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Matthieu PUIGT's publications


Associate Professor with the University of Littoral Côte d'Opale, Calais, France


Journal articles6 documents

Conference papers38 documents

  • Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries?. 27th European Signal Processing Conference, Sep 2019, A Coruña, Spain. ⟨hal-02151521⟩
  • Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Fast & furious: accelerating weighted NMF using random projections. Workshop on Low-Rank Models and Applications (LRMA), Sep 2019, Mons, Belgium. ⟨hal-02151522⟩
  • Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Accélération de la factorisation pondérée en matrices non-négatives par projections aléatoires. GRETSI, Aug 2019, Lille, France. ⟨hal-02145705⟩
  • Matthieu Puigt, Clément Dorffer, Farouk Yahaya, Gilles Delmaire, Gilles Roussel. Cartographie et étalonnage de capteurs conjoints par traitement des données issues de capteurs mobiles. Colloque National Capteurs et Sciences Participatives, Apr 2019, Paris, France. ⟨hal-02070054⟩
  • Farouk Yahaya, Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Calibration en ligne d’un réseau de capteurs mobiles par factorisation matricielle. Individual Air Pollution Sensors: Innovation or Revolution?, Nov 2018, Villeneuve d'Ascq, France. ⟨hal-01868016⟩
  • Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Faster-than-fast NMF using random projections and Nesterov iterations. iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Nov 2018, Marseille, France. ⟨hal-01859713⟩
  • Frédéric Ledoux, Chloé Roche, Mireille Borgie, Lamia Moufarrej, Gilles Delmaire, et al.. Source contributions to PM10 levels in a coastal area in northern France: a one year study. 28th SETAC Europe Annual Meeting, May 2018, Roma, Italy. ⟨hal-01782372⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Fast Nonnegative Matrix Factorization and Completion Using Nesterov Iterations. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. pp.26-35, ⟨10.1007/978-3-319-53547-0_3⟩. ⟨hal-01469366⟩
  • Clement Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Romain Rouvoy, et al.. Matrix Factorisation-based Calibration For Air Quality Crowd-sensing. European Geosciences Union General Assembly 2017, Apr 2017, Vienna, Austria. pp.EGU2017-16389. ⟨hal-01495581⟩
  • Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Environmental signal processing: new trends and applications. 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), Apr 2017, Bruges, Belgium. ⟨hal-01476878⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Outlier-Robust Calibration Method for Sensor Networks. 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM), May 2017, San Sebastian, Spain. ⟨10.1109/ECMSM.2017.7945907⟩. ⟨hal-01498172⟩
  • Chloé Roche, Frédéric Ledoux, Mireille Borgie, Gilles Delmaire, Gilles Roussel, et al.. Origins of PM 10 in northern coast of France: a one year study to estimate maritime contributions in the Strait of Dover. 22nd European Aerosol Conference, Sep 2016, Tours, France. ⟨hal-01367342⟩
  • Robert Chreiky, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Antoine Abche. Informed split gradient non-negative matrix factorization using Huber cost function for source apportionment. Proceedings of the 16th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2016), IEEE, Dec 2016, Limassol, Cyprus. ⟨10.1109/ISSPIT.2016.7886011⟩. ⟨hal-01393264⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Blind mobile sensor calibration using an informed nonnegative matrix factorization with a relaxed rendezvous model. 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.2941-2945, ⟨10.1109/ICASSP.2016.7472216⟩. ⟨hal-01367338⟩
  • Robert Chreiky, Gilles Delmaire, Clément Dorffer, Matthieu Puigt, Gilles Roussel, et al.. Robust informed split gradient NMF using Alpha Beta-divergence for source apportionment. International Workshop on Machine Learning for Signal Processing (MLSP 2016), Sep 2016, Vietri Sul Mare, Italy. ⟨10.1109/MLSP.2016.7738843⟩. ⟨hal-01371238⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Nonlinear mobile sensor calibration using informed semi-nonnegative matrix factorization with a Vandermonde factor. 9th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Jul 2016, Rio de Janeiro, Brazil. ⟨10.1109/SAM.2016.7569735⟩. ⟨hal-01371239⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Blind calibration of mobile sensors using informed nonnegative matrix factorization. 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Aug 2015, Liberec, Czech Republic. pp.497-505, ⟨10.1007/978-3-319-22482-4_58⟩. ⟨hal-01367332⟩
  • Robert Chreiky, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Dominique Courcot, et al.. Split gradient method for informed non-negative matrix factorization. 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2015), Aug 2015, Liberec, Czech Republic. pp.376-383, ⟨10.1007/978-3-319-22482-4_44⟩. ⟨hal-01367330⟩
  • Abdelhakim Limem, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Dominique Courcot. Bound constrained weighted NMF for industrial source apportionment. 24th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014), Sep 2014, Reims, France. ⟨10.1109/MLSP.2014.6958851⟩. ⟨hal-01367328⟩
  • Marc Plouvin, Abdelhakim Limem, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, et al.. Enhanced NMF initialization using a physical model for pollution source apportionment. 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Apr 2014, Brugge, Belgium. pp.261-266. ⟨hal-01367324⟩
  • Matthieu Puigt, Emmanuel Vincent, Yannick Deville, Anthony Griffin, Athanasios Mouchtaris. Effects of audio coding on ICA performance: an experimental study. 11th IEEE Int. Workshop on Electronics, Control, Measurement, Signals and their application to Mechatronics, Jun 2013, Toulouse, France. ⟨hal-00817202⟩
  • Abdelhakim Limem, Gilles Delmaire, Matthieu Puigt, Gilles Roussel, Dominique Courcot. Non-negative matrix factorization using weighted beta divergence and equality constraints for industrial source apportionment. 23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Sep 2013, Southampton, United Kingdom. ⟨10.1109/MLSP.2013.6661903⟩. ⟨hal-01367327⟩
  • Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris. Nonlinear blind mixture identification using local source sparsity and functional data clustering. 7th IEEE Sensor Array and Multichannel Signal Processing, 2012, Hoboken, United States. pp. 481-484. ⟨hal-00772687⟩
  • Despoina Pavlidi, Anthony Griffin, Matthieu Puigt, Athanasios Mouchtaris. Source counting in real-time sound source localization using a circular microphone array. 7th IEEE Sensor Array and Multichannel Signal Processing (SAM 2012), 2012, Hoboken, NJ, United States. pp.521-524, ⟨10.1109/SAM.2012.6250555⟩. ⟨hal-00772688⟩
  • Despoina Pavlidi, Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris. Real-time multiple sound source localization using a circular microphone array based on single-source confidence measures. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2012, Kyoto, Japan. pp. 2625-2628, ⟨10.1109/ICASSP.2012.6288455⟩. ⟨hal-00772685⟩
  • Anthony Griffin, Despoina Pavlidi, Matthieu Puigt, Athanasios Mouchtaris. Real-time multiple speaker DOA estimation in a circular microphone array based on matching pursuit. 20th European Signal Processing Conference (EUSIPCO 2012), Aug 2012, Bucarest, Romania. pp.2303-2307. ⟨hal-00772689⟩
  • Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris. Post-nonlinear speech mixture identification using single-source temporal zones & curve clustering. EUSIPCO 2011, 2011, Barcelone, Spain. pp. 1844-1848. ⟨hal-00772682⟩
  • Ines Meganem, Yannick Deville, Matthieu Puigt. Blind separation methods based on correlation for sparse possibly-correlated images. IEEE International Conference on Acoustics, Speech, and Signal Processing, Mar 2010, Dallas, United States. pp. 1334 - 1337, ⟨10.1109/ICASSP.2010.5495438⟩. ⟨hal-00608737⟩
  • Olivier Berné, Christine Joblin, A. Tielens, Yannick Deville, Matthieu Puigt, et al.. Source separation algorithms for the analysis of hyperspectral observations of very small interstellar dust particles. Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Aug 2009, Grenoble, France. ⟨10.1109/WHISPERS.2009.5289097⟩. ⟨hal-00608736⟩
  • Matthieu Puigt, Olivier Berné, Rima Guidara, Yannick Deville, Shahram Hosseini, et al.. Cross-validation of blindly separated interstellar dust spectra. 9th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2009), Jul 2009, Mondragon, Spain. pp. 41-48. ⟨hal-00608735⟩
  • Matthieu Puigt, Emmanuel Vincent, Yannick Deville. Validity of the independence assumption for the separation of instantaneous and convolutive mixtures of speech and music sources. 8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA), Mar 2009, Paraty, Brazil. pp.613--620. ⟨inria-00544163⟩
  • Matthieu Puigt, Yannick Deville. Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures. 8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA), 2009, Paraty, Brazil. Lecture Notes in Computer Science, 2009, Volume 5441/2009, 306-313. ⟨hal-00608734⟩
  • Matthieu Puigt, Y. Deville. A new time-frequency correlation-based source separation method for attenuated and time-shifted mixtures. Proceedings of the 8th International Worshop on Electronics, Control, Modelling, Measurement and Signals, May 2007, Liberec, Czech Republic. ISBN 978-80-7372-218-0, pp. 34-39. ⟨hal-00289320⟩
  • Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan. A time-scale correlation-based blind separation method applicable to correlated sources. 14th European Symposium on Artificial Neural Networks (ESANN 2006), Apr 2006, Bruges, Belgium. pp.337-344. ⟨hal-01413554⟩
  • Matthieu Puigt, Y. Deville. Two time-frequency ratio-based blind source separation methods for time-delayed mixtures. Proceedings of the Sixth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006), Mar 2006, Charleston, United States. pp.682-690, ⟨10.1007/11679363⟩. ⟨hal-00289252⟩
  • Matthieu Puigt, Y. Deville. A time-frequency correlation-based blind source separation method for time-delayed mixtures. Proceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France. pp. V-853 - V-856, ISBN : 1-4244-0469-X. ⟨hal-00289305⟩
  • Matthieu Puigt, Yannick Deville. A time-frequency ratio-based source separation method for time-delayed mixtures exploiting constant-time zones. Proceedings of the 7th International Workshop on Electronics, Control, Modelling, Measurement and Signals (ECMS 2005), May 2005, Toulouse, France. ⟨hal-01393320⟩
  • Yannick Deville, Matthieu Puigt, Benoit Albouy. Time-frequency blind signal separation : extended methods, performance evaluation for speech sources. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), Jul 2004, Budapest, Hungary. pp. 255-260, ⟨10.1109/IJCNN.2004.1379909⟩. ⟨hal-01393317⟩

Poster communications7 documents

  • Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. NMF for Big Data with Missing Entries: A Random Projection Based Approach. 6ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Jul 2019, Lille, France. ⟨hal-02166582⟩
  • Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Do random projections fasten an already fast NMF technique using Nesterov optimal gradient?. 5ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Jul 2018, Amiens, France. ⟨hal-01831111⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Sensor Calibration using Informed Matrix Factorisation for Air Quality Crowdsensing. 4ème Journée Régionale des Doctorants en Automatique et Traitement du signal, Jun 2017, Béthune, France. 2017. ⟨hal-01831329⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Méthodes informées de factorisation matricielle pour l'étalonnage aveugle d'un réseau de capteurs mobiles. Doctorale en Traitement du Signal et de l'Image 2017, Apr 2017, Lille, France. ⟨hal-01831913⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel. Méthodes de traitement et de fusion de signaux irrégulièrement échantillonnés issus du crowdsensing. Application à la surveillance citoyenne de la qualité de l'air. 3ème Journée Régionale des Doctorants en Automatique et Traitement du Signal, Jun 2016, Lille, France. ⟨hal-01831327⟩
  • Clément Dorffer, Matthieu Puigt, Gilles Delmaire, Gilles Roussel, Romain Rouvoy. Traitement de signaux irrégulièrement échantillonnés issus du mobile crowd-sensing pour la surveillance de la qualité de l’air. Innovatives Big Data, Oct 2016, Paris, France. ⟨http://innovatives.cnrs.fr/big-data/innovatives-big-data/article/innovatives-big-data⟩. ⟨hal-01371240⟩
  • Matthieu Puigt, Yannick Deville. Principles and performance of the LI-TIFROM software. presented during (but not included in the proceeding of) the 8th International Conference on Independent Component Analysis and Blind Source Separation (ICA 2009), Mar 2009, Paraty, Brazil. ⟨hal-01796756⟩

Preprints, Working Papers, ...1 document

  • Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris. Post-Nonlinear Sparse Component Analysis Using Single-Source Zones and Functional Data Clustering. 2012. ⟨hal-00772690⟩