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Metric Learning

2800 directly classified papers

Papers per year

Papers

Regressive Virtual Metric Learning NIPS 2015
Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning CVPR 2015
Learning with a Wasserstein Loss NIPS 2015
Pairwise Geometric Matching for Large-Scale Object Retrieval CVPR 2015
BOLD - Binary Online Learned Descriptor For Efficient Image Matching CVPR 2015
Visalogy: Answering Visual Analogy Questions NIPS 2015
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NIPS 2015
Generalized Hierarchical Kernel Learning JMLR 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015
Multiple Random Walkers and Their Application to Image Cosegmentation CVPR 2015
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015
Metric recovery from directed unweighted graphs AISTATS 2015
Dimensionality estimation without distances AISTATS 2015
Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015
Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015
Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015
Social Saliency Prediction CVPR 2015
Surrogate Functions for Maximizing Precision at the Top ICML 2015
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification ICML 2015
The Kendall and Mallows Kernels for Permutations ICML 2015
Multi-Manifold Deep Metric Learning for Image Set Classification CVPR 2015
Simultaneous Feature Learning and Hash Coding With Deep Neural Networks CVPR 2015
A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015