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AAAI
1997
13 years 8 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
CODES
2003
IEEE
14 years 23 days ago
A multiobjective optimization model for exploring multiprocessor mappings of process networks
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Cagkan Erbas, Selin C. Erbas, Andy D. Pimentel
ECAI
2000
Springer
13 years 11 months ago
Encoding Information Fusion in Possibilistic Logic: A General Framework for Rational Syntactic Merging
The problem of merging multiple sources information is central in many information processing areas such as databases integration problems, multiple criteria decision making, exper...
Salem Benferhat, Didier Dubois, Souhila Kaci, Henr...
ECCV
2006
Springer
13 years 11 months ago
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Hui Ji, Cornelia Fermüller
IJAR
2007
90views more  IJAR 2007»
13 years 7 months ago
An argumentation framework for merging conflicting knowledge bases
The problem of merging multiple sources of information is central in many information processing areas such as databases integrating problems, multiple criteria decision making, e...
Leila Amgoud, Souhila Kaci