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Metric Learning

172 directly classified papers

Papers per year

Papers

Halting in Random Walk Kernels NIPS 2015
Cross-Domain Image Retrieval With a Dual Attribute-Aware Ranking Network ICCV 2015
kNN Hashing With Factorized Neighborhood Representation ICCV 2015
Learning to Rank in Person Re-Identification With Metric Ensembles CVPR 2015
Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning CVPR 2015
MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching CVPR 2015
Large-Margin Convex Polytope Machine NIPS 2014
A Latent Source Model for Online Collaborative Filtering NIPS 2014
Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking CVPR 2014
Discriminative Color Descriptors CVPR 2013
The Power of Asymmetry in Binary Hashing NIPS 2013
Robust Feature Set Matching for Partial Face Recognition ICCV 2013
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NIPS 2012
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Worst-Case Linear Discriminant Analysis NIPS 2010
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Sparse Metric Learning via Smooth Optimization NIPS 2009
An Online Algorithm for Large Scale Image Similarity Learning NIPS 2009
Kernels on Attributed Pointsets with Applications NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Large Margin Hidden Markov Models for Automatic Speech Recognition NIPS 2006