2245 search results - page 71 / 449 » Metrics that Learn Relevance |
133
Voted
COLT
2010
Springer
15 years 1 months ago
2010
Springer
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
121
Voted
JCIT
2008
15 years 3 months ago
2008
Metric distances and the more general concept of dissimilarities are widely used tools in instance-based learning methods and very especially in the nearestneighbor classification...
201
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
140
Voted
IJCV
2002
15 years 3 months ago
2002
Abstract. A new, exemplar-based, probabilistic paradigm for visual tracking is presented. Probabilistic mechanisms are attractive because they handle fusion of information, especia...
143
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...