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» Evolutionary Computation for Modeling and Optimization
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CVPR
2008
IEEE
16 years 8 months ago
Enforcing convexity for improved alignment with constrained local models
Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/tracking in comparison to leading holistic approaches (e.g., AAMs). A maj...
Yang Wang, Simon Lucey, Jeffrey F. Cohn
TNN
1998
112views more  TNN 1998»
15 years 6 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
GECCO
2009
Springer
305views Optimization» more  GECCO 2009»
16 years 1 months ago
Evolving competitive car controllers for racing games with neuroevolution
Modern computer games are at the same time an attractive application domain and an interesting testbed for the evolutionary computation techniques. In this paper we apply NeuroEvo...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 25 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
175
Voted
FPL
2009
Springer
79views Hardware» more  FPL 2009»
15 years 11 months ago
A reconfigurable architecture for the Phylogenetic Likelihood Function
As FPGA devices become larger, more coarse-grain modules coupled with large scale reconfigurable fabric become available, thus enabling new classes of applications to run effici...
Nikolaos Alachiotis, Alexandros Stamatakis, Euripi...