metric learning

Similarity-based Learning via Data Driven Embeddings NeurIPS 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata NeurIPS 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010 An Online Algorithm for Large Scale Image Similarity Learning NeurIPS 2009 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Similarity-based Classification: Concepts and Algorithms JMLR 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Distances between Data Sets Based on Summary Statistics JMLR 2007 Approximate Correspondences in High Dimensions NeurIPS 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Image Retrieval and Classification Using Local Distance Functions NeurIPS 2006 Large Margin Component Analysis NeurIPS 2006 Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005