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

Balanced Graph Matching NIPS 2006
Large Margin Component Analysis NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
A Kernel Method for the Two-Sample-Problem NIPS 2006
Large Margin Hidden Markov Models for Automatic Speech Recognition NIPS 2006
Outdoor Path Labeling Using Polynomial Mahalanobis Distance RSS 2006
Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005
Learning the Kernel Function via Regularization JMLR 2005
Semigroup Kernels on Measures JMLR 2005
Maximum Margin Algorithms with Boolean Kernels JMLR 2005
Kernel Methods for Measuring Independence JMLR 2005
Efficient Margin Maximizing with Boosting JMLR 2005
Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
Distance-Based Classification with Lipschitz Functions JMLR 2004
Feature Discovery in Non-Metric Pairwise Data JMLR 2004
Probability Product Kernels JMLR 2004
The Minimum Error Minimax Probability Machine JMLR 2004
Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004
Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004
Word-Sequence Kernels JMLR 2003
Kernel Methods for Relation Extraction JMLR 2003
Ranking a Random Feature for Variable and Feature Selection JMLR 2003
Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003
On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines JMLR 2003