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» Training of Classifiers Using Virtual Samples Only
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 1 months ago
Improving data mining utility with projective sampling
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
Mark Last
TASLP
2010
144views more  TASLP 2010»
13 years 3 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
VR
2008
IEEE
180views Virtual Reality» more  VR 2008»
13 years 9 months ago
Transfer of learning in virtual environments: a new challenge?
: The aim of all education is to apply what we learn in different contexts and to recognise and extend this learning to new situations. Virtual learning environments can used to bu...
Cyril Bossard, Gilles Kermarrec, Cédric Buc...
IWANN
2009
Springer
14 years 3 months ago
Asynchronous Brain-Computer Interface to Navigate in Virtual Environments Using One Motor Imagery
A Brain-Computer Interface (BCI) application focused on the control of a wheelchair must consider the danger which a wrong command would involve in a real situation. Virtual realit...
Francisco Velasco-Álvarez, Ricardo Ron-Ange...
ICIAR
2005
Springer
14 years 2 months ago
Multi-dimensional Color Histograms for Segmentation of Wounds in Images
The work investigates the use of multi dimensional histograms for segmentation of images of chronic wounds. We employ a Support Vector Machine (SVM) classifier for automatic extrac...
Marina Kolesnik, Ales Fexa