Metric Learning

The Distribution Family of Similarity Distances NeurIPS 2007 A Kernel Method for the Two-Sample-Problem NeurIPS 2006 Approximate Correspondences in High Dimensions NeurIPS 2006 Balanced Graph Matching NeurIPS 2006 Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NeurIPS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NeurIPS 2006 Image Retrieval and Classification Using Local Distance Functions NeurIPS 2006 Inducing Metric Violations in Human Similarity Judgements NeurIPS 2006 Kernels on Structured Objects Through Nested Histograms NeurIPS 2006 Large Margin Component Analysis NeurIPS 2006 Large Margin Hidden Markov Models for Automatic Speech Recognition NeurIPS 2006 Outdoor Path Labeling Using Polynomial Mahalanobis Distance RSS 2006 Similarity by Composition NeurIPS 2006 Efficient Margin Maximizing with Boosting JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005 Learning the Kernel Function via Regularization JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 Semigroup Kernels on Measures JMLR 2005 Distance-Based Classification with Lipschitz Functions JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004