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PAMI
2008
200views more  PAMI 2008»
15 years 7 months ago
Principal Component Analysis Based on L1-Norm Maximization
In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2PCA) is one of the most popular methods, but L2-PCA is sensitive to out...
Nojun Kwak
PR
2008
113views more  PR 2008»
15 years 7 months ago
Heart sound as a biometric
In this paper, we investigate the possibility of using heart sound as a biometric for human identification. The most significant contribution of using heart sound as a biometric is...
Koksoon Phua, Jianfeng Chen, Tran Huy Dat, Louis S...
PR
2008
129views more  PR 2008»
15 years 7 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
PRESENCE
2008
98views more  PRESENCE 2008»
15 years 7 months ago
A High-End Virtual Reality Setup for the Study of Mental Rotations
Mental rotation is the capacity to predict the orientation of an object or the layout of a scene after a change in viewpoint. Previous studies have shown that the cognitive cost o...
Alexandre Lehmann, Manuel Vidal, Heinrich H. B&uum...
PRESENCE
2008
155views more  PRESENCE 2008»
15 years 7 months ago
MKM: A Global Framework for Animating Humans in Virtual Reality Applications
Virtual humans are more and more used in VR applications but their animation is still a challenge, especially if complex tasks must be carried-out in interaction with the user. In...
Franck Multon, Richard Kulpa, Benoit Bideau