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» Computing with Infinitely Many Processes
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IJCAI
2001
15 years 8 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
BMVC
1998
15 years 8 months ago
Progressive Probabilistic Hough Transform
In the paper we present the Progressive Probabilistic Hough Transform (PPHT). Unlike the Probabilistic Hough Transform 4] where Standard Hough Transform is performed on a pre-sele...
Jiri Matas, Charles Galambos, Josef Kittler
CVPR
2010
IEEE
15 years 6 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ISCI
2008
120views more  ISCI 2008»
15 years 6 months ago
Using cooperative mobile agents to monitor distributed and dynamic environments
Monitoring the changes in data values obtained from the environment (e.g., locations of moving objects) is a primary concern in many fields, as for example in the pervasive comput...
Sergio Ilarri, Eduardo Mena, Arantza Illarramendi
CAD
2005
Springer
15 years 6 months ago
Bio-CAD
CAD has been traditionally used to assist in engineering design and modeling for representation, analysis and manufacturing. Advances in Information Technology and in Biomedicine ...
Wei Sun