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» Taming Dynamically Adaptive Systems using models and aspects
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IJCAI
2003
14 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
SIMULATION
2008
139views more  SIMULATION 2008»
14 years 9 months ago
Constitutive Hybrid Processes: a Process-Algebraic Semantics for Hybrid Bond Graphs
Models of physical systems have to be based on physical principles such as conservation of energy and continuity of power. These principles are inherently enforced by the bond gra...
Pieter J. L. Cuijpers, Jan F. Broenink, Pieter J. ...
OTM
2007
Springer
15 years 3 months ago
Bayesian Analysis of Secure P2P Sharing Protocols
Ad hoc and peer-to-peer (P2P) computing paradigms pose a number of security challenges. The deployment of classic security protocols to provide services such as node authentication...
Esther Palomar, Almudena Alcaide, Juan M. Est&eacu...
SASO
2008
IEEE
15 years 4 months ago
Pervasive Self-Learning with Multi-modal Distributed Sensors
Truly ubiquitous computing poses new and significant challenges. A huge number of heterogeneous devices will interact to perform complex distributed tasks. One of the key aspects...
Nicola Bicocchi, Marco Mamei, Andrea Prati, Rita C...
MVA
2008
125views Computer Vision» more  MVA 2008»
14 years 9 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...