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Metric Learning

2800 directly classified papers

Papers per year

Papers

Efficient Bregman Range Search NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Regularized Distance Metric Learning:Theory and Algorithm NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
Efficient and Accurate Lp-Norm Multiple Kernel Learning NIPS 2009
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NIPS 2009
Speaker Comparison with Inner Product Discriminant Functions NIPS 2009
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
Probabilistic Relational PCA NIPS 2009
Similarity-based Classification: Concepts and Algorithms JMLR 2009
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009
Hash Kernels for Structured Data JMLR 2009
Anomaly Detection with Score functions based on Nearest Neighbor Graphs NIPS 2009
Canonical Time Warping for Alignment of Human Behavior NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NIPS 2009
Learning to Hash with Binary Reconstructive Embeddings NIPS 2009
Influence of graph construction on graph-based clustering measures NIPS 2008
Kernelized Sorting NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Linear-Time Computation of Similarity Measures for Sequential Data JMLR 2008
Large Margin Taxonomy Embedding for Document Categorization NIPS 2008
Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008
Multi-label Multiple Kernel Learning NIPS 2008