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Metric Learning

2,854 papers

Papers per year

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21
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Papers

Sparse and Locally Constant Gaussian Graphical Models NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Learning to Hash with Binary Reconstructive Embeddings NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Maximin affinity learning of image segmentation NIPS 2009
Probabilistic Relational PCA NIPS 2009
Anomaly Detection with Score functions based on Nearest Neighbor Graphs NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Regularized Distance Metric Learning:Theory and Algorithm NIPS 2009
Speaker Comparison with Inner Product Discriminant Functions 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
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
Efficient Bregman Range Search NIPS 2009
Distance Metric Learning for Large Margin Nearest Neighbor Classification JMLR 2009
Similarity-based Classification: Concepts and Algorithms JMLR 2009
Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009
The P-Norm Push: A Simple Convex Ranking Algorithm that Concentrates at the Top of the List JMLR 2009
Hash Kernels for Structured Data JMLR 2009
Influence of graph construction on graph-based clustering measures NIPS 2008
Supervised Bipartite Graph Inference NIPS 2008
Relative Margin Machines NIPS 2008
Kernelized Sorting NIPS 2008
Large Margin Taxonomy Embedding for Document Categorization NIPS 2008