142 search results - page 16 / 29 » Wavelet based approach to cluster analysis. Application on l... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
CVPR
2007
IEEE
14 years 2 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
ICDCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
WEBI
2009
Springer
14 years 2 months ago
2009
Springer
The emergence of scale free and small world properties in real world complex networks has stimulated lots of activity in the field of network analysis. An example of such a netwo...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...