270 search results - page 21 / 54 » Hierarchical Gaussian process latent variable models |
ACCV
2009
Springer
15 years 6 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
130
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ICIP
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...
ICA
2007
Springer
15 years 5 months ago
2007
Springer
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
102
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DAGM
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
NIPS
2007
15 years 1 months ago
2007
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...