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CVPR
2005
IEEE
14 years 6 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
PAMI
2007
249views more  PAMI 2007»
13 years 4 months ago
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...
ISBI
2002
IEEE
14 years 5 months ago
Statistically-based reorientation of diffusion tensor field
This paper presents a new method for warping of diffusion tensor fields. The proper reorientation of a tensor field requires knowledge of the underlying fiber orientation, which i...
Dongrong Xu, Susumu Mori, Dinggang Shen, Christos ...
IJCNN
2007
IEEE
13 years 11 months ago
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
Jaakko J. Väyrynen, Lasse Lindqvist, Timo Hon...