conftrace_
← Core Methods
Machine Learning › Core Methods ›

Metric Learning

2,854 papers

Papers per year

6
21
102
261
222
'05
'10
'15
'20
'25

Papers

Metric Learning with Multiple Kernels NIPS 2011
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network NIPS 2011
Heavy-tailed Distances for Gradient Based Image Descriptors NIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011
Similarity-based Learning via Data Driven Embeddings NIPS 2011
Multi-View Learning of Word Embeddings via CCA NIPS 2011
Exploiting spatial overlap to efficiently compute appearance distances between image windows NIPS 2011
Portmanteau Vocabularies for Multi-Cue Image Representation NIPS 2011
Efficient anomaly detection using bipartite k-NN graphs NIPS 2011
On Learning Discrete Graphical Models using Greedy Methods NIPS 2011
Learning a Distance Metric from a Network NIPS 2011
Randomized Algorithms for Comparison-based Search NIPS 2011
Multiple Instance Learning on Structured Data NIPS 2011
Learning to Search Efficiently in High Dimensions NIPS 2011
Learning a Tree of Metrics with Disjoint Visual Features NIPS 2011
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NIPS 2011
Generative Kernels for Exponential Families AISTATS 2011
Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011
Cross-Domain Object Matching with Model Selection AISTATS 2011
Minimax Algorithm for Learning Rotations COLT 2011
Learning Multi-modal Similarity JMLR 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms JMLR 2011
Learning a Robust Relevance Model for Search Using Kernel Methods JMLR 2011
Weisfeiler-Lehman Graph Kernels JMLR 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010