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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 12 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
CVPR
2008
IEEE
14 years 9 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
SCALESPACE
2005
Springer
14 years 1 months ago
Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time
Variational methods are very popular for optic flow computation: They yield dense flow fields and perform well if they are adapted such that they respect discontinuities in the ...
Andrés Bruhn, Joachim Weickert, Timo Kohlbe...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
13 years 11 months ago
A unified optimization framework for microelectronics industry
In this paper, an object-oriented unified optimization framework (UOF) for general problem optimization is proposed. Based on evolutionary algorithms, numerical deterministic meth...
Yiming Li, Cheng-Kai Chen, Yen-Yu Cho
IJCAI
2007
13 years 9 months ago
A Factor Graph Model for Software Bug Finding
Automatic tools for finding software errors require knowledge of the rules a program must obey, or “specifications,” before they can identify bugs. We present a method that ...
Ted Kremenek, Andrew Y. Ng, Dawson R. Engler