302 search results - page 31 / 61 » Non-parametric Mixture Models for Clustering |
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ICPR
2000
IEEE
16 years 25 days ago
2000
IEEE
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
ACL
2011
14 years 3 months ago
2011
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...