956 search results - page 46 / 192 » Source Constrained Clustering |
315
Voted
ICDE
1999
IEEE
16 years 4 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...
119
Voted
CBMS
2006
IEEE
15 years 4 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...
130
Voted
SOCIALCOM
2010
15 years 20 days 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...
121
Voted
TASLP
2010
15 years 1 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...
159
Voted
ICIP
2007
IEEE
16 years 4 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...