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Metric Learning

2800 directly classified papers

Papers per year

Papers

Supervised Bipartite Graph Inference NIPS 2008
Online Metric Learning and Fast Similarity Search NIPS 2008
Relative Margin Machines NIPS 2008
Kernels on Attributed Pointsets with Applications NIPS 2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007
Colored Maximum Variance Unfolding NIPS 2007
The Distribution Family of Similarity Distances NIPS 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
Distances between Data Sets Based on Summary Statistics JMLR 2007
Active Preference Learning with Discrete Choice Data NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Classification in Networked Data: A Toolkit and a Univariate Case Study JMLR 2007
A learning framework for nearest neighbor search NIPS 2007
Inducing Metric Violations in Human Similarity Judgements NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Large Margin Component Analysis NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Similarity by Composition NIPS 2006
Doubly Stochastic Normalization for Spectral Clustering NIPS 2006
Image Retrieval and Classification Using Local Distance Functions NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Approximate Correspondences in High Dimensions NIPS 2006
Balanced Graph Matching NIPS 2006