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Metric Learning

2,854 papers

Papers per year

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21
102
261
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Papers

Online Metric Learning and Fast Similarity Search NIPS 2008
Multi-label Multiple Kernel Learning NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Linear-Time Computation of Similarity Measures for Sequential Data JMLR 2008
Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008
A learning framework for nearest neighbor search NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Kernels on Attributed Pointsets with Applications NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
The Distribution Family of Similarity Distances NIPS 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
Distances between Data Sets Based on Summary Statistics JMLR 2007
Classification in Networked Data: A Toolkit and a Univariate Case Study JMLR 2007
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007
Euclidean Embedding of Co-occurrence Data JMLR 2007
Approximate Correspondences in High Dimensions NIPS 2006
Doubly Stochastic Normalization for Spectral Clustering NIPS 2006
Inducing Metric Violations in Human Similarity Judgements NIPS 2006
Image Retrieval and Classification Using Local Distance Functions NIPS 2006
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NIPS 2006
Gaussian and Wishart Hyperkernels NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Similarity by Composition NIPS 2006