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» Parameterised system design based on genetic algorithms
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EVOW
2010
Springer
15 years 10 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
16 years 1 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 22 days ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah
CODES
2006
IEEE
15 years 8 months ago
Efficient computation of buffer capacities for multi-rate real-time systems with back-pressure
A key step in the design of multi-rate real-time systems is the determination of buffer capacities. In our multi-processor system, we apply back-pressure as caused by bounded buff...
Maarten Wiggers, Marco Bekooij, Pierre G. Jansen, ...
TCOM
2008
101views more  TCOM 2008»
15 years 6 months ago
Transmit beamforming for space-frequency coded MIMO-OFDM systems with spatial correlation feedback
Abstract--This paper addresses the problem of joint optimization of transmit beamforming and space-frequency (SF) coding for MIMO-OFDM systems with spatial correlation feedback in ...
Ahmed K. Sadek, Weifeng Su, K. J. Ray Liu