Paul Honeine

发表

Prediction of rain attenuation series based on discretized spectral model

Jie Chen, Paul Honeine, Cédric Richard, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Non-negative distributed regression for data inference in wireless sensor networks

Paul Honeine, Jie Chen, Cedric Richard, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

Nonlinear unmixing of hyperspectral images based on multi-kernel learning

Jie Chen, Paul Honeine, Cédric Richard, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

Gas Source Parameter Estimation Using Machine Learning in WSNs

Joumana Farah, Hichem Snoussi, Paul Honeine, 2016, IEEE Sensors Journal.

Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks

Hichem Snoussi, Paul Honeine, Cedric Richard, 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

Constrained reflect-then-combine methods for unmixing hyperspectral data

Paul Honeine, Henri Lantéri, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Nonlinear hyperspectral unmixing accounting for spatial illumination variability

Paul Honeine, José M. Bioucas-Dias, Gerald S. Buller, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Stationnarité relative et approches connexes

Paul Honeine, Pierre-Olivier Amblard, Patrick Flandrin, 2011, Traitement du Signal.

Functional estimation in Hilbert space for distributed learning in wireless sensor networks

Hichem Snoussi, Paul Honeine, Cédric Richard, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Kernel autoregressive models using Yule-Walker equations

Paul Honeine, Clovis Francis, Hassan Amoud, 2013, Signal Process..

Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing

Joumana Farah, Paul Honeine, Rita Ammanouil, 2014, 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP).

Robust hyperspectral unmixing accounting for residual components

Paul Honeine, José M. Bioucas-Dias, Abderrahim Halimi, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Multiple Instance Learning for Histopathological Breast Cancer Images

Paul Honeine, Caroline Petitjean, Laurent Heutte, 2019 .

The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2018, BELIEF.

Kernel-based machine learning using radio-fingerprints for localization in wsns

Joumana Farah, Hichem Snoussi, Paul Honeine, 2015, IEEE Transactions on Aerospace and Electronic Systems.

Mod elisation parcimonieuse non lin eaire en ligne par une m ethode a noyau reproduisant et un crit ere de coh erence

Paul Honeine, 2007 .

Kernel nonnegative matrix factorization without the pre-image problem

Paul Honeine, Fei Zhu, Maya Kallas, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Interpretable time series kernel analytics by pre-image estimation

Patrick Gallinari, Paul Honeine, Saeed Varasteh Yazdi, 2020, Artif. Intell..

Performance Evaluation of State-of-the-Art Filtering Criteria Applied to SIFT Features

Paul Honeine, Abdelaziz Bensrhair, Jean-Baptiste Pothin, 2019, 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Preimage Problem in Kernel-Based Machine Learning

Paul Honeine, Cédric Richard, P. Honeine, 2011, IEEE Signal Processing Magazine.

Nonlinear Estimation of Material Abundances in Hyperspectral Images With $\ell_{1}$-Norm Spatial Regularization

Jie Chen, Paul Honeine, Cédric Richard, 2014, IEEE Transactions on Geoscience and Remote Sensing.

System identification under non-negativity constraints

Jie Chen, Paul Honeine, Cédric Richard, 2010, 2010 18th European Signal Processing Conference.

Approche variationnelle à noyau pour le suivi de cibles dans un réseau de capteurs sans fil

Hichem Snoussi, Paul Honeine, Cédric Richard, 2013 .

Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models

Paul Honeine, Fei Zhu, P. Honeine, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Non-negativity constraints on the pre-image for pattern recognition with kernel machines

Paul Honeine, Cédric Richard, Clovis Francis, 2013, Pattern Recognit..

Pareto front of bi-objective kernel-based nonnegative matrix factorization

Paul Honeine, Fei Zhu, 2015, ESANN.

High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey pdf

Paul Honeine, Fahed Abdallah, Veronika Cheplygina, 2020, Comput. Vis. Image Underst..

Diffusion strategies for in-network principal component analysis

Joumana Farah, Paul Honeine, Clovis Francis, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks pdf

Paul Honeine, Benoit Gaüzère, Sébastien Adam, 2020, ArXiv.

A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People

Aly Chkeir, Paul Honeine, Farah Mourad, 2019, 2019 IEEE Sensors Applications Symposium (SAS).

Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance

Paul Honeine, Pierre Beauseroy, Patric Nader, 2015, ESANN.

The angular kernel in machine learning for hyperspectral data classification

Paul Honeine, Cédric Richard, P. Honeine, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Online Prediction of Time Series Data With Kernels

Paul Honeine, Cédric Richard, Régis Lengellé, 2009, IEEE Transactions on Signal Processing.

An eigenanalysis of data centering in machine learning pdf

Paul Honeine, P. Honeine, 2014, ArXiv.

Mobility using first and second derivatives for kernel-based regression in wireless sensor networks

Joumana Farah, Paul Honeine, Clovis Francis, 2014, IWSSIP 2014 Proceedings.

Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering

Paul Honeine, Abdelaziz Bensrhair, Jean-Baptiste Pothin, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

In-Network Principal Component Analysis with Diffusion Strategies

Joumana Farah, Paul Honeine, Clovis Francis, 2016, Int. J. Wirel. Inf. Networks.

Decentralized localization using fingerprinting and kernel methods inwireless sensor networks

Joumana Farah, Hichem Snoussi, Paul Honeine, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex

Paul Honeine, Cédric Richard, P. Honeine, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Surveillance Continue d’Activité et Localisation d’Agressions

Paul Honeine, Pierre Beauseroy, Igor Nikiforov, 2013 .

Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach pdf

Paul Honeine, Cédric Richard, Jean-Yves Tourneret, 2015, ArXiv.

Maximum correntropy unscented filter

Paul Honeine, Xi Liu, Zongze Wu, 2016, Int. J. Syst. Sci..

Testing Stationarity With Surrogates: A Time-Frequency Approach

Paul Honeine, Cédric Richard, Jun Xiao, 2010, IEEE Transactions on Signal Processing.

Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach

Paul Honeine, Cédric Richard, P. Honeine, 2012, IEEE Transactions on Geoscience and Remote Sensing.

${l_p}$-norms in One-Class Classification for Intrusion Detection in SCADA Systems

Paul Honeine, Pierre Beauseroy, Patric Nader, 2014, IEEE Transactions on Industrial Informatics.

A hierarchical classification method using belief functions

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2018, Signal Process..

Statistical learning for sensor localization in wireless networks pdf

Paul Honeine, Daniel Alshamaa, Farah Chehade, 2020, ArXiv.

Decentralized Kernel-Based Localization in Wireless Sensor Networks Using Belief Functions

Paul Honeine, Farah Mourad-Chehade, Daniel Alshamaa, 2019, IEEE Sensors Journal.

Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian

Paul Honeine, Su Ruan, Yuan Liu, 2020, Digit. Signal Process..

Non-negative least-mean-square algorithm

Jie Chen, Paul Honeine, Cédric Richard, 2011 .

Localization in sensor networks - A matrix regression approach

Hichem Snoussi, Paul Honeine, C. Richard, 2008, 2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop.

Modeling electrocardiogram using Yule-Walker equations and kernel machines

Paul Honeine, Cédric Richard, Clovis Francis, 2012, 2012 19th International Conference on Telecommunications (ICT).

Entropy of Overcomplete Kernel Dictionaries pdf

Paul Honeine, 2014, ArXiv.

Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals

Paul Honeine, Clovis Francis, Hassan Amoud, 2012, 2012 19th International Conference on Telecommunications (ICT).

The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures

Paul Honeine, Pierre Beauseroy, Patric Nader, 2014, CRITIS.

Neighbor Retrieval Visualizer for Monitoring Lifting Cranes

Paul Honeine, Mario Eltabach, Samira Mouzoun, 2018, Applied Condition Monitoring.

Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs

Joumana Farah, Hichem Snoussi, Paul Honeine, 2014, 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA).

Kernel nonnegative matrix factorization without the curse of the pre-image pdf

Paul Honeine, Fei Zhu, Maya Kallas, 2014, ArXiv.

An Evidential Framework for Localization of Sensors in Indoor Environments

Aly Chkeir, Paul Honeine, Farah Mourad, 2020, Sensors.

Signal-Dependent Time-Frequency Representations for Classification using a Radially Gaussian Kernel and the Alignment Criterion

Paul Honeine, Cedric Richard, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

ADMM for maximum correntropy criterion

Nanning Zheng, Paul Honeine, Badong Chen, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaire

Paul Honeine, Cédric Richard, Jie Chen, 2013 .

