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» Sources of Variability in MEG
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FUZZIEEE
2007
IEEE
15 years 4 months ago
Using Orders of Magnitude and Nominal Variables to Construct Fuzzy Partitions
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
Cati Olmo, Germán Sánchez, Francesc ...
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
15 years 3 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
CVPR
1998
IEEE
15 years 11 months ago
Comparing Images under Variable Illumination
We consider the problem of determining whether two images come from different objects or the same object in the same pose, but under different illumination conditions. We show tha...
David W. Jacobs, Peter N. Belhumeur, Ronen Basri
ETRA
2008
ACM
139views Biometrics» more  ETRA 2008»
14 years 11 months ago
Limbus/pupil switching for wearable eye tracking under variable lighting conditions
We present a low-cost wearable eye tracker built from off-the-shelf components. Based on the open source openEyes project (the only other similar effort that we are aware of), our...
Wayne J. Ryan, Andrew T. Duchowski, Stanley T. Bir...
DAC
2007
ACM
15 years 10 months ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar