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206

Paul Honeine


Journal articles53 documents

  • Linlin Jia, Benoit Gaüzère, Paul Honeine. graphkit-learn: A Python Library for Graph Kernels Based on Linear Patterns. Pattern Recognition Letters, Elsevier, 2021, 143. ⟨hal-03111016⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir. An Evidential Framework for Localization of Sensors in Indoor Environments. Sensors, MDPI, 2020, 20 (1), pp.318. ⟨10.3390/s20010318⟩. ⟨hal-02433601⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine, Aly Chkeir. Fusion of Multiple Mobility and Observation Models for Indoor Zoning-based Sensor Tracking. IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TAES.2020.2988837⟩. ⟨hal-02551521⟩
  • Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah. BB-UNet: U-Net with Bounding Box Prior. IEEE Journal of Selected Topics in Signal Processing, IEEE, In press. ⟨hal-02863197⟩
  • Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan. Incoherent Dictionary Learning via Mixed-integer Programming and Hybrid Augmented Lagrangian. Digital Signal Processing, Elsevier, 2020, 101, pp.102703. ⟨10.1016/j.dsp.2020.102703⟩. ⟨hal-03088292⟩
  • Nour El-Mawass, Paul Honeine, Laurent Vercouter. SimilCatch: Enhanced social spammers detection on Twitter using Markov Random Fields. Information processing & management, [Oxford]: Elsevier Ltd., 2020, 57 (6), pp.102317. ⟨10.1016/j.ipm.2020.102317⟩. ⟨hal-03088293⟩
  • Thi Phuong Thao Tran, Ahlame Douzal-Chouakria, Saeed Varasteh Yazdi, Paul Honeine, Patrick Gallinari. Interpretable time series kernel analytics by pre-image estimation. Artificial Intelligence, Elsevier, 2020, 286, pp.103342. ⟨10.1016/j.artint.2020.103342⟩. ⟨hal-03088295⟩
  • Yuan Liu, Stephane Canu, Paul Honeine, Su Ruan. Mixed Integer Programming for Sparse Coding: Application to Image Denoising. IEEE Transactions on Computational Imaging, IEEE, In press, pp.1-1. ⟨10.1109/TCI.2019.2896790⟩. ⟨hal-02183028⟩
  • P J Sudharshana, Caroline Petitjean, Fabio Spanhol, Luís Oliveira, Laurent Heutte, et al.. Multiple Instance Learning for Histopathological Breast Cancer Images. Expert Systems With Applications, 2019, 117, pp.103-111. ⟨hal-01965039⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Decentralized Kernel-Based Localization in Wireless Sensor Networks Using Belief Functions. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2019, 19 (11), pp.4149-4159. ⟨10.1109/JSEN.2019.2898106⟩. ⟨hal-02307466⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. A Hierarchical Classification Method Using Belief Functions. Signal Processing, Elsevier, 2018, 148, pp.68 - 77. ⟨10.1016/j.sigpro.2018.02.021⟩. ⟨hal-01965041⟩
  • Chen Liangjun, Paul Honeine, Qu Hua, Zhao Jihong, Sun Xia. Correntropy-based Robust Multilayer Extreme Learning Machines. Pattern Recognition, Elsevier, 2018, 84, pp.357 - 370. ⟨hal-01965040⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Tracking of Mobile Sensors Using Belief Functions in Indoor Wireless Networks. IEEE Sensors Journal, 2018, 18 (1), pp.310-319. ⟨10.1109/JSEN.2017.2766630⟩. ⟨hal-01965042⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. One-Class Classification Framework Based on Shrinkage Methods. Journal of Signal Processing Systems, 2018, 90 (3), pp.341 - 356. ⟨hal-01965053⟩
  • Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng. Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2017, 55 (9), pp.1-12. ⟨hal-01965043⟩
  • Fei Zhu, Paul Honeine. Online Kernel Nonnegative Matrix Factorization. Signal Processing, Elsevier, 2017, 131, pp.143 - 153. ⟨hal-01965046⟩
  • Abderrahim Halimi, Gerald S. Buller, Steve Mclaughlin, Paul Honeine. Denoising Smooth Signals Using a Bayesian Approach: Application to Altimetry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2017, 10 (4), pp.1278 - 1289. ⟨hal-01965045⟩
  • Xi Liu, Badong Chen, Bin Xu, Zongze Wu, Paul Honeine. Maximum Correntropy Unscented Filter. International Journal of Systems Science, Taylor & Francis, 2017, 48 (8), pp.1607-1615. ⟨hal-01965044⟩
  • Abderrahim Halimi, Paul Honeine, José Bioucas-Dias. Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity or Mismodelling Effects. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2016, 25 (10), pp.4565 - 4579. ⟨hal-01965047⟩
  • Paul Honeine. Entropy of Overcomplete Kernel Dictionaries. Bulletin of Mathematical Sciences and Applications, 2016, 16, pp.1 - 19. ⟨hal-01965563⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Non-parametric and semi-parametric RSSI/distance modeling for target tracking in wireless sensor networks. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2016, 16 (7), pp.2115 - 2126. ⟨10.1109/JSEN.2015.2510020⟩. ⟨hal-01965051⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Gas Sources Parameters Estimation Using Machine Learning in WSNs. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2016, 16 (14), pp.5795 - 5804. ⟨10.1109/JSEN.2016.2569559⟩. ⟨hal-01965049⟩
  • Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah. In-network Principal Component Analysis with Diffusion Strategies. International Journal of Wireless Information Networks, Springer Verlag, 2016, 23 (2), pp.97 - 111. ⟨10.1007/s10776-016-0308-1⟩. ⟨hal-01965050⟩
  • Fei Zhu, Paul Honeine. Bi-objective Nonnegative Matrix Factorization: Linear Versus Kernel-based Models. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, 54 (7), pp.4012 - 4022. ⟨10.1109/TGRS.2016.2535298⟩. ⟨hal-01965048⟩
  • Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret. Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016, vol. 54 (n° 7), pp.3811-3821. ⟨10.1109/TGRS.2016.2528298⟩. ⟨hal-01325467⟩
  • Paul Honeine. Approximation errors of online sparsification criteria. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 63 (17), pp.4700 - 4709. ⟨10.1109/TSP.2015.2442960⟩. ⟨hal-01965565⟩
  • Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar. Nonlinear Adaptive Filtering using Kernel-based Algorithms with Dictionary Adaptation. International Journal of Adaptive Control and Signal Processing, Wiley, 2015, 29 (11), pp.1391-1410. ⟨10.1002/acs.2548⟩. ⟨hal-01965566⟩
  • Paul Honeine. Analyzing sparse dictionaries for online learning with kernels. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 63 (23), pp.6343 - 6353. ⟨10.1109/TSP.2015.2457396⟩. ⟨hal-01965568⟩
  • Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi. Abnormal event detection via multikernel learning for distributed camera networks. International Journal of Distributed Sensor Networks, Hindawi Publishing Corporation, 2015, 2015 (Article ID 989450), pp.1-9. ⟨10.1155/2015/989450⟩. ⟨hal-01965567⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Kernel-based machine learning using radio-fingerprints for localization in WSNs. IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2015, 51 (2), pp.1324 - 1336. ⟨10.1109/TAES.2015.140061⟩. ⟨hal-01965564⟩
  • Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine. Variants of non-negative least-mean-square algorithm and convergence analysis. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2014, 62 (15), pp.3990 - 4005. ⟨10.1109/TSP.2014.2332440⟩. ⟨hal-01965572⟩
  • Jie Chen, Cédric Richard, Paul Honeine. Nonlinear estimation of material abundances in hyperspectral images with L₁-norm spatial regularization. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2014, 52 (5), pp.2654 - 2665. ⟨10.1109/TGRS.2013.2264392⟩. ⟨hal-01965569⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Target tracking using machine learning and Kalman filter in wireless sensor networks. IEEE Sensors Journal, Institute of Electrical and Electronics Engineers, 2014, 14 (10), pp.3715 - 3725. ⟨10.1109/JSEN.2014.2332098⟩. ⟨hal-01965571⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. Lp-norms in One-Class Classification for Intrusion Detection in SCADA Systems. IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2014, 10 (4), pp.2308 - 2317. ⟨10.1109/TII.2014.2330796⟩. ⟨hal-01965570⟩
  • Paul Honeine, Zineb Noumir, Cédric Richard. Multiclass classification machines with the complexity of a single binary classifier. Signal Processing, Elsevier, 2013, 93 (5), pp.1013 - 1026. ⟨10.1016/j.sigpro.2012.11.009⟩. ⟨hal-01965575⟩
  • Jie Chen, Cédric Richard, Paul Honeine. Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2013, 61 (2), pp.480 - 492. ⟨10.1109/TSP.2012.2222390⟩. ⟨hal-01965573⟩
  • Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud. Kernel autoregressive models using Yule-Walker equations. Signal Processing, Elsevier, 2013, 93 (11), pp.3053 - 3061. ⟨10.1016/j.sigpro.2013.03.032⟩. ⟨hal-01965577⟩
  • Nguyen Hoang Nguyen, Jie Chen, Cédric Richard, Paul Honeine, Céline Theys. Supervised nonlinear unmixing of hyperspectral images using a pre-image method. EAS Publications Series, EDP Sciences, 2013, EAS Publications Series, 59, pp.417 - 437. ⟨10.1051/eas/1359019⟩. ⟨hal-01964950⟩
  • Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud. Non-negativity constraints on the pre-image for pattern recognition with kernel machines. Pattern Recognition, Elsevier, 2013, 46 (11), pp.3066 - 3080. ⟨10.1016/j.patcog.2013.03.021⟩. ⟨hal-01965576⟩
  • Farah Mourad-Chehade, Paul Honeine, Hichem Snoussi. Polar interval-based localization in mobile sensor networks. IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2013, 49 (4), pp.2310 - 2322. ⟨10.1109/TAES.2013.6621818⟩. ⟨hal-01965579⟩
  • Chafic Saidé, Régis Lengellé, Paul Honeine, Roger Achkar. Online kernel adaptive algorithms with dictionary adaptation for MIMO models. IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2013, 20 (5), pp.535 - 538. ⟨10.1109/LSP.2013.2254711⟩. ⟨hal-01965578⟩
  • Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen. Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales. Extensions aux modèles de mélange non linéaires. Traitement du Signal, Lavoisier, 2013, 30 (1-2), pp.61 - 86. ⟨10.3166/ts.30.61-86⟩. ⟨hal-01965574⟩
  • Paul Honeine. Online kernel principal component analysis: a reduced-order model. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2012, 34 (9), pp.1814 - 1826. ⟨10.1109/TPAMI.2011.270⟩. ⟨hal-01965581⟩
  • Paul Honeine, Cédric Richard. Geometric unmixing of large hyperspectral images: a barycentric coordinate approach. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2012, 50 (6), pp.2185 - 2195. ⟨10.1109/TGRS.2011.2170999⟩. ⟨hal-01965580⟩
  • Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Hassan Amoud, et al.. Stationnarité relative et approches connexes. Traitement du Signal, Lavoisier, 2011, 28 (6), pp.691 - 716. ⟨10.3166/ts.28.691-716⟩. ⟨hal-01965583⟩
  • Paul Honeine, Cédric Richard. Preimage problem in kernel-based machine learning. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2011, 28 (2), pp.77 - 88. ⟨10.1109/MSP.2010.939747⟩. ⟨hal-01965582⟩
  • Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine. Non-negative least-mean-square algorithm. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2011, 59 (11), pp.5225 - 5235. ⟨10.1109/TSP.2011.2162508⟩. ⟨hal-01965584⟩
  • Paul Honeine, Cédric Richard. A closed-form solution for the pre-image problem in kernel-based machines. Journal of Signal Processing Systems, Springer, 2011, 65 (3), pp.289 - 299. ⟨10.1007/s11265-010-0482-9⟩. ⟨hal-01965585⟩
  • Paul Honeine, Cédric Richard, José C. M. Bermudez, Jie Chen, Hichem Snoussi. A decentralized approach for non-linear prediction of time series data in sensor networks. Journal on Wireless Communications and Networking, 2010, Special issue on theoretical and algorithmic foundations of wireless ad hoc and sensor networks, pp.12:1 - 12:12. ⟨10.1155/2010/627372⟩. ⟨hal-01965586⟩
  • Pierre Borgnat, Patrick Flandrin, Paul Honeine, Cédric Richard, Jun Xiao. Testing Stationarity with Surrogates: A Time-Frequency Approach. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2010, pp.3459-3470. ⟨10.1109/TSP.2010.2043971⟩. ⟨ensl-00475929⟩
  • Cédric Richard, José C. M. Bermudez, Paul Honeine. Online prediction of time series data with kernels. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2009, 57 (3), pp.1058 -1067. ⟨10.1109/TSP.2008.2009895⟩. ⟨hal-01965587⟩
  • Paul Honeine, Cédric Richard. Distribution temps-fréquence à paramétrisation radialement Gaussienne optimisée pour la classification. Traitement du Signal, Lavoisier, 2008. ⟨hal-01965588⟩
  • Paul Honeine, Cédric Richard, Patrick Flandrin. Time-Frequency Learning Machines. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2007, 55 (7), pp.3930-3936. ⟨10.1109/TSP.2007.894252⟩. ⟨hal-02111309⟩

