Abd-Krim Seghouane

IEEE Trans. Image Process., 2024

Joint Approximate Partial Diagonalization of Large Matrices.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Full Label: Single-Point Prompt for Infrared Small Target Label Generation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation From RGB Images.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., October, 2023

RBDL: Robust block-Structured dictionary learning for block sparse representation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., August, 2023

TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Robust Subspace Tracking with Contamination Mitigation via α-Divergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Extended Expectation Maximization for Under-Fitted Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2022

A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance.

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Adaptive Learning for Robust Radial Basis Function Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

2020

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

[BibT_eX]

[DOI]

Signal Process., 2020

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

[BibT_eX]

[DOI]

Vishal Monga

Scott T. Acton

Arrate Muñoz-Barrutia

Jong Chul Ye

IEEE J. Sel. Top. Signal Process., 2020

Sparsity Preserved Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Robust Structured Dictionary Learning For Block Sparse Representations Using α-Divergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Robust Principal Component Analysis Using Alpha Divergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Robust Likelihood Ratio Test Using α-Divergence.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Adaptive Matched Filter using Non-Target Free Training Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Robust Hemodynamic Response Function Estimation From fNIRS Signals.

[BibT_eX]

[DOI]

Davide Ferrari

IEEE Trans. Signal Process., 2019

Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Sparse Principal Component Analysis With Preserved Sparsity Pattern.

[BibT_eX]

[DOI]

Inge Koch

IEEE Trans. Image Process., 2019

An α-Divergence-Based Approach for Robust Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2019

A Projection CCA Method for Effective fMRI Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2019

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

[BibT_eX]

[DOI]

Abdeldjalil Aïssa-El-Bey

Digit. Signal Process., 2019

Estimating the Number of Significant Canonical Coordinates.

[BibT_eX]

[DOI]

IEEE Access, 2019

Find the dimension that counts: Fast dimension estimation and Krylov PCA.

[BibT_eX]

[DOI]

Shashanka Ubaru

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Motion Artefact Removal in Functional Near-infrared Spectroscopy Signals Based on Robust Estimation.

[BibT_eX]

[DOI]

Mengmeng Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

Sequential Structured Dictionary Learning for Block Sparse Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Adaptive Subspace Detector in High Dimensional Space with Insufficient Training Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Dictionary Learning Using α-Divergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.

[BibT_eX]

[DOI]

Tülay Adali

IEEE Trans. Biomed. Eng., 2018

Two-Dimensional Whitening of Face Images for Improved PCA Performance.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Hybrid Joint Diagonalization Algorithms.

[BibT_eX]

[DOI]

Mohamed Nait Meziane

Abd-Krim Karim Seghouane

Ammar Mesloub

IEEE Signal Process. Lett., 2018

The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA.

[BibT_eX]

[DOI]

Signal Process., 2018

Consistent adaptive sequential dictionary learning.

[BibT_eX]

[DOI]

Signal Process., 2018

Algorithms for two dimensional multi set canonical correlation analysis.

[BibT_eX]

[DOI]

Nandakishor Desai

Marimuthu Palaniswami

Pattern Recognit. Lett., 2018

A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

PCCA: A Projection CCA Method for Effective FMRI Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Dictionary Learning Algorithm for Multi-Subject Fmri Analysis Via Temporal and Spatial Concatenation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Algorithm for Multi Subject Fmri Analysis Based on the SVD and Penalized Rank-1 Matrix Approximation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Fast Estimation of Approximate Matrix Ranks Using Spectral Densities.

[BibT_eX]

[DOI]

Shashanka Ubaru

Neural Comput., 2017

Improving the Incoherence of a Learned Dictionary via Rank Shrinkage.

[BibT_eX]

[DOI]

Shashanka Ubaru

Neural Comput., 2017

Sparse and smooth canonical correlation analysis through rank-1 matrix approximation.

[BibT_eX]

[DOI]

Abdeldjalil Aïssa-El-Bey

EURASIP J. Adv. Signal Process., 2017

fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift.

[BibT_eX]

[DOI]

Digit. Signal Process., 2017

A regularized sequential dictionary learning algorithm for fmri data analysis.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Multisubject fMRI data analysis via two dimensional multi-set canonical correlation analysis.

[BibT_eX]

[DOI]

Nandakishor Desai

Marimuthu Palaniswami

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

CSMSDL: A common sequential dictionary learning algorithm for multi-subject FMRI data sets analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets.

[BibT_eX]

[DOI]

Nandakishor Desai

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An Approach for Sequential Dictionary Learning in Nonuniform Noise.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models.

[BibT_eX]

[DOI]

Sh-Hussain Salleh

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Learning dictionaries from correlated data: Application to fMRI data analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Sparse canonical correlation analysis based on rank-1 matrix approximation and its application for FMRI signals.

[BibT_eX]

[DOI]

Abdeldjalil Aïssa-El-Bey

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models.

[BibT_eX]

[DOI]

Sheikh Hussain Shaikh Salleh

A. B. Mohd Noor

IEEE Signal Process. Lett., 2015

Is First-Order Vector Autoregressive Model Optimal for fMRI Data?

[BibT_eX]

[DOI]

Sh-Hussain Salleh

Neural Comput., 2015

Consistent estimation of the FMRI hemodynamic response function in AR(1) noise.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-subject fMRI connectivity analysis using sparse dictionary learning and multiset canonical correlation analysis.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A sequential dictionary learning algorithm with enforced sparsity.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Unsupervised detrending technique using sparse dictionary learning for fMRI preprocessing and analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Recovering HRFs from overlapping ROIs in fMRI data using thresholding correlations for sparse dictionary learning.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Sparse dictionary learning for fMRI analysis using autocorrelation maximization.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Non-Local Noise Estimation for Adaptive Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014

An Integrated Framework for Joint HRF and Drift Estimation and HbO/HbR Signal Improvement in fNIRS Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2014

Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition.

