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» Learning for Optical Flow Using Stochastic Optimization
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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 8 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
99
Voted
CVPR
2006
IEEE
16 years 3 months ago
Robust Tracking and Stereo Matching under Variable Illumination
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
Jingdan Zhang, Leonard McMillan, Jingyi Yu
165
Voted

Lab
652views
17 years 1 months ago
Electronic Enterprises Laboratory
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...
CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
14 years 8 months ago
Learning in mean-field oscillator games
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...
Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday...
177
Voted
WSC
2001
15 years 3 months ago
Distributed simulation with incorporated APS procedures for high-fidelity supply chain optimization
Tactical and operational planning for manufacturing enterprises are more important today than ever before as their supply chains span the globe. Two state-of-the-art technologies ...
Peter Lendermann, Boon-Ping Gan, Leon F. McGinnis