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» The Probabilistic Method
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144
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ACRI
2006
Springer
15 years 9 months ago
Parallel Simulation of Asynchronous Cellular Automata Evolution
For simulating physical and chemical processes on molecular level asynchronous cellular automata with probabilistic transition rules are widely used being sometimes referred to as ...
Olga L. Bandman
137
Voted
SSPR
1998
Springer
15 years 7 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
129
Voted
ISVC
2010
Springer
15 years 2 months ago
Markov Random Field-Based Clustering for the Integration of Multi-view Range Images
Abstract. Multi-view range image integration aims at producing a single reasonable 3D point cloud. The point cloud is likely to be inconsistent with the measurements topologically ...
Ran Song, Yonghuai Liu, Ralph R. Martin, Paul L. R...
119
Voted
MM
2005
ACM
145views Multimedia» more  MM 2005»
15 years 9 months ago
Multiple instance learning for labeling faces in broadcasting news video
Labeling faces in news video with their names is an interesting research problem which was previously solved using supervised methods that demand significant user efforts on lab...
Jun Yang 0003, Rong Yan, Alexander G. Hauptmann
130
Voted
AAAI
2010
15 years 2 months ago
A Trust Model for Supply Chain Management
hey generalize these factors to the abstract concepts of ability, integrity, and benevolence. This model does not use probabilistic decision theory. Other SCM trust factors have be...
Yasaman Haghpanah, Marie desJardins