In contrast to previous proofs, ours shows explicitly how a δ-interleaving morphism between two persistence modules induces a δ-matching between the barcodes of the two modules. Our main result also specializes to a structure theorem for submodules and quotients of persistence modules. Copyright is held by the owner/author(s).' author: - first_name: Ulrich full_name: Bauer, Ulrich id: 2ADD483A-F248-11E8-B48F-1D18A9856A87 last_name: Bauer orcid: 0000-0002-9683-0724 - first_name: Michael full_name: Lesnick, Michael last_name: Lesnick citation: ama: 'Bauer U, Lesnick M. Induced matchings of barcodes and the algebraic stability of persistence. In: Proceedings of the Annual Symposium on Computational Geometry. ACM; 2014:355-364. doi:10.1145/2582112.2582168' apa: 'Bauer, U., & Lesnick, M. (2014). Induced matchings of barcodes and the algebraic stability of persistence. In Proceedings of the Annual Symposium on Computational Geometry (pp. 355–364). Kyoto, Japan: ACM. https://doi.org/10.1145/2582112.2582168' chicago: Bauer, Ulrich, and Michael Lesnick. “Induced Matchings of Barcodes and the Algebraic Stability of Persistence.” In Proceedings of the Annual Symposium on Computational Geometry, 355–64. ACM, 2014. https://doi.org/10.1145/2582112.2582168. ieee: U. Bauer and M. Lesnick, “Induced matchings of barcodes and the algebraic stability of persistence,” in Proceedings of the Annual Symposium on Computational Geometry, Kyoto, Japan, 2014, pp. 355–364. ista: 'Bauer U, Lesnick M. 2014. Induced matchings of barcodes and the algebraic stability of persistence. Proceedings of the Annual Symposium on Computational Geometry. SoCG: Symposium on Computational Geometry, 355–364.' mla: Bauer, Ulrich, and Michael Lesnick. “Induced Matchings of Barcodes and the Algebraic Stability of Persistence.” Proceedings of the Annual Symposium on Computational Geometry, ACM, 2014, pp. 355–64, doi:10.1145/2582112.2582168. short: U. Bauer, M. Lesnick, in:, Proceedings of the Annual Symposium on Computational Geometry, ACM, 2014, pp. 355–364. conference: end_date: 2014-06-11 location: Kyoto, Japan name: 'SoCG: Symposium on Computational Geometry' start_date: 2014-06-08 date_created: 2018-12-11T11:56:01Z date_published: 2014-06-01T00:00:00Z date_updated: 2021-01-12T06:55:38Z day: '01' department: - _id: HeEd doi: 10.1145/2582112.2582168 ec_funded: 1 language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1311.3681 month: '06' oa: 1 oa_version: Submitted Version page: 355 - 364 project: - _id: 255D761E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '318493' name: Topological Complex Systems publication: Proceedings of the Annual Symposium on Computational Geometry publication_status: published publisher: ACM publist_id: '4853' quality_controlled: '1' scopus_import: 1 status: public title: Induced matchings of barcodes and the algebraic stability of persistence type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2154' abstract: - lang: eng text: A result of Boros and Füredi (d = 2) and of Bárány (arbitrary d) asserts that for every d there exists cd > 0 such that for every n-point set P ⊂ ℝd, some point of ℝd is covered by at least (Formula presented.) of the d-simplices spanned by the points of P. The largest possible value of cd has been the subject of ongoing research. Recently Gromov improved the existing lower bounds considerably by introducing a new, topological proof method. We provide an exposition of the combinatorial component of Gromov's approach, in terms accessible to combinatorialists and discrete geometers, and we investigate the limits of his method. In particular, we give tighter bounds on the cofilling profiles for the (n - 1)-simplex. These bounds yield a minor improvement over Gromov's lower bounds on cd for large d, but they also show that the room for further improvement through the cofilling profiles alone is quite small. We also prove a slightly better lower bound for c3 by an approach using an additional structure besides the cofilling profiles. We formulate a combinatorial extremal problem whose solution might perhaps lead to a tight lower bound for cd. acknowledgement: Swiss National Science Foundation (SNF 200021-125309, 200020-138230, 200020-12507) author: - first_name: Jiří full_name: Matoušek, Jiří last_name: Matoušek - first_name: Uli full_name: Wagner, Uli id: 36690CA2-F248-11E8-B48F-1D18A9856A87 last_name: Wagner orcid: 0000-0002-1494-0568 citation: ama: Matoušek J, Wagner U. On Gromov’s method of selecting heavily covered points. Discrete & Computational Geometry. 2014;52(1):1-33. doi:10.1007/s00454-014-9584-7 apa: Matoušek, J., & Wagner, U. (2014). On Gromov’s method of selecting heavily covered points. Discrete & Computational Geometry. Springer. https://doi.org/10.1007/s00454-014-9584-7 chicago: Matoušek, Jiří, and Uli Wagner. “On Gromov’s Method of Selecting Heavily Covered Points.” Discrete & Computational Geometry. Springer, 2014. https://doi.org/10.1007/s00454-014-9584-7. ieee: J. Matoušek and U. Wagner, “On Gromov’s method of selecting heavily covered points,” Discrete & Computational Geometry, vol. 52, no. 1. Springer, pp. 1–33, 2014. ista: Matoušek J, Wagner U. 2014. On Gromov’s method of selecting heavily covered points. Discrete & Computational Geometry. 52(1), 1–33. mla: Matoušek, Jiří, and Uli Wagner. “On Gromov’s Method of Selecting Heavily Covered Points.” Discrete & Computational Geometry, vol. 52, no. 1, Springer, 2014, pp. 1–33, doi:10.1007/s00454-014-9584-7. short: J. Matoušek, U. Wagner, Discrete & Computational Geometry 52 (2014) 1–33. date_created: 2018-12-11T11:56:01Z date_published: 2014-07-01T00:00:00Z date_updated: 2021-01-12T06:55:38Z day: '01' department: - _id: UlWa doi: 10.1007/s00454-014-9584-7 intvolume: ' 52' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1102.3515 month: '07' oa: 1 oa_version: Submitted Version page: 1 - 33 project: - _id: 25FA3206-B435-11E9-9278-68D0E5697425 grant_number: PP00P2_138948 name: 'Embeddings in Higher Dimensions: Algorithms and Combinatorics' publication: Discrete & Computational Geometry publication_status: published publisher: Springer publist_id: '4852' quality_controlled: '1' scopus_import: 1 status: public title: On Gromov's method of selecting heavily covered points type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 52 year: '2014' ... --- _id: '2156' abstract: - lang: eng text: We propose a metric for Reeb graphs, called the functional distortion distance. Under this distance, the Reeb graph is stable against small changes of input functions. At the same time, it remains discriminative at differentiating input functions. In particular, the main result is that the functional distortion distance between two Reeb graphs is bounded from below by the bottleneck distance between both the ordinary and extended persistence diagrams for appropriate dimensions. As an application of our results, we analyze a natural simplification scheme for Reeb graphs, and show that persistent features in Reeb graph remains persistent under simplification. Understanding the stability of important features of the Reeb graph under simplification is an interesting problem on its own right, and critical to the practical usage of Reeb graphs. Copyright is held by the owner/author(s). acknowledgement: National Science Foundation under grants CCF-1319406, CCF-1116258. author: - first_name: Ulrich full_name: Bauer, Ulrich id: 2ADD483A-F248-11E8-B48F-1D18A9856A87 last_name: Bauer orcid: 0000-0002-9683-0724 - first_name: Xiaoyin full_name: Ge, Xiaoyin last_name: Ge - first_name: Yusu full_name: Wang, Yusu last_name: Wang citation: ama: 'Bauer U, Ge X, Wang Y. Measuring distance between Reeb graphs. In: Proceedings of the Annual Symposium on Computational Geometry. ACM; 2014:464-473. doi:10.1145/2582112.2582169' apa: 'Bauer, U., Ge, X., & Wang, Y. (2014). Measuring distance between Reeb graphs. In Proceedings of the Annual Symposium on Computational Geometry (pp. 464–473). Kyoto, Japan: ACM. https://doi.org/10.1145/2582112.2582169' chicago: Bauer, Ulrich, Xiaoyin Ge, and