Metric Learning

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions ACML 2013 Riemannian Similarity Learning ICML 2013 Robust Feature Matching with Alternate Hough and Inverted Hough Transforms CVPR 2013 Robust Feature Set Matching for Partial Face Recognition ICCV 2013 Robust Structural Metric Learning ICML 2013 Saliency Detection via Graph-Based Manifold Ranking CVPR 2013 Scalable kernels for graphs with continuous attributes NeurIPS 2013 Scale Invariant Conditional Dependence Measures ICML 2013 Sign Cauchy Projections and Chi-Square Kernel NeurIPS 2013 Similarity Component Analysis NeurIPS 2013 Similarity Metric Learning for Face Recognition ICCV 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013 The Generalized Laplacian Distance and Its Applications for Visual Matching CVPR 2013 The Power of Asymmetry in Binary Hashing NeurIPS 2013 The Randomized Dependence Coefficient NeurIPS 2013 To Aggregate or Not to aggregate: Selective Match Kernels for Image Search ICCV 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 Kernel Two-Sample Test JMLR 2012 Algorithms for Learning Kernels Based on Centered Alignment JMLR 2012 A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 Angular Quantization-based Binary Codes for Fast Similarity Search NeurIPS 2012