Karim Seghouane

Adaptive Learning for Robust Radial Basis Function Networks

Abd-Krim Seghouane, Navid Shokouhi

Journal article  |  2021  |  IEEE TRANSACTIONS ON CYBERNETICS

This article addresses the robust estimation of the output layer linear parameters in a radial basis function network (RBFN). A pr..

Robust Subspace Detectors Based on alpha-Divergence With Application to Detection in Imaging

Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J Evans

Journal article  |  2021  |  IEEE TRANSACTIONS ON IMAGE PROCESSING

Robust variants of Wald, Rao and likelihood ratio (LR) tests for the detection of a signal subspace in a signal interference subsp..

Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging

Vishal Monga, Scott T Acton, Abd-Krim Seghouane, Arrate Munoz-Barrutia, Jong Chul Ye

Journal article  |  2020  |  IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING

Sparsity Preserved Canonical Correlation Analysis

AK Seghouane, MA Qadar

Conference Proceedings  |  2020  |  Proceedings - International Conference on Image Processing, ICIP

Canonical correlation analysis (CCA) describes the relationship between two sets of variables by finding linear combinations of th..

Adaptive Matched Filter using Non-Target Free Training Data

AM Rekavandi, AK Seghouane, RJ Evans

Conference Proceedings  |  2020  |  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

The problem of detecting a subspace signal in colored Gaussian noise with unknown covariance matrix is investigated when the train..

Robust Likelihood Ratio Test Using α-Divergence

AM Rekavandi, AK Seghouane, RJ Evans

Conference Proceedings  |  2020  |  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

The problem of detecting a subspace signal in the presence of subspace interference and contaminated Gaussian noise with unknown v..

Adaptive complex-valued dictionary learning: Application to fMRI data analysis

Asif Iqbal, Mohamed Nait-Meziane, Abd-Krim Seghouane, Karim Abed-Meraim

Journal article  |  2020  |  Signal Processing

Complex-valued signals arise naturally in a wide-range of applications such as radar, magnetic resonance imaging (MRI), functional..

A Projection CCA Method for Effective fMRI Data Analysis.

Muhammad Ali Qadar, Abd-Krim Seghouane

Journal article  |  2019  |  IEEE Transactions on Biomedical Engineering

OBJECTIVE: Canonical correlation analysis (CCA) is a data-driven method that has been successfully used in functional magnetic res..

A alpha-Divergence-Based Approach for Robust Dictionary Learning

Asif Iqbal, Abd-Krim Seghouane

Journal article  |  2019  |  IEEE Transactions on Image Processing

In this paper, a robust sequential dictionary learning (DL) algorithm is presented. The proposed algorithm is motivated from the m..

Two dimensional CCA via penalized matrix decomposition for structure preserved fMRI data analysis

Muhammad Ali Qadar, Abdeldjalil Aissa-El-Bey, Abd-Krim Seghouane

Journal article  |  2019  |  Digital Signal Processing

Two dimensional canonical correlation analysis (2DCCA) is a data driven method that has been used to preserve the local spatial st..