509 search results - page 88 / 102 » Support Vector Machines: Theory and Applications |
134
Voted
JCP
2008
15 years 1 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...
86
Voted
JMLR
2006
15 years 1 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 ...
142
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ICPR
2010
IEEE
15 years 26 days 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...
135
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ICRA
2010
IEEE
15 years 12 days 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...
131
Voted
DIS
2009
Springer
14 years 11 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 ...