406 search results - page 26 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
153
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ECCV
2010
Springer
15 years 9 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
175
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CAIP
2007
Springer
15 years 10 months ago
2007
Springer
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
130
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
The quality and intelligibility of narrowband telephone speech can be enhanced by artifical bandwidth extension. This study combines Gaussian mixture model-based (GMM) mel spectr...
140
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
142
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TNN
2008
15 years 4 months ago
2008
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...