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» The Necessity of Combining Adaptation Methods
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102
Voted
IJON
1998
87views more  IJON 1998»
15 years 10 days ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
128
Voted
IBPRIA
2009
Springer
14 years 10 months ago
Real-Time Motion Detection for a Mobile Observer Using Multiple Kernel Tracking and Belief Propagation
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
Marc Vivet, Brais Martínez, Xavier Binefa
78
Voted
ICPR
2008
IEEE
15 years 7 months ago
Double-edge-model based character stroke extraction from complex backgrounds
Global gray-level thresholding techniques such as Otsu’s method, and local gray-level thresholding techniques such as adaptive thresholding method are powerful in extracting cha...
Jing Yu, Lei Huang, Changping Liu
86
Voted
EUROMICRO
2004
IEEE
15 years 4 months ago
Analysis and Prediction of Performance for Evolving Architectures
This paper describes a method for the "Analysis and Prediction of Performance for Evolving Architectures" (APPEAR). The method aims at performance estimation of adapted ...
Evgeni M. Eskenazi, Alexandre V. Fioukov, Dieter K...
125
Voted
WSC
2007
15 years 3 months ago
Allocation of simulation runs for simulation optimization
Simulation optimization (SO) is the process of finding the optimum design of a system whose performance measure(s) are estimated via simulation. We propose some ideas to improve o...
Alireza Kabirian, Sigurdur Ólafsson