956 search results - page 46 / 192 » Source Constrained Clustering |
ICDE
1999
IEEE
14 years 11 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
CBMS
2006
IEEE
13 years 12 months ago
2006
IEEE
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
SOCIALCOM
2010
13 years 7 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
TASLP
2010
13 years 8 months ago
2010
Abstract—This paper describes a system, referred to as modelbased expectation-maximization source separation and localization (MESSL), for separating and localizing multiple soun...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...