496 search results - page 28 / 100 » Semi-Supervised Learning of Mixture Models |
104
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ECML
2005
Springer
15 years 8 months ago
2005
Springer
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
135
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
121
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ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
138
Voted
BMEI
2009
IEEE
15 years 3 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
136
Voted
ICIP
2006
IEEE
16 years 4 months ago
2006
IEEE
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...