Conference papers134 documents

  • Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine. A Metric Learning Approach to Graph Edit Costs for Regression. Proceedings of IAPR Joint International Workshops on Statistical techniques in Pattern Recognition (SPR 2020) and Structural and Syntactic Pattern Recognition (SSPR 2020), Jan 2021, Venise, Italy. ⟨hal-03128664⟩
  • Linlin Jia, Benoit Gaüzère, Paul Honeine. A Graph Pre-image Method Based on Graph Edit Distances. Proceedings of IAPR Joint International Workshops on Statistical techniques in Pattern Recognition (SPR 2020) and Structural and Syntactic Pattern Recognition (SSPR 2020)., Jan 2021, Venise, Italy. ⟨hal-03128660v2⟩
  • Muhammet Balcilar, Renton Guillaume, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, et al.. Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective. Proceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria. ⟨hal-03135633⟩
  • Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine. The OmniScape Dataset. 2020 IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. pp.1603-1608, ⟨10.1109/ICRA40945.2020.9197144⟩. ⟨hal-03088300⟩
  • Ahmed Rida Sekkat, Yohan Dupuis, Paul Honeine, Pascal Vasseur. A comparative study of semantic segmentation using omnidirectional images. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2020, Vannes, France. ⟨hal-03088368⟩
  • Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, et al.. Spectral-designed depthwise separable graph neural networks. Proceedings of Thirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria. ⟨hal-03088372⟩
  • Fei Zhu, Paul Honeine, Jie Chen. PIXEL-WISE LINEAR/NONLINEAR NONNEGATIVE MATRIX FACTORIZATION FOR UNMIXING OF HYPERSPECTRAL DATA. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.4737-4741, ⟨10.1109/ICASSP40776.2020.9053239⟩. ⟨hal-03088297⟩
  • Balcilar Muhammet, Renton Guillaume, Héroux Pierre, Gaüzère Benoit, Adam Sébastien, et al.. When Spectral Domain Meets Spatial Domain in Graph Neural Networks. Thirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria. ⟨hal-03088374⟩
  • Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah. Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-5, ⟨10.1109/IPTA50016.2020.9286633⟩. ⟨hal-03088385⟩
  • Yuan Liu, Stephane Canu, Paul Honeine, Su Ruan. Apprentissage de dictionnaire faiblement cohérent par programmation quadratique mixte. 27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02183029⟩
  • Daniel Alshamaa, Aly Chkeir, Farah Mourad-Chehade, Paul Honeine. A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People. 2019 IEEE Sensors Applications Symposium (SAS), Mar 2019, Sophia Antipolis, France. ⟨10.1109/SAS.2019.8706002⟩. ⟨hal-01995170⟩
  • Silvère Konlambigue, Paul Honeine, Jean-Baptiste Pothin, Abdelaziz Bensrhair. Performance Evaluation of State-of-the-art Filtering Criteria Applied to SIFT Features. 19th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Dec 2019, Ajman, United Arab Emirates. ⟨hal-02343564⟩
  • Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah. Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study. 27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02183031⟩
  • Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine. Génération d'images omnidirectionnelles à partir d'un environnement virtuel. 27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02183033⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Statistical learning for sensor localization in wireless networks. International workshop on Optimization and Learning: Challenges and Applications (OLA 2018), Feb 2018, Alicante, Spain. ⟨hal-02563830⟩
  • Nour El-Mawass, Paul Honeine, Laurent Vercouter. Champ Aléatoire de Markov pour la Détection Supervisée des Comptes Malicieux sur Twitter. 20-ème Conférence d'Apprentissage automatique (CAp), Jun 2018, Rouen, France. ⟨hal-02334326⟩
  • Paul Honeine, Samira Mouzoun, Mario Eltabach. Neighbor Retrieval Visualizer for Monitoring Lifting Cranes. Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proc. 6th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, 2018, Santander, Spain. ⟨hal-01965902⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks. Proc. 9th IFIP International Conference on New Technologies, Mobility and Security, 2018, Paris, France. ⟨10.1109/NTMS.2018.8328704⟩. ⟨hal-01965903⟩
  • Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan. K-SVD with a real L0 optimization: application to image denoising. Proc. 28th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2018, Aalborg, Denmark. pp.1 - 6, ⟨10.1109/MLSP.2018.8517064⟩. ⟨hal-01965904⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. A Weighted Kernel-based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks. Proc. 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018, Kalamata, Greece. ⟨10.1109/SPAWC.2018.8445918⟩. ⟨hal-01965905⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS. Proc. 9th IFIP International Conference on New Technologies, Mobility and Security - Workshop on Wireless Sensor Networks: Architectures, Deployments, and Trends, 2018, Paris, France. ⟨10.1109/NTMS.2018.8328699⟩. ⟨hal-01965906⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks. Proc. 5th International Conference on Belief Functions (BELIEF 2018): Belief Functions: Theory and Applications, 2018, Compiègne, France. pp.10--13, ⟨10.1007/978-3-319-99383-6_2⟩. ⟨hal-01965907⟩
  • Silvère Konlambigue, Jean-Baptiste Pothin, Paul Honeine, Abdelaziz Bensrhair. Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering. Proc. 25rd European Conference on Signal Processing (EUSIPCO), 2018, Rome, Italy. pp.400-404, ⟨10.23919/EUSIPCO.2018.8553321⟩. ⟨hal-01965908⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor Environments. Proc. 25rd European Conference on Signal Processing (EUSIPCO), 2018, Rome, Italy. pp.2300-2304, ⟨10.23919/EUSIPCO.2018.8553020⟩. ⟨hal-01965909⟩
  • Nour El-Mawass, Paul Honeine, Laurent Vercouter. Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach. Proc. the 5th multidisciplinary international social networks conference, 2018, Saint-Etienne, France. pp.14:1 - 14:8, ⟨10.1145/3227696.3227712⟩. ⟨hal-01965910⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Classification paramétrique multi-classes à croyance. Actes du 26-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2017, Juan-Les-Pins, France. ⟨hal-01965911⟩
  • Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan. Une véritable approche L0 pour l'apprentissage de dictionnaire. Actes du 26-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2017, Juan-Les-Pins, France. ⟨hal-01965912⟩
  • Abderrahim Halimi, Paul Honeine, José Bioucas-Dias. Robust hyperspectral unmixing accounting for residual components. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2016, Palma de Mallorca, Spain. ⟨10.1109/SSP.2016.7551848⟩. ⟨hal-01965913⟩
