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» Neural Model Identification Using Local Robustness Analysis
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ICASSP
2007
IEEE
14 years 1 months ago
Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
Thomas Vincent, Philippe Ciuciu, Jérô...
BMCBI
2006
155views more  BMCBI 2006»
13 years 7 months ago
CAVER: a new tool to explore routes from protein clefts, pockets and cavities
Background: The main aim of this study was to develop and implement an algorithm for the rapid, accurate and automated identification of paths leading from buried protein clefts, ...
Martin Petrek, Michal Otyepka, Pavel Banás,...
CEC
2009
IEEE
14 years 2 months ago
Evolving morphology and control: A distributed approach
—In this paper we present a model which allows to co-evolve the morphology and the control system of realistically simulated robots (creatures). The method proposed is based on a...
Mariagiovanna Mazzapioda, Angelo Cangelosi, Stefan...
ICTAI
2008
IEEE
14 years 1 months ago
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Qinpei Zhao, Mantao Xu, Pasi Fränti
MVA
2007
211views Computer Vision» more  MVA 2007»
13 years 8 months ago
Shadow Elimination in Traffic Video Segmentation
Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
Hong Liu, Jintao Li, Qun Liu, Yueliang Qian