Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements-Reference-Cited by-同舟云学术

Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements

Published:2017-02-25 Issue:3 Volume:19 Page:89
ISSN:1099-4300
Container-title:Entropy
language:en
Short-container-title:Entropy

Author:

Thiyam Deepa,Cruces Sergio,Olias Javier,Cichocki Andrzej

Funder

Ministerio de Economía y Competitividad

Publisher

MDPI AG

Subject

General Physics and Astronomy

Link

http://www.mdpi.com/1099-4300/19/3/89/pdf

Reference62 articles.

1. Divergence-Based Framework for Common Spatial Patterns Algorithms

2. Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

3. Geometric Optimization in Machine Learning Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization;Sra,2016

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