  • Daniel Alshamaa, Farah Mourad-Chehade, Paul Honeine. Zoning-based Localization in Indoor Sensor Networks Using Belief Functions Theory. Proc. 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016, Edinburgh, UK, Unknown Region. ⟨10.1109/SPAWC.2016.7536787⟩. ⟨hal-01965915⟩
  • Fei Zhu, Abderrahim Halimi, Paul Honeine, Badong Chen, Nanning Zheng. ADMM for Maximum Correntropy Criterion. Proc. 28th (INNS and IEEE-CIS) International Joint Conference on Neural Networks, 2016, Vancouver, Canada. pp.1420-1427, ⟨10.1109/IJCNN.2016.7727365⟩. ⟨hal-01965916⟩
  • Abderrahim Halimi, Gerald S. Buller, Steve Mclaughlin, Paul Honeine. Filtering smooth altimetric signals using a Bayesian algorithm. Proc. 23rd European Conference on Signal Processing (EUSIPCO), 2016, Budapest, Hungary. pp.2385-2389, ⟨10.1109/EUSIPCO.2016.7760676⟩. ⟨hal-01965917⟩
  • Abderrahim Halimi, Paul Honeine, José Bioucas-Dias, Gerald S. Buller, Steve Mclaughlin. Nonlinear hyperspectral unmixing accounting for spatial illumination variability. Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016, Los Angeles, CA, United States. ⟨10.1109/WHISPERS.2016.8071750⟩. ⟨hal-01965918⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. Detection of cyberattacks in a water distribution system using machine learning techniques. Proc. sixth International Conference on Digital Information Processing and Communications, 2016, Beirut, Lebanon. pp.25-30, ⟨10.1109/ICDIPC.2016.7470786⟩. ⟨hal-01965914⟩
  • Paul Honeine, Fei Zhu. Eviter la malédiction de pré-image : application à la factorisation en matrices non négatives à noyaux. Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France. ⟨hal-01965984⟩
  • Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Clovis Francis. Gossip algorithms for principal component analysis in networks. Proc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.2366-2370, ⟨10.1109/EUSIPCO.2015.7362808⟩. ⟨hal-01965985⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Modèle semi-paramétrique RSSI/distance pour le suivi d'une cible dans les réseaux de capteurs sans fil. Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France. ⟨hal-01965988⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. Shrinkage methods for one-class classification. Proc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.135-139, ⟨10.1109/EUSIPCO.2015.7362360⟩. ⟨hal-01965989⟩
  • Fei Zhu, Paul Honeine. Pareto front of bi-objective kernel-based nonnegative matrix factorization. Proc. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2015, Bruges, Belgium. pp.585 - 590. ⟨hal-01965982⟩
  • Fei Zhu, Paul Honeine. Online nonnegative matrix factorization based on kernel machines. Proc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.2381 - 2385, ⟨10.1109/EUSIPCO.2015.7362811⟩. ⟨hal-01965987⟩
  • Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine. A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability. ICASSP 2015, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2015, Brisbane, Australia. pp.2469-2473, ⟨10.1109/ICASSP.2015.7178415⟩. ⟨hal-01387760⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. Proc. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2015, Bruges, Belgium. pp.567 - 572. ⟨hal-01965983⟩
  • Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Stephen Mclaughlin, Paul Honeine. Unmixing multitemporal hyperspectral images accounting for endmember variability. 23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 1686-1690. ⟨hal-01363316⟩
  • Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret. Estimation de la dimension intrinsèque des images hyperspectrales à l'aide d'un modèle à variances isolées. Actes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France. ⟨hal-01965986⟩
  • Abderrahim Halimi, Nicolas Dobigeon, Jean-Yves Tourneret, Paul Honeine. Hyperspectral unmixing accounting for spatial correlations and endmember variability. 7th IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-4. ⟨hal-01377331⟩
  • Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah. Strategies for principal component analysis in wireless sensor networks. 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), Jun 2014, A Coruna, Spain. pp.233-236, ⟨10.1109/SAM.2014.6882383⟩. ⟨hal-01965990⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Ridge regression and Kalman filtering for target tracking in wireless sensor networks. Proc. eighth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014, A Coruna, Spain. pp.237-240, ⟨10.1109/SAM.2014.6882384⟩. ⟨hal-01965991⟩
  • Rita Ammanouil, Jean Abou Melhem, Joumana Farah, Paul Honeine. Spectral partitioning and fusion techniques for hyperspectral data classification and unmixing. Proc. 6th International Symposium on Communications, Control, and Signal Processing (ISCCSP), 2014, Athens, Greece. pp.550-553, ⟨10.1109/ISCCSP.2014.6877934⟩. ⟨hal-01965992⟩
  • Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah. Diffusion Strategies For In-Network Principal Component Analysis. Proc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2014, Reims, France. pp.1 - 6, ⟨10.1109/MLSP.2014.6958849⟩. ⟨hal-01965993⟩
  • Nisrine Ghadban, Paul Honeine, Farah Mourad-Chehade, Clovis Francis, Joumana Farah. Mobility using first and second derivatives for kernel-based regression in wireless sensor networks. Proc. 21st International Conference on Systems, Signals and Image Processing, 2014, Dubrovnik, Croatia. pp.203-206. ⟨hal-01965994⟩
  • Sandy Mahfouz, Paul Honeine, Farah Mourad-Chehade, Joumana Farah, Hichem Snoussi. Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNs. Proc. 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014, Doha, Qatar. pp.413-419, ⟨10.1109/AICCSA.2014.7073228⟩. ⟨hal-01965996⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. Proc. 9th International Conference on Critical Information Infrastructures Security, 2014, Limassol, Cyprus. ⟨hal-01965997⟩
  • Fei Zhu, Paul Honeine, Maya Kallas. Kernel non-negative matrix factorization without the pre-image problem. 24th IEEE Workshop on Machine Learning for Signal Processing, MLSP 2014, Sep 2014, Reims, France. ⟨10.1109/MLSP.2014.6958910⟩. ⟨hal-01965998⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. Mahalanobis-Based One-Class Classification. Proc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2014, Reims, France. pp.1 - 6, ⟨10.1109/MLSP.2014.6958934⟩. ⟨hal-01965995⟩
  • Jie Chen, Nicolas Dobigeon, Abderrahim Halimi, Paul Honeiné, Cédric Richard, et al.. Démélange non-linéaire d'images hyperspectrales : mythe ou réalité ?. 3ème colloque scientifique de la SFPT-GH - 2014, May 2014, Porquerolles, France. ⟨hal-02967890⟩
  • Francis Campan, Blaise Kévin Guépié, Zineb Noumir, Paul Honeine, Igor Nikiforov, et al.. Vigires’eau : système de surveillance en temps réel de la qualité de l’eau potable d’un réseau de distribution en vue de la détection d’intrusion. Workshop Interdisciplinaire sur la Sécurité Globale (WISG 2013), Jan 2013, Troyes, France. ⟨hal-02632188⟩
