733 search results - page 46 / 147 » Learning Riemannian Metrics |
ICML
2005
IEEE
14 years 9 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...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
PR
2006
13 years 8 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
COLING
2010
13 years 3 months ago
2010
A large body of prior research on coreference resolution recasts the problem as a two-class classification problem. However, standard supervised machine learning algorithms that m...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...