321 search results - page 24 / 65 » Stacked Gaussian Process Learning |
ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
109
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PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
101
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ICIP
2005
IEEE
16 years 1 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
109
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JMLR
2012
13 years 2 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
ICTAI
2005
IEEE
15 years 5 months ago
2005
IEEE
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...