Yusu Wang. “Measuring Distance between Reeb Graphs.” In Proceedings of the Annual Symposium on Computational Geometry, 464–73. ACM, 2014. https://doi.org/10.1145/2582112.2582169. ieee: U. Bauer, X. Ge, and Y. Wang, “Measuring distance between Reeb graphs,” in Proceedings of the Annual Symposium on Computational Geometry, Kyoto, Japan, 2014, pp. 464–473. ista: 'Bauer U, Ge X, Wang Y. 2014. Measuring distance between Reeb graphs. Proceedings of the Annual Symposium on Computational Geometry. SoCG: Symposium on Computational Geometry, 464–473.' mla: Bauer, Ulrich, et al. “Measuring Distance between Reeb Graphs.” Proceedings of the Annual Symposium on Computational Geometry, ACM, 2014, pp. 464–73, doi:10.1145/2582112.2582169. short: U. Bauer, X. Ge, Y. Wang, in:, Proceedings of the Annual Symposium on Computational Geometry, ACM, 2014, pp. 464–473. conference: end_date: 2014-06-11 location: Kyoto, Japan name: 'SoCG: Symposium on Computational Geometry' start_date: 2014-06-08 date_created: 2018-12-11T11:56:02Z date_published: 2014-06-01T00:00:00Z date_updated: 2021-01-12T06:55:39Z day: '01' department: - _id: HeEd doi: 10.1145/2582112.2582169 ec_funded: 1 language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1307.2839 month: '06' oa: 1 oa_version: Submitted Version page: 464 - 473 project: - _id: 255D761E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '318493' name: Topological Complex Systems publication: Proceedings of the Annual Symposium on Computational Geometry publication_status: published publisher: ACM publist_id: '4850' quality_controlled: '1' scopus_import: 1 status: public title: Measuring distance between Reeb graphs type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2155' abstract: - lang: eng text: Given a finite set of points in Rn and a positive radius, we study the Čech, Delaunay-Čech, alpha, and wrap complexes as instances of a generalized discrete Morse theory. We prove that the latter three complexes are simple-homotopy equivalent. Our results have applications in topological data analysis and in the reconstruction of shapes from sampled data. Copyright is held by the owner/author(s). acknowledgement: This research is partially supported by ESF under the ACAT Research Network Programme, and by the Russian Government under mega project 11.G34.31.0053 author: - first_name: Ulrich full_name: Bauer, Ulrich id: 2ADD483A-F248-11E8-B48F-1D18A9856A87 last_name: Bauer orcid: 0000-0002-9683-0724 - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 citation: ama: 'Bauer U, Edelsbrunner H. The morse theory of Čech and Delaunay filtrations. In: Proceedings of the Annual Symposium on Computational Geometry. ACM; 2014:484-490. doi:10.1145/2582112.2582167' apa: 'Bauer, U., & Edelsbrunner, H. (2014). The morse theory of Čech and Delaunay filtrations. In Proceedings of the Annual Symposium on Computational Geometry (pp. 484–490). Kyoto, Japan: ACM. https://doi.org/10.1145/2582112.2582167' chicago: Bauer, Ulrich, and Herbert Edelsbrunner. “The Morse Theory of Čech and Delaunay Filtrations.” In Proceedings of the Annual Symposium on Computational Geometry, 484–90. ACM, 2014. https://doi.org/10.1145/2582112.2582167. ieee: U. Bauer and H. Edelsbrunner, “The morse theory of Čech and Delaunay filtrations,” in Proceedings of the Annual Symposium on Computational Geometry, Kyoto, Japan, 2014, pp. 484–490. ista: 'Bauer U, Edelsbrunner H. 2014. The morse theory of Čech and Delaunay filtrations. Proceedings of the Annual Symposium on Computational Geometry. SoCG: Symposium on Computational Geometry, 484–490.' mla: Bauer, Ulrich, and Herbert Edelsbrunner. “The Morse Theory of Čech and Delaunay Filtrations.” Proceedings of the Annual Symposium on Computational Geometry, ACM, 2014, pp. 484–90, doi:10.1145/2582112.2582167. short: U. Bauer, H. Edelsbrunner, in:, Proceedings of the Annual Symposium on Computational Geometry, ACM, 2014, pp. 484–490. conference: end_date: 2014-06-11 location: Kyoto, Japan name: 'SoCG: Symposium on Computational Geometry' start_date: 2014-06-08 date_created: 2018-12-11T11:56:01Z date_published: 2014-06-01T00:00:00Z date_updated: 2021-01-12T06:55:38Z day: '01' department: - _id: HeEd doi: 10.1145/2582112.2582167 ec_funded: 1 language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1312.1231 month: '06' oa: 1 oa_version: Submitted Version page: 484 - 490 project: - _id: 255D761E-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '318493' name: Topological Complex Systems publication: Proceedings of the Annual Symposium on Computational Geometry publication_status: published publisher: ACM publist_id: '4851' quality_controlled: '1' scopus_import: 1 status: public title: The morse theory of Čech and Delaunay filtrations type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2158' abstract: - lang: eng text: Directional guidance of migrating cells is relatively well explored in the reductionist setting of cell culture experiments. Here spatial gradients of chemical cues as well as gradients of mechanical substrate characteristics prove sufficient to attract single cells as well as their collectives. How such gradients present and act in the context of an organism is far less clear. Here we review recent advances in understanding how guidance cues emerge and operate in the physiological context. acknowledgement: This effort was supported by the Intramural Research Program of the Center for Cancer Research, NCI, National Institutes of Health and the European Research Council (ERC). author: - first_name: Ritankar full_name: Majumdar, Ritankar last_name: Majumdar - first_name: Michael K full_name: Sixt, Michael K id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87 last_name: Sixt orcid: 0000-0002-6620-9179 - first_name: Carole full_name: Parent, Carole last_name: Parent citation: ama: Majumdar R, Sixt MK, Parent C. New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. 2014;30(1):33-40. doi:10.1016/j.ceb.2014.05.010 apa: Majumdar, R., Sixt, M. K., & Parent, C. (2014). New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. Elsevier. https://doi.org/10.1016/j.ceb.2014.05.010 chicago: Majumdar, Ritankar, Michael K Sixt, and Carole Parent. “New Paradigms in the Establishment and Maintenance of Gradients during Directed Cell Migration.” Current Opinion in Cell Biology. Elsevier, 2014. https://doi.org/10.1016/j.ceb.2014.05.010. ieee: R. Majumdar, M. K. Sixt, and C. Parent, “New paradigms in the establishment and maintenance of gradients during directed cell migration,” Current Opinion in Cell Biology, vol. 30, no. 1. Elsevier, pp. 33–40, 2014. ista: Majumdar R, Sixt MK, Parent C. 2014. New paradigms in the establishment and maintenance of gradients during directed cell migration. Current Opinion in Cell Biology. 30(1), 33–40. mla: Majumdar, Ritankar, et al. “New Paradigms in the Establishment and Maintenance of Gradients during Directed Cell Migration.” Current Opinion in Cell Biology, vol. 30, no. 1, Elsevier, 2014, pp. 33–40, doi:10.1016/j.ceb.2014.05.010. short: R. Majumdar, M.K. Sixt, C. Parent, Current Opinion in Cell Biology 30 (2014) 33–40. date_created: 2018-12-11T11:56:03Z date_published: 2014-10-01T00:00:00Z date_updated: 2021-01-12T06:55:40Z day: '01' department: - _id: MiSi doi: 10.1016/j.ceb.2014.05.010 external_id: pmid: - '24959970' intvolume: ' 30' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177954/ month: '10' oa: 1 oa_version: Submitted Version page: 33 - 40 pmid: 1 publication: Current Opinion in Cell Biology publication_status: published publisher: Elsevier publist_id: '4848' quality_controlled: '1' scopus_import: 1 status: public title: New paradigms in the establishment and maintenance of gradients during directed cell migration type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 30 year: '2014' ... --- _id: '2165' abstract: - lang: eng text: 'In machine learning, the domain adaptation problem arrives when the test (tar-get) and the train (source) data are generated from different distributions. A key applied issue is thus the design of algorithms able