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» Estimating Vision Parameters given Data with Covariances
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108
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ICML
2008
IEEE
15 years 10 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
69
Voted
ECCV
2002
Springer
15 years 11 months ago
Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
Tony Lindeberg
NN
2002
Springer
224views Neural Networks» more  NN 2002»
14 years 9 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
CVPR
2003
IEEE
15 years 11 months ago
Simultaneous Estimation of Left Ventricular Motion and Material Properties with Maximum a Posteriori Strategy
In addition to its technical merits as a challenging non-rigid motion and structural integrity analysis problem, quantitative estimation of cardiac regional functions and material...
Huafeng Liu, Pengcheng Shi
ECCV
2008
Springer
15 years 11 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji