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Daphna Weinshall - Publications

Affiliations: 
Hebrew University, Jerusalem, Jerusalem, Israel 
Area:
Computer vision
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Zweig A, Weinshall D. Hierarchical regularization cascade for joint learning 30th International Conference On Machine Learning, Icml 2013. 1074-1082.  0.393
2012 Shalit U, Weinshall D, Chechik G. Online learning in the embedded manifold of low-rank matrices Journal of Machine Learning Research. 13: 429-458.  0.418
2011 Sofer I, Weinshall D, Serre T. Analysis of similarity matrices and its application to the study of semantic and visual information processing in the inferior temporal cortex Journal of Vision. 11: 872-872. DOI: 10.1167/11.11.872  0.457
2010 Hammer R, Brechmann A, Ohl F, Weinshall D, Hochstein S. Differential category learning processes: The neural basis of comparison-based learning and induction. Neuroimage. 52: 699-709. PMID 20363336 DOI: 10.1016/J.Neuroimage.2010.03.080  0.707
2010 Hammer R, Brechmann A, Ohl F, Diesendruck G, Weinshall D, Hochstein S. Differential learning processes for categorization Journal of Vision. 8: 839-839. DOI: 10.1167/8.6.839  0.672
2010 Kliper R, Serre T, Weinshall D, Nelken I. The story of a single cell: Peeking into the semantics of spikes 2010 2nd International Workshop On Cognitive Information Processing, Cip2010. 281-286. DOI: 10.1109/CIP.2010.5604119  0.427
2010 Shalit U, Weinshall D, Chechik G. Online learning in the manifold of low-rank matrices Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.42
2009 Hammer R, Diesendruck G, Weinshall D, Hochstein S. The development of category learning strategies: what makes the difference? Cognition. 112: 105-19. PMID 19426967 DOI: 10.1016/J.Cognition.2009.03.012  0.684
2009 Hammer R, Hertz T, Hochstein S, Weinshall D. Category learning from equivalence constraints. Cognitive Processing. 10: 211-32. PMID 19050949 DOI: 10.1007/S10339-008-0243-X  0.658
2008 Hammer R, Bar-Hillel A, Hertz T, Weinshall D, Hochstein S. Comparison processes in category learning: from theory to behavior. Brain Research. 1225: 102-18. PMID 18614160 DOI: 10.1016/J.Brainres.2008.04.079  0.689
2008 Bar-Hillel A, Weinshall D. Efficient learning of relational object class models International Journal of Computer Vision. 77: 175-198. DOI: 10.1007/s11263-007-0091-7  0.396
2007 Hillel AB, Weinshall D. Learning distance function by coding similarity Acm International Conference Proceeding Series. 227: 65-72. DOI: 10.1145/1273496.1273505  0.346
2007 Hammer R, Hertz T, Hochstein S, Weinshall D. Classification with positive and negative equivalence constraints: Theory, computation and human experiments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4729: 264-276. DOI: 10.1007/978-3-540-75555-5_25  0.55
2007 Weinshall D, Zamir L. Image classification from small sample, with distance learning and feature selection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4842: 106-115.  0.33
2005 Bar-Hillel A, Hertz T, Shental N, Weinshall D. Learning a Mahalanobis metric from equivalence constraints Journal of Machine Learning Research. 6.  0.441
2004 Hertz T, Bar-Hillel A, Weinshall D. Learning distance functions for image retrieval Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II570-II577.  0.335
2003 Bar-Hillel A, Hertz T, Shental N, Weinshall D. Learning Distance Functions using Equivalence Relations Proceedings, Twentieth International Conference On Machine Learning. 1: 11-18.  0.396
2003 Bar-Hillel A, Weinshall D. Learning with equivalence constraints and the relation to multiclass learning Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 640-654.  0.445
2003 Hertz T, Shental N, Bar-Hillel A, Weinshall D. Enhancing image and video retrieval: Learning via equivalence constraints Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: II/668-II/674.  0.333
2002 Shental N, Hertz T, Weinshall D, Pavel M. Adjustment learning and relevant component analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2353: 776-790.  0.403
2000 Liu Z, Weinshall D. Mechanisms of generalization in perceptual learning. Vision Research. 40: 97-109. PMID 10768045 DOI: 10.1016/S0042-6989(99)00140-6  0.433
1996 Weinshall D, Werman M, Shashua A. Duality of multi-point and multi-frame geometry: Fundamental shape matrices and tensors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1065: 217-227. DOI: 10.1007/3-540-61123-1_141  0.518
1991 Edelman S, Weinshall D. A self-organizing multiple-view representation of 3D objects. Biological Cybernetics. 64: 209-19. PMID 2004131 DOI: 10.1007/BF00201981  0.471
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