191 search results - page 4 / 39 » CDP Mixture Models for Data Clustering |
105
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ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
97
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
111
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AAAI
2010
15 years 1 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
140
Voted
TCSV
2010
14 years 6 months ago
2010
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
117
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GFKL
2005
Springer
15 years 5 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...