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INFORMS
1998
142views more  INFORMS 1998»
13 years 7 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
ICASSP
2009
IEEE
14 years 2 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
ATAL
2010
Springer
13 years 8 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
IPSN
2009
Springer
14 years 2 months ago
Algebraic approach to recovering topological information in distributed camera networks
Camera networks are widely used for tasks such as surveillance, monitoring and tracking. In order to accomplish these tasks, knowledge of localization information such as camera l...
Edgar J. Lobaton, Parvez Ahammad, Shankar Sastry
MDM
2007
Springer
14 years 1 months ago
State-Filters for Enhanced Filtering in Sensor-Based Publish/Subscribe Systems
—Publish/Subscribe systems have been extensively studied in the context of distributed information-based systems, and have proven scalable in information-dissemination for many d...
Salman Taherian, Jean Bacon