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ICPR
2006
IEEE
14 years 10 months ago
A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment
To tackle the problem of increasing numbers of state transition parameters when the number of sensors increases, we present a probabilistic model together with several parsinomiou...
Dinh Q. Phung, Dung T. Tran
LICS
2009
IEEE
14 years 3 months ago
Statistic Analysis for Probabilistic Processes
—We associate a statistical vector to a trace and a geometrical embedding to a Markov Decision Process, based on a distance on words, and study basic Membership and Equivalence p...
Michel de Rougemont, Mathieu Tracol
QEST
2005
IEEE
14 years 2 months ago
Comparative Analysis of Bisimulation Relations on Alternating and Non-Alternating Probabilistic Models
We consider bisimulation and weak bisimulation relations in the context of the Labeled Markov Chains of Hansson and Jonsson, the Concurrent Labeled Markov Chains of Philippou, Lee...
Roberto Segala, Andrea Turrini
WEBDB
2005
Springer
129views Database» more  WEBDB 2005»
14 years 2 months ago
Processing Top-N Queries in P2P-based Web Integration Systems with Probabilistic Guarantees
Efficient query processing in P2P-based Web integration systems poses a variety of challenges resulting from the strict decentralization and limited knowledge. As a special probl...
Katja Hose, Marcel Karnstedt, Kai-Uwe Sattler, Dan...
ICPR
2010
IEEE
14 years 13 days ago
Probabilistic Clustering Using the Baum-Eagon Inequality
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...
Samuel Rota Bulo', Marcello Pelillo