270 search results - page 7 / 54 » Hierarchical Gaussian process latent variable models |
105
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
111
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PAMI
2011
14 years 4 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
113
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JMLR
2010
14 years 4 months ago
2010
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
116
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
102
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated occlusions, and cluttered o...