54 search results - page 7 / 11 » Manifold denoising with Gaussian Process Latent Variable Mod... |
109
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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...
GRC
2010
IEEE
14 years 10 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
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...
ICIP
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract— In this paper, we describe a two-step varianceadaptive method for image denoising based on a statistical model of the coefficients of balanced multiwavelet transform. ...
76
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CORR
2012
Springer
13 years 5 months ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...