Paul Honeine

Orcid: 0000-0002-3042-183X

Affiliations:
  • Université de Rouen Normandie, France


According to our database1, Paul Honeine authored at least 142 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions.
Multim. Tools Appl., April, 2024

Contrastive Learning for Regression on Hyperspectral Data.
CoRR, 2024

2023
Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks.
Sensors, 2023

Unsupervised domain adaptation for regression using dictionary learning.
Knowl. Based Syst., 2023

Graph Normalizing Flows to Pre-image Free Machine Learning for Regression.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023

Bridging Distinct Spaces in Graph-Based Machine Learning.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing.
Remote. Sens., 2022

SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving.
IEEE Robotics Autom. Lett., 2022

Graph kernels based on linear patterns: Theoretical and experimental comparisons.
Expert Syst. Appl., 2022

Effect of Prior-based Losses on Segmentation Performance: A Benchmark.
CoRR, 2022

2021
Symbols Detection and Classification using Graph Neural Networks.
Pattern Recognit. Lett., 2021

graphkit-learn: A Python library for graph kernels based on linear patterns.
Pattern Recognit. Lett., 2021

High-level prior-based loss functions for medical image segmentation: A survey.
Comput. Vis. Image Underst., 2021

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Breaking the Limits of Message Passing Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking.
IEEE Trans. Aerosp. Electron. Syst., 2020

An Evidential Framework for Localization of Sensors in Indoor Environments.
Sensors, 2020

BB-UNet: U-Net With Bounding Box Prior.
IEEE J. Sel. Top. Signal Process., 2020

SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields.
Inf. Process. Manag., 2020

Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian.
Digit. Signal Process., 2020

Statistical learning for sensor localization in wireless networks.
CoRR, 2020

Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks.
CoRR, 2020

Interpretable time series kernel analytics by pre-image estimation.
Artif. Intell., 2020

A Metric Learning Approach to Graph Edit Costs for Regression.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

A Graph Pre-image Method Based on Graph Edit Distances.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

The OmniScape Dataset.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Mixed Integer Programming For Sparse Coding: Application to Image Denoising.
IEEE Trans. Computational Imaging, 2019

Multiple instance learning for histopathological breast cancer image classification.
Expert Syst. Appl., 2019

A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People.
Proceedings of the IEEE Sensors Applications Symposium, 2019

Performance Evaluation of State-of-the-Art Filtering Criteria Applied to SIFT Features.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

2018
One-Class Classification Framework Based on Shrinkage Methods.
J. Signal Process. Syst., 2018

A hierarchical classification method using belief functions.
Signal Process., 2018

A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks.
Proceedings of the 9th IFIP International Conference on New Technologies, 2018

Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS.
Proceedings of the 9th IFIP International Conference on New Technologies, 2018

K-SVD with a Real ℓ0 Optimization: Application to Image Denoising.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach.
Proceedings of the 5th Multidisciplinary International Social Networks Conference, 2018

Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering.
Proceedings of the 26th European Signal Processing Conference, 2018

Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments.
Proceedings of the 26th European Signal Processing Conference, 2018

The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
Correntropy Maximization via ADMM: Application to Robust Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2017

Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Online kernel nonnegative matrix factorization.
Signal Process., 2017

Maximum correntropy unscented filter.
Int. J. Syst. Sci., 2017

Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire.
CoRR, 2017

2016
Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects.
IEEE Trans. Image Process., 2016

Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models.
IEEE Trans. Geosci. Remote. Sens., 2016

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach.
IEEE Trans. Geosci. Remote. Sens., 2016

In-Network Principal Component Analysis with Diffusion Strategies.
Int. J. Wirel. Inf. Networks, 2016

Nonlinear hyperspectral unmixing accounting for spatial illumination variability.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Robust hyperspectral unmixing accounting for residual components.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Zoning-based localization in indoor sensor networks using belief functions theory.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

ADMM for maximum correntropy criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Filtering smooth altimetric signals using a Bayesian algorithm.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Analyzing Sparse Dictionaries for Online Learning With Kernels.
IEEE Trans. Signal Process., 2015

Approximation Errors of Online Sparsification Criteria.
IEEE Trans. Signal Process., 2015

Kernel-based machine learning using radio-fingerprints for localization in wsns.
IEEE Trans. Aerosp. Electron. Syst., 2015

Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks.
Int. J. Distributed Sens. Networks, 2015

Bi-Objective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models.
CoRR, 2015

Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach.
CoRR, 2015

Hyperspectral unmixing accounting for spatial correlations and endmember variability.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Online nonnegative matrix factorization based on kernel machines.
Proceedings of the 23rd European Signal Processing Conference, 2015

Shrinkage methods for one-class classification.
Proceedings of the 23rd European Signal Processing Conference, 2015

