Karim Seghouane

Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance.

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

Journal article  |  2022  |  IEEE Trans Biomed Eng

OBJECTIVE: In this paper, we aim to address the problem of subspace detection in the presence of locally-correlated complex Gaussi..

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..

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 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 PRINCIPAL COMPONENT ANALYSIS USING ALPHA DIVERGENCE

Aref Miri Rekavandi, Abd-Krim Seghouane

Conference Proceedings  |  2020  |  2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

In this paper, a new robust principal component analysis (RPCA) method which enables us to exploit the main components of a given ..

ROBUST STRUCTURED DICTIONARY LEARNING FOR BLOCK SPARSE REPRESENTATIONS USING alpha-DIVERGENCE

Abd-Krim Seghouane

Conference Proceedings  |  2020  |  2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

Dictionary learning algorithms have been successfully used to solve a variety of signal and image processing problems. In some app..

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..