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166
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ICPR
2006
IEEE
16 years 7 months ago
2006
IEEE
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
140
Voted
HPCA
2008
IEEE
16 years 6 months ago
2008
IEEE
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
187
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CEC
2009
IEEE
16 years 1 months ago
2009
IEEE
— We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot’s cognition to its environment is ...
155
Voted
ISVC
2009
Springer
16 years 27 days ago
2009
Springer
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
167
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FBIT
2007
IEEE
16 years 21 days ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...