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» Recognition of Properties by Probabilistic Neural Networks
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 8 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
CVPR
2007
IEEE
14 years 9 months ago
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
Facial activities are the most natural and powerful means of human communication. Spontaneous facial activity is characterized by rigid head movements, non-rigid facial muscular m...
Yan Tong, Wenhui Liao, Zheng Xue, Qiang Ji
EURASIP
1990
13 years 11 months ago
Inversion in Time
Inversionof multilayersynchronous networks is a method which tries to answer questions like What kind of input will give a desired output?" or Is it possible to get a desired...
Sebastian Thrun, Alexander Linden
NECO
2007
127views more  NECO 2007»
13 years 7 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
ECAI
2010
Springer
13 years 5 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...