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» Training of Classifiers Using Virtual Samples Only
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VRCAI
2004
ACM
14 years 1 months ago
Mixed reality training application for an oil refinery: user requirements
Introducing mixed reality (MR) into safety-critical environment like oil refinery is difficult, since the environment and organization lays demanding restrictions for the applicat...
Marjaana Träskbäck, Michael Haller
ESANN
2008
13 years 9 months ago
An emphasized target smoothing procedure to improve MLP classifiers performance
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
ICPR
2004
IEEE
14 years 8 months ago
The Characterization of Classification Problems by Classifier Disagreements
In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not on...
David M. J. Tax, Elzbieta Pekalska, Robert P. W. D...
CGI
2003
IEEE
14 years 26 days ago
Immersive Vehicle Simulators for Prototyping, Training and Ergonomics
In most vehicle simulators, complete physical mockups equipped with steering wheel, gearshift and pedals are required. These devices are essential in trying to simulate real condi...
Marcelo Kallmann, Patrick Lemoine, Daniel Thalmann...