39 search results - page 6 / 8 » Distance Metric Learning with Eigenvalue Optimization |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
PR
2006
13 years 5 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
NAACL
2010
13 years 3 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
DAGSTUHL
2007
13 years 7 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...