Kernel methods and their potential use in signal processing.

Kernel methods and their potential use in signal processing.

The notion of kernels, recently introduced, has drawn much interest as it allows one to obtain nonlinear algorithms from linear ones in a simple and elegant manner. This, in conjunction with the introduction of new linear classification methods such as the support vector machines (SVMs), has produce...

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Bibliografische gegevens
Gepubliceerd in:IEEE Signal processing magazine 21, 3 (2004).
Hoofdauteur: Perez-Cruz, F.
Formaat: Artikel
Taal:English
Onderwerpen:
SVM.
Binary classification.
Kernel matrix.
Kernel methods.
Kernel principal component analysis.
Machine learning.
Nonlinear knowledge discovery.
Nonlinear processing.
Signal processing.
Support vector machines.
Unsupervised learning.