Unmixing multitemporal hyperspectral images accounting for endmember variability.
Proceedings of the 23rd European Signal Processing Conference, 2015

Gossip algorithms for principal component analysis in networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Pareto front of bi-objective kernel-based nonnegative matrix factorization.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis.
IEEE Trans. Signal Process., 2014

l<sub>p</sub>-norms in One-Class Classification for Intrusion Detection in SCADA Systems.
IEEE Trans. Ind. Informatics, 2014

Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ<sub>1</sub>-Norm Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens., 2014

Kernel nonnegative matrix factorization without the curse of the pre-image.
CoRR, 2014

Entropy of Overcomplete Kernel Dictionaries.
CoRR, 2014

An eigenanalysis of data centering in machine learning.
CoRR, 2014

Kernel nonnegative matrix factorization without the pre-image problem.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Mahalanobis-based one-class classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Diffusion strategies for in-network principal component analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Mobility using first and second derivatives for kernel-based regression in wireless sensor networks.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2014

Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing.
Proceedings of the 6th International Symposium on Communications, 2014

Ridge regression and Kalman filtering for target tracking in wireless sensor networks.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Strategies for principal component analysis in wireless sensor networks.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures.
Proceedings of the Critical Information Infrastructures Security, 2014

Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs.
Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014

2013
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model.
IEEE Trans. Signal Process., 2013

Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires.
Traitement du Signal, 2013

Polar-Interval-Based Localization in Mobile Sensor Networks.
IEEE Trans. Aerosp. Electron. Syst., 2013

Online Kernel Adaptive Algorithms With Dictionary Adaptation for MIMO Models.
IEEE Signal Process. Lett., 2013

Kernel autoregressive models using Yule-Walker equations.
Signal Process., 2013

Multiclass classification machines with the complexity of a single binary classifier.
Signal Process., 2013

Non-negativity constraints on the pre-image for pattern recognition with kernel machines.
Pattern Recognit., 2013

Constrained reflect-then-combine methods for unmixing hyperspectral data.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Kernel-based localization using fingerprinting in wireless sensor networks.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2013

Intrusion detection in scada systems using one-class classification.
Proceedings of the 21st European Signal Processing Conference, 2013

Decentralized localization using fingerprinting and kernel methods inwireless sensor networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data.
Proceedings of the 21st European Signal Processing Conference, 2013

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
Proceedings of the 21st European Signal Processing Conference, 2013

Contributions en traitement du signal par méthodes d'apprentissage à noyaux. (Contributions to signal processing with kernel-based machine learning).
, 2013

2012
Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach.
IEEE Trans. Geosci. Remote. Sens., 2012

Online Kernel Principal Component Analysis: A Reduced-Order Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Dictionary adaptation for online prediction of time series data with kernels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

One-class machines based on the coherence criterion.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Kernels for time series of exponential decay/growth processes.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

On simple one-class classification methods.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Hyperspectral image unmixing using manifold learning methods derivations and comparative tests.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Prediction of rain attenuation series based on discretized spectral model.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Indoor localization using polar intervals in wireless sensor networks.
Proceedings of the 19th International Conference on Telecommunications, 2012

Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals.
Proceedings of the 19th International Conference on Telecommunications, 2012

Modeling electrocardiogram using Yule-Walker equations and kernel machines.
Proceedings of the 19th International Conference on Telecommunications, 2012

Prediction of time series using Yule-Walker equations with kernels.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A Gaussian process regression approach for testing Granger causality between time series data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Online one-class machines based on the coherence criterion.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
A Closed-form Solution for the Pre-image Problem in Kernel-based Machines.
J. Signal Process. Syst., 2011

Nonnegative Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2011

Stationnarité relative et approches connexes.
Traitement du Signal, 2011

Preimage Problem in Kernel-Based Machine Learning.
IEEE Signal Process. Mag., 2011

PCA and KPCA of ECG signals with binary SVM classification.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

A comparative study of pre-image techniques: The kernel autoregressive case.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

Non-negative pre-image in machine learning for pattern recognition.
Proceedings of the 19th European Signal Processing Conference, 2011

Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

A modified non-negative LMS algorithm and its stochastic behavior analysis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Testing stationarity with surrogates: a time-frequency approach.
IEEE Trans. Signal Process., 2010

A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw., 2010

The angular kernel in machine learning for hyperspectral data classification.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
Proceedings of the IEEE International Conference on Acoustics, 2010

System identification under non-negativity constraints.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Online Prediction of Time Series Data With Kernels.
IEEE Trans. Signal Process., 2009

Functional estimation in Hilbert space for distributed learning in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
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).
PhD thesis, 2007

Time-Frequency Learning Machines.
IEEE Trans. Signal Process., 2007

On-line Nonlinear Sparse Approximation of Functions.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006


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