208 search results - page 13 / 42 » Robust Kernel Principal Component Analysis |
SMA
2009
ACM
14 years 6 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
2004
13 years 9 months ago
2004
This paper investigates the effect of Kernel Principal Component Analysis (KPCA) within the classification framework, essentially the regularization properties of this dimensional...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...
PR
2007
13 years 7 months ago
2007
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
JMLR
2010
13 years 2 months ago
2010
This study explores the feasibility of estimating the Body Condition Score (BCS) of cows from digital images by employing statistical shape analysis and regression machines. The s...