Metric Learning

Multi-View Learning of Word Embeddings via CCA NeurIPS 2011 On Learning Discrete Graphical Models using Greedy Methods NeurIPS 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Portmanteau Vocabularies for Multi-Cue Image Representation NeurIPS 2011 Randomized Algorithms for Comparison-based Search NeurIPS 2011 Similarity-based Learning via Data Driven Embeddings NeurIPS 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NeurIPS 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Getting lost in space: Large sample analysis of the resistance distance NeurIPS 2010 Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NeurIPS 2010 Hilbert Space Embeddings and Metrics on Probability Measures JMLR 2010 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Large Scale Online Learning of Image Similarity Through Ranking JMLR 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 Learning Translation Invariant Kernels for Classification JMLR 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Pose-Sensitive Embedding by Nonlinear NCA Regression NeurIPS 2010