Hilbert–Schmidt component analysis

Hilbert–Schmidt component analysis

We propose a feature extraction algorithm, based on the Hilbert–Schmidt independence criterion (HSIC) and the maximum dependence – minimum redundancy approach. Experiments with classification data sets demonstrate that suggested Hilbert–Schmidt component analysis (HSCA) algorithm in certain cases ma...

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Bibliographic Details
Main Authors: Povilas Daniušis, Pranas Vaitkus, Linas Petkevičius
Format: Article
Language:English
Published: Vilnius University Press 2016-12-01
Series:Lietuvos Matematikos Rinkinys
Subjects:
feature extraction
dimensionality reduction
HSCA
Hilbert–Schmidt independence criterion
kernel methods
Online Access:https://www.journals.vu.lt/LMR/article/view/14932

Internet

https://www.journals.vu.lt/LMR/article/view/14932

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