  • Jie Chen, Cédric Richard, Paul Honeine. Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model. Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2013, Gainesville, Florida, USA, United States. ⟨10.1109/WHISPERS.2013.8080639⟩. ⟨hal-01965999⟩
  • Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine. Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaire. Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2013, Brest, France. ⟨hal-01966002⟩
  • Jie Chen, Cédric Richard, André Ferrari, Paul Honeine. Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. Proc. 38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, Vancouver, Canada. pp.2174 - 2178, ⟨10.1109/ICASSP.2013.6638039⟩. ⟨hal-01966004⟩
  • Chafic Saidé, Paul Honeine, Régis Lengellé, Cédric Richard, Roger Achkar. Adaptation en ligne d'un dictionnaire pour les méthodes à noyau. Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2013, Brest, France. ⟨hal-01966007⟩
  • Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine. Non-stationary Analysis of the Convergence of the Non-negative Least-mean-square Algorithm. Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5. ⟨hal-01966010⟩
  • Paul Honeine, Henri Lantéri, Cédric Richard. Constrained Kaczmarz's Cyclic Projections for Unmixing Hyperspectral Data. Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5. ⟨hal-01966006⟩
  • Paul Honeine, Henri Lantéri. Constrained reflect-then-combine methods for unmixing hyperspectral data. Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2013, Gainesville, Florida, USA, Unknown Region. ⟨10.1109/WHISPERS.2013.8080643⟩. ⟨hal-01966005⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Hichem Snoussi, Joumana Farah. Kernel-based localization using fingerprinting in wireless sensor networks. Proc. 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, Darmstadt, Germany. pp.744 - 748, ⟨10.1109/SPAWC.2013.6612149⟩. ⟨hal-01966000⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Localisation par fingerprinting et méthodes à noyaux dans les réseaux de capteurs sans fil. Actes de la 14-ème conférence ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision, 2013, Troyes, France. ⟨hal-01966001⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, Hichem Snoussi. Decentralized Localization Using Fingerprinting and Kernel Methods in Wireless Sensor Networks. Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5. ⟨hal-01966008⟩
  • Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah, et al.. Mobilité d'un réseau de capteurs sans fil basée sur les méthodes à noyau. Actes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2013, Brest, France. ⟨hal-01966011⟩
  • Nisrine Ghadban, Paul Honeine, Clovis Francis, Farah Mourad-Chehade, Joumana Farah, et al.. Estimation locale d'un champ de diffusion par modèles à noyaux. Actes de la 14-ème conférence ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision, 2013, Troyes, France. ⟨hal-01966003⟩
  • Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeiné, Joumana Farah, Hichem Snoussi. Decentralized localization using fingerprinting and kernel methods inwireless sensor networks. 21st European Signal Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. ⟨hal-02307487⟩
  • Patric Nader, Paul Honeine, Pierre Beauseroy. Intrusion Detection in SCADA Systems Using One-Class Classification. Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5. ⟨hal-01966009⟩
  • Francis Campan, van Long Do, Patrick Nader, Paul Honeine, Pierre Beauseroy, et al.. Surveillance Continue d’Activité et Localisation d’Agressions. Workshop Interdisciplinaire sur la Sécurité Globale (WISG), 2013, Troyes, France. ⟨hal-01303127⟩
  • Zineb Noumir, Blaise Kévin Guépié, Lionel Fillatre, Paul Honeiné, Igor Nikiforov, et al.. Detection of contamination in water distribution network. 2nd International Conference SimHydro: New trends in simulation hydroinformatics and 3D modeling, 2012, Sophia-Antipolis, France. ⟨hal-02870498⟩
  • Huan Yin, Francis Campan, Blaise Kévin Guépié, Zineb Noumir, Lionel Fillatre, et al.. VigiRes'Eau : Surveiller un réseau de distribution d'eau potable. Workshop Interdisciplinaire sur la Sécurité Globale (WISG 2012), Jan 2012, Troyes, France. ⟨hal-02632233⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. Kernels for time series of exponential decay/growth processes. Proc. 22nd IEEE workshop on Machine Learning for Signal Processing (MLSP), 2012, Santander, Spain. pp.1-6, ⟨10.1109/MLSP.2012.6349753⟩. ⟨hal-01966020⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. On simple one-class classification methods. Proc. IEEE International Symposium on Information Theory (ISIT), 2012, MIT, Cambridge (MA), USA, United States. pp.2022 - 2026, ⟨10.1109/ISIT.2012.6283685⟩. ⟨hal-01966023⟩
  • Jie Chen, Cédric Richard, Paul Honeine. Nonlinear unmixing of hyperspectral images based on multi-kernel learning. Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2012, Shanghai, China. pp.1-4, ⟨10.1109/WHISPERS.2012.6874231⟩. ⟨hal-01966012⟩
  • Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud. Prediction of time series using yule-walker equations with kernels. Proc. 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, Kyoto, Japan. pp.2185 - 2188, ⟨10.1109/ICASSP.2012.6288346⟩. ⟨hal-01966015⟩
  • Maya Kallas, Clovis Francis, Paul Honeine, Hassan Amoud, Cédric Richard. Modeling electrocardiogram using Yule-Walker equations and kernel machines. Proc. 19th International Conference on Telecommunications (ICT), 2012, Jounieh, Lebanon. pp.1-5, ⟨10.1109/ICTEL.2012.6221217⟩. ⟨hal-01966017⟩
  • Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar. Dictionary Adaptation for Online Prediction of Time Series Data with Kernels. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2012, Ann Arbor, Michigan, USA, Unknown Region. pp.604 - 607, ⟨10.1109/SSP.2012.6319772⟩. ⟨hal-01966021⟩
  • Pierre-Olivier Amblard, Olivier Michel, Cédric Richard, Paul Honeine. A Gaussian process regression approach for testing Granger causality between time series data. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Mar 2012, Kyoto, Japan. pp.SPTM-L5.3. ⟨hal-00683309⟩
  • Farah Mourad-Chehade, Paul Honeine, Hichem Snoussi. Indoor localization using polar intervals in wireless sensor networks. Proc. 19th International Conference on Telecommunications (ICT), 2012, Jounieh, Lebanon. pp.1 - 6, ⟨10.1109/ICTEL.2012.6221222⟩. ⟨hal-01966018⟩
  • Maya Kallas, Clovis Francis, Lara Kanaan, Dalia Merheb, Paul Honeine, et al.. Multi-Class SVM Classification Combined with Kernel PCA Feature Extraction of ECG Signals. Proc. 19th International Conference on Telecommunications (ICT), 2012, Jounieh, Lebanon. pp.1-5, ⟨10.1109/ICTEL.2012.6221261⟩. ⟨hal-01966016⟩
