709 search results - page 18 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
COLT
2005
Springer
14 years 2 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
ESANN
2007
13 years 10 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
ECML
2006
Springer
14 years 3 days ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
CSDA
2010
13 years 5 months ago
2010
A modified active subset selection method based on quadratic R