Nombre de documents

12

CV de Vincent Mazet


Thèse1 document

  • Vincent Mazet. Développement de méthodes de traitement de signaux spectroscopiques : estimation de la ligne de base et du spectre de raies. Traitement du signal et de l'image. Université Henri Poincaré - Nancy I, 2005. Français. <tel-00011477>

Article dans une revue1 document

  • Benjamin Perret, Mazet Vincent, Christophe Collet, Eric Slezak. Hierarchical multispectral galaxy decomposition using a MCMC algorithm with multiple temperature simulated annealing. Pattern Recognition, Elsevier, 2011, 44 (6), pp.1328-1342. <10.1016/j.patcog.2010.11.021>. <hal-00749588>

Communication dans un congrès9 documents

  • Hassan Mortada, Vincent Mazet, Charles Soussen, Christophe Collet. Separation of delayed parameterized sources. 25th European Signal Processing Conference, EUSIPCO, Aug 2017, Kos Island, Greece. <https://www.eusipco2017.org/>. <hal-01497248>
  • Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet. DETECTION OF FAINT EXTENDED SOURCES IN HYPERSPECTRAL DATA AND APPLICATION TO HDF-S MUSE OBSERVATIONS. IEEE International Conference on Accoustic, Speech and Signal Processing 2016, Mar 2016, Shanghai, China. IEEE International Conference on Accoustic, Speech and Signal Processing 2016, <http://2016.ieeeicassp.org/default.asp>. <hal-01266333>
  • Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet. Oriented Triplet Markov Field for Hyperspectral Image Segmentation. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Aug 2016, Los Angeles, United States. 2016, <http://www.ieee-whispers.com/index.php>. <hal-01421883>
  • Tran-Thanh Ngo, Christophe Collet, Vincent Mazet. Détection simultanée de l'ombre et la végétation sur des images aériennes couleur en haute résolution. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France. 2014. <hal-00988727>
  • Vincent Mazet, Charles Soussen, El-Hadi Djermoune. Décomposition de spectres en motifs paramétriques par approximation parcimonieuse. XXIVe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2013, Sep 2013, Brest, France. pp.1-4, 2013. <hal-00916924>
  • Benjamin Perret, Mazet Vincent, Christophe Collet, Eric Slezak. Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms. Arnt-Brre Salberg and Jon Yngve Hardeberg and Robert Jenssen. Scandinavian Conference on Image Analysis, Jun 2009, Oslo, Norway. Springer, 5575, pp.209-218, 2009, LNCS. <10.1007/978-3-642-02230-2_22>. <hal-00749593>
  • Vincent Mazet, David Brie, Jérôme Idier. Decomposition of a chemical spectrum using a marked point process and a constant dimension model. Ali Mohammad-Djafari. MaxEnt Workshop, Jul 2006, Paris, France. AIP, pp.288-295, 2006. <hal-00408613>
  • Vincent Mazet, David Brie, Jérôme Idier. Decomposition of a Chemical Spectrum using a Marked Point Process and a Constant Dimension Model. Jul 2006, AIP, pp.113-122, 2006. <hal-00121593>
  • Vincent Mazet, David Brie. An alternative to the RJMCMC algorithm. Nov 2006, IAR, pp.CDROM, 2006. <hal-00121599>

Chapitre d'ouvrage1 document

  • Christophe Collet, Benjamin Perret, Mazet Vincent. Panoramic Integral-Field Spectrograph: Ultraspectral Data to Understand the History of the Universe. Christophe Collet; Jocelyn Chanussot; Kacem Chehdi. Digital Signal and Image Processing Series, ISTE Ltd and John Wiley & Sons Inc, pp.437-450, 2009, Multivariate Image Processing, 978-1848211391. <hal-01112885>