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

 

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Opened Access Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements
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Author: Thiyam, Deepa Beeta
Cruces Álvarez, Sergio Antonio
Olías Sánchez, Francisco Javier
Cichocki, Andrzej
Department: Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones
Date: 2017-02-25
Document type: Article
Abstract: The Alpha-Beta Log-Det divergences for positive definite matrices are flexible divergences that are parameterized by two real constants and are able to specialize several relevant classical cases like the squared Riemannian metric, the Steins loss...
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Size: 684.1Kb
Format: PDF

URI: http://hdl.handle.net/11441/60436

DOI: 10.3390/e19030089

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This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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