@inproceedings{3600,
abstract = {Scalability is one of the most important issues for optimization algorithms used in wireless sensor networks (WSNs) since there are often many parameters to be optimized at the same time. In this case it is very hard to ensure that an optimization algorithm can be smoothly scaled up from a low-dimensional optimization problem to the one with a high dimensionality. This paper addresses the scalability issue of a novel optimization algorithm inspired by the Shifting Balance Theory (SBT) of evolution in population genetics. Toward this end, a cluster-based WSN is employed in this paper as a benchmark to perform a comparative study. The total energy consumption is minimized under the required quality of service by jointly optimizing the transmission power and rate for each sensor node. The results obtained by the SBT-based algorithm are compared with the Metropolis algorithm (MA) and currently popular particle swarm optimizer (PSO) to assess the scaling performance of the three algorithms against the same WSN optimization problem.},
author = {Yang, Erfu and Nicholas Barton and Arslan, Tughrul and Erdogan, Ahmet T},
pages = {249 -- 260},
publisher = {Springer},
title = {{ Scalability of a novel shifting balance theory-based optimization algorithm: A comparative study on a cluster-based wireless sensor network}},
doi = {10.1007/978-3-540-85857-7_22},
volume = {5216},
year = {2008},
}
@article{3605,
abstract = {Many animals and plants show a correlation between the traits of the individuals in the mating pair, implying assortative mating. Given the ubiquity of assortative mating in nature, why and how it has evolved remain open questions. Here we attempt to answer these questions in those cases where the trait under assortment is the same in males and females. We consider the most favorable scenario for assortment to evolve, where the same trait is under assortment and viability selection. We find conditions for assortment to evolve using a multilocus formalism in a haploid population. Our results show how epistasis in fitness between the loci that control the focal trait is crucial for assortment to evolve. We then assume specific forms of assortment in haploids and diploids and study the limiting cases of selective and nonselective mating. We find that selection for increased assortment is weak and that where increased assortment is costly, it does not invade.},
author = {De Cara, Maria A and Nicholas Barton and Kirkpatrick, Mark},
journal = {American Naturalist},
number = {5},
pages = {580 -- 596},
publisher = {University of Chicago Press},
title = {{A model for the evolution of assortative mating}},
doi = {10.1086/587062},
volume = {171},
year = {2008},
}
@article{3606,
abstract = {Explicit formulae are given for the effects of a barrier to gene flow on random fluctuations in allele frequency; these formulae can also be seen as generating functions for the distribution of coalescence times. The formulae are derived using a continuous diffusion approximation, which is accurate over all but very small spatial scales. The continuous approximation is confirmed by comparison with the exact solution to the stepping stone model. In both one and two spatial dimensions, the variance of fluctuations in allele frequencies increases near the barrier; when the barrier is very strong, the variance doubles. However, the effect on fluctuations close to the barrier is much greater when the population is spread over two spatial dimensions than when it occupies a linear, one-dimensional habitat: barriers of strength comparable with the dispersal range (B≈σ) can have an appreciable effect in two dimensions, whereas only barriers with strength comparable with the characteristic scale (B\! \approx\! L \equals \sigma \sol \sqrt {2 \mu}\hskip2) are significant in one dimension (μ is the rate of mutation or long-range dispersal). Thus, in a two-dimensional population, barriers to gene flow can be detected through their effect on the spatial pattern of genetic marker alleles.},
author = {Nicholas Barton},
journal = {Genetical Research},
number = {1},
pages = {139 -- 149},
publisher = {Cambridge University Press},
title = {{The effect of a barrier to gene flow on patterns of geographic variation}},
doi = {10.1017/S0016672307009081},
volume = {90},
year = {2008},
}
@inproceedings{3694,
abstract = {Distributed Denial of Service (DDoS) attacks are today the most destabilizing factor in the global internet and there is a strong need for sophisticated solutions. We introduce a formal statistical framework and derive a Bayes optimal packet classifier from it. Our proposed practical algorithm "Adaptive History-Based IP Filtering" (AHIF) mitigates DDoS attacks near the victim and outperforms existing methods by at least 32% in terms of collateral damage. Furthermore, it adjusts to the strength of an ongoing attack and ensures availability of the attacked server. In contrast to other adaptive solutions, firewall rulesets used to resist an attack can be precalculated before an attack takes place. This ensures an immediate response in a DDoS emergency. For evaluation, simulated DDoS attacks and two real-world user traffic datasets are used.},
