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All publications by Daphna Weinshall
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Modeling Musical Influence with Topic Models
Uri Shalit, Daphna Weinshall and Gal Chechik
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Regularization Cascade for Joint Learning
Alon Zweig and Daphna Weinshall
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


LDA Topic Model with Soft Assignment of Descriptors to Words
Daphna Weinshall, Gal Levi and Dmitri Hanukaev
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Learning in The Manifold of Low-Rank Matrices
Uri Shalit, Daphna Weinshall and Gal Chechik
Advances in Neural Information Processing Systems 23, 2010


Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Jimison, Frank Ohl and Misha Pavel
Advances in Neural Information Processing Systems 21, 2008


Learning distance function by coding similarity
Aharon Bar-hillel and Daphna Weinshall
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Learning a kernel function for classification with small training samples
Tomer Hertz, Aharon Bar-hillel and Daphna Weinshall
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Subordinate class recognition using relational object models
Aharon B. Hillel and Daphna Weinshall
Advances in Neural Information Processing Systems 19, 2006


Learning a Mahalanobis Metric from Equivalence Constraints
Aharon Bar-hillel, Tomer Hertz, Noam Shental and Daphna Weinshall
Journal of Machine Learning Research, 2005


Boosting margin based distance functions for clustering
Tomer Hertz, Aharon Bar-hillel and Daphna Weinshall
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Learning Distance Functions using Equivalence Relations
Aharon Bar-hillel, Tomer Hertz, Noam Shental and Daphna Weinshall
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Noam Shental, Aharon Bar-hillel, Tomer Hertz and Daphna Weinshall
Advances in Neural Information Processing Systems 16, 2003