922 search results - page 68 / 185 » Learning Gaussian Process Models from Uncertain Data |
101
Voted
ICIP
2000
IEEE
16 years 4 months ago
2000
IEEE
We develop an information?theoretic analysis of dependencies between image wavelet coefficients. The dependencies are measured using mutual information, which has a direct link wi...
136
Voted
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
105
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NECO
2002
15 years 2 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
119
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MLG
2007
Springer
15 years 8 months ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
124
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ILP
2007
Springer
15 years 8 months ago
2007
Springer
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...