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» Input Modeling Using Quantile Statistical Methods
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IJON
2006
90views more  IJON 2006»
15 years 2 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
CGF
2000
110views more  CGF 2000»
15 years 2 months ago
Directional Discretized Occluders for Accelerated Occlusion Culling
We present a technique for accelerating the rendering of high depth-complexity scenes. In a preprocessing stage, we approximate the input model with a hierarchical data structure ...
Fausto Bernardini, James T. Klosowski, Jihad El-Sa...
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
15 years 9 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
WSC
1998
15 years 4 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
AMFG
2005
IEEE
146views Biometrics» more  AMFG 2005»
15 years 8 months ago
A Practical Face Relighting Method for Directional Lighting Normalization
We propose a simplified and practical computational technique for estimating directional lighting in uncalibrated images of faces in frontal pose. We show that this inverse probl...
Kuang-Chih Lee, Baback Moghaddam