to generalize on a new distribution, for which we have no label information. We focus on learning classification models defined as a weighted majority vote over a set of real-valued functions. In this context, Germain et al. (2013) have shown that a measure of disagreement between these functions is crucial to control. The core of this measure is a theoretical bound—the C-bound (Lacasse et al., 2007)—which involves the disagreement and leads to a well performing majority vote learn-ing algorithm in usual non-adaptative supervised setting: MinCq. In this work,we propose a framework to extend MinCq to a domain adaptation scenario.This procedure takes advantage of the recent perturbed variation divergence between distributions proposed by Harel and Mannor (2012). Justified by a theoretical bound on the target risk of the vote, we provide to MinCq a tar-get sample labeled thanks to a perturbed variation-based self-labeling focused on the regions where the source and target marginals appear similar. We also study the influence of our self-labeling, from which we deduce an original process for tuning the hyperparameters. Finally, our framework called PV-MinCq shows very promising results on a rotation and translation synthetic problem.' author: - first_name: Emilie full_name: Morvant, Emilie id: 4BAC2A72-F248-11E8-B48F-1D18A9856A87 last_name: Morvant orcid: 0000-0002-8301-7240 citation: ama: Morvant E. Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters. 2014;51:37-43. doi:10.1016/j.patrec.2014.08.013 apa: Morvant, E. (2014). Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2014.08.013 chicago: Morvant, Emilie. “Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling.” Pattern Recognition Letters. Elsevier, 2014. https://doi.org/10.1016/j.patrec.2014.08.013. ieee: E. Morvant, “Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling,” Pattern Recognition Letters, vol. 51. Elsevier, pp. 37–43, 2014. ista: Morvant E. 2014. Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters. 51, 37–43. mla: Morvant, Emilie. “Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling.” Pattern Recognition Letters, vol. 51, Elsevier, 2014, pp. 37–43, doi:10.1016/j.patrec.2014.08.013. short: E. Morvant, Pattern Recognition Letters 51 (2014) 37–43. date_created: 2018-12-11T11:56:05Z date_published: 2014-10-01T00:00:00Z date_updated: 2021-01-12T06:55:43Z day: '01' doi: 10.1016/j.patrec.2014.08.013 ec_funded: 1 extern: '1' intvolume: ' 51' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1410.0334 month: '10' oa: 1 oa_version: Submitted Version page: 37-43 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: Pattern Recognition Letters publication_status: published publisher: Elsevier publist_id: '4819' quality_controlled: '1' status: public title: Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 51 year: '2014' ... --- _id: '2164' abstract: - lang: eng text: 'Neuronal ectopia, such as granule cell dispersion (GCD) in temporal lobe epilepsy (TLE), has been assumed to result from a migration defect during development. Indeed, recent studies reported that aberrant migration of neonatal-generated dentate granule cells (GCs) increased the risk to develop epilepsy later in life. On the contrary, in the present study, we show that fully differentiated GCs become motile following the induction of epileptiform activity, resulting in GCD. Hippocampal slice cultures from transgenic mice expressing green fluorescent protein in differentiated, but not in newly generated GCs, were incubated with the glutamate receptor agonist kainate (KA), which induced GC burst activity and GCD. Using real-time microscopy, we observed that KA-exposed, differentiated GCs translocated their cell bodies and changed their dendritic organization. As found in human TLE, KA application was associated with decreased expression of the extracellular matrix protein Reelin, particularly in hilar interneurons. Together these findings suggest that KA-induced motility of differentiated GCs contributes to the development of GCD and establish slice cultures as a model to study neuronal changes induced by epileptiform activity. ' author: - first_name: Xuejun full_name: Chai, Xuejun last_name: Chai - first_name: Gert full_name: Münzner, Gert last_name: Münzner - first_name: Shanting full_name: Zhao, Shanting last_name: Zhao - first_name: Stefanie full_name: Tinnes, Stefanie last_name: Tinnes - first_name: Janina full_name: Kowalski, Janina id: 3F3CA136-F248-11E8-B48F-1D18A9856A87 last_name: Kowalski - first_name: Ute full_name: Häussler, Ute last_name: Häussler - first_name: Christina full_name: Young, Christina last_name: Young - first_name: Carola full_name: Haas, Carola last_name: Haas - first_name: Michael full_name: Frotscher, Michael last_name: Frotscher citation: ama: Chai X, Münzner G, Zhao S, et al. Epilepsy-induced motility of differentiated neurons. Cerebral Cortex. 2014;24(8):2130-2140. doi:10.1093/cercor/bht067 apa: Chai, X., Münzner, G., Zhao, S., Tinnes, S., Kowalski, J., Häussler, U., … Frotscher, M. (2014). Epilepsy-induced motility of differentiated neurons. Cerebral Cortex. Oxford University Press. https://doi.org/10.1093/cercor/bht067 chicago: Chai, Xuejun, Gert Münzner, Shanting Zhao, Stefanie Tinnes, Janina Kowalski, Ute Häussler, Christina Young, Carola Haas, and Michael Frotscher. “Epilepsy-Induced Motility of Differentiated Neurons.” Cerebral Cortex. Oxford University Press, 2014. https://doi.org/10.1093/cercor/bht067. ieee: X. Chai et al., “Epilepsy-induced motility of differentiated neurons,” Cerebral Cortex, vol. 24, no. 8. Oxford University Press, pp. 2130–2140, 2014. ista: Chai X, Münzner G, Zhao S, Tinnes S, Kowalski J, Häussler U, Young C, Haas C, Frotscher M. 2014. Epilepsy-induced motility of differentiated neurons. Cerebral Cortex. 24(8), 2130–2140. mla: Chai, Xuejun, et al. “Epilepsy-Induced Motility of Differentiated Neurons.” Cerebral Cortex, vol. 24, no. 8, Oxford University Press, 2014, pp. 2130–40, doi:10.1093/cercor/bht067. short: X. Chai, G. Münzner, S. Zhao, S. Tinnes, J. Kowalski, U. Häussler, C. Young, C. Haas, M. Frotscher, Cerebral Cortex 24 (2014) 2130–2140. date_created: 2018-12-11T11:56:04Z date_published: 2014-08-01T00:00:00Z date_updated: 2021-01-12T06:55:43Z day: '01' department: - _id: PeJo doi: 10.1093/cercor/bht067 intvolume: ' 24' issue: '8' language: - iso: eng month: '08' oa_version: None page: 2130 - 2140 publication: Cerebral Cortex publication_status: published publisher: Oxford University Press publist_id: '4820' quality_controlled: '1' scopus_import: 1 status: public title: Epilepsy-induced motility of differentiated neurons type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 24 year: '2014' ... --- _id: '2168' abstract: - lang: eng text: Many species have an essentially continuous distribution in space, in which there are no natural divisions between randomly mating subpopulations. Yet, the standard approach to modelling these populations is to impose an arbitrary grid of demes, adjusting deme sizes and migration rates in an attempt to capture the important features of the population. Such indirect methods are required because of the failure of the classical models of isolation by distance, which have been shown to have major technical flaws. A recently introduced model of extinction and recolonisation in two dimensions solves these technical problems, and provides a rigorous technical foundation for the study of populations evolving in a spatial continuum. The coalescent process for this model is simply stated, but direct simulation is very inefficient for large neighbourhood sizes. We present efficient and exact algorithms to simulate this coalescent process for arbitrary sample sizes and numbers of loci, and analyse these algorithms in detail. author: - first_name: Jerome full_name: Kelleher, Jerome last_name: Kelleher - first_name: Alison full_name: Etheridge, Alison last_name: Etheridge - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: 'Kelleher J, Etheridge A, Barton NH. