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PAMI
2006
128views more  PAMI 2006»
14 years 11 months ago
On Weighting Clustering
Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance po...
Richard Nock, Frank Nielsen
PR
2008
130views more  PR 2008»
14 years 11 months ago
Active semi-supervised fuzzy clustering
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
SIGGRAPH
1994
ACM
15 years 3 months ago
A clustering algorithm for radiosity in complex environments
We present an approach for accelerating hierarchical radiosity by clustering objects. Previous approaches constructed effective hierarchies by subdividing surfaces, but could not ...
Brian E. Smits, James Arvo, Donald P. Greenberg
POPL
1999
ACM
15 years 4 months ago
Types for Mobile Ambients
An ambient is a named cluster of processes and subambients, which moves as a group. We describe type systems able to guarantee that certain ambients will remain immobile, and that ...
Luca Cardelli, Andrew D. Gordon
CVPR
2009
IEEE
16 years 7 months ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...