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» Incremental Probabilistic Inference
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TCSV
2008
161views more  TCSV 2008»
13 years 8 months ago
Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters (FAPs) whil...
Yongmian Zhang, Qiang Ji, Zhiwei Zhu, Beifang Yi
CORR
2004
Springer
106views Education» more  CORR 2004»
13 years 8 months ago
Intelligent Systems: Architectures and Perspectives
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
Ajith Abraham
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 7 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
JMLR
2010
145views more  JMLR 2010»
13 years 3 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
PAMI
2012
11 years 11 months ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos