1775 search results - page 127 / 355 » Learning Spectral Clustering |
91
Voted
ICML
2004
IEEE
15 years 11 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...
94
Voted
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
75
Voted
COLT
2010
Springer
14 years 8 months ago
2010
Springer
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
100
click to vote
ICML
2010
IEEE
14 years 8 months ago
2010
IEEE
This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
184
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...