811 search results - page 22 / 163 » Minimal Kernel Classifiers |
HASE
2007
IEEE
15 years 4 months ago
2007
IEEE
—Modeling to predict faultproneness of software modules is an important area of research in software engineering. Most such models employ a large number ...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
A new particle filter, Kernel Particle Filter (KPF), is proposed for visual tracking for multiple objects in image sequences. The KPF invokes kernels to form a continuous estimate...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
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Voted
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...