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 2014;95:13-23. doi:10.1016/j.tpb.2014.05.001' apa: 'Kelleher, J., Etheridge, A., & Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2014.05.001' chicago: 'Kelleher, Jerome, Alison Etheridge, and Nicholas H Barton. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical Population Biology. Academic Press, 2014. https://doi.org/10.1016/j.tpb.2014.05.001.' ieee: 'J. Kelleher, A. Etheridge, and N. H. Barton, “Coalescent simulation in continuous space: Algorithms for large neighbourhood size,” Theoretical Population Biology, vol. 95. Academic Press, pp. 13–23, 2014.' ista: 'Kelleher J, Etheridge A, Barton NH. 2014. Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. 95, 13–23.' mla: 'Kelleher, Jerome, et al. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.” Theoretical Population Biology, vol. 95, Academic Press, 2014, pp. 13–23, doi:10.1016/j.tpb.2014.05.001.' short: J. Kelleher, A. Etheridge, N.H. Barton, Theoretical Population Biology 95 (2014) 13–23. date_created: 2018-12-11T11:56:06Z date_published: 2014-08-01T00:00:00Z date_updated: 2021-01-12T06:55:44Z day: '01' ddc: - '570' department: - _id: NiBa doi: 10.1016/j.tpb.2014.05.001 ec_funded: 1 file: - access_level: open_access checksum: 979d7a8034e9df198f068f0d251f31bd content_type: application/pdf creator: system date_created: 2018-12-12T10:10:49Z date_updated: 2020-07-14T12:45:31Z file_id: '4839' file_name: IST-2015-391-v1+1_1-s2.0-S0040580914000355-main.pdf file_size: 569005 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 95' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '08' oa: 1 oa_version: Published Version page: 13 - 23 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Theoretical Population Biology publication_status: published publisher: Academic Press publist_id: '4816' pubrep_id: '391' quality_controlled: '1' scopus_import: 1 status: public title: 'Coalescent simulation in continuous space: Algorithms for large neighbourhood size' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 volume: 95 year: '2014' ... --- _id: '2169' author: - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 - first_name: Sebastian full_name: Novak, Sebastian id: 461468AE-F248-11E8-B48F-1D18A9856A87 last_name: Novak - first_name: Tiago full_name: Paixao, Tiago id: 2C5658E6-F248-11E8-B48F-1D18A9856A87 last_name: Paixao orcid: 0000-0003-2361-3953 citation: ama: Barton NH, Novak S, Paixao T. Diverse forms of selection in evolution and computer science. PNAS. 2014;111(29):10398-10399. doi:10.1073/pnas.1410107111 apa: Barton, N. H., Novak, S., & Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.1410107111 chicago: Barton, Nicholas H, Sebastian Novak, and Tiago Paixao. “Diverse Forms of Selection in Evolution and Computer Science.” PNAS. National Academy of Sciences, 2014. https://doi.org/10.1073/pnas.1410107111. ieee: N. H. Barton, S. Novak, and T. Paixao, “Diverse forms of selection in evolution and computer science,” PNAS, vol. 111, no. 29. National Academy of Sciences, pp. 10398–10399, 2014. ista: Barton NH, Novak S, Paixao T. 2014. Diverse forms of selection in evolution and computer science. PNAS. 111(29), 10398–10399. mla: Barton, Nicholas H., et al. “Diverse Forms of Selection in Evolution and Computer Science.” PNAS, vol. 111, no. 29, National Academy of Sciences, 2014, pp. 10398–99, doi:10.1073/pnas.1410107111. short: N.H. Barton, S. Novak, T. Paixao, PNAS 111 (2014) 10398–10399. date_created: 2018-12-11T11:56:07Z date_published: 2014-07-22T00:00:00Z date_updated: 2021-01-12T06:55:45Z day: '22' department: - _id: NiBa doi: 10.1073/pnas.1410107111 intvolume: ' 111' issue: '29' language: - iso: eng main_file_link: - open_access: '1' url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115508/ month: '07' oa: 1 oa_version: Submitted Version page: 10398 - 10399 publication: PNAS publication_status: published publisher: National Academy of Sciences publist_id: '4815' quality_controlled: '1' scopus_import: 1 status: public title: Diverse forms of selection in evolution and computer science type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 111 year: '2014' ... --- _id: '2171' abstract: - lang: eng text: We present LS-CRF, a new method for training cyclic Conditional Random Fields (CRFs) from large datasets that is inspired by classical closed-form expressions for the maximum likelihood parameters of a generative graphical model with tree topology. Training a CRF with LS-CRF requires only solving a set of independent regression problems, each of which can be solved efficiently in closed form or by an iterative solver. This makes LS-CRF orders of magnitude faster than classical CRF training based on probabilistic inference, and at the same time more flexible and easier to implement than other approximate techniques, such as pseudolikelihood or piecewise training. We apply LS-CRF to the task of semantic image segmentation, showing that it achieves on par accuracy to other training techniques at higher speed, thereby allowing efficient CRF training from very large training sets. For example, training a linearly parameterized pairwise CRF on 150,000 images requires less than one hour on a modern workstation. alternative_title: - LNCS author: - first_name: Alexander full_name: Kolesnikov, Alexander id: 2D157DB6-F248-11E8-B48F-1D18A9856A87 last_name: Kolesnikov - first_name: Matthieu full_name: Guillaumin, Matthieu last_name: Guillaumin - first_name: Vittorio full_name: Ferrari, Vittorio last_name: Ferrari - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. Closed-form approximate CRF training for scalable image segmentation. In: Fleet D, Pajdla T, Schiele B, Tuytelaars T, eds. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8691. Springer; 2014:550-565. doi:10.1007/978-3-319-10578-9_36' apa: 'Kolesnikov, A., Guillaumin, M., Ferrari, V., & Lampert, C. (2014). Closed-form approximate CRF training for scalable image segmentation. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8691, pp. 550–565). Zurich, Switzerland: Springer. https://doi.org/10.1007/978-3-319-10578-9_36' chicago: Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014. https://doi.org/10.1007/978-3-319-10578-9_36. ieee: A. Kolesnikov, M. Guillaumin, V. Ferrari, and C. Lampert, “Closed-form approximate CRF training for scalable image segmentation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Zurich, Switzerland, 2014, vol. 8691, no. PART 3, pp. 550–565. ista: 'Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691, 550–565.' mla: Kolesnikov, Alexander, et al. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet et al., vol. 8691, no. PART 3, Springer, 2014, pp. 550–65, doi:10.1007/978-3-319-10578-9_36. short: A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 550–565. conference: end_date: 2014-09-12 location: Zurich, Switzerland name: 'ECCV: European Conference on Computer Vision' start_date: 2014-09-06 date_created: 2018-12-11T11:56:07Z date_published: 2014-09-01T00:00:00Z date_updated: 2021-01-12T06:55:46Z day: '01' department: - _id: ChLa doi: 10.1007/978-3-319-10578-9_36 ec_funded: 1 editor: - first_name: David full_name: Fleet, David last_name: Fleet - first_name: Tomas full_name: Pajdla, Tomas last_name: Pajdla - first_name: Bernt full_name: Schiele, Bernt last_name: Schiele - first_name: Tinne full_name: Tuytelaars, Tinne last_name: Tuytelaars intvolume: ' 8691' issue: PART 3 language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1403.7057 month: '09' oa: 1 oa_version: Submitted Version page: 550 - 565 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) publication_status: published publisher: Springer publist_id: '4813' quality_controlled: '1' scopus_import: 1 status: public title: Closed-form approximate CRF training for scalable image segmentation type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 8691 year: '2014' ... --- _id: '2173' abstract: - lang: eng text: "In this work we introduce a new approach to co-classification, i.e. the task of jointly classifying multiple, otherwise independent, data samples. The method we present, named CoConut, is based on the idea of adding a regularizer in the label space to encode certain priors on the resulting labelings. A regularizer that encourages labelings that are smooth across the test set, for instance, can be seen as a test-time variant of the cluster assumption, which has been proven useful at training time in semi-supervised learning. A regularizer that introduces a preference for certain class proportions can be regarded as a prior distribution on the class labels. CoConut can build on existing classifiers without making any assumptions on how they were obtained and without the need to re-train them. The use of a regularizer adds a new level of flexibility. It allows the integration of potentially new information at test time, even in other modalities than what the classifiers were trained on. We evaluate our framework on six datasets, reporting a clear performance gain in classification accuracy compared to the standard classification setup that predicts labels for each test sample separately.