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BMCBI
2010
229views more  BMCBI 2010»
13 years 7 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
AAAI
2006
13 years 9 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams
JCP
2008
139views more  JCP 2008»
13 years 7 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang
CVPR
2008
IEEE
13 years 9 months ago
Extracting smooth and transparent layers from a single image
Layer decomposition from a single image is an underconstrained problem, because there are more unknowns than equations. This paper studies a slightly easier but very useful altern...
Sai Kit Yeung, Tai-Pang Wu, Chi-Keung Tang
ICDAR
2009
IEEE
14 years 2 months ago
Arabic Handwriting Recognition Using Restored Stroke Chronology
In this paper we present a system of the off-line handwriting recognition. Our recognition system is based on temporal order restoration of the off-line trajectory. For this task ...
Abdelkarim Elbaati, Houcine Boubaker, Monji Kheral...