287 search results - page 17 / 58 » Optimal Solutions for Sparse Principal Component Analysis |
CSDA
2008
14 years 9 months ago
2008
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
SMA
2009
ACM
15 years 2 months ago
2009
ACM
Principal curvatures and principal directions are fundamental local geometric properties. They are well defined on smooth surfaces. However, due to the nature as higher order di...
94
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
104
click to vote
PAMI
2010
14 years 8 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
100
click to vote
AAAI
2008
14 years 12 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...