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192
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JMLR
2010
15 years 1 months ago
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
179
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LR
2011
14 years 9 months ago
2011
Abstract Communities of autonomous units are devices for the visual modeling of interactive logistic processes. The framework is founded on rule-based graph transformation and allo...
203
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JMLR
2010
15 years 1 months ago
2010
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
204
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DAC
2011
ACM
14 years 6 months ago
2011
ACM
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
188
Voted
ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...