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...
Main Authors: | Povilas Daniušis, Pranas Vaitkus, Linas Petkevičius |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2016-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/14932 |
Similar Items
-
Nonlinear Dimensionality Reduction Based on HSIC Maximization
by: Zhengming Ma, et al.
Published: (2018-01-01) -
Hilbert-Schmidt Operators vs. Integrable Systems of Elliptic Calogero-Moser Type III. The Heun Case
by: Simon N.M. Ruijsenaars
Published: (2009-04-01) -
Hilbert-Schmidtness of weighted composition operators and their differences on Hardy spaces
by: Ching-on Lo, et al.
Published: (2020-07-01) -
An Estimator of Mutual Information and its Application to Independence Testing
by: Joe Suzuki
Published: (2016-03-01) -
Memory Effects in High-Dimensional Systems Faithfully Identified by Hilbert–Schmidt Speed-Based Witness
by: Kobra Mahdavipour, et al.
Published: (2022-03-01)