Metric Learning

Near-optimal sample compression for nearest neighbors NeurIPS 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014 One-Shot-Learning Gesture Recognition using HOG-HOF Features JMLR 2014 Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014 Quantized Kernel Learning for Feature Matching NeurIPS 2014 Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition CVPR 2014 Robust 3D Tracking with Descriptor Fields CVPR 2014 Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014 Spectral Bandits for Smooth Graph Functions ICML 2014 Stochastic Neighbor Compression ICML 2014 Two-Stage Metric Learning ICML 2014 Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking CVPR 2014 Uniqueness of Ordinal Embedding COLT 2014 A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems JMLR 2013 A Framework for Shape Analysis via Hilbert Space Embedding ICCV 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 A New Adaptive Segmental Matching Measure for Human Activity Recognition ICCV 2013 A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013 Binary Code Ranking with Weighted Hamming Distance CVPR 2013 Camera Alignment Using Trajectory Intersections in Unsynchronized Videos ICCV 2013 Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013 Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013 Complementary Projection Hashing ICCV 2013 Compressed Hashing CVPR 2013 Convex formulations of radius-margin based Support Vector Machines ICML 2013