  • Nguyen Hoang Nguyen, Cédric Richard, Paul Honeine, Céline Theys. Hyperspectral image unmixing using manifold learning: methods derivations and comparative tests. Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, Munich, Germany. pp.3086 - 3089, ⟨10.1109/IGARSS.2012.6350773⟩. ⟨hal-01966014⟩
  • Zineb Noumir, Blaise Kévin Guépié, Lionel Fillatre, Paul Honeine, Igor Nikiforov, et al.. Detection of contamination in water distribution network. Advances in Hydroinformatics, 2012, Nice, France. ⟨10.1007/978-981-4451-42-0_12⟩. ⟨hal-01303112⟩
  • Stéphane Deveughèle, Charles Perez, Marc Lemercier, Huan Yin, Babiga Birregah, et al.. VigiRes'Eau. Proc. 10th International Conference on Hydroinformatics, 2012, Hamburg, Germany. ⟨hal-01966013⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. Online One-Class Machines Based on the Coherence Criterion. Proc. 20th European Conference on Signal Processing (EUSIPCO), 2012, Bucharest, Romania. pp.664 - 668. ⟨hal-01966019⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. One-class Machines Based on the Coherence Criterion. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2012, Ann Arbor, Michigan, USA, United States. pp.600 - 603, ⟨10.1109/SSP.2012.6319771⟩. ⟨hal-01966025⟩
  • Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret. Prediction of Rain Attenuation Series with Discretized Spectral Model. Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, Munich, Germany. pp.2407-2410, ⟨10.1109/IGARSS.2012.6351006⟩. ⟨hal-01966022⟩
  • Lionel Fillatre, Paul Honeine, Igor Nikiforov, Cédric Richard, Hichem Snoussi, et al.. VigiRes'Eau : Surveillance en temps réel de la qualité de l'eau potable d'un réseau de distribution en vue de la détection d'intrusions. Workshop Interdisciplinaire sur la Sécurité Globale (WISG 2013), Jan 2011, Troyes, France. ⟨hal-02632317⟩
  • Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud. Modèle autorégressif non-linéaire à noyau. Une première approche. Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France. ⟨hal-01966034⟩
  • Paul Honeine, Cédric Richard. Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectales. Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France. ⟨hal-01966040⟩
  • Jie Chen, Cédric Richard, Paul Honeine. Un nouveau paradigme pour le démélange non-linéaire des images hyperspectrales. Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France. ⟨hal-01966031⟩
  • Jie Chen, Cédric Richard, Paul Honeine. A novel kernel-based nonlinear unmixing scheme of hyperspectral images. Proc. 45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011, Pacific Grove (CA), USA, United States. pp.1898-1902, ⟨10.1109/ACSSC.2011.6190353⟩. ⟨hal-01966037⟩
  • Jie Chen, Cédric Richard, José C. M. Bermudez, Paul Honeine. A Modified Non-Negative LMS Algorithm and its Stochastic Behavior Analysis. Proc. 45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011, Pacific Grove (CA), USA, United States. pp.542-546, ⟨10.1109/ACSSC.2011.6190060⟩. ⟨hal-01966036⟩
  • Cédric Richard, Jie Chen, José C. M. Bermudez, Paul Honeine. Filtrage adaptatif avec contrainte de non-négativité. Principes de l'algorithme NN-LMS et modèle de convergence. Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France. ⟨hal-01966027⟩
  • Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud. Kernel-Based Autoregressive Modeling with a Pre-Image Technique. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2011, Nice, France. pp.281 - 284, ⟨10.1109/SSP.2011.5967681⟩. ⟨hal-01966028⟩
  • Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine. Online system identification under non-negativity and l₁-norm constraints algorithm and weight behavior analysis. Proc. 19th European Conference on Signal Processing (EUSIPCO), 2011, Barcelona, Spain. pp.1919-1923. ⟨hal-01966026⟩
  • Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine. A Gradient Based Method for Fully Constrained Least-Squares Unmixing of Hyperspectral Images. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2011, Nice, France. pp.301-304, ⟨10.1109/SSP.2011.5967687⟩. ⟨hal-01966030⟩
  • Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud. Non-Negative Pre-Image in Machine Learning for Pattern Recognition. Proc. 19th European Conference on Signal Processing (EUSIPCO), 2011, Barcelona, Spain. pp.931-935. ⟨hal-01966029⟩
  • Lara Kanaan, Dalia Merheb, Maya Kallas, Clovis Francis, Hassan Amoud, et al.. PCA And KPCA Of ECG Signals With Binary SVM Classification. Proc. IEEE workshop on Signal Processing Systems (SiPS), 2011, Beirut, Lebanon. pp.344 - 348, ⟨10.1109/SiPS.2011.6089000⟩. ⟨hal-01966038⟩
  • Maya Kallas, Paul Honeine, Hassan Amoud, Clovis Francis. Sur le problème de la pré-image en reconnaissance des formes avec contraintes de non-négativité. Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France. ⟨hal-01966035⟩
  • Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud. A Comparative Study Of Pre-Image Techniques: The Kernel Autoregressive Case. Proc. IEEE workshop on Signal Processing Systems (SiPS), 2011, Beirut, Lebanon. pp.379 - 384, ⟨10.1109/SiPS.2011.6089006⟩. ⟨hal-01966039⟩
  • Paul Honeine, Farah Mourad-Chehade, Maya Kallas, Hichem Snoussi, Hassan Amoud, et al.. Wireless sensor networks in biomedical: body area networks. Proc. 7th International Workshop on Systems, Signal Processing and their Applications (WOSSPA), 2011, Tipaza, Algeria. pp.388-391, ⟨10.1109/WOSSPA.2011.5931518⟩. ⟨hal-01966032⟩
  • Paul Honeiné. Problème de pré-image en apprentissage et reconnaissance des formes. Applications en traitement du signal et des images. Journée thématique : Apprentissage et reconnaissance des formes en signal et images, GdR ISIS, Apr 2011, Paris, France. ⟨hal-02967902⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. Classification multi-classes au prix d'un classifieur binaire. Actes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France. ⟨hal-01966041⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. Multi-Class Least Squares Classification at Binary-Classification Complexity. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2011, Nice, France. pp.277 - 280, ⟨10.1109/SSP.2011.5967680⟩. ⟨hal-01966033⟩
  • Maya Kallas, Paul Honeine, Cédric Richard, Hassan Amoud, Clovis Francis. Nonlinear feature extraction using kernel principal component analysis with non-negative pre-image. Proc. 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010, Buenos Aires, Argentina. pp.3642-3645, ⟨10.1109/IEMBS.2010.5627421⟩. ⟨hal-01966047⟩
  • Jie Chen, Cédric Richard, Paul Honeine, José C. M. Bermudez. Non-negative Distributed Regression for Data Inference in Wireless Sensor Networks. Proc. 44th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2010, Pacific Grove (CA), USA, United States. pp.451-455, ⟨10.1109/ACSSC.2010.5757599⟩. ⟨hal-01966045⟩
  • Jie Chen, Cédric Richard, Paul Honeine, Hichem Snoussi, Henri Lantéri, et al.. Techniques d'apprentissage non-linéaires en ligne avec contraintes de positivité. Actes de la VI-ème Conférence Internationale Francophone d'Automatique (CIFA), 2010, Nancy, France. ⟨hal-01966043⟩
  • Paul Honeine, Cédric Richard. The angular kernel in machine learning for hyperspectral data classification. Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2010, Reykjavik, Iceland. pp.1-4, ⟨10.1109/WHISPERS.2010.5594908⟩. ⟨hal-01966042⟩
  • Cédric Richard, Paul Honeine, Hichem Snoussi, André Ferrari, Céline Theys. Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and tracking. Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010, Honolulu (Hawaii), USA, United States. ⟨hal-01966044⟩
  • Patrick Flandrin, Pierre Borgnat, Azadeh Moghtaderi, Cédric Richard, Paul Honeiné, et al.. StaRAC : Stationnarité Relative et Approches Connexes. Grand Colloque STIC 2010, Jan 2010, Paris, France. ⟨hal-02967897⟩
  • Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys. System identification under non-negativity constraints. European Signal Processing Conference, Aug 2010, Aalborg, Denmark. pp.1728-1732. ⟨hal-02111262⟩
  • Paul Honeine, Cédric Richard. A simple scheme for unmixing hyperspectral data based on the geometry of the n-dimensional simplex. Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010, Honolulu (Hawaii), USA, Unknown Region. pp.2271-2274, ⟨10.1109/IGARSS.2010.5651456⟩. ⟨hal-01966046⟩
  • Maya Kallas, Paul Honeiné, Hassan Amoud, Clovis Francis, Cédric Richard. Constrained Pattern Recognition with Nonlinear Principal Component Analysis. Journées Scientifiques à l'Ecole Doctorale de Sciences et Technologie, Dec 2010, Tripoli, Lebanon. ⟨hal-02967862⟩
  • Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, et al.. Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-10, Mar 2010, Dallas, United States. pp.3666-3669, ⟨10.1109/ICASSP.2010.5495887⟩. ⟨ensl-00476017⟩
  • Paul Honeine, Cédric Richard, José C. M. Bermudez, Hichem Snoussi, Mehdi Essoloh, et al.. Functional estimation in Hilbert space for distributed learning in wireless sensor networks. Proc. 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009, Taipei, Taiwan. pp.2861-2864, ⟨10.1109/ICASSP.2009.4960220⟩. ⟨hal-01966048⟩
  • Paul Honeine, Cédric Richard. Solving the pre-image problem in kernel machines: a direct method. Proc. 19th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306204⟩. ⟨hal-01966049⟩
  • Mehdi Essoloh, Paul Honeine, Cédric Richard, Hichem Snoussi. Apprentissage non-linéaire en ligne dans les réseaux de capteurs sans fil. Actes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2009, Dijon, France. ⟨hal-01966050⟩
  • Paul Honeine, Cédric Richard, Hichem Snoussi, Mehdi Essoloh. Auto-localisation dans les réseaux de capteurs sans fil par régression de matrices de Gram. Actes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2009, Dijon, France. ⟨hal-01966051⟩
  • Hassan Amoud, Paul Honeine, Cédric Richard, Pierre Borgnat, Patrick Flandrin. Time-Frequency Learning Machines For NonStationarity Detection Using Surrogates. SSP'09 (IEEE/SP 15th Workshop on Statistical Signal Processing 2009), IEEE/SP, Aug 2009, Cardiff, United Kingdom. pp.565-568, ⟨10.1109/SSP.2009.5278514⟩. ⟨ensl-00420575⟩
  • Hassan Amoud, Cédric Richard, Paul Honeine, Patrick Flandrin, Pierre Borgnat. Sur la caractérisation de non-stationnarités par la méthode des substituts. XXIIe Colloque GRETSI - Traitement du Signal et des Images 2009, GRETSI, Sep 2009, Dijon, France. ⟨ensl-00420577⟩
  • Cédric Richard, Paul Honeiné, Hichem Snoussi, Mehdi Essoloh, José Carlos M. Bermudez. Distributed learning in wireless sensor networks. 5th Workshop on Sensor Networks, Nov 2008, Toulouse, France. ⟨hal-02870422⟩
  • Paul Honeine, Cédric Richard, Mehdi Essoloh, Hichem Snoussi. Localization in sensor networks - A matrix regression approach. Proc. 5th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2008, Darmstadt, Germany. pp.284-287, ⟨10.1109/SAM.2008.4606873⟩. ⟨hal-01966052⟩
  • Paul Honeine, Mehdi Essoloh, Cédric Richard, Hichem Snoussi. Distributed regression in sensor networks with a reduced-order kernel model. Proc. 51st IEEE GLOBECOM Global Communications Conference, 2008, New Orleans, LA, USA, United States. pp.1-5, ⟨10.1109/GLOCOM.2008.ECP.29⟩. ⟨hal-01966053⟩
  • Paul Honeine, Cédric Richard, José C. M. Bermudez, Hichem Snoussi. Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. Proc. 42nd Annual Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2008, Pacific Grove, CA, USA, United States. pp.246-250, ⟨10.1109/ACSSC.2008.5074401⟩. ⟨hal-01966054⟩
  • Mehdi Essoloh, Cédric Richard, Hichem Snoussi, Paul Honeine. Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert space. Proc. 16th European Conference on Signal Processing (EUSIPCO), 2008, Lausanne, Switzerland. pp.1-5. ⟨hal-01966055⟩
  • Paul Honeiné, Cédric Richard. Sur l'usage de critères de représentation parcimonieuse pour la RdF par méthodes à noyau. Journée thématique : représentations parcimonieuses, GdR ISIS, 2008, Paris, France. ⟨hal-02967905⟩
  • Paul Honeine, Cédric Richard, José C. M. Bermudez. On-line nonlinear sparse approximation of functions. Proc. IEEE International Symposium on Information Theory (ISIT), 2007, Nice, France. pp.956 - 960, ⟨10.1109/ISIT.2007.4557347⟩. ⟨hal-01966056⟩
  • Paul Honeine, Cédric Richard. Signal-dependent time-frequency representations for classification using a radially gaussian kernel and the alignment criterion. Proc. IEEE workshop on Statistical Signal Processing (SSP), 2007, Madison, WI, USA, Unknown Region. pp.735 - 739, ⟨10.1109/SSP.2007.4301356⟩. ⟨hal-01966057⟩
  • Paul Honeine, Cédric Richard. Distribution temps-fréquence à noyau radialement Gaussien : optimisation pour la classification par le critère d'alignement noyau-cible. Actes du XXI-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2007, Troyes, France. ⟨hal-01966058⟩
  • Paul Honeine, Cédric Richard, José C. M. Bermudez. Modélisation parcimonieuse non linéaire en ligne par une méthode à noyau reproduisant et un critère de cohérence. Actes du XXI-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2007, Troyes, France. ⟨hal-01966059⟩
  • Cédric Richard, Paul Honeiné. Filtrage adaptatif non linéaire par méthode à noyau. Journée thématique : signal, reconnaissance des formes et machines à noyaux, GdR ISIS, 2007, Paris, France. ⟨hal-02967906⟩
  • Paul Honeine, Cédric Richard, Patrick Flandrin, Jean-Baptiste Pothin. Optimal selection of time-frequency representations for signal classification: A kernel-target alignment approach. Proc. 31st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006, Toulouse, France. ⟨10.1109/ICASSP.2006.1660694⟩. ⟨hal-01966060⟩
  • Paul Honeine, Cédric Richard, Patrick Flandrin. Reconnaissance des formes par méthodes à noyau dans le domaine temps-fréquence. Actes du XX-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2005, Louvain-la-Neuve, Belgique. pp.969 - 972. ⟨hal-01966061⟩

