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Metric Learning

2800 directly classified papers

Papers per year

Papers

Angular Quantization-based Binary Codes for Fast Similarity Search NIPS 2012
Distance Metric Learning with Eigenvalue Optimization JMLR 2012
Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012
A Ranking-based KNN Approach for Multi-Label Classification ACML 2012
A Kernel Two-Sample Test JMLR 2012
A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Isotropic Hashing NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Hamming Distance Metric Learning NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012
Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Parametric Local Metric Learning for Nearest Neighbor Classification NIPS 2012
Non-linear Metric Learning NIPS 2012
Metric and Kernel Learning Using a Linear Transformation JMLR 2012
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NIPS 2012
Maximum Margin Multi-Instance Learning NIPS 2011
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
Learning Multi-modal Similarity JMLR 2011
Exploiting spatial overlap to efficiently compute appearance distances between image windows NIPS 2011
Multi-View Learning of Word Embeddings via CCA NIPS 2011
Similarity-based Learning via Data Driven Embeddings NIPS 2011