Metric Learning

Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Speaker Comparison with Inner Product Discriminant Functions NeurIPS 2009 The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List JMLR 2009 Extended Grassmann Kernels for Subspace-Based Learning NeurIPS 2008 Influence of graph construction on graph-based clustering measures NeurIPS 2008 Kernelized Sorting NeurIPS 2008 Large Margin Taxonomy Embedding for Document Categorization NeurIPS 2008 Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008 Linear-Time Computation of Similarity Measures for Sequential Data JMLR 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Relative Margin Machines NeurIPS 2008 Supervised Bipartite Graph Inference NeurIPS 2008 Active Preference Learning with Discrete Choice Data NeurIPS 2007 A Kernel Statistical Test of Independence NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007 Classification in Networked Data: A Toolkit and a Univariate Case Study JMLR 2007 Colored Maximum Variance Unfolding NeurIPS 2007 Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007 Discriminative Keyword Selection Using Support Vector Machines NeurIPS 2007 Distances between Data Sets Based on Summary Statistics JMLR 2007 Euclidean Embedding of Co-occurrence Data JMLR 2007 How SVMs can estimate quantiles and the median NeurIPS 2007 Kernels on Attributed Pointsets with Applications NeurIPS 2007