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TIP
1998
129views more  TIP 1998»
15 years 4 months ago
Minimax partial distortion competitive learning for optimal codebook design
— The design of the optimal codebook for a given codebook size and input source is a challenging puzzle that remains to be solved. The key problem in optimal codebook design is h...
Ce Zhu, Lai-Man Po
PPL
2007
112views more  PPL 2007»
15 years 4 months ago
Embodied Computation
The traditional computational devices and models, such as the von Neumann architecture or the Turing machine, are strongly influenced by concepts of central control and perfectio...
Heiko Hamann, Heinz Wörn
FUIN
2010
112views more  FUIN 2010»
15 years 3 months ago
An Empirical Study of QBF Encodings: from Treewidth Estimation to Useful Preprocessing
From an empirical point of view, the hardness of quantified Boolean formulas (QBFs), can be characterized by the (in)ability of current state-of-the-art QBF solvers to decide abo...
Luca Pulina, Armando Tacchella
IJRR
2010
162views more  IJRR 2010»
15 years 3 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
PVLDB
2010
97views more  PVLDB 2010»
15 years 3 months ago
Ranking Continuous Probabilistic Datasets
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Jian Li, Amol Deshpande