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ICASSP
2011
IEEE
14 years 10 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
165
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CAMAD
2009
IEEE
15 years 11 months ago
Basic Estimation of Markovian Pseudo Long-Range Dependent Processes
—The pseudo self similar processes are quite attractive due to their simplicity but the question we are interested in this paper concerns the basic estimation of such models. How...
Stephan Robert
ARTS
1999
Springer
15 years 11 months ago
Process Algebra with Probabilistic Choice
Published results show that various models may be obtained by combining parallel composition with probability and with or without non-determinism. In this paper we treat this probl...
Suzana Andova
AAAI
1997
15 years 8 months ago
Structured Solution Methods for Non-Markovian Decision Processes
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
ESWS
2008
Springer
15 years 7 months ago
Semantic Annotation and Composition of Business Processes with Maestro
Abstract. One of the main problems when creating execution-level process models is finding implementations for process activities. Carrying out this activity manually can be time ...
Matthias Born, Jörg Hoffmann, Tomasz Kaczmare...