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CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
13 years 9 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
JGTOOLS
2008
189views more  JGTOOLS 2008»
13 years 9 months ago
Subtractive Shadows: A Flexible Framework for Shadow Level of Detail
Abstract. We explore the implications of reversing the process of shadow computation for real-time applications that model complex reflectance and lighting (such as that specified ...
Christopher DeCoro, Szymon Rusinkiewicz
JMLR
2006
125views more  JMLR 2006»
13 years 9 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
PAMI
2006
206views more  PAMI 2006»
13 years 9 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
JEI
2007
79views more  JEI 2007»
13 years 8 months ago
Stereo matching via selective multiple windows
Window-based correlation algorithms are widely used for stereo matching due to their computational efficiency as compared to global algorithms. In this paper, a multiple window co...
Satyajit Anil Adhyapak, Nasser D. Kehtarnavaz, Mih...