Paul Honeine
Orcid: 0000-0002-3042-183XAffiliations:
- Université de Rouen Normandie, France
According to our database1,
Paul Honeine
authored at least 144 papers
between 2006 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Support Vector Machines With Uncertainty Option and Incremental Sampling for Kriging.
Expert Syst. J. Knowl. Eng., February, 2025
2024
Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions.
Multim. Tools Appl., April, 2024
Pattern Recognit., 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Indoor Scene Recognition Mechanism Based on Direction-Driven Convolutional Neural Networks.
Sensors, 2023
Knowl. Based Syst., 2023
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
2022
Remote. Sens., 2022
IEEE Robotics Autom. Lett., 2022
Expert Syst. Appl., 2022
2021
Pattern Recognit. Lett., 2021
Pattern Recognit. Lett., 2021
Comput. Vis. Image Underst., 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
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
Sensors, 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
CoRR, 2020
Artif. Intell., 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Proceedings of the Tenth International Conference on Image Processing Theory, 2020
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
IEEE Trans. Computational Imaging, 2019
Expert Syst. Appl., 2019
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
J. Signal Process. Syst., 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
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
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
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
Proceedings of the Belief Functions: Theory and Applications, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
2016
Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects.
IEEE Trans. Image Process., 2016
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
Int. J. Wirel. Inf. Networks, 2016
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
2015
IEEE Trans. Signal Process., 2015
IEEE Trans. Signal Process., 2015
IEEE Trans. Aerosp. Electron. Syst., 2015
Int. J. Distributed Sens. Networks, 2015
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
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
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
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
CoRR, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
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
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
IEEE Trans. Aerosp. Electron. Syst., 2013
IEEE Signal Process. Lett., 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
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
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
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
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
IEEE Trans. Geosci. Remote. Sens., 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
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
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
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
Proceedings of the 19th International Conference on Telecommunications, 2012
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
Proceedings of the 20th European Signal Processing Conference, 2012
2011
J. Signal Process. Syst., 2011
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011
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
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
IEEE Trans. Signal Process., 2010
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw., 2010
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
Proceedings of the 18th European Signal Processing Conference, 2010
2009
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
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
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