\r\n" author: - first_name: Sameh full_name: Khamis, Sameh last_name: Khamis - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.' apa: 'Khamis, S., & Lampert, C. (2014). CoConut: Co-classification with output space regularization. In Proceedings of the British Machine Vision Conference 2014. Nottingham, UK: BMVA Press.' chicago: 'Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” In Proceedings of the British Machine Vision Conference 2014. BMVA Press, 2014.' ieee: 'S. Khamis and C. Lampert, “CoConut: Co-classification with output space regularization,” in Proceedings of the British Machine Vision Conference 2014, Nottingham, UK, 2014.' ista: 'Khamis S, Lampert C. 2014. CoConut: Co-classification with output space regularization. Proceedings of the British Machine Vision Conference 2014. BMVC: British Machine Vision Conference.' mla: 'Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.' short: S. Khamis, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014. conference: end_date: 2014-09-05 location: Nottingham, UK name: 'BMVC: British Machine Vision Conference' start_date: 2014-09-01 date_created: 2018-12-11T11:56:08Z date_published: 2014-09-01T00:00:00Z date_updated: 2021-01-12T06:55:46Z day: '01' ddc: - '000' department: - _id: ChLa ec_funded: 1 file: - access_level: open_access checksum: c4c6d3efdb8ee648faf3e76849839ce2 content_type: application/pdf creator: system date_created: 2018-12-12T10:08:23Z date_updated: 2020-07-14T12:45:31Z file_id: '4683' file_name: IST-2016-490-v1+1_khamis-bmvc2014.pdf file_size: 408172 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' language: - iso: eng month: '09' oa: 1 oa_version: Published Version project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: Proceedings of the British Machine Vision Conference 2014 publication_status: published publisher: BMVA Press publist_id: '4811' pubrep_id: '490' quality_controlled: '1' scopus_import: 1 status: public title: 'CoConut: Co-classification with output space regularization' type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2172' abstract: - lang: eng text: Fisher Kernels and Deep Learning were two developments with significant impact on large-scale object categorization in the last years. Both approaches were shown to achieve state-of-the-art results on large-scale object categorization datasets, such as ImageNet. Conceptually, however, they are perceived as very different and it is not uncommon for heated debates to spring up when advocates of both paradigms meet at conferences or workshops. In this work, we emphasize the similarities between both architectures rather than their differences and we argue that such a unified view allows us to transfer ideas from one domain to the other. As a concrete example we introduce a method for learning a support vector machine classifier with Fisher kernel at the same time as a task-specific data representation. We reinterpret the setting as a multi-layer feed forward network. Its final layer is the classifier, parameterized by a weight vector, and the two previous layers compute Fisher vectors, parameterized by the coefficients of a Gaussian mixture model. We introduce a gradient descent based learning algorithm that, in contrast to other feature learning techniques, is not just derived from intuition or biological analogy, but has a theoretical justification in the framework of statistical learning theory. Our experiments show that the new training procedure leads to significant improvements in classification accuracy while preserving the modularity and geometric interpretability of a support vector machine setup. author: - first_name: Vladyslav full_name: Sydorov, Vladyslav last_name: Sydorov - first_name: Mayu full_name: Sakurada, Mayu last_name: Sakurada - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Sydorov V, Sakurada M, Lampert C. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE; 2014:1402-1409. doi:10.1109/CVPR.2014.182' apa: 'Sydorov, V., Sakurada, M., & Lampert, C. (2014). Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1402–1409). Columbus, USA: IEEE. https://doi.org/10.1109/CVPR.2014.182' chicago: Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1402–9. IEEE, 2014. https://doi.org/10.1109/CVPR.2014.182. ieee: V. Sydorov, M. Sakurada, and C. Lampert, “Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Columbus, USA, 2014, pp. 1402–1409. ista: 'Sydorov V, Sakurada M, Lampert C. 2014. Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 1402–1409.' mla: Sydorov, Vladyslav, et al. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–09, doi:10.1109/CVPR.2014.182. short: V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–1409. conference: end_date: 2014-06-28 location: Columbus, USA name: 'CVPR: Computer Vision and Pattern Recognition' start_date: 2014-06-23 date_created: 2018-12-11T11:56:08Z date_published: 2014-09-24T00:00:00Z date_updated: 2021-01-12T06:55:46Z day: '24' department: - _id: ChLa doi: 10.1109/CVPR.2014.182 ec_funded: 1 language: - iso: eng month: '09' oa_version: None page: 1402 - 1409 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition publication_status: published publisher: IEEE publist_id: '4812' quality_controlled: '1' scopus_import: 1 status: public title: Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2174' abstract: - lang: eng text: 'When polygenic traits are under stabilizing selection, many different combinations of alleles allow close adaptation to the optimum. If alleles have equal effects, all combinations that result in the same deviation from the optimum are equivalent. Furthermore, the genetic variance that is maintained by mutation-selection balance is 2μ/S per locus, where μ is the mutation rate and S the strength of stabilizing selection. In reality, alleles vary in their effects, making the fitness landscape asymmetric and complicating analysis of the equilibria. We show that that the resulting genetic variance depends on the fraction of alleles near fixation, which contribute by 2μ/S, and on the total mutational effects of alleles that are at intermediate frequency. The inpplayfi between stabilizing selection and mutation leads to a sharp transition: alleles with effects smaller than a threshold value of 2 remain polymorphic, whereas those with larger effects are fixed. The genetic load in equilibrium is less than for traits of equal effects, and the fitness equilibria are more similar. We find p the optimum is displaced, alleles with effects close to the threshold value sweep first, and their rate of increase is bounded by Long-term response leads in general to well-adapted traits, unlike the case of equal effects that often end up at a suboptimal fitness peak. However, the particular peaks to which the populations converge are extremely sensitive to the initial states and to the speed of the shift of the optimum trait value.' author: - first_name: Harold full_name: De Vladar, Harold last_name: De Vladar - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: De Vladar H, Barton NH. Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. 2014;197(2):749-767. doi:10.1534/genetics.113.159111 apa: De Vladar, H., & Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.113.159111 chicago: De Vladar, Harold, and Nicholas H Barton. “Stability and Response of Polygenic Traits to Stabilizing Selection and Mutation.” Genetics. Genetics Society of America, 2014. https://doi.org/10.1534/genetics.113.159111. ieee: H. De Vladar and N. H. Barton, “Stability and response of polygenic traits to stabilizing selection and mutation,” Genetics, vol. 197, no. 2. Genetics Society of America, pp. 749–767, 2014. ista: De Vladar H, Barton NH. 2014. Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. 197(2), 749–767. mla: De Vladar, Harold, and Nicholas H. Barton. “Stability and Response of Polygenic Traits to Stabilizing Selection and Mutation.” Genetics, vol. 197, no. 2, Genetics Society of America, 2014, pp. 749–67, doi:10.1534/genetics.113.159111. short: H. De Vladar, N.H. Barton, Genetics 197 (2014) 749–767. date_created: 2018-12-11T11:56:08Z date_published: 2014-06-01T00:00:00Z date_updated: 2021-01-12T06:55:47Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.113.159111 ec_funded: 1 intvolume: ' 197' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1404.1017 month: '06' oa: 1 oa_version: Submitted Version page: 749 - 767 project: - _id: 25B07788-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '250152' name: Limits to selection in biology and in evolutionary computation publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '4809' quality_controlled: '1' scopus_import: 1 status: public title: Stability and response of polygenic traits to stabilizing selection and mutation type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 197 year: '2014' ... --- _id: '2179' abstract: - lang: eng text: We extend the proof of the local semicircle law for generalized Wigner matrices given in MR3068390 to the case when the matrix of variances has an eigenvalue -1. In particular, this result provides a short proof of the optimal local Marchenko-Pastur law at the hard edge (i.e. around zero) for sample covariance matrices X*X, where the variances of the entries of X may vary. author: - first_name: Oskari H full_name: Ajanki, Oskari H id: 36F2FB7E-F248-11E8-B48F-1D18A9856A87 last_name: Ajanki - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 - first_name: Torben H full_name: Krüger, Torben H id: 3020C786-F248-11E8-B48F-1D18A9856A87 last_name: Krüger orcid: 0000-0002-4821-3297 citation: ama: Ajanki OH, Erdös L, Krüger TH. Local semicircle law with imprimitive variance matrix. Electronic Communications in Probability. 2014;19. doi:10.1214/ECP.v19-3121 apa: Ajanki, O. H., Erdös, L., & Krüger, T. H. (2014). Local semicircle law with imprimitive variance matrix. Electronic Communications in Probability. Institute of Mathematical Statistics. https://doi.org/10.1214/ECP.v19-3121 chicago: Ajanki, Oskari H, László Erdös, and Torben H Krüger. “Local Semicircle Law with Imprimitive Variance Matrix.” Electronic Communications in Probability. Institute of Mathematical Statistics, 2014. https://doi.org/10.1214/ECP.v19-3121. ieee: O. H. Ajanki, L. Erdös, and T. H. Krüger, “Local semicircle law with imprimitive variance matrix,” Electronic Communications in Probability, vol. 19. Institute of Mathematical Statistics, 2014. ista: Ajanki OH, Erdös L, Krüger TH. 2014. Local semicircle law with imprimitive variance matrix. Electronic Communications in Probability. 19. mla: Ajanki, Oskari H., et al. “Local Semicircle Law with Imprimitive Variance Matrix.” Electronic Communications in Probability, vol. 19, Institute of Mathematical Statistics, 2014, doi:10.1214/ECP.v19-3121. short: O.H. Ajanki, L. Erdös, T.H. Krüger, Electronic Communications in Probability 19 (2014). date_created: 2018-12-11T11:56:10Z date_published: 2014-06-09T00:00:00Z date_updated: 2021-01-12T06:55:48Z day: '09' ddc: - '570' department: - _id: LaEr doi: 10.1214/ECP.v19-3121 file: - access_level: open_access checksum: bd8a041c76d62fe820bf73ff13ce7d1b content_type: application/pdf creator: system date_created: 2018-12-12T10:09:06Z date_updated: 2020-07-14T12:45:31Z file_id: '4729' file_name: IST-2016-426-v1+1_3121-17518-1-PB.pdf file_size: 327322 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 19' language: - iso: eng month: '06' oa: 1 oa_version: Published Version publication: Electronic Communications in Probability publication_status: published publisher: Institute of Mathematical Statistics publist_id: '4803' pubrep_id: '426' quality_controlled: '1' scopus_import: 1 status: public title: Local semicircle law with imprimitive variance matrix tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 19 year: '2014' ... --- _id: '2176' abstract: - lang: eng text: Electron microscopy (EM) allows for the simultaneous visualization of all tissue components at high resolution. However, the extent to which conventional aldehyde fixation and ethanol dehydration of the tissue alter the fine structure of cells and organelles, thereby preventing detection of subtle structural changes induced by an experiment, has remained an issue. Attempts have been made to rapidly freeze tissue to preserve native ultrastructure. Shock-freezing of living tissue under high pressure (high-pressure freezing, HPF) followed by cryosubstitution of the tissue water avoids aldehyde fixation and dehydration in ethanol; the tissue water is immobilized in â ̂1/450 ms, and a close-to-native fine structure of cells, organelles and molecules is preserved. Here we describe a protocol for HPF that is useful to monitor ultrastructural changes associated with functional changes at synapses in the brain but can be applied to many other tissues as well. The procedure requires a high-pressure freezer and takes a minimum of 7 d but can be paused at several points. author: - first_name: Daniel full_name: Studer, Daniel last_name: Studer - first_name: Shanting full_name: Zhao, Shanting last_name: Zhao - first_name: Xuejun full_name: Chai, Xuejun last_name: Chai - first_name: Peter M full_name: Jonas, Peter M id: 353C1B58-F248-11E8-B48F-1D18A9856A87 last_name: Jonas orcid: 0000-0001-5001-4804 - first_name: Werner full_name: Graber, Werner last_name: Graber - first_name: Sigrun full_name: Nestel, Sigrun last_name: Nestel - first_name: Michael full_name: Frotscher, Michael last_name: Frotscher citation: ama: Studer D, Zhao S, Chai X, et al. Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. 2014;9(6):1480-1495. doi:10.1038/nprot.2014.099 apa: Studer, D., Zhao, S., Chai, X., Jonas, P. M., Graber, W., Nestel, S., & Frotscher, M. (2014). Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. Nature Publishing Group. https://doi.org/10.1038/nprot.2014.099 chicago: Studer, Daniel, Shanting Zhao, Xuejun Chai, Peter M Jonas, Werner Graber, Sigrun Nestel, and Michael Frotscher. “Capture of Activity-Induced Ultrastructural Changes at Synapses by High-Pressure Freezing of Brain Tissue.” Nature Protocols. Nature Publishing Group, 2014. https://doi.org/10.1038/nprot.2014.099. ieee: D. Studer et al., “Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue,” Nature Protocols, vol. 9, no. 6. Nature Publishing Group, pp. 1480–1495, 2014. ista: Studer D, Zhao S, Chai X, Jonas PM, Graber W, Nestel S, Frotscher M. 2014. Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. 