59 search results - page 5 / 12 » Sparse Higher-Order Principal Components Analysis |
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
SMA
2009
ACM
14 years 2 days ago
2009
ACM
Principal curvatures and principal directions are fundamental local geometric properties. They are well deļ¬ned on smooth surfaces. However, due to the nature as higher order diļ...
NIPS
2008
13 years 8 months ago
2008
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we ļ¬rst introduce an eļ¬cient algor...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...