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» Discriminative Direction for Kernel Classifiers
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NIPS
2001
13 years 5 months ago
Discriminative Direction for Kernel Classifiers
In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classif...
Polina Golland
ICPR
2008
IEEE
14 years 5 months ago
Indefinite Kernel Fisher Discriminant
Indefinite kernels arise in practice, e.g. from problem-specific kernel construction. Therefore, it is necessary to understand the behavior and suitability of classifiers in the c...
Bernard Haasdonk, Elzbieta Pekalska
JMLR
2006
124views more  JMLR 2006»
13 years 4 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
SSWMC
2004
13 years 5 months ago
Kernel Fisher discriminant for steganalysis of JPEG hiding methods
The use of kernel Fisher discriminants is used to detect the presence of JPEG based hiding methods. The feature vector for the kernel discriminant is constructed from the quantize...
Jeremiah J. Harmsen, William A. Pearlman
MICCAI
2008
Springer
14 years 5 months ago
Regularized Discriminative Direction for Shape Difference Analysis
Abstract. The "discriminative direction" has been proven useful to reveal the subtle difference between two anatomical shape classes. When a shape moves along this direct...
Luping Zhou, Richard I. Hartley, Lei Wang, Paulett...