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73 Publications

2017 | Conference Paper | IST-REx-ID: 750
Pielorz J, Prandtstetter M, Straub M, Lampert C. 2017. Optimal geospatial volunteer allocation needs realistic distances. 2017 IEEE International Conference on Big Data. Big Data 3760–3763.
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2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908. 695–711.
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2016 | Conference Paper | IST-REx-ID: 1098   OA
Pentina A, Urner R. 2016. Lifelong learning with weighted majority votes. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 29. 3619–3627.
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2016 | Conference Paper | IST-REx-ID: 1214
Martius GS, Hostettler R, Knoll A, Der R. 2016. Compliant control for soft robots: Emergent behavior of a tendon driven anthropomorphic arm. IEEE RSJ International Conference on Intelligent Robots and Systems IROS vol. 2016–November.
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2016 | Conference Paper | IST-REx-ID: 1707
Pielorz J, Lampert C. 2016. Optimal geospatial allocation of volunteers for crisis management. ICT-DM: Information and Communication Technologies for Disaster Management
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2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September. 92.1-92.12.
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2016 | Thesis | IST-REx-ID: 1126   OA
Pentina A. 2016. Theoretical foundations of multi-task lifelong learning, IST Austria, 127p.
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2015 | Journal Article | IST-REx-ID: 1655   OA
Martius GS, Olbrich E. 2015. Quantifying emergent behavior of autonomous robots. Entropy. 17(10), 7266–7297.
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2015 | Conference Paper | IST-REx-ID: 1706   OA
Pentina A, Ben David S. 2015. Multi-task and lifelong learning of kernels. ALT: Algorithmic Learning Theory, LNCS, vol. 9355. 194–208.
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2015 | Conference Paper | IST-REx-ID: 1857   OA
Pentina A, Sharmanska V, Lampert C. 2015. Curriculum learning of multiple tasks. CVPR: Computer Vision and Pattern Recognition 5492–5500.
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2015 | Conference Paper | IST-REx-ID: 1858   OA
Lampert C. 2015. Predicting the future behavior of a time-varying probability distribution. CVPR: Computer Vision and Pattern Recognition 942–950.
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2015 | Conference Paper | IST-REx-ID: 1860   OA
Royer A, Lampert C. 2015. Classifier adaptation at prediction time. CVPR: Computer Vision and Pattern Recognition 1401–1409.
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2015 | Journal Article | IST-REx-ID: 1570   OA
Der R, Martius GS. 2015. Novel plasticity rule can explain the development of sensorimotor intelligence. PNAS. 112(45), E6224–E6232.
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2015 | Conference Paper | IST-REx-ID: 1859   OA
Shah N, Kolmogorov V, Lampert C. 2015. A multi-plane block-coordinate Frank-Wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR: Computer Vision and Pattern Recognition 2737–2745.
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2015 | Conference Paper | IST-REx-ID: 1425   OA
Pentina A, Lampert C. 2015. Lifelong learning with non-i.i.d. tasks. NIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 2015. 1540–1548.
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2015 | Thesis | IST-REx-ID: 1401
Sharmanska V. 2015. Learning with attributes for object recognition: Parametric and non-parametrics views, IST Austria, 144p.
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2015 | Journal Article | IST-REx-ID: 1533
Xia W, Domokos C, Xiong J, Cheong L, Yan S. 2015. Segmentation over detection via optimal sparse reconstructions. IEEE Transactions on Circuits and Systems for Video Technology. 25(8), 1295–1308.
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2014 | Conference Paper | IST-REx-ID: 2171   OA
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.
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2014 | Conference Paper | IST-REx-ID: 2033   OA
Hernandez Lobato D, Sharmanska V, Kersting K, Lampert C, Quadrianto N. 2014. Mind the nuisance: Gaussian process classification using privileged noise. Advances in Neural Information Processing Systems. NIPS: Neural Information Processing Systems vol. 1. 837–845.
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2014 | Conference Paper | IST-REx-ID: 2057   OA
Morvant E, Habrard A, Ayache S. 2014. Majority vote of diverse classifiers for late fusion. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). IAPR: International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, LNCS, vol. 8621. 153–162.
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