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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
67
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ICIP
2007
IEEE
15 years 3 months ago
Rate-Distortion Analysis and Bit Allocation Strategy for Motion Estimation at the Decoder using Maximum Likelihood Technique in
Numerous approaches for distributed video coding have been recently proposed. One of main motivations for these techniques is the possibility of achieving complexity tradeoffs bet...
Ivy H. Tseng, Antonio Ortega
JMIV
2010
78views more  JMIV 2010»
14 years 4 months ago
Unified Computation of Strict Maximum Likelihood for Geometric Fitting
A new numerical scheme is presented for strictly computing maximum likelihood (ML) of geometric fitting problems. Intensively studied in the past are those methods that first tran...
Kenichi Kanatani, Yasuyuki Sugaya
DICTA
2003
14 years 11 months ago
Maximum-Likelihood Circle-Parameter Estimation via Convolution
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delogne-K˚asa Estimator (DKE) for circle-parameter estimation via convolution. Under ...
Emanuel Zelniker, Vaughan Clarkson
ICPADS
2006
IEEE
15 years 3 months ago
Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...