author = {Goldstein,Markus and Christoph Lampert and Reif,Matthias and Stahl,Armin and Breuel,Thomas M},
pages = {174 -- 179},
publisher = {IEEE},
title = {{Bayes optimal DDoS mitigation by adaptive history-based IP filtering}},
doi = {10.1109/ICN.2008.64},
year = {2008},
}
@inproceedings{3698,
abstract = {Kernel canonical correlation analysis (KCCA) is a dimensionality reduction technique for paired data. By finding directions that maximize correlation, KCCA learns representations that are more closely tied to the underlying semantics of the data rather than noise. However, meaningful directions are not only those that have high correlation to another modality, but also those that capture the manifold structure of the data. We propose a method that is simultaneously able to find highly correlated directions that are also located on high variance directions along the data manifold. This is achieved by the use of semi-supervised Laplacian regularization of KCCA. We show experimentally that Laplacian regularized training improves class separation over KCCA with only Tikhonov regularization, while causing no degradation in the correlation between modalities. We propose a model selection criterion based on the Hilbert-Schmidt norm of the semi-supervised Laplacian regularized cross-covariance operator, which we compute in closed form.},
author = {Blaschko,Matthew B and Christoph Lampert and Gretton,Arthur},
number = {Part 1},
pages = {133 -- 145},
publisher = {Springer},
title = {{Semi-supervised Laplacian regularization of kernel canonical correlation analysis}},
doi = {10.1007/978-3-540-87479-9_27},
volume = {5211},
year = {2008},
}
@inproceedings{3700,
abstract = {We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how well the resulting parts can be separated from a context class of disjoint data points. This is in contrast to typical clustering techniques like K-means that are based on a generative model by implicitly or explicitly searching for modes in the distribution of samples. The discriminative criterion in DCP avoids the problems that density based methods have when the a priori assumption of multimodality is violated, when the number of samples becomes small in relation to the dimensionality of the feature space, or if the cluster sizes are strongly unbalanced. We formulate DCP&amp;amp;amp;amp;amp;amp;amp;lsquo;s separation property as a large-margin criterion, and show how the resulting optimization problem can be solved efficiently. Experiments on the MNIST and USPS datasets of handwritten digits and on a subset of the Caltech256 dataset show that, given a suitable context, DCP can achieve good results even in situation where density-based clustering techniques fail.},
author = {Christoph Lampert},
pages = {1 -- 8},
publisher = {IEEE},
title = {{Partitioning of image datasets using discriminative context information}},
doi = {10.1109/CVPR.2008.4587448},
year = {2008},
}
@inproceedings{3705,
abstract = {Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to the localization task. First a binary classifier is trained using a sample of positive and negative examples, and this classifier is subsequently applied to multiple regions within test images. We propose instead to treat object localization in a principled way by posing it as a problem of predicting structured data: we model the problem not as binary classification, but as the prediction of the bounding box of objects located in images. The use of a joint-kernel framework allows us to formulate the training procedure as a generalization of an SVM, which can be solved efficiently. We further improve computational efficiency by using a branch-and-bound strategy for localization during both training and testing. Experimental evaluation on the PASCAL VOC and TU Darmstadt datasets show that the structured training procedure improves pe rformance over binary training as well as the best previously published scores.},
author = {Blaschko,Matthew B and Christoph Lampert},
pages = {2 -- 15},
publisher = {Springer},
title = {{Learning to localize objects with structured output regression}},
doi = {10.1007/978-3-540-88682-2_2},
volume = {5302},
year = {2008},
}
@inproceedings{3706,
abstract = {We present a new technique for structured prediction that works in a hybrid generative/discriminative way, using a one-class support vector machine to model the joint probability of (input, output)-pairs in a joint reproducing kernel Hilbert space. Compared to discriminative techniques, like conditional random fields or structured output SVMs?, the proposed method has the advantage that its training time depends only on the number of training examples, not on the size of the label space. Due to its generative aspect, it is also very tolerant against ambiguous, incomplete or incorrect labels. Experiments on realistic data show that our method works efficiently and robustly in situations that discriminative techniques have problems with or that are computationally infeasible for them.},
