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Metric Learning

2,854 papers

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Papers

Large Margin Multi-Task Metric Learning NIPS 2010
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010
Worst-Case Linear Discriminant Analysis NIPS 2010
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
b-Bit Minwise Hashing for Estimating Three-Way Similarities NIPS 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NIPS 2010
Universal Kernels on Non-Standard Input Spaces NIPS 2010
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NIPS 2010
Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NIPS 2010
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NIPS 2010
Pose-Sensitive Embedding by Nonlinear NCA Regression NIPS 2010
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010
Learning Translation Invariant Kernels for Classification JMLR 2010
Getting lost in space: Large sample analysis of the resistance distance NIPS 2010
Sparse Metric Learning via Smooth Optimization NIPS 2009
Hash Kernels for Structured Data JMLR 2009
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NIPS 2009
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Maximin affinity learning of image segmentation NIPS 2009