9(6), 1480–1495. mla: Studer, Daniel, et al. “Capture of Activity-Induced Ultrastructural Changes at Synapses by High-Pressure Freezing of Brain Tissue.” Nature Protocols, vol. 9, no. 6, Nature Publishing Group, 2014, pp. 1480–95, doi:10.1038/nprot.2014.099. short: D. Studer, S. Zhao, X. Chai, P.M. Jonas, W. Graber, S. Nestel, M. Frotscher, Nature Protocols 9 (2014) 1480–1495. date_created: 2018-12-11T11:56:09Z date_published: 2014-05-29T00:00:00Z date_updated: 2021-01-12T06:55:47Z day: '29' department: - _id: PeJo doi: 10.1038/nprot.2014.099 intvolume: ' 9' issue: '6' language: - iso: eng month: '05' oa_version: None page: 1480 - 1495 project: - _id: 25BDE9A4-B435-11E9-9278-68D0E5697425 grant_number: SFB-TR3-TP10B name: Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen publication: Nature Protocols publication_status: published publisher: Nature Publishing Group publist_id: '4807' quality_controlled: '1' scopus_import: 1 status: public title: Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 9 year: '2014' ... --- _id: '2178' abstract: - lang: eng text: We consider the three-state toric homogeneous Markov chain model (THMC) without loops and initial parameters. At time T, the size of the design matrix is 6 × 3 · 2T-1 and the convex hull of its columns is the model polytope. We study the behavior of this polytope for T ≥ 3 and we show that it is defined by 24 facets for all T ≥ 5. Moreover, we give a complete description of these facets. From this, we deduce that the toric ideal associated with the design matrix is generated by binomials of degree at most 6. Our proof is based on a result due to Sturmfels, who gave a bound on the degree of the generators of a toric ideal, provided the normality of the corresponding toric variety. In our setting, we established the normality of the toric variety associated to the THMC model by studying the geometric properties of the model polytope. acknowledgement: Research of Martín del Campo supported in part by NSF Grant DMS-915211. author: - first_name: David full_name: Haws, David last_name: Haws - first_name: Abraham full_name: Martin Del Campo Sanchez, Abraham id: 4CF47F6A-F248-11E8-B48F-1D18A9856A87 last_name: Martin Del Campo Sanchez - first_name: Akimichi full_name: Takemura, Akimichi last_name: Takemura - first_name: Ruriko full_name: Yoshida, Ruriko last_name: Yoshida citation: ama: Haws D, Martin del Campo Sanchez A, Takemura A, Yoshida R. Markov degree of the three-state toric homogeneous Markov chain model. Beitrage zur Algebra und Geometrie. 2014;55(1):161-188. doi:10.1007/s13366-013-0178-y apa: Haws, D., Martin del Campo Sanchez, A., Takemura, A., & Yoshida, R. (2014). Markov degree of the three-state toric homogeneous Markov chain model. Beitrage Zur Algebra Und Geometrie. Springer. https://doi.org/10.1007/s13366-013-0178-y chicago: Haws, David, Abraham Martin del Campo Sanchez, Akimichi Takemura, and Ruriko Yoshida. “Markov Degree of the Three-State Toric Homogeneous Markov Chain Model.” Beitrage Zur Algebra Und Geometrie. Springer, 2014. https://doi.org/10.1007/s13366-013-0178-y. ieee: D. Haws, A. Martin del Campo Sanchez, A. Takemura, and R. Yoshida, “Markov degree of the three-state toric homogeneous Markov chain model,” Beitrage zur Algebra und Geometrie, vol. 55, no. 1. Springer, pp. 161–188, 2014. ista: Haws D, Martin del Campo Sanchez A, Takemura A, Yoshida R. 2014. Markov degree of the three-state toric homogeneous Markov chain model. Beitrage zur Algebra und Geometrie. 55(1), 161–188. mla: Haws, David, et al. “Markov Degree of the Three-State Toric Homogeneous Markov Chain Model.” Beitrage Zur Algebra Und Geometrie, vol. 55, no. 1, Springer, 2014, pp. 161–88, doi:10.1007/s13366-013-0178-y. short: D. Haws, A. Martin del Campo Sanchez, A. Takemura, R. Yoshida, Beitrage Zur Algebra Und Geometrie 55 (2014) 161–188. date_created: 2018-12-11T11:56:10Z date_published: 2014-03-01T00:00:00Z date_updated: 2021-01-12T06:55:48Z day: '01' department: - _id: CaUh doi: 10.1007/s13366-013-0178-y intvolume: ' 55' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: http://arxiv.org/abs/1204.3070 month: '03' oa: 1 oa_version: Submitted Version page: 161 - 188 publication: Beitrage zur Algebra und Geometrie publication_status: published publisher: Springer publist_id: '4804' quality_controlled: '1' scopus_import: 1 status: public title: Markov degree of the three-state toric homogeneous Markov chain model type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 55 year: '2014' ... --- _id: '2177' abstract: - lang: eng text: We give evidence for the difficulty of computing Betti numbers of simplicial complexes over a finite field. We do this by reducing the rank computation for sparse matrices with to non-zero entries to computing Betti numbers of simplicial complexes consisting of at most a constant times to simplices. Together with the known reduction in the other direction, this implies that the two problems have the same computational complexity. author: - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 - first_name: Salman full_name: Parsa, Salman id: 4BDBD4F2-F248-11E8-B48F-1D18A9856A87 last_name: Parsa citation: ama: 'Edelsbrunner H, Parsa S. On the computational complexity of betti numbers reductions from matrix rank. In: Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. SIAM; 2014:152-160. doi:10.1137/1.9781611973402.11' apa: 'Edelsbrunner, H., & Parsa, S. (2014). On the computational complexity of betti numbers reductions from matrix rank. In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 152–160). Portland, USA: SIAM. https://doi.org/10.1137/1.9781611973402.11' chicago: Edelsbrunner, Herbert, and Salman Parsa. “On the Computational Complexity of Betti Numbers Reductions from Matrix Rank.” In Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, 152–60. SIAM, 2014. https://doi.org/10.1137/1.9781611973402.11. ieee: H. Edelsbrunner and S. Parsa, “On the computational complexity of betti numbers reductions from matrix rank,” in Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, Portland, USA, 2014, pp. 152–160. ista: 'Edelsbrunner H, Parsa S. 2014. On the computational complexity of betti numbers reductions from matrix rank. Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. SODA: Symposium on Discrete Algorithms, 152–160.' mla: Edelsbrunner, Herbert, and Salman Parsa. “On the Computational Complexity of Betti Numbers Reductions from Matrix Rank.” Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, 2014, pp. 152–60, doi:10.1137/1.9781611973402.11. short: H. Edelsbrunner, S. Parsa, in:, Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, SIAM, 2014, pp. 152–160. conference: end_date: 2014-01-07 location: Portland, USA name: 'SODA: Symposium on Discrete Algorithms' start_date: 2014-01-05 date_created: 2018-12-11T11:56:09Z date_published: 2014-01-01T00:00:00Z date_updated: 2021-01-12T06:55:48Z day: '01' department: - _id: HeEd doi: 10.1137/1.9781611973402.11 language: - iso: eng month: '01' oa_version: None page: 152 - 160 publication: Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms publication_status: published publisher: SIAM publist_id: '4805' quality_controlled: '1' scopus_import: 1 status: public title: On the computational complexity of betti numbers reductions from matrix rank type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 year: '2014' ... --- _id: '2185' abstract: - lang: eng text: 'We revisit the classical problem of converting an imperfect source of randomness into a usable cryptographic key. Assume that we have some cryptographic application P that expects a uniformly random m-bit key R and ensures that the best attack (in some complexity class) against P(R) has success probability at most δ. Our goal is to design a key-derivation function (KDF) h that converts any random source X of min-entropy k into a sufficiently "good" key h(X), guaranteeing that P(h(X)) has comparable security δ′ which is ''close'' to δ. Seeded randomness extractors provide a generic way to solve this problem for all applications P, with resulting security δ′ = O(δ), provided that we start with entropy k ≥ m + 2 log (1/δ) - O(1). By a result of Radhakrishnan and Ta-Shma, this bound on k (called the "RT-bound") is also known to be tight in general. Unfortunately, in many situations the loss of 2 log (1/δ) bits of entropy is unacceptable. This motivates the study KDFs with less entropy waste by placing some restrictions on the source X or the application P. In this work we obtain the following new positive and negative results in this regard: - Efficient samplability of the source X does not help beat the RT-bound for general applications. This resolves the SRT (samplable RT) conjecture of Dachman-Soled