1088 search results - page 10 / 218 » Robust Principal Component Analysis for Computer Vision |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— In this paper, we propose a new nonlinear principal component analysis based on a generalized correlation function which we call correntropy. The data is nonlinearly tr...
ICANN
1997
Springer
13 years 11 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
BMCBI
2011
12 years 11 months ago
2011
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...