Poster communications2 documents

  • François Septier, Yves Delignon, Patrick Armand, Hichem Snoussi, Paul Honeiné. MALICE : Localisation de sources polluantes depuis un réseau de capteurs. GIS 3SGS 2011 : 4ème Workshop du Groupement d'Intérêt Scientifique «Surveillance, Sûreté, Sécurité des Grands Systèmes»), Oct 2011, Valenciennes, France. ⟨hal-02870517⟩
  • Nadine Khodor, Hassan Amoud, Maya Kallas, Paul Honeiné, Clovis Francis. Le problème de pré-image dans la reconnaissance des formes. 1st International Conference on Advances in Biomedical Engineering (ICABME), Jul 2011, Tripoli, Liban. Proc. 1st International Conference on Advances in Biomedical Engineering. ⟨hal-02967843⟩

Book sections6 documents

  • Patric Nader, Paul Honeine, Pierre Beauseroy. The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. Christos G. Panayiotou and Georgios Ellinas and Elias Kyriakides and Marios M. Polycarpou. Critical Information Infrastructures Security, 25, Springer, pp.244 - 255, 2016, 978-3-319-31663-5. ⟨hal-01964947⟩
  • Hichem Snoussi, Paul Honeine, Cédric Richard. Kernel variational approach for target tracking in a wireless sensor network. Jean-François Giovannelli and Jérôme Idier. Regularization and bayesian methods for inverse problems in signal and image processing, 10, Wiley-ISTE, pp.251 - 265, 2015, Digital signal and image processing series, 978-1-84821-637-2. ⟨hal-01964949⟩
  • José C. M. Bermudez, Paul Honeine, Jean-Yves Tourneret, Cédric Richard. Kernel-Based Nonlinear Signal Processing. Coelho and Nascimento and Queiroz and Romano and Cavalcante. Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing, 2, CRC Press, Taylor & Francis Group, pp.29 - 50, 2015, 9781498722360. ⟨hal-01964948⟩
  • Hichem Snoussi, Paul Honeine, Cédric Richard. Approche variationnelle à noyau pour le suivi de cibles dans un réseau de capteurs sans fil. Jean-François Giovannelli and Jérôme Idier. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermes, pp.273 - 288, 2013. ⟨hal-01964952⟩
  • Pierre Borgnat, Patrick Flandrin, Cédric Richard, André Ferrari, Hassan Amoud, et al.. Time-Frequency Learning Machines For NonStationarity Detection Using Surrogates. Michael J. Way; Jeffrey D. Scargle; Kamal M. Ali; Ashok N. Srivstava. Advances in Machine Learning and Data Mining for Astronomy, Chapman & Hall; CRC Press, pp.487-503, 2012, 978‐1‐4398‐4173‐0. ⟨ensl-02967833⟩
  • Paul Honeine, Cédric Richard, Patrick Flandrin. Nonstationary signal analysis with time-frequency kernel machines. Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques, 10, IGI Global, pp.223 - 241, 2010, Information Science Reference, 9781605667676. ⟨hal-01964951⟩

Patents1 document

  • Hichem Snoussi, Cédric Richard, Paul Honeine. System and method for locating a target using a transceiver array. United States, Patent n° : US13264719. 2010. ⟨hal-01966122⟩

Preprints, Working Papers, ...3 documents

  • Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoît Gaüzère, Sébastien Adam, et al.. Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks. 2020. ⟨hal-02515637⟩
  • Linlin Jia, Benoit Gaüzère, Paul Honeine. Graph Kernels Based on Linear Patterns: Theoretical and Experimental Comparisons. 2019. ⟨hal-02053946⟩
  • Paul Honeiné, Cédric Richard, Patrick Flandrin. Time-frequency learning machines. 2006. ⟨ensl-00118896⟩

Reports5 documents

  • Paul Honeine. An eigenanalysis of data centering in machine learning. [Research Report] ArXiv. 2016, pp.1-13. ⟨hal-01966116⟩
  • Fei Zhu, Paul Honeine, Maya Kallas. Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image. [Research Report] ArXiv. 2016, pp.1-13. ⟨hal-01966117⟩
  • Paul Honeine. Entropy of Overcomplete Kernel Dictionaries. [Research Report] arXiv:1411.0161, ArXiv. 2014, pp.1 - 10. ⟨hal-01966119⟩
  • Fei Zhu, Paul Honeine, Maya Kallas. Kernel nonnegative matrix factorization without the curse of the pre-image. [Research Report] ArXiv. 2014, pp.1-14. ⟨hal-01966118⟩
  • Zineb Noumir, Paul Honeine, Cédric Richard. Adaptive Least-Squares One-Class Machines. [Research Report] UTT-ICD-2012-3-31, Université de technologie de Troyes. 2012, pp.1 - 12. ⟨hal-01966121⟩

Theses1 document

  • Paul Honeine. Méthodes à noyau pour l'analyse et la décision en environnement non-stationnaire. Apprentissage [cs.LG]. mémoire de thèse de doctorat en Optimisation et Sûreté des Systèmes, Ecole doctoral SSTO - UTT, 2007. Français. ⟨tel-01966123⟩

Habilitation à diriger des recherches1 document

  • Paul Honeine. Contributions en traitement du signal par méthodes d'apprentissage à noyaux. Apprentissage [cs.LG]. Habilitation à Diriger des Recherches, de l'Ecole Doctorale de l'Université de Technologie de Compiègne, 2013. ⟨tel-01966120⟩