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Erbar M, Maas J. Gradient flow structures for discrete porous medium equations. Discrete and Continuous Dynamical Systems- Series A. 2014;34(4):1355-1374. doi:10.3934/dcds.2014.34.1355Â  
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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
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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
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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
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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
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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
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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
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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
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Khamis S, Lampert C. CoConut: Co-classification with output space regularization. In: Proceedings of the British Machine Vision Conference 2014. BMVA Press; 2014.
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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
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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
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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
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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
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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
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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
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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
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cadek M, Krcál M, Matousek J, Sergeraert F, Vokínek L, Wagner U. Computing all maps into a sphere. Journal of the ACM. 2014;61(3). doi:10.1145/2597629
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