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» Model Minimization in Markov Decision Processes
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CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 7 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
JAIR
2002
120views more  JAIR 2002»
13 years 7 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
ICIP
2006
IEEE
14 years 1 months ago
Discontinuity-Adaptive De-Interlacing Scheme Using Markov Random Field Model
— In this paper, a de-interlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed. The de-interlacing process is formula...
Min Li, Truong Q. Nguyen
ENTCS
2002
139views more  ENTCS 2002»
13 years 7 months ago
Automatic Verification of the IEEE-1394 Root Contention Protocol with KRONOS and PRISM
We report on the automatic verification of timed probabilistic properties of the IEEE 1394 root contention protocol combining two existing tools: the real-time modelchecker Kronos...
Conrado Daws, Marta Z. Kwiatkowska, Gethin Norman
SIBGRAPI
2000
IEEE
13 years 12 months ago
An Off-Line Signature Verification System using Hidden Markov Model and Cross-Validation
This work has as main objective to present an off-line signature verification system. It is basically divided into three parts. The first one demonstrates a pre-processing process,...
Edson J. R. Justino, Abdenaim El Yacoubi, Fl&aacut...