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ICASSP
2009
IEEE
15 years 11 months ago
Fast bayesian compressive sensing using Laplace priors
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICML
2010
IEEE
15 years 6 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
TPDS
2008
88views more  TPDS 2008»
15 years 4 months ago
A Two-Hop Solution to Solving Topology Mismatch
The efficiency of Peer-to-Peer (P2P) systems is largely dependent on the overlay constructions. Due to the random selection of logical neighbors, there often exists serious topolog...
Yunhao Liu
IJCV
2000
164views more  IJCV 2000»
15 years 4 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
ATAL
2008
Springer
15 years 7 months ago
Solving two-person zero-sum repeated games of incomplete information
In repeated games with incomplete information, rational agents must carefully weigh the tradeoffs of advantageously exploiting their information to achieve a short-term gain versu...
Andrew Gilpin, Tuomas Sandholm