496 search results - page 34 / 100 » Semi-Supervised Learning of Mixture Models |
117
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ICPR
2000
IEEE
16 years 4 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
139
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
119
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
146
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JAIR
1998
15 years 2 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
134
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SADM
2010
14 years 10 months ago
2010
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...