Metric Learning

REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010 Anomaly Detection with Score functions based on Nearest Neighbor Graphs NeurIPS 2009 An Online Algorithm for Large Scale Image Similarity Learning NeurIPS 2009 Canonical Time Warping for Alignment of Human Behavior NeurIPS 2009 Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Efficient Bregman Range Search NeurIPS 2009 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Fast subtree kernels on graphs NeurIPS 2009 Hash Kernels for Structured Data JMLR 2009 Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NeurIPS 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Locality-sensitive binary codes from shift-invariant kernels NeurIPS 2009 Maximin affinity learning of image segmentation NeurIPS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Probabilistic Relational PCA NeurIPS 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009 Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Similarity-based Classification: Concepts and Algorithms JMLR 2009