187 search results - page 9 / 38 » Nonlinear Component Analysis as a Kernel Eigenvalue Problem |
IJCAI
2007
14 years 11 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
ACL
2004
14 years 11 months ago
2004
We introduce a new method for disambiguating word senses that exploits a nonlinear Kernel Principal Component Analysis (KPCA) technique to achieve accuracy superior to the best pu...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
100
Voted
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
This research concerns fundamental performance limitations in control of discrete time nonlinear systems. The fundamental limitations are expressed in terms of the average cost of ...
JCP
2008
14 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...