[BibT_eX]

[DOI]

Neural Comput., 2014

Estimation of high-dimensional brain connectivity from FMRI data using factor modeling.

[BibT_eX]

[DOI]

Sheikh Hussain Shaikh Salleh

A. B. Mohd Noor

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A model-free approachto increasing the effect size of FNIRS data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A single SVD sparse dictionary learning algorithm for FMRI data analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Maximum likelihood orthogonaldictionary learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Consistent hemodynamic response estimation function in fMRI using sparse prior information.

[BibT_eX]

[DOI]

Leigh A. Johnston

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Constrained maximum likelihood based efficient dictionary learning for fMRI analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

An effective image restoration using Kullback-Leibler divergence minimization.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Blind image deblurring using non-negative sparse approximation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Sparse estimation of the hemodynamic response functionin functional near infrared spectroscopy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Model-free optimal de-drifting and enhanced detection in fMRI data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Estimation of hemodynamic response functions for un-delineated overlapping rois in fMRI data based on sparse dictionary learning.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Consistent hemodynamic response function estimation in functional MRI by first order differencing.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

An EM-based hybrid Fourier-wavelet image deconvolution algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Consistent estimation of the hemodynamic response function in fNIRS.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative Minimization of the Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2012

Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity.

[BibT_eX]

[DOI]

Shun-ichi Amari

Neural Comput., 2012

FMRI activation detection using a variant of Akaike information criterion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Hierarchical sparse brain network estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A Kullback-Leibler divergence approach for wavelet-based blind image deconvolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Comparing causality measures of fMRI data using PCA, CCA and vector autoregressive modelling.

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Functional brain connectivity as revealed by singular spectrum analysis.

[BibT_eX]

[DOI]

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Adaptive 2DCCA Based Approach for Improving Spatial Specificity of Activation Detection in Functional MRI.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

2011

A Kullback-Leibler Divergence Approach to Blind Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

A Kullback-Leibler Methodology for Unconditional ML DOA Estimation in Unknown Nonuniform Noise.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2011

New AIC Corrected Variants for Multivariate Linear Regression Model Selection.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2011

Feature selection using mutual information in CT colonography.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2011

Quantifying information flowin fMRI using the Kullbakc-Leibler divergence.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Asymptotic bootstrap corrections of AIC for linear regression models.

[BibT_eX]

[DOI]

Signal Process., 2010

A Bayesian model selection approach to fMRI activation detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Efficient feature selection for polyp detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Geodesic-ring based curvature maps for polyp detection in CT colonography.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

Maximum likelihood blind image restoration via alternating minimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

2009

Model Selection Criteria for Image Restoration.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

False Positive Reduction in CT Colonography Using Spectral Compression and Curvature Tensor Smoothing of Surface Geometry.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays.

[BibT_eX]

[DOI]

Martin Kleinsteuber

IEEE Trans. Signal Process., 2008

A Note on Image Restoration Using and MSE.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2008

Polyp detection in CT colonography based on shape characteristics and Kullback-Leibler divergence.

[BibT_eX]

[DOI]

Kevin Osborn

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Mean Shape Models for Polyp Detection in CT Colonography.

[BibT_eX]

[DOI]

Kevin Osborn

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

2007

The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

Shun-ichi Amari

IEEE Trans. Neural Networks, 2007

Bayesian estimation of the number of principal components.

[BibT_eX]

[DOI]

Andrzej Cichocki

Signal Process., 2007

A corrected version of KIC for robust model selection in small samples.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

2006

Vector Autoregressive Model-Order Selection From Finite Samples Using Kullback's Symmetric Divergence.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2006

A note on overfitting properties of KIC and KIC<sub>c</sub>.

[BibT_eX]

[DOI]

Signal Process., 2006

Multivariate regression model selection from small samples using Kullback's symmetric divergence.

[BibT_eX]

[DOI]

Signal Process., 2006

A model selection approach to signal denoising using Kullback's symmetric divergence.

[BibT_eX]

[DOI]

Signal Process., 2006

Local Convergence Properties of Fastica and Some Generalisations.

[BibT_eX]

[DOI]

Knut Hüper

Hao Shen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence.

[BibT_eX]

[DOI]

Maïza Bekara

Signal Process., 2005

A criterion for vector autoregressive model selection based on Kullback's symmetric divergence.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

A small sample model selection criterion based on Kullback's symmetric divergence.

[BibT_eX]

[DOI]

Maïza Bekara

IEEE Trans. Signal Process., 2004

Regularizing the effect of input noise injection in feedforward neural networks training.

[BibT_eX]

[DOI]

Yassir Moudden

Neural Comput. Appl., 2004

2003

A small sample model selection criterion based on Kullback's symmetric divergence.

[BibT_eX]

[DOI]

Maïza Bekara

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Extraction of peak pressure position information from the spark-plug ionization signal.

[BibT_eX]

[DOI]

Yassir Moudden

Olivier Boubal

Comput. Stand. Interfaces, 2002

On learning feedforward neural networks with noise injection into inputs.

[BibT_eX]

[DOI]

Yassir Moudden

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

2001

A cost function for learning feedforward neural networks subject to noisy inputs.

[BibT_eX]

[DOI]