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DAGM
2006
Springer
13 years 11 months ago
Optimizing Spectral Filters for Single Trial EEG Classification
We propose a novel spectral filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is designed to improve the classif...
Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyu...
UAI
2000
13 years 9 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
MVA
2000
212views Computer Vision» more  MVA 2000»
13 years 7 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...
ICPR
2008
IEEE
14 years 2 months ago
Multimodal biometrics fusion using Correlation Filter Bank
In this paper, a novel class-dependence feature analysis method based on Correlation Filter Bank (CFB) technique for effective multimodal biometrics fusion at the feature level is...
Yan Yan, Yu-Jin Zhang
TSMC
2002
99views more  TSMC 2002»
13 years 7 months ago
Defect detection in textured materials using optimized filters
Theproblemofautomateddefectdetectionintextured materials is investigated. A new approach for defect detection using linearFIRfilterswithoptimizedenergyseparationisproposed.Performa...
Ajay Kumar, Grantham K. H. Pang