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EAAI
2007
101views more  EAAI 2007»
13 years 8 months ago
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
In the paper an application of the interval fuzzy model (INFUMO) in fault detection for nonlinear systems with uncertain intervaltype parameters is presented. A confidence band f...
Simon Oblak, Igor Skrjanc, Saso Blazic
AVSS
2009
IEEE
14 years 2 months ago
Context-Based Reasoning Using Ontologies to Adapt Visual Tracking in Surveillance
— Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information ...
Juan Gómez-Romero, Miguel A. Patricio, Jes&...
CVPR
2005
IEEE
14 years 1 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICRA
2008
IEEE
165views Robotics» more  ICRA 2008»
14 years 2 months ago
Comparison of robotic and clinical motor function improvement measures for sub-acute stroke patients
Abstract— In this paper, preliminary results in motor function improvement for four sub-acute stroke patients that underwent a hybrid robotic and traditional rehabilitation progr...
Ozkan Celik, Marcia Kilchenman O'Malley, Corwin Bo...
MICCAI
1998
Springer
14 years 6 days ago
Motion Measurements in Low-Contrast X-ray Imagery
Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Often, the require...
Martin Berger, Guido Gerig