4 citations · 15 across the 11 of their papers we have counts for
12 papers
Identification of the heterogeneous conductivity in an inverse heat conduction problem
Angel A. Ciarbonetti, Sergio Idelsohn, Ruben D. Spies
This work deals with the problem of determining a non-homogeneous heat conductivity profile in a steady-state heat conduction boundary-value problem with mixed Dirichlet-Neumann bo…
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
R. E. Rolon, I. E. Gareis, L. D. Larrateguy +3
The obstructive sleep apnea-hypopnea (OSAH) syndrome is a very common and frequently undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or tot…
A multi-class structured dictionary learning method using discriminant atom selection
R. E. Rolón, L. E. Di Persia, R. D. Spies +1
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representa…
Switching divergences for spectral learning in blind speech dereverberation
Francisco Ibarrola, Leandro Di Persia, Ruben Spies
When recorded in an enclosed room, a sound signal will most certainly get affected by reverberation. This not only undermines audio quality, but also poses a problem for many human…
Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation
Francisco J. Ibarrola, Leandro E. Di Persia, Ruben D. Spies
When a signal is recorded in an enclosed room, it typically gets affected by reverberation. This degradation represents a problem when dealing with audio signals, particularly in t…
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification
Victoria Peterson, Hugo Leonardo Rufiner, Ruben Daniel Spies
A brain computer interface (BCI) is a system which provides direct communication between the mind of a person and the outside world by using only brain activity (EEG). The event-re…
Mixed spatially varying -BV regularization of inverse ill-posed problems
Gisela L. Mazzieri, Ruben D. Spies, Karina G. Temperini
Several generalizations of the traditional Tikhonov-Phillips regularization method have been proposed during the last two decades. Many of these generalizations are based upon indu…
Regularization Methods for Ill-Posed Problems in Multiple Hilbert Scales
Gisela L. Mazzieri, Ruben D. Spies
Several convergence results in Hilbert scales under different source conditions are proved and orders of convergence and optimal orders of convergence are derived. Also, relations…
On the existence of global saturation for spectral regularization methods with optimal qualification
Gisela L. Mazzieri, Ruben D. Spies, Karina G. Temperini
A family of real functions {g_α} defining a spectral regularization method with optimal qualification is considered. Sufficient condition on the family and on the optimal qualifica…
Existence, uniqueness and stability of solutions of generalized Tikhonov-Phillips functionals
Gisela L. Mazzieri, Ruben D. Spies, Karina G. Temperini
The Tikhonov-Phillips method is widely used for regularizing ill-posed inverse problems mainly due to the simplicity of its formulation as an optimization problem. The use of diffe…
Global Saturation of Regularization Methods for Inverse Ill-Posed Problems
Terry Herdman, Ruben D. Spies, Karina G. Temperini
In this article the concept of saturation of an arbitrary regularization method is formalized based upon the original idea of saturation for spectral regularization methods introdu…
Generalized Qualification and Qualification Levels for Spectral Regularization Methods
Terry Herdman, Ruben D. Spies, Karina G. Temperini
The concept of qualification for spectral regularization methods for inverse ill-posed problems is strongly associated to the optimal order of convergence of the regularization err…