509 search results - page 88 / 102 » Support Vector Machines: Theory and Applications |
JCP
2008
13 years 7 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...
JMLR
2006
13 years 7 months ago
2006
We propose an active set algorithm to solve the convex quadratic programming (QP) problem which is the core of the support vector machine (SVM) training. The underlying method is ...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
—The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a nove...
ICRA
2010
IEEE
13 years 5 months ago
2010
IEEE
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
DIS
2009
Springer
13 years 5 months ago
2009
Springer
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...