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ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
CP
2010
Springer
15 years 4 months ago
Towards Parallel Non Serial Dynamic Programming for Solving Hard Weighted CSP
We introduce a parallelized version of tree-decomposition based dynamic programming for solving difficult weighted CSP instances on many cores. A tree decomposition organizes cost ...
David Allouche, Simon de Givry, Thomas Schiex
ICCV
2003
IEEE
16 years 8 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
16 years 1 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
VTC
2007
IEEE
130views Communications» more  VTC 2007»
16 years 28 days ago
Automated Up- and Downlink Capacity Balancing in WCDMA Networks
— Dynamic optimization of UMTS systems has been gaining a growing interest by the research community. In this context, the current paper concentrates on dynamic automated tuning ...
Mario García-Lozano, Oriol Sallent, Jordi P...