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Artículo
Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences
(MDPI, 2015-05-08)
This work reviews and extends a family of log-determinant (log-det) divergences for symmetric positive definite (SPD) matrices and discusses their fundamental properties. We show how to use parameterized Alpha-Beta (AB) ...
Artículo
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
(MDPI, 2018-01-02)
Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) technique is a well-established approach to the spatial filtering of the electroencephalogram (EEG) ...
Artículo
Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements
(MDPI, 2017-02-25)
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 ...
Artículo
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization
(Multidisciplinary Digital Publishing Institute, 2011)
We propose a class of multiplicative algorithms for Nonnegative Matrix Factorization (NMF) which are robust with respect to noise and outliers. To achieve this, we formulate a new family generalized divergences referred ...