897 search results - page 13 / 180 » Correlational spectral clustering |
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
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INTERSPEECH
2010
14 years 4 months ago
2010
Ratings of voices' likability were collected in two successive studies. A single scale seems to be sufficient for assessing such ratings. Based on limited but controlled data...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
BMCBI
2005
14 years 9 months ago
2005
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...