metric learning

Similarity Metric Learning for Face Recognition ICCV 2013 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013 The Power of Asymmetry in Binary Hashing NeurIPS 2013 Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias ICCV 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 A Geometric take on Metric Learning NeurIPS 2012 A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Distance Metric Learning with Eigenvalue Optimization JMLR 2012 Hamming Distance Metric Learning NeurIPS 2012 Isotropic Hashing NeurIPS 2012 Metric and Kernel Learning Using a Linear Transformation JMLR 2012 Non-linear Metric Learning NeurIPS 2012 Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012 Reducing statistical time-series problems to binary classification NeurIPS 2012 Supervised Learning with Similarity Functions NeurIPS 2012 A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011 Convergent Bounds on the Euclidean Distance NeurIPS 2011 Learning a Tree of Metrics with Disjoint Visual Features NeurIPS 2011 Learning to Search Efficiently in High Dimensions NeurIPS 2011 Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NeurIPS 2011 Metric Learning with Multiple Kernels NeurIPS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011