P. Honeine

发表

Multi-class least squares classification at binary-classification complexity

Zineb Noumir, P. Honeine, C. Richard, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

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).

Kernel-based autoregressive modeling with a pre-image technique

P. Honeine, C. Richard, M. Kallas, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Nonlinear adaptive filtering with Mercer kernels and a coherence-based model reduction criterion

J. Bermudez, P. Honeine, C. Richard, 2007 .

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

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

NONNEGATIVE MATRIX FACTORIZATION BASED ON KERNEL MACHINES

P. Honeine, Fei Zhu, 2015 .

In-network Principal Component Analysis and Diffusion Strategies

P. Honeine, C. Francis, Farah Mourad-Chehade, 2019 .

Kernel-Based Nonlinear Signal Processing

J. Bermudez, P. Honeine, C. Richard, 2015 .

Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods

P. Honeine, C. Richard, Jie Chen, 2013, New Concepts in Imaging: Optical and Statistical Models.

Solving the pre-image problem in kernel machines: A direct method

P. Honeine, C. Richard, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

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.

Detection of Contamination in Water Distribution Network

Zineb Noumir, P. Honeine, C. Richard, 2014 .

Bayesian Filtering of Smooth Signals: Application to Altimetry

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

Entropies of Overcomplete Kernel Dictionaries

P. Honeine, 2016 .

Testing Stationarity With Surrogates: A

P. Honeine, C. Richard, P. Flandrin, 2010 .

SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving

P. Honeine, S. Yogamani, P. Vasseur, 2022, ArXiv.

SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving

P. Honeine, S. Yogamani, P. Vasseur, 2022, ArXiv.

SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving

P. Honeine, S. Yogamani, P. Vasseur, 2022, IEEE Robotics and Automation Letters.

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

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

SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving

P. Honeine, S. Yogamani, P. Vasseur, 2022, IEEE Robotics and Automation Letters.

One-Class Classification Framework Based on Shrinkage Methods

P. Honeine, P. Beauseroy, Patric Nader, 2017, Journal of Signal Processing Systems.

In-Network Principal Component Analysis with Diffusion Strategies

P. Honeine, C. Francis, J. Farah, 2016, International Journal of Wireless Information Networks.

Mixed Integer Programming For Sparse Coding: Application to Image Denoising

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

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).

Breaking the Limits of Message Passing Graph Neural Networks

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

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

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

Multiclass classification machines with the complexity of a single binary classifier

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

An eigenanalysis of data centering in machine learning pdf

Paul Honeine, P. Honeine, 2014, ArXiv.

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

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

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

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

Neighbor Retrieval Visualizer for Monitoring Lifting Cranes

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

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.

Multiple instance learning for histopathological breast cancer image classification

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

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.

Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing

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

ADMM for maximum correntropy criterion

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

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.

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

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

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

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

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

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

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

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

Preimage Problem in Kernel-Based Machine Learning

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

Unsupervised domain adaptation for regression using dictionary learning

P. Honeine, M. Bérar, Antonin Van Exem, 2023, Knowl. Based Syst..

Tracking of Mobile Sensors Using Belief Functions in Indoor Wireless Networks

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

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.

End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing

P. Honeine, M. Bérar, Mohamad Dhaini, 2022, Remote. Sens..

Correntropy-based robust multilayer extreme learning machines

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

Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach

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

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.

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.

Multiple Instance Learning for Histopathological Breast Cancer Images

Paul Honeine, Caroline Petitjean, Laurent Heutte, 2019 .

Graph kernels based on linear patterns: Theoretical and experimental comparisons

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

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.

Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data

Jie Chen, Fei Zhu, Paul Honeine, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People

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

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

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

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

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

Maximum correntropy unscented filter

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

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.

A hierarchical classification method using belief functions

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

Online Prediction of Time Series Data With Kernels

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

BB-UNet: U-Net With Bounding Box Prior

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

Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models

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

Testing Stationarity With Surrogates: A Time-Frequency Approach

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

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

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

Nonnegative Least-Mean-Square Algorithm

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

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 comparative study of semantic segmentation of omnidirectional images from a motorcycle perspective

P. Honeine, P. Vasseur, Y. Dupuis, 2022, Scientific Reports.

Mahalanobis-based one-class classification

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

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).

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

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

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

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

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.

Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks

P. Honeine, A. Bensrhair, Jean-Baptiste Pothin, 2023, Italian National Conference on Sensors.

An Evidential Framework for Localization of Sensors in Indoor Environments

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

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).

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..

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

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

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).

Online Kernel Principal Component Analysis: A Reduced-Order Model

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

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).

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).

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

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

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.

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.

One-Class Classification Framework Based on Shrinkage Methods

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

Shrinkage methods for one-class classification

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

Time-Frequency Learning Machines

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

Kernel autoregressive models using Yule-Walker equations

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

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

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

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).

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

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

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.

Robust hyperspectral unmixing accounting for residual components

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

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).

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.

Symbols Detection and Classification using Graph Neural Networks

P. Honeine, P. Héroux, Sébastien Adam, 2021, Pattern Recognit. Lett..

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).