1775 search results - page 118 / 355 » Learning Spectral Clustering |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
ECML
2004
Springer
15 years 3 months ago
2004
Springer
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
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DAGSTUHL
2009
14 years 11 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...