author = {Christoph Lampert and Blaschko,Matthew B},
pages = {1 -- 4},
publisher = {Curran Associates, Inc.},
title = {{Joint kernel support estimation for structured prediction}},
year = {2008},
}
@inproceedings{3712,
abstract = {We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common in real world data sources, such as images with text captions. Traditional spectral clustering algorithms either assume that data can be represented by a single similarity measure, or by co-occurrence matrices that are then used in biclustering. In contrast, the proposed method uses separate similarity measures for each data representation, and allows for projection of previously unseen data that are only observed in one representation (e.g. images but not text). We show that this algorithm generalizes traditional spectral clustering algorithms and show consistent empirical improvement over spectral clustering on a variety of datasets of images with associated text.},
author = {Blaschko,Matthew B and Christoph Lampert},
pages = {1 -- 8},
publisher = {IEEE},
title = {{Correlational spectral clustering}},
doi = {10.1109/CVPR.2008.4587353},
year = {2008},
}
@article{9457,
abstract = {Eukaryotic chromatin is separated into functional domains differentiated by posttranslational histone modifications, histone variants, and DNA methylation1–6. Methylation is associated with repression of transcriptional initiation in plants and animals, and is frequently found in transposable elements. Proper methylation patterns are critical for eukaryotic development4,5, and aberrant methylation-induced silencing of tumor suppressor genes is a common feature of human cancer7. In contrast to methylation, the histone variant H2A.Z is preferentially deposited by the Swr1 ATPase complex near 5′ ends of genes where it promotes transcriptional competence8–20. How DNA methylation and H2A.Z influence transcription remains largely unknown. Here we show that in the plant Arabidopsis thaliana, regions of DNA methylation are quantitatively deficient in H2A.Z. Exclusion of H2A.Z is seen at sites of DNA methylation in the bodies of actively transcribed genes and in methylated transposons. Mutation of the MET1 DNA methyltransferase, which causes both losses and gains of DNA methylation4,5, engenders opposite changes in H2A.Z deposition, while mutation of the PIE1 subunit of the Swr1 complex that deposits H2A.Z17 leads to genome-wide hypermethylation. Our findings indicate that DNA methylation can influence chromatin structure and effect gene silencing by excluding H2A.Z, and that H2A.Z protects genes from DNA methylation.},
author = {ZILBERMAN, Daniel and Coleman-Derr, Devin and Ballinger, Tracy and Henikoff, Steven},
issn = {1476-4687},
journal = {Nature},
keywords = {Multidisciplinary},
number = {7218},
pages = {125--129},
publisher = {Springer Nature},
title = {{Histone H2A.Z and DNA methylation are mutually antagonistic chromatin marks}},
doi = {10.1038/nature07324},
volume = {456},
year = {2008},
}
@article{9537,
abstract = {DNA methylation is an ancient process found in all domains of life. Although the enzymes that mediate methylation have remained highly conserved, DNA methylation has been adapted for a variety of uses throughout evolution, including defense against transposable elements and control of gene expression. Defects in DNA methylation are linked to human diseases, including cancer. Methylation has been lost several times in the course of animal and fungal evolution, thus limiting the opportunity for study in common model organisms. In the past decade, plants have emerged as a premier model system for genetic dissection of DNA methylation. A recent combination of plant genetics with powerful genomic approaches has led to a number of exciting discoveries and promises many more.},
author = {ZILBERMAN, Daniel},
issn = {1369-5266},
journal = {Current Opinion in Plant Biology},
number = {5},
pages = {554--559},
publisher = {Elsevier },
title = {{The evolving functions of DNA methylation}},
doi = {10.1016/j.pbi.2008.07.004},
volume = {11},
year = {2008},
}
@article{517,
author = {Barton, Nicholas H},
journal = {Genetical Research},
number = {5-6},
pages = {475 -- 477},
publisher = {Cambridge University Press},
title = {{Identity and coalescence in structured populations: A commentary on 'Inbreeding coefficients and coalescence times' by Montgomery Slatkin}},
doi = {10.1017/S0016672308009683},
volume = {89},
year = {2008},
}
@article{2367,
abstract = {It was recently shown by Hansen that the Wigner-Yanase entropy is, for general states of quantum systems, not subadditive with respect to decomposition into two subsystems, although this property is known to hold for pure states. We investigate the question whether the weaker property of subadditivity for pure states with respect to decomposition into more than two subsystems holds. This property would have interesting applications in quantum chemistry. We show, however, that it does not hold in general, and provide a counterexample.},
author = {Robert Seiringer},
