| UNE SELECTION D’OUVRAGES POUR LES ELEVES DU MASTER M2 MVA A LA BIBLIOTHEQUE CENTRALE DE L’ENS CACHAN |
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Les ouvrages en bleu n'ont pas encore été reçus.
Les notices ci-dessous étant incomplètes, privilégiez la recherche par auteur et par mots du titre.
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2D object detection and recognition, Yali Amit. MIT, 2002 |
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A Distribution-Free Theory of Nonparametric Regression, L. Gyorfi, M. Kohler, A. Krzyzak et H. Walk, Springer, 2004 |
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A Probabilistic Theory of Pattern Recognition, Devroye, L. Gyorfi et G. Lugosi, Springer-Verlag, 1996 |
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A Theory of Shape Identification (Lecture Notes in Mathematics) by Frédéric Cao, José-Luis Lisani, Jean-Michel Morel, Pablo Musé, Frédéric Sur Springer 2008 |
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A Wavelet Tour of Signal Processing, S. Mallat (nouvelle version 2009) |
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An Introduction to Kolmogorov Complexity and its Applications, M. Li, P. Vitanyi, Springer |
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by Nello Cristianini and John Shawe-Taylor. Cambridge University Press 2000 |
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Apprentissage statistique, G. Dreyfus, J-M. Martinez, M. Samuelides, M. B. Gordon, F. Badran, S. Thiria, L. Hérault ; Éditions EYROLLES, 2008 |
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Computational Methods for Inverse Problems, C. Vogel, Frontiers in Applied Mathematics, 2002. |
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Convex Optimization, Stephen Boyd and Lieven Vandenberghe, Cambridge University Press 2004 |
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Elements of Information Theory, T. Cover and J. Thomas, Wiley & Sons, New York, Second edition, 2006 |
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Une exploration des signaux en ondelettes, S. Mallat, Ed. de l'Ecole Polytechnique, 2001 |
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From Gestalt Theory To Image Analysis : A Probabilistic Approach, Desolneux, Agnès ; Moisan, Lionel ; Morel, Jean-Michel |
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Functions of Bounded Variation and Free Discontinuity Problems, L. Ambrosio, N. Fusco, and D. Pallara. Oxford Science Publications, 2000 |
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Fundamental Papers in Wavelet Theory, by Christopher Heil, David F. Walnut, Ingrid Daubechies, