Paul Honeine
Présentation
Publications
Publications
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Coherence-based Sample Selection for Class-incremental Learning33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Apr 2025, Bruges, Belgium |
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Universal Domain Adaptation Benchmark for Time Series Data Representation33rd European Signal Processing Conference, Sep 2025, Palerme, Italy |
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Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series2025 International Joint Conference on Neural Networks (IJCNN), Jun 2025, Rome, Italy. ⟨10.1109/IJCNN64981.2025.11229152⟩ |
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Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition (GbRPR 2025), Jun 2025, Caen, France. pp.79-89, ⟨10.1007/978-3-031-94139-9_8⟩ |
Spectral-spatial contrastive learning framework for regression on hyperspectral data15th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), IEEE, Nov 2025, Bellaterra, Spain |
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Mamba-PKD: A Framework for Efficient and Scalable Model Compression in Image ClassificationThe 40th ACM/SIGAPP Symposium on Applied Computing, ACM, Mar 2025, Sicily, Italy |
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Contrastive learning for regression on hyperspectral dataProceedings of the 49th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Apr 2024, Seoul (Korea), South Korea |
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Bridging Distinct Spaces in Graph-based Machine Learning7th Asian Conference on Pattern Recognition (ACPR2023), Nov 2023, Kitakyushu, Japan. ⟨10.1007/978-3-031-47637-2_1⟩ |
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Interpolation spatiale avec un réseau de neurones génératif comme alternative au krigeageActes du 29-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Graph Normalizing Flows to Pre-image Free Machine Learning for Regression13th IAPR-TC15 International Workshop on Graph-Based Representations in Pattern Recognition, Sep 2023, Salerno, Italy. ⟨10.1007/978-3-031-42795-4_9⟩ |
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Normalizing Flows pour éviter le problème de pré-imageGRETSI'23 : XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Apprentissage contrastif pour l'adaptation de domaine en régressionActes du 29-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Normalizing Flow appliqué aux problèmes de pré-image de noyau24-ème Conférence d’Apprentissage automatique (CAp), Jul 2022, Vannes, France. pp.1-10 |
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Adaptation de domaine en régression par alignement de décompositions non-négatives28-ème Colloque GRETSI sur le Traitement du Signal et des Images, GRETSI, Sep 2022, Nancy, France |
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SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Oct 2022, Kyoto, Japan |
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Contrôle d'un système multi-CNN via le cap magnétique du smartphone pour la reconnaissance de scènes indoor28-ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Breaking the Limits of Message Passing Graph Neural NetworksProceedings of the 38th International Conference on Machine Learning (ICML), Jul 2021, Vienna, Austria. pp.599-608 |
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Analyzing the Expressive Power of Graph Neural Networks in a Spectral PerspectiveProceedings of the International Conference on Learning Representations (ICLR), May 2021, Vienna, Austria |
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A Metric Learning Approach to Graph Edit Costs for RegressionProceedings 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. ⟨10.1007/978-3-030-73973-7_23⟩ |
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A Surprisingly Effective Perimeter-based Loss for Medical Image SegmentationFourth conference on Medical Imaging with Deep Learning (MIDL), Jul 2021, Lübeck, Germany |
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Amélioration des performances des réseaux de neurones convolutifs en localisation indoor par augmentation des donnéesORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France |
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A Graph Pre-image Method Based on Graph Edit DistancesProceedings 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. ⟨10.1007/978-3-030-73973-7_21⟩ |
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When Spectral Domain Meets Spatial Domain in Graph Neural NetworksThirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria |
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A comparative study of semantic segmentation using omnidirectional imagesCongrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2020, Vannes, France |
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Pixel-wise linear/non linear nonnegative matrix factorization for unmixing of hyperspectral dataICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.4737-4741, ⟨10.1109/ICASSP40776.2020.9053239⟩ |
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Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-5, ⟨10.1109/IPTA50016.2020.9286633⟩ |
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Spectral-designed depthwise separable graph neural networksProceedings of Thirty-seventh International Conference on Machine Learning (ICML 2020) - Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria |
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The OmniScape Dataset2020 IEEE International Conference on Robotics and Automation (ICRA), May 2020, Paris, France. pp.1603-1608, ⟨10.1109/ICRA40945.2020.9197144⟩ |
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Génération d'images omnidirectionnelles à partir d'un environnement virtuel27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France |
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Performance Evaluation of State-of-the-art Filtering Criteria Applied to SIFT Features19th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Dec 2019, Ajman, United Arab Emirates |
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Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France |
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A Hidden Markov Model for Indoor Trajectory Tracking of Elderly People2019 IEEE Sensors Applications Symposium (SAS), Mar 2019, Sophia Antipolis, France. ⟨10.1109/SAS.2019.8706002⟩ |
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Apprentissage de dictionnaire faiblement cohérent par programmation quadratique mixte27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France |
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Decentralized Sensor Localization by Decision Fusion of RSSI and Mobility in Indoor EnvironmentsProc. 25rd European Conference on Signal Processing (EUSIPCO), 2018, Rome, Italy. pp.2300-2304, ⟨10.23919/EUSIPCO.2018.8553020⟩ |
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The Belief Functions Theory for Sensors Localization in Indoor Wireless NetworksProc. 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⟩ |
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Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSSProc. 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⟩ |
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Fast and Accurate Gaussian Pyramid Construction by Extended Box FilteringProc. 25rd European Conference on Signal Processing (EUSIPCO), 2018, Rome, Italy. pp.400-404, ⟨10.23919/EUSIPCO.2018.8553321⟩ |
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K-SVD with a real L0 optimization: application to image denoisingProc. 28th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2018, Aalborg, Denmark. pp.1 - 6, ⟨10.1109/MLSP.2018.8517064⟩ |
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Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor NetworksProc. 9th IFIP International Conference on New Technologies, Mobility and Security, 2018, Paris, France. ⟨10.1109/NTMS.2018.8328704⟩ |
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Supervised Classification of Social Spammers using a Similarity-based Markov Random Field ApproachProc. the 5th multidisciplinary international social networks conference, 2018, Saint-Etienne, France. pp.14:1 - 14:8, ⟨10.1145/3227696.3227712⟩ |
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A Weighted Kernel-based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless NetworksProc. 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018, Kalamata, Greece. ⟨10.1109/SPAWC.2018.8445918⟩ |
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Neighbor Retrieval Visualizer for Monitoring Lifting CranesAdvances 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. ⟨10.1007/978-3-030-11220-2_3⟩ |
Champ Aléatoire de Markov pour la Détection Supervisée des Comptes Malicieux sur Twitter20-ème Conférence d'Apprentissage automatique (CAp), Jun 2018, Rouen, France |
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Statistical learning for sensor localization in wireless networksInternational workshop on Optimization and Learning: Challenges and Applications (OLA 2018), Feb 2018, Alicante, Spain |
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Une véritable approche L0 pour l'apprentissage de dictionnaireActes du 26-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2017, Juan-Les-Pins, France |
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Classification paramétrique multi-classes à croyanceActes du 26-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2017, Juan-Les-Pins, France |
Detection of cyberattacks in a water distribution system using machine learning techniquesProc. sixth International Conference on Digital Information Processing and Communications, 2016, Beirut, Lebanon. pp.25-30, ⟨10.1109/ICDIPC.2016.7470786⟩ |
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ADMM for Maximum Correntropy CriterionProc. 28th (INNS and IEEE-CIS) International Joint Conference on Neural Networks, 2016, Vancouver, Canada. pp.1420-1427, ⟨10.1109/IJCNN.2016.7727365⟩ |
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Nonlinear hyperspectral unmixing accounting for spatial illumination variabilityProc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016, Los Angeles, CA, United States. ⟨10.1109/WHISPERS.2016.8071750⟩ |
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Robust hyperspectral unmixing accounting for residual componentsProc. IEEE workshop on Statistical Signal Processing (SSP), 2016, Palma de Mallorca, Spain. ⟨10.1109/SSP.2016.7551848⟩ |
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Zoning-based Localization in Indoor Sensor Networks Using Belief Functions TheoryProc. 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016, Edinburgh, UK, Unknown Region. ⟨10.1109/SPAWC.2016.7536787⟩ |
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Filtering smooth altimetric signals using a Bayesian algorithmProc. 23rd European Conference on Signal Processing (EUSIPCO), 2016, Budapest, Hungary. pp.2385-2389, ⟨10.1109/EUSIPCO.2016.7760676⟩ |
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Online nonnegative matrix factorization based on kernel machinesProc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.2381 - 2385, ⟨10.1109/EUSIPCO.2015.7362811⟩ |
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Unmixing multitemporal hyperspectral images accounting for endmember variability23rd European Signal and Image Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. pp. 1686-1690 |
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Hyperspectral unmixing accounting for spatial correlations and endmember variability7th IEEE Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS 2015), Jun 2015, Tokyo, Japan. pp. 1-4 |
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Gossip algorithms for principal component analysis in networksProc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.2366-2370, ⟨10.1109/EUSIPCO.2015.7362808⟩ |
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Pareto front of bi-objective kernel-based nonnegative matrix factorizationProc. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2015, Bruges, Belgium. pp.585 - 590 |
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Shrinkage methods for one-class classificationProc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France. pp.135-139, ⟨10.1109/EUSIPCO.2015.7362360⟩ |
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Eviter la malédiction de pré-image : application à la factorisation en matrices non négatives à noyauxActes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France |
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A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variabilityICASSP 2015, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2015, Brisbane, Australia. pp.2469-2473, ⟨10.1109/ICASSP.2015.7178415⟩ |
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Estimation de la dimension intrinsèque des images hyperspectrales à l'aide d'un modèle à variances isoléesActes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France |
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Modèle semi-paramétrique RSSI/distance pour le suivi d'une cible dans les réseaux de capteurs sans filActes du 25-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2015, Lyon, France |
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Online One-class Classification for Intrusion Detection Based on the Mahalanobis DistanceProc. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2015, Bruges, Belgium. pp.567 - 572 |
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Ridge regression and Kalman filtering for target tracking in wireless sensor networksProc. eighth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014, A Coruna, Spain. pp.237-240, ⟨10.1109/SAM.2014.6882384⟩ |
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Spectral partitioning and fusion techniques for hyperspectral data classification and unmixingProc. 6th International Symposium on Communications, Control, and Signal Processing (ISCCSP), 2014, Athens, Greece. pp.550-553, ⟨10.1109/ISCCSP.2014.6877934⟩ |
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Diffusion Strategies For In-Network Principal Component AnalysisProc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2014, Reims, France. pp.1 - 6, ⟨10.1109/MLSP.2014.6958849⟩ |
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Strategies for principal component analysis in wireless sensor networks2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), Jun 2014, A Coruna, Spain. pp.233-236, ⟨10.1109/SAM.2014.6882383⟩ |
The Role of One-Class Classification in Detecting Cyberattacks in Critical InfrastructuresProc. 9th International Conference on Critical Information Infrastructures Security, 2014, Limassol, Cyprus |
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Mobility using first and second derivatives for kernel-based regression in wireless sensor networksProc. 21st International Conference on Systems, Signals and Image Processing, 2014, Dubrovnik, Croatia. pp.203-206 |
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Mahalanobis-Based One-Class ClassificationProc. 24th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2014, Reims, France. pp.1 - 6, ⟨10.1109/MLSP.2014.6958934⟩ |
Démélange non-linéaire d'images hyperspectrales : mythe ou réalité ?3ème colloque scientifique de la SFPT-GH - 2014, May 2014, Porquerolles, France |
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Detection of contamination in water distribution networkAdvances in Hydroinformatics, 2012, Nice, France. ⟨10.1007/978-981-4451-42-0_12⟩ |
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Kernel non-negative matrix factorization without the pre-image problem24th IEEE Workshop on Machine Learning for Signal Processing, MLSP 2014, Sep 2014, Reims, France. ⟨10.1109/MLSP.2014.6958910⟩ |
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Combining a physical model with a nonlinear fluctuation for signal propagation modeling in WSNsProc. 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014, Doha, Qatar. pp.413-419, ⟨10.1109/AICCSA.2014.7073228⟩ |
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Constrained reflect-then-combine methods for unmixing hyperspectral dataProc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2013, Gainesville, Florida, USA, Unknown Region. ⟨10.1109/WHISPERS.2013.8080643⟩ |
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Mobilité d'un réseau de capteurs sans fil basée sur les méthodes à noyauActes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2013, Brest, France |
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Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regressionProc. 38th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, Vancouver, Canada. pp.2174 - 2178, ⟨10.1109/ICASSP.2013.6638039⟩ |
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Estimation locale d'un champ de diffusion par modèles à noyauxActes de la 14-ème conférence ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision, 2013, Troyes, France |
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Intrusion Detection in SCADA Systems Using One-Class ClassificationProc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5 |
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Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing modelProc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2013, Gainesville, Florida, USA, United States. ⟨10.1109/WHISPERS.2013.8080639⟩ |
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Localisation par fingerprinting et méthodes à noyaux dans les réseaux de capteurs sans filActes de la 14-ème conférence ROADEF de la Société Française de Recherche Opérationnelle et Aide à la Décision, 2013, Troyes, France |
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Identification en ligne avec régularisation L1. Algorithme et analyse de convergence en environnement non-stationnaireActes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2013, Brest, France |
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Kernel-based localization using fingerprinting in wireless sensor networksProc. 14th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, Darmstadt, Germany. pp.744 - 748, ⟨10.1109/SPAWC.2013.6612149⟩ |
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’intrusionWorkshop Interdisciplinaire sur la Sécurité Globale (WISG 2013), Jan 2013, Troyes, France |
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Surveillance Continue d’Activité et Localisation d’AgressionsWorkshop Interdisciplinaire sur la Sécurité Globale (WISG), 2013, Troyes, France |
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Constrained Kaczmarz's Cyclic Projections for Unmixing Hyperspectral DataProc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5 |
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Decentralized Localization Using Fingerprinting and Kernel Methods in Wireless Sensor NetworksProc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5 |
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Non-stationary Analysis of the Convergence of the Non-negative Least-mean-square AlgorithmProc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5 |
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Adaptation en ligne d'un dictionnaire pour les méthodes à noyauActes du 24-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2013, Brest, France |
VigiRes'EauProc. 10th International Conference on Hydroinformatics, 2012, Hamburg, Germany |
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Prediction of Rain Attenuation Series with Discretized Spectral ModelProc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, Munich, Germany. pp.2407-2410, ⟨10.1109/IGARSS.2012.6351006⟩ |
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Modeling electrocardiogram using Yule-Walker equations and kernel machinesProc. 19th International Conference on Telecommunications (ICT), 2012, Jounieh, Lebanon. pp.1-5, ⟨10.1109/ICTEL.2012.6221217⟩ |
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Prediction of time series using yule-walker equations with kernelsProc. 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, Kyoto, Japan. pp.2185 - 2188, ⟨10.1109/ICASSP.2012.6288346⟩ |
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Kernels for time series of exponential decay/growth processesProc. 22nd IEEE workshop on Machine Learning for Signal Processing (MLSP), 2012, Santander, Spain. pp.1-6, ⟨10.1109/MLSP.2012.6349753⟩ |
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Indoor localization using polar intervals in wireless sensor networksProc. 19th International Conference on Telecommunications (ICT), 2012, Jounieh, Lebanon. pp.1 - 6, ⟨10.1109/ICTEL.2012.6221222⟩ |
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One-class Machines Based on the Coherence CriterionProc. IEEE workshop on Statistical Signal Processing (SSP), 2012, Ann Arbor, Michigan, USA, United States. pp.600 - 603, ⟨10.1109/SSP.2012.6319771⟩ |
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Online One-Class Machines Based on the Coherence CriterionProc. 20th European Conference on Signal Processing (EUSIPCO), 2012, Bucharest, Romania. pp.664 - 668 |
VigiRes'Eau : Surveiller un réseau de distribution d'eau potableWorkshop Interdisciplinaire sur la Sécurité Globale (WISG 2012), Jan 2012, Troyes, France |
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Multi-Class SVM Classification Combined with Kernel PCA Feature Extraction of ECG SignalsProc. 19th International Conference on Telecommunications (ICT), 2012, Jounieh, Lebanon. pp.1-5, ⟨10.1109/ICTEL.2012.6221261⟩ |
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Dictionary Adaptation for Online Prediction of Time Series Data with KernelsProc. IEEE workshop on Statistical Signal Processing (SSP), 2012, Ann Arbor, Michigan, USA, Unknown Region. pp.604 - 607, ⟨10.1109/SSP.2012.6319772⟩ |
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On simple one-class classification methodsProc. IEEE International Symposium on Information Theory (ISIT), 2012, MIT, Cambridge (MA), USA, United States. pp.2022 - 2026, ⟨10.1109/ISIT.2012.6283685⟩ |
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Hyperspectral image unmixing using manifold learning: methods derivations and comparative testsProc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, Munich, Germany. pp.3086 - 3089, ⟨10.1109/IGARSS.2012.6350773⟩ |
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Nonlinear unmixing of hyperspectral images based on multi-kernel learningProc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2012, Shanghai, China. pp.1-4, ⟨10.1109/WHISPERS.2012.6874231⟩ |
Detection of contamination in water distribution network2nd International Conference SimHydro: New trends in simulation hydroinformatics and 3D modeling, 2012, Sophia-Antipolis, France |
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Online system identification under non-negativity and l₁-norm constraints algorithm and weight behavior analysisProc. 19th European Conference on Signal Processing (EUSIPCO), 2011, Barcelona, Spain. pp.1919-1923 |
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Modèle autorégressif non-linéaire à noyau. Une première approcheActes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France |
Problème de pré-image en apprentissage et reconnaissance des formes. Applications en traitement du signal et des imagesJournée thématique : Apprentissage et reconnaissance des formes en signal et images, GdR ISIS, Apr 2011, Paris, France |
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Classification multi-classes au prix d'un classifieur binaireActes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France |
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Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectalesActes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France |
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Wireless sensor networks in biomedical: body area networksProc. 7th International Workshop on Systems, Signal Processing and their Applications (WOSSPA), 2011, Tipaza, Algeria. pp.388-391, ⟨10.1109/WOSSPA.2011.5931518⟩ |
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Non-Negative Pre-Image in Machine Learning for Pattern RecognitionProc. 19th European Conference on Signal Processing (EUSIPCO), 2011, Barcelona, Spain. pp.931-935 |
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A Gradient Based Method for Fully Constrained Least-Squares Unmixing of Hyperspectral ImagesProc. IEEE workshop on Statistical Signal Processing (SSP), 2011, Nice, France. pp.301-304, ⟨10.1109/SSP.2011.5967687⟩ |
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Sur le problème de la pré-image en reconnaissance des formes avec contraintes de non-négativitéActes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France |
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Multi-Class Least Squares Classification at Binary-Classification ComplexityProc. IEEE workshop on Statistical Signal Processing (SSP), 2011, Nice, France. pp.277 - 280, ⟨10.1109/SSP.2011.5967680⟩ |
A Comparative Study Of Pre-Image Techniques: The Kernel Autoregressive CaseProc. IEEE workshop on Signal Processing Systems (SiPS), 2011, Beirut, Lebanon. pp.379 - 384, ⟨10.1109/SiPS.2011.6089006⟩ |
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Un nouveau paradigme pour le démélange non-linéaire des images hyperspectralesActes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France |
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Kernel-Based Autoregressive Modeling with a Pre-Image TechniqueProc. IEEE workshop on Statistical Signal Processing (SSP), 2011, Nice, France. pp.281 - 284, ⟨10.1109/SSP.2011.5967681⟩ |
PCA And KPCA Of ECG Signals With Binary SVM ClassificationProc. IEEE workshop on Signal Processing Systems (SiPS), 2011, Beirut, Lebanon. pp.344 - 348, ⟨10.1109/SiPS.2011.6089000⟩ |
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A novel kernel-based nonlinear unmixing scheme of hyperspectral imagesProc. 45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011, Pacific Grove (CA), USA, United States. pp.1898-1902, ⟨10.1109/ACSSC.2011.6190353⟩ |
VigiRes'Eau : Surveillance en temps réel de la qualité de l'eau potable d'un réseau de distribution en vue de la détection d'intrusionsWorkshop Interdisciplinaire sur la Sécurité Globale (WISG 2013), Jan 2011, Troyes, France |
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A Modified Non-Negative LMS Algorithm and its Stochastic Behavior AnalysisProc. 45th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011, Pacific Grove (CA), USA, United States. pp.542-546, ⟨10.1109/ACSSC.2011.6190060⟩ |
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Filtrage adaptatif avec contrainte de non-négativité. Principes de l'algorithme NN-LMS et modèle de convergenceActes du 23-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2011, Bordeaux, France |
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System identification under non-negativity constraintsEuropean Signal Processing Conference, Aug 2010, Aalborg, Denmark. pp.1728-1732 |
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Distributed learning with kernels in wireless sensor networks for physical phenomena modeling and trackingProc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010, Honolulu (Hawaii), USA, United States |
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Nonlinear feature extraction using kernel principal component analysis with non-negative pre-imageProc. 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⟩ |
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A simple scheme for unmixing hyperspectral data based on the geometry of the n-dimensional simplexProc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2010, Honolulu (Hawaii), USA, Unknown Region. pp.2271-2274, ⟨10.1109/IGARSS.2010.5651456⟩ |
StaRAC : Stationnarité Relative et Approches ConnexesGrand Colloque STIC 2010, Jan 2010, Paris, France |
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The angular kernel in machine learning for hyperspectral data classificationProc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2010, Reykjavik, Iceland. pp.1-4, ⟨10.1109/WHISPERS.2010.5594908⟩ |
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Techniques d'apprentissage non-linéaires en ligne avec contraintes de positivitéActes de la VI-ème Conférence Internationale Francophone d'Automatique (CIFA), 2010, Nancy, France |
Constrained Pattern Recognition with Nonlinear Principal Component AnalysisJournées Scientifiques à l'Ecole Doctorale de Sciences et Technologie, Dec 2010, Tripoli, Lebanon |
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Statistical hypothesis testing with time-frequency surrogates to check signal stationarityIEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-10, Mar 2010, Dallas, United States. pp.3666-3669, ⟨10.1109/ICASSP.2010.5495887⟩ |
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Non-negative Distributed Regression for Data Inference in Wireless Sensor NetworksProc. 44th Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2010, Pacific Grove (CA), USA, United States. pp.451-455, ⟨10.1109/ACSSC.2010.5757599⟩ |
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Apprentissage non-linéaire en ligne dans les réseaux de capteurs sans filActes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2009, Dijon, France |
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Functional estimation in Hilbert space for distributed learning in wireless sensor networksProc. 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2009, Taipei, Taiwan. pp.2861-2864, ⟨10.1109/ICASSP.2009.4960220⟩ |
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Sur la caractérisation de non-stationnarités par la méthode des substitutsXXIIe Colloque GRETSI - Traitement du Signal et des Images 2009, GRETSI, Sep 2009, Dijon, France |
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Time-Frequency Learning Machines For NonStationarity Detection Using SurrogatesSSP'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⟩ |
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Solving the pre-image problem in kernel machines: a direct methodProc. 19th IEEE workshop on Machine Learning for Signal Processing (MLSP), 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306204⟩ |
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Auto-localisation dans les réseaux de capteurs sans fil par régression de matrices de GramActes du 22-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2009, Dijon, France |
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Distributed localization in wireless sensor networks as a pre-image problem in a reproducing kernel Hilbert spaceProc. 16th European Conference on Signal Processing (EUSIPCO), 2008, Lausanne, Switzerland. pp.1-5 |
Distributed learning in wireless sensor networks5th Workshop on Sensor Networks, Nov 2008, Toulouse, France |
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Sur l'usage de critères de représentation parcimonieuse pour la RdF par méthodes à noyauJournée thématique : représentations parcimonieuses, GdR ISIS, 2008, Paris, France |
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Localization in sensor networks - A matrix regression approachProc. 5th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2008, Darmstadt, Germany. pp.284-287, ⟨10.1109/SAM.2008.4606873⟩ |
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Distributed regression in sensor networks with a reduced-order kernel modelProc. 51st IEEE GLOBECOM Global Communications Conference, 2008, New Orleans, LA, USA, United States. pp.1-5, ⟨10.1109/GLOCOM.2008.ECP.29⟩ |
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Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networksProc. 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⟩ |
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On-line nonlinear sparse approximation of functionsProc. IEEE International Symposium on Information Theory (ISIT), 2007, Nice, France. pp.956 - 960, ⟨10.1109/ISIT.2007.4557347⟩ |
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Signal-dependent time-frequency representations for classification using a radially gaussian kernel and the alignment criterionProc. IEEE workshop on Statistical Signal Processing (SSP), 2007, Madison, WI, USA, Unknown Region. pp.735 - 739, ⟨10.1109/SSP.2007.4301356⟩ |
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Distribution temps-fréquence à noyau radialement Gaussien : optimisation pour la classification par le critère d'alignement noyau-cibleActes du XXI-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2007, Troyes, France |
Filtrage adaptatif non linéaire par méthode à noyauJournée thématique : signal, reconnaissance des formes et machines à noyaux, GdR ISIS, 2007, Paris, France |
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Modélisation parcimonieuse non linéaire en ligne par une méthode à noyau reproduisant et un critère de cohérenceActes du XXI-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2007, Troyes, France |
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Optimal selection of time-frequency representations for signal classification: A kernel-target alignment approachProc. 31st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006, Toulouse, France. ⟨10.1109/ICASSP.2006.1660694⟩ |
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Reconnaissance des formes par méthodes à noyau dans le domaine temps-fréquenceActes du XX-ème Colloque GRETSI sur le Traitement du Signal et des Images, 2005, Louvain-la-Neuve, Belgique. pp.969 - 972 |
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Estimating Contaminated Soil Volumes Using a Generative Neural Network: A Hydrocarbon Case in France15th International Conference on Geostatistics for Environmental Applications (geoENV), Jun 2024, Chania, Crete, Greece |
Hyperspectral characterization of soil matrix effects by coupling physical models and machine learning methods13th IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Oct 2023, Athens, Greece |
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Hyperspectral imaging for the evaluation of lithology and the monitoring of hydrocarbons in environmental samplesRemTech (International event on Remediation, Coasts, Floods, Climate, Seismic, Regeneration Industry), Sep 2021, Ferrara, Italy. |
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MALICE : Localisation de sources polluantes depuis un réseau de capteursGIS 3SGS 2011 : 4ème Workshop du Groupement d'Intérêt Scientifique «Surveillance, Sûreté, Sécurité des Grands Systèmes»), Oct 2011, Valenciennes, France |
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Le problème de pré-image dans la reconnaissance des formes1st International Conference on Advances in Biomedical Engineering (ICABME), Jul 2011, Tripoli, Liban. Proc. 1st International Conference on Advances in Biomedical Engineering |
The Role of One-Class Classification in Detecting Cyberattacks in Critical InfrastructuresChristos 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 |
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Kernel variational approach for target tracking in a wireless sensor networkJean-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 |
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Kernel-Based Nonlinear Signal ProcessingCoelho 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 |
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Approche variationnelle à noyau pour le suivi de cibles dans un réseau de capteurs sans filJean-François Giovannelli and Jérôme Idier. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermes, pp.273 - 288, 2013 |
Time-Frequency Learning Machines For NonStationarity Detection Using SurrogatesMichael 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 |
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Nonstationary signal analysis with time-frequency kernel machinesHandbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques, 10, IGI Global, pp.223 - 241, 2010, Information Science Reference, 9781605667676 |
Method for analyzing soil pollutionFrance, Patent n° : WO2022069827 (A1). 2022 |
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System and method for locating a target using a transceiver arrayUnited States, Patent n° : US13264719. 2010 |
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Mamba base PKD for efficient knowledge compression2025 |
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Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks2020 |
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Graph Kernels Based on Linear Patterns: Theoretical and Experimental Comparisons2019 |
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Time-frequency learning machines2006 |
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An eigenanalysis of data centering in machine learning[Research Report] ArXiv. 2016, pp.1-13 |
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Kernel Nonnegative Matrix Factorization Without the Curse of the Pre-image[Research Report] ArXiv. 2016, pp.1-13 |
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Entropy of Overcomplete Kernel Dictionaries[Research Report] arXiv:1411.0161, ArXiv. 2014, pp.1 - 10 |
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Kernel nonnegative matrix factorization without the curse of the pre-image[Research Report] ArXiv. 2014, pp.1-14 |
Adaptive Least-Squares One-Class Machines[Research Report] UTT-ICD-2012-3-31, Université de technologie de Troyes. 2012, pp.1 - 12 |
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Méthodes à noyau pour l'analyse et la décision en environnement non-stationnaireApprentissage [cs.LG]. mémoire de thèse de doctorat en Optimisation et Sûreté des Systèmes, Ecole doctoral SSTO - UTT, 2007. Français. ⟨NNT : ⟩ |
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Contributions en traitement du signal par méthodes d'apprentissage à noyauxApprentissage [cs.LG]. Habilitation à Diriger des Recherches, de l'Ecole Doctorale de l'Université de Technologie de Compiègne, 2013 |