journal = {Letters in Mathematical Physics},
number = {3},
pages = {285 -- 288},
publisher = {Springer},
title = {{On the failure of subadditivity of the Wigner-Yanase entropy}},
doi = {10.1007/s11005-007-0159-x},
volume = {80},
year = {2007},
}
@article{2370,
abstract = {After recalling briefly the connection between spontaneous symmetry breaking and off-diagonal long-range order for models of magnets a general proof of spontaneous breaking of gauge symmetry as a consequence of Bose-Einstein condensation is presented. The proof is based on a rigorous validation of Bogoliubov's c-number substitution for the k = 0 mode operator α0.},
author = {Lieb, Élliott H and Robert Seiringer and Yngvason, Jakob},
journal = {Reports on Mathematical Physics},
number = {3},
pages = {389 -- 399},
publisher = {Elsevier},
title = {{Bose-Einstein condensation and spontaneous symmetry breaking}},
doi = {10.1016/S0034-4877(07)80074-7},
volume = {59},
year = {2007},
}
@article{2371,
abstract = {We give a proof of stability of relativistic matter with magnetic fields all the way up to the critical value of the nuclear charge Zα = 2/π.},
author = {Frank, Rupert L and Lieb, Élliott H and Robert Seiringer},
journal = {Communications in Mathematical Physics},
number = {2},
pages = {479 -- 489},
publisher = {Springer},
title = {{Stability of relativistic matter with magnetic fields for nuclear charges up to the critical value}},
doi = {10.1007/s00220-007-0307-2},
volume = {275},
year = {2007},
}
@article{2372,
abstract = {The increasing interest in the Müller density-matrix-functional theory has led us to a systematic mathematical investigation of its properties. This functional is similar to the Hartree-Fock (HF) functional, but with a modified exchange term in which the square of the density matrix γ(x, x′) is replaced by the square of γ1 2 (x, x′). After an extensive introductory discussion of density-matrix-functional theory we show, among other things, that this functional is convex (unlike the HF functional) and that energy minimizing γ 's have unique densities ρ(r), which is a physically desirable property often absent in HF theory. We show that minimizers exist if N≤Z, and derive various properties of the minimal energy and the corresponding minimizers. We also give a precise statement about the equation for the orbitals of γ, which is more complex than for HF theory. We state some open mathematical questions about the theory together with conjectured solutions.},
author = {Frank, Rupert L and Lieb, Élliott H and Robert Seiringer and Siedentop, Heinz K},
journal = {Physical Review A - Atomic, Molecular, and Optical Physics},
number = {5},
publisher = {American Physical Society},
title = {{Müller's exchange-correlation energy in density-matrix-functional theory}},
doi = {10.1103/PhysRevA.76.052517},
volume = {76},
year = {2007},
}
@article{2373,
abstract = {For the BCS equation with local two-body interaction λV(x), we give a rigorous analysis of the asymptotic behavior of the critical temperature as γ"0. We derive necessary and sufficient conditions onV(x) for the existence of a nontrivial solution for all values of γ>0.},
author = {Frank, Rupert L and Hainzl, Christian and Naboko, Serguei N and Robert Seiringer},
journal = {Journal of Geometric Analysis},
number = {4},
pages = {559 -- 567},
publisher = {Springer},
title = {{The critical temperature for the BCS equation at weak coupling}},
doi = {10.1007/BF02937429},
volume = {17},
year = {2007},
}
@article{2375,
abstract = {We give a Cwikel-Lieb-Rozenblum type bound on the number of bound states of Schrödinger operators with matrix-valued potentials using the functional integral method of Lieb. This significantly improves the constant in this inequality obtained earlier by Hundertmark.},
author = {Frank, Rupert L and Lieb, Élliott H and Robert Seiringer},
journal = {Letters in Mathematical Physics},
number = {2-3},
pages = {107 -- 116},
publisher = {Springer},
title = {{Number of bound states of Schrödinger operators with matrix-valued potentials}},
doi = {10.1007/s11005-007-0211-x},
volume = {82},
year = {2007},
}
@article{2451,
abstract = {Signal molecules known as phytohormones play a decisive role in processing signals coming to plants from the surrounding environment. They include auxin — a simple compound with a large range of effects. Auxin is irregularly deposited in plant tissues, it accumulates in certain cellules and through activation of a signal cascade it causes changes in the development programme of these cellules. This article forms a part of the series prepared in honour of the anniversary of the important plant physiologist — Bohumil Němec.},
author = {Friml, Jirí},
journal = {Živa},
publisher = {CSAV},
title = {{Auxin - Universal development signal in plant life}},
volume = {1},
year = {2007},
}
@article{2462,
author = {Michniewicz, Marta and Brewer, Philip B and Jirí Friml},
journal = {The Arabidopsis Book},
publisher = {The American Society of Plant Biologists},
title = {{Polar auxin transport and asymmetric auxin distribution}},
doi = {10.1199/tab.0108},
volume = {5},
year = {2007},
}