et al. [DGKM12] in the affirmative, and also shows that the existence of computationally-secure extractors beating the RT-bound implies the existence of one-way functions. - We continue in the line of work initiated by Barak et al. [BDK+11] and construct new information-theoretic KDFs which beat the RT-bound for large but restricted classes of applications. Specifically, we design efficient KDFs that work for all unpredictability applications P (e.g., signatures, MACs, one-way functions, etc.) and can either: (1) extract all of the entropy k = m with a very modest security loss δ′ = O(δ·log (1/δ)), or alternatively, (2) achieve essentially optimal security δ′ = O(δ) with a very modest entropy loss k ≥ m + loglog (1/δ). In comparison, the best prior results from [BDK+11] for this class of applications would only guarantee δ′ = O(√δ) when k = m, and would need k ≥ m + log (1/δ) to get δ′ = O(δ). - The weaker bounds of [BDK+11] hold for a larger class of so-called "square- friendly" applications (which includes all unpredictability, but also some important indistinguishability, applications). Unfortunately, we show that these weaker bounds are tight for the larger class of applications. - We abstract out a clean, information-theoretic notion of (k,δ,δ′)- unpredictability extractors, which guarantee "induced" security δ′ for any δ-secure unpredictability application P, and characterize the parameters achievable for such unpredictability extractors. Of independent interest, we also relate this notion to the previously-known notion of (min-entropy) condensers, and improve the state-of-the-art parameters for such condensers.' alternative_title: - LNCS author: - first_name: Yevgeniy full_name: Dodis, Yevgeniy last_name: Dodis - first_name: Krzysztof Z full_name: Pietrzak, Krzysztof Z id: 3E04A7AA-F248-11E8-B48F-1D18A9856A87 last_name: Pietrzak orcid: 0000-0002-9139-1654 - first_name: Daniel full_name: Wichs, Daniel last_name: Wichs citation: ama: 'Dodis Y, Pietrzak KZ, Wichs D. Key derivation without entropy waste. In: Nguyen P, Oswald E, eds. Vol 8441. Springer; 2014:93-110. doi:10.1007/978-3-642-55220-5_6' apa: 'Dodis, Y., Pietrzak, K. Z., & Wichs, D. (2014). Key derivation without entropy waste. In P. Nguyen & E. Oswald (Eds.) (Vol. 8441, pp. 93–110). Presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Copenhagen, Denmark: Springer. https://doi.org/10.1007/978-3-642-55220-5_6' chicago: Dodis, Yevgeniy, Krzysztof Z Pietrzak, and Daniel Wichs. “Key Derivation without Entropy Waste.” edited by Phong Nguyen and Elisabeth Oswald, 8441:93–110. Springer, 2014. https://doi.org/10.1007/978-3-642-55220-5_6. ieee: 'Y. Dodis, K. Z. Pietrzak, and D. Wichs, “Key derivation without entropy waste,” presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Copenhagen, Denmark, 2014, vol. 8441, pp. 93–110.' ista: 'Dodis Y, Pietrzak KZ, Wichs D. 2014. Key derivation without entropy waste. EUROCRYPT: Theory and Applications of Cryptographic Techniques, LNCS, vol. 8441, 93–110.' mla: Dodis, Yevgeniy, et al. Key Derivation without Entropy Waste. Edited by Phong Nguyen and Elisabeth Oswald, vol. 8441, Springer, 2014, pp. 93–110, doi:10.1007/978-3-642-55220-5_6. short: Y. Dodis, K.Z. Pietrzak, D. Wichs, in:, P. Nguyen, E. Oswald (Eds.), Springer, 2014, pp. 93–110. conference: end_date: 2014-05-15 location: Copenhagen, Denmark name: 'EUROCRYPT: Theory and Applications of Cryptographic Techniques' start_date: 2014-05-11 date_created: 2018-12-11T11:56:12Z date_published: 2014-04-01T00:00:00Z date_updated: 2021-01-12T06:55:51Z day: '01' ddc: - '000' - '004' department: - _id: KrPi doi: 10.1007/978-3-642-55220-5_6 editor: - first_name: Phong full_name: Nguyen, Phong last_name: Nguyen - first_name: Elisabeth full_name: Oswald, Elisabeth last_name: Oswald file: - access_level: open_access checksum: da1aa01221086083b23c92e547b48ff4 content_type: application/pdf creator: system date_created: 2018-12-12T10:08:43Z date_updated: 2020-07-14T12:45:31Z file_id: '4705' file_name: IST-2016-680-v1+1_708.pdf file_size: 505389 relation: main_file file_date_updated: 2020-07-14T12:45:31Z has_accepted_license: '1' intvolume: ' 8441' language: - iso: eng month: '04' oa: 1 oa_version: Submitted Version page: 93 - 110 publication_status: published publisher: Springer publist_id: '4795' pubrep_id: '680' quality_controlled: '1' scopus_import: 1 status: public title: Key derivation without entropy waste type: conference user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 8441 year: '2014' ... --- _id: '2180' abstract: - lang: eng text: Weighted majority votes allow one to combine the output of several classifiers or voters. MinCq is a recent algorithm for optimizing the weight of each voter based on the minimization of a theoretical bound over the risk of the vote with elegant PAC-Bayesian generalization guarantees. However, while it has demonstrated good performance when combining weak classifiers, MinCq cannot make use of the useful a priori knowledge that one may have when using a mixture of weak and strong voters. In this paper, we propose P-MinCq, an extension of MinCq that can incorporate such knowledge in the form of a constraint over the distribution of the weights, along with general proofs of convergence that stand in the sample compression setting for data-dependent voters. The approach is applied to a vote of k-NN classifiers with a specific modeling of the voters' performance. P-MinCq significantly outperforms the classic k-NN classifier, a symmetric NN and MinCq using the same voters. We show that it is also competitive with LMNN, a popular metric learning algorithm, and that combining both approaches further reduces the error. acknowledgement: 'This work was funded by the French project SoLSTiCe ANR-13-BS02-01 of the ANR. ' author: - first_name: Aurélien full_name: Bellet, Aurélien last_name: Bellet - first_name: Amaury full_name: Habrard, Amaury last_name: Habrard - first_name: Emilie full_name: Morvant, Emilie id: 4BAC2A72-F248-11E8-B48F-1D18A9856A87 last_name: Morvant orcid: 0000-0002-8301-7240 - first_name: Marc full_name: Sebban, Marc last_name: Sebban citation: ama: Bellet A, Habrard A, Morvant E, Sebban M. Learning a priori constrained weighted majority votes. Machine Learning. 2014;97(1-2):129-154. doi:10.1007/s10994-014-5462-z apa: Bellet, A., Habrard, A., Morvant, E., & Sebban, M. (2014). Learning a priori constrained weighted majority votes. Machine Learning. Springer. https://doi.org/10.1007/s10994-014-5462-z chicago: Bellet, Aurélien, Amaury Habrard, Emilie Morvant, and Marc Sebban. “Learning a Priori Constrained Weighted Majority Votes.” Machine Learning. Springer, 2014. https://doi.org/10.1007/s10994-014-5462-z. ieee: A. Bellet, A. Habrard, E. Morvant, and M. Sebban, “Learning a priori constrained weighted majority votes,” Machine Learning, vol. 97, no. 1–2. Springer, pp. 129–154, 2014. ista: Bellet A, Habrard A, Morvant E, Sebban M. 2014. Learning a priori constrained weighted majority votes. Machine Learning. 97(1–2), 129–154. mla: Bellet, Aurélien, et al. “Learning a Priori Constrained Weighted Majority Votes.” Machine Learning, vol. 97, no. 1–2, Springer, 2014, pp. 129–54, doi:10.1007/s10994-014-5462-z. short: A. Bellet, A. Habrard, E. Morvant, M. Sebban, Machine Learning 97 (2014) 129–154. date_created: 2018-12-11T11:56:10Z date_published: 2014-10-01T00:00:00Z date_updated: 2021-01-12T06:55:49Z day: '01' department: - _id: ChLa doi: 10.1007/s10994-014-5462-z ec_funded: 1 intvolume: ' 97' issue: 1-2 language: - iso: eng main_file_link: - open_access: '1' url: https://hal.archives-ouvertes.fr/hal-01009578/document month: '10' oa: 1 oa_version: Submitted Version page: 129 - 154 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: Machine Learning publication_status: published publisher: Springer publist_id: '4802' quality_controlled: '1' scopus_import: 1 status: public title: Learning a priori constrained weighted majority votes type: journal_article user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87 volume: 97 year: '2014' ...