405 search results - page 66 / 81 » Bayesian Gaussian Process Latent Variable Model |
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
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IJAR
2002
14 years 9 months ago
2002
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
103
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BMCBI
2010
14 years 9 months ago
2010
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
AUTOMATICA
2010
14 years 9 months ago
2010
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...