2245 search results - page 71 / 449 » Metrics that Learn Relevance |
COLT
2010
Springer
13 years 8 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 ...
JCIT
2008
13 years 10 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...
CVPR
2012
IEEE
12 years 16 days 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...
IJCV
2002
13 years 9 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...
ICML
2005
IEEE
14 years 11 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...