1775 search results - page 136 / 355 » Learning Spectral Clustering |
89
Voted
PRIB
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
104
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SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
SIGIR
2008
ACM
14 years 10 months ago
2008
ACM
We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes th...
CVPR
2006
IEEE
16 years 5 days ago
2006
IEEE
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
83
Voted
CVPR
2007
IEEE
16 years 5 days ago
2007
IEEE
Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...