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Metric Learning

2800 directly classified papers

Papers per year

Papers

Local Ordinal Embedding ICML 2014
Beta Process Multiple Kernel Learning CVPR 2014
Discriminative Deep Metric Learning for Face Verification in the Wild CVPR 2014
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NIPS 2014
Diffusion Processes for Retrieval Revisited CVPR 2013
Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013
Learning Coupled Feature Spaces for Cross-Modal Matching ICCV 2013
Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013
Saliency Detection via Graph-Based Manifold Ranking CVPR 2013
Graph Matching with Anchor Nodes: A Learning Approach CVPR 2013
Query Adaptive Similarity for Large Scale Object Retrieval CVPR 2013
A Framework for Shape Analysis via Hilbert Space Embedding ICCV 2013
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild CVPR 2013
Camera Alignment Using Trajectory Intersections in Unsynchronized Videos ICCV 2013
Optimizing 1-Nearest Prototype Classifiers CVPR 2013
Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes ICCV 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Quadruplet-Wise Image Similarity Learning ICCV 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
The Power of Asymmetry in Binary Hashing NIPS 2013
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013
Similarity Component Analysis NIPS 2013
Face Recognition Using Face Patch Networks ICCV 2013
Fast Neighborhood Graph Search Using Cartesian Concatenation ICCV 2013
Complementary Projection Hashing ICCV 2013