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L'équipe ~ Vladimir Krylov Samedi 21 octobre 2017, 18h04

Vladimir Krylov

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Post-Doctorant, INRIA Sophia Antipolis

motcle Mots-clés : Champs Markoviens, Estimation de paramètres, Texture, Classification
demos Démo : voir la démo de l'auteur
plus Contact :

E-Mail :vladimirdotkrylovatinriadotfr
Téléphone :(33)4-89-73-24-43
Fax :(33)4-92-38-76-43
Adresse :INRIA Sophia Antipolis
2004, route des Lucioles
06902 Sophia Antipolis Cedex
Site personnel :visitez !

plus Mini CV :

Vladimir A. Krylov received the “specialist” (M.S.) degree in applied mathematics and the “candidate of physico-mathematical sciences” (Ph.D.) degree in mathematics (with specialization in probability theory and mathematical statistics) both from the Lomonosov Moscow State University, Moscow, Russia, in 2007 and 2011, respectively.

Since 2008 he has been collaborating as a visiting Ph.D. student with Ariana research group, INRIA Sophia Antipolis, France. Currently he is working as a Postdoctoral Fellow with ARIANA project, INRIA. His main research interest lies in the field of statistical image analysis and processing. In particular, his work concerns statistical modeling, classification and multitemporal change detection of remote sensing imagery.

plus Dernières publications dans le projet Ariana :
Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test.
V. Krylov et G. Moser et A. Voisin et S.B. Serpico et J. Zerubia. Dans Proc. IEEE International Conference on Image Processing (ICIP), Orlando, United States, octobre 2012.
Classification of multi-sensor remote sensing images using an adaptive hierarchical Markovian model.
A. Voisin et V. Krylov et G. Moser et S.B. Serpico et J. Zerubia. Dans EURASIP, Bucarest, Romania, août 2012.
Probability Density Function Estimation for Classification of High Resolution SAR Images.
V. Krylov et G. Moser et S. Serduc et J. Zerubia. Dans Signal Processing for Remote Sensing, Second Edition, pages 339-363, Ed. C. Chen., Publ. Taylor & Francis, février 2012.
publis Liste complète des publications dans le projet Ariana
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