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TSP
2010
13 years 4 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICPR
2006
IEEE
14 years 11 months ago
Modification of the AdaBoost-based Detector for Partially Occluded Faces
While face detection seems a solved problem under general conditions, most state-of-the-art systems degrade rapidly when faces are partially occluded by other objects. This paper ...
Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, ...
CGI
2004
IEEE
14 years 1 months ago
Face Recognition Using Computer-Generated Database
Many face database and recognition systems have been constructed in specially designed studios with various illuminations, poses, and expressions. However, none of these databases...
Won-Sook Lee, Kyung-Ah Sohn
ICML
2009
IEEE
14 years 11 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
QEST
2007
IEEE
14 years 4 months ago
A framework to design and solve Markov Decision Well-formed Net models
Marco Beccuti, Daniele Codetta Raiteri, Giuliana F...