114 search results - page 8 / 23 » Nonlinear adaptive distance metric learning for clustering |
IAT
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--This paper describes an interactive tool for constrained clustering that helps users to select effective constraints efficiently during the constrained clustering process...
STACS
2007
Springer
14 years 1 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
We wish to match sets of images to sets of images where both sets are undergoing various distortions such as viewpoint and lighting changes. To this end we have developed a Joint ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
IJCAI
2007
13 years 9 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...