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4964 Publications

2014 | Conference Paper | IST-REx-ID: 2171 | OA
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.
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2014 | Conference Paper | IST-REx-ID: 2173 | OA
S. Khamis and C. Lampert, “CoConut: Co-classification with output space regularization,” in Proceedings of the British Machine Vision Conference 2014, Nottingham, UK, 2014.
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2014 | Conference Paper | IST-REx-ID: 2172
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.
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2014 | Journal Article | IST-REx-ID: 2174 | OA
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.
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2014 | Journal Article | IST-REx-ID: 2179 | OA
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.
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2014 | Journal Article | IST-REx-ID: 2176
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.
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2014 | Journal Article | IST-REx-ID: 2178 | OA
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.
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2014 | Conference Paper | IST-REx-ID: 2177
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.
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2014 | Conference Paper | IST-REx-ID: 2185 | OA
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.
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2014 | Journal Article | IST-REx-ID: 2180 | OA
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.
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