1088 search results - page 29 / 218 » Robust Principal Component Analysis for Computer Vision |
BMCV
2000
Springer
13 years 12 months ago
2000
Springer
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
SCALESPACE
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Concepts from elasticity are applied to analyze modes of variation on shapes in two and three dimensions. This approach represents a physically motivated alternative to s...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
CCGRID
2008
IEEE
14 years 2 months ago
2008
IEEE
— Diffusion Tensor Imaging (DTI) provides insight into the white matter of the human brain, which is affected by Schizophrenia. By comparing a patient group to a control group, t...
NIPS
2000
13 years 9 months ago
2000
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...