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124
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
135
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
128
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CSMR
2008
IEEE
15 years 11 months ago
2008
IEEE
Software engineers think about an existing software system in terms of high-level models. The high-level models are translated to source code and the concepts represented in these...
127
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ICCV
2005
IEEE
15 years 10 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
140
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ARTS
1999
Springer
15 years 9 months ago
1999
Springer
Stochastic process algebras such as PEPA provide ample support for the component-based construction of models. Tools compute the numerical solution of these models; however, the st...