Multiple instance learning for histopathological breast cancer image classification

Luiz Eduardo Soares de Oliveira, Paul Honeine, Caroline Petitjean, 2019, Expert Syst. Appl..

Online nonnegative matrix factorization based on kernel machines

Paul Honeine, Fei Zhu, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Tracking of Mobile Sensors Using Belief Functions in Indoor Wireless Networks

Paul Honeine, Farah Mourad-Chehade, Daniel Alshamaa, 2018, IEEE Sensors Journal.

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach

Paul Honeine, Jean-Yves Tourneret, Abderrahim Halimi, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral image unmixing using manifold learning methods derivations and comparative tests

Paul Honeine, Cédric Richard, Céline Theys, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking

Aly Chkeir, Paul Honeine, Farah Mourad-Chehade, 2020, IEEE Transactions on Aerospace and Electronic Systems.

Time-Frequency Learning Machines

Paul Honeine, Cédric Richard, Patrick Flandrin, 2007, IEEE Transactions on Signal Processing.

Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects

Paul Honeine, José M. Bioucas-Dias, Abderrahim Halimi, 2015, IEEE Transactions on Image Processing.

Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires

Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen, 2013, Traitement du Signal.

Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing

Nanning Zheng, Paul Honeine, Badong Chen, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Shrinkage methods for one-class classification

Paul Honeine, Pierre Beauseroy, Patric Nader, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Mahalanobis-based one-class classification

Paul Honeine, Pierre Beauseroy, Patric Nader, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Detection of cyberattacks in a water distribution system using machine learning techniques

Paul Honeine, Pierre Beauseroy, Patric Nader, 2016, 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC).

Ridge regression and Kalman filtering for target tracking in wireless sensor networks

Joumana Farah, Hichem Snoussi, Paul Honeine, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Gossip algorithms for principal component analysis in networks

Joumana Farah, Paul Honeine, Clovis Francis, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space

Hichem Snoussi, Paul Honeine, Cédric Richard, 2008, 2008 16th European Signal Processing Conference.

Strategies for principal component analysis in wireless sensor networks

Joumana Farah, Paul Honeine, Clovis Francis, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Nonstationary Signal Analysis with Kernel Machines

Paul Honeine, Cédric Richard, Patrick Flandrin, 2010 .

Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach

Paul Honeine, Laurent Vercouter, Nour El Mawass, 2018, MISNC '18.

Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis

Jie Chen, Paul Honeine, Cédric Richard, 2011, 2011 19th European Signal Processing Conference.

Wireless sensor networks in biomedical: Body area networks

Hichem Snoussi, Paul Honeine, Clovis Francis, 2011, International Workshop on Systems, Signal Processing and their Applications, WOSSPA.

Non-negative pre-image in machine learning for pattern recognition

Paul Honeine, Cédric Richard, Clovis Francis, 2011, 2011 19th European Signal Processing Conference.

Intrusion detection in scada systems using one-class classification

Paul Honeine, Pierre Beauseroy, Patric Nader, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Multiclass classification machines with the complexity of a single binary classifier

Paul Honeine, Cédric Richard, Zineb Noumir, 2013, Signal Process..

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression

Jie Chen, Paul Honeine, Cédric Richard, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2018, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Méthodes à noyau pour l'analyse et la décision en environnement non-stationnaire. (Kernel Machines for analysis and decision-making in a non-stationary environment)

Paul Honeine, 2007 .

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity

Paul Honeine, Cédric Richard, Patrick Flandrin, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Localization in Mobile Sensor Networks

Hichem Snoussi, Paul Honeine, Farah Mourad, 2013 .

Contributions en traitement du signal par méthodes d'apprentissage à noyaux. (Contributions to signal processing with kernel-based machine learning)

Paul Honeine, P. Honeine, 2013 .

Prediction of time series using Yule-Walker equations with kernels

Paul Honeine, Cédric Richard, Clovis Francis, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Closed-form Solution for the Pre-image Problem in Kernel-based Machines

Paul Honeine, Cédric Richard, P. Honeine, 2011, J. Signal Process. Syst..

Unmixing multitemporal hyperspectral images accounting for endmember variability

Paul Honeine, Jean-Yves Tourneret, Nicolas Dobigeon, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

A novel kernel-based nonlinear unmixing scheme of hyperspectral images

Jie Chen, Paul Honeine, Cédric Richard, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Online Kernel Principal Component Analysis: A Reduced-Order Model

Paul Honeine, P. Honeine, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Online kernel nonnegative matrix factorization

Paul Honeine, Fei Zhu, 2017, Signal Process..

Online one-class machines based on the coherence criterion

Paul Honeine, Cédric Richard, Zineb Noumir, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm

Jie Chen, Paul Honeine, Cédric Richard, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2018, 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS).

Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach

Paul Honeine, Cédric Richard, Patrick Flandrin, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

PCA and KPCA of ECG signals with binary SVM classification

Paul Honeine, Clovis Francis, Hassan Amoud, 2011, 2011 IEEE Workshop on Signal Processing Systems (SiPS).

Time-frequency learning machines for nonstationarity detection using surrogates

Paul Honeine, Patrick Flandrin, Pierre Borgnat, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks

Jie Chen, Hichem Snoussi, Paul Honeine, 2015, Int. J. Distributed Sens. Networks.

The OmniScape Dataset

Yohan Dupuis, Paul Honeine, Pascal Vasseur, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Correntropy-based robust multilayer extreme learning machines

Paul Honeine, Sun Xia, Chen Liangjun, 2018, Pattern Recognition.

Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry

Paul Honeine, Stephen McLaughlin, Gerald S. Buller, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

On-line Nonlinear Sparse Approximation of Functions

Paul Honeine, Cédric Richard, José Carlos M. Bermudez, 2007, 2007 IEEE International Symposium on Information Theory.

Mixed Integer Programming For Sparse Coding: Application to Image Denoising

Paul Honeine, Stéphane Canu, Yuan Liu, 2019, IEEE Transactions on Computational Imaging.

Filtering smooth altimetric signals using a Bayesian algorithm

Paul Honeine, Gerald S. Buller, Steve McLaughlin, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2018, 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS).

A Gaussian process regression approach for testing Granger causality between time series data

Paul Honeine, Cédric Richard, Olivier J. J. Michel, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

LOCALIZATIONIN SENSOR NETWORKS- A MATRIX REGRESSIONAPPROACH

Hichem Snoussi, Paul Honeine, Cédric Richard, 2008 .

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation

Paul Honeine, Fahed Abdallah, Caroline Petitjean, 2020, 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models

Paul Honeine, Régis Lengellé, Roger Achkar, 2013, IEEE Signal Processing Letters.

K-SVD with a Real ℓ0 Optimization: Application to Image Denoising

Paul Honeine, Stéphane Canu, Yuan Liu, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study

Paul Honeine, Fahed Abdallah, Caroline Petitjean, 2019 .

Polar-Interval-Based Localization in Mobile Sensor Networks

Hichem Snoussi, Paul Honeine, Farah Mourad, 2013, IEEE Transactions on Aerospace and Electronic Systems.

One-Class Classification Framework Based on Shrinkage Methods

Paul Honeine, Pierre Beauseroy, Patric Nader, 2018, J. Signal Process. Syst..

Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire pdf

Paul Honeine, Stéphane Canu, Yuan Liu, 2017, ArXiv.

On simple one-class classification methods

Paul Honeine, Zineb Noumir, Cedue Richard, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Graph kernels based on linear patterns: Theoretical and experimental comparisons

Paul Honeine, Benoit Gaüzère, Linlin Jia, 2019, Expert Syst. Appl..

Hyperspectral unmixing accounting for spatial correlations and endmember variability

Paul Honeine, Jean-Yves Tourneret, Nicolas Dobigeon, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability

Paul Honeine, Jean-Yves Tourneret, Nicolas Dobigeon, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields

Paul Honeine, Laurent Vercouter, Nour El Mawass, 2020, Inf. Process. Manag..

Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model

Jie Chen, Paul Honeine, Cédric Richard, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Zoning-based localization in indoor sensor networks using belief functions theory

Paul Honeine, Farah Mourad, Daniel AlShamaa, 2016, 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model

Hichem Snoussi, Paul Honeine, Cédric Richard, 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

Approximation Errors of Online Sparsification Criteria

Paul Honeine, 2015, IEEE Transactions on Signal Processing.

Nonlinear adaptive filtering using kernel‐based algorithms with dictionary adaptation

Paul Honeine, Régis Lengellé, Cedric Richard, 2015 .

Kernels for time series of exponential decay/growth processes

Paul Honeine, Cédric Richard, Zineb Noumir, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data

Paul Honeine, Cédric Richard, Henri Lantéri, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

A modified non-negative LMS algorithm and its stochastic behavior analysis

Jie Chen, Paul Honeine, Cédric Richard, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis

Jie Chen, Paul Honeine, Cédric Richard, 2014, IEEE Transactions on Signal Processing.

Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model

Jie Chen, Paul Honeine, Cédric Richard, 2013, IEEE Transactions on Signal Processing.

Analyzing Sparse Dictionaries for Online Learning With Kernels

Paul Honeine, 2015, IEEE Transactions on Signal Processing.

Online Prediction of Time Series Data With Kernels

Paul Honeine, Cédric Richard, José Carlos M. Bermudez, 2009, IEEE Trans. Signal Process..

BB-UNet: U-Net With Bounding Box Prior

Paul Honeine, Fahed Abdallah, Caroline Petitjean, 2020, IEEE Journal of Selected Topics in Signal Processing.

Kernel-based localization using fingerprinting in wireless sensor networks

Joumana Farah, Hichem Snoussi, Paul Honeine, 2013, 2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Nonnegative Least-Mean-Square Algorithm

Jie Chen, Paul Honeine, Cédric Richard, 2011, IEEE Transactions on Signal Processing.

Non-Parametric and Semi-Parametric RSSI/Distance Modeling for Target Tracking in Wireless Sensor Networks

Joumana Farah, Hichem Snoussi, Paul Honeine, 2016, IEEE Sensors Journal.

A comparative study of pre-image techniques: The kernel autoregressive case

Paul Honeine, Clovis Francis, Hassan Amoud, 2011, 2011 IEEE Workshop on Signal Processing Systems (SiPS).

Indoor localization using polar intervals in wireless sensor networks

Hichem Snoussi, Paul Honeine, Farah Mourad, 2012, 2012 19th International Conference on Telecommunications (ICT).

A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks

Jie Chen, Hichem Snoussi, Paul Honeine, 2010, EURASIP J. Wirel. Commun. Netw..

Target Tracking Using Machine Learning and Kalman Filter in Wireless Sensor Networks

Joumana Farah, Hichem Snoussi, Paul Honeine, 2014, IEEE Sensors Journal.

Effect of Prior-based Losses on Segmentation Performance: A Benchmark pdf

Paul Honeine, Fahed Abdallah, Veronika Cheplygina, 2022, ArXiv.

High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey

Paul Honeine, Fahed Abdallah, Veronika Cheplygina, 2021, Comput. Vis. Image Underst..

Breaking the Limits of Message Passing Graph Neural Networks

Pascal Vasseur, Paul Honeine, Benoit Gaüzère, 2021, ICML.

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective

Paul Honeine, Benoit Gaüzère, Sébastien Adam, 2021, ICLR.

graphkit-learn: A Python library for graph kernels based on linear patterns

Paul Honeine, Benoit Gaüzère, Linlin Jia, 2021, Pattern Recognit. Lett..

Classification multi-classes au prix d'un classifieur binaire

Paul Honeine, Cédric Richard, Zineb Noumir, 2011 .

A gradient based method for fully constrained least-squares unmixing of hyperspectral images

Paul Honeine, Cedric Richard, Jie Chen, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Nonlinear feature extraction using kernel principal component analysis with non-negative pre-image

Paul Honeine, Cedric Richard, Clovis Francis, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

UNMIXING HYPERSPECTRAL IMAGES ACCOUNTING FOR TEMPORAL AND SPATIAL ENDMEMBER VARIABILITY

Paul Honeine, Jean-Yves Tourneret, Nicolas Dobigeon, 2015 .

Bayesian Filtering of Smooth Signals: Application to Altimetry

Paul Honeine, Gerald S. Buller, Abderrahim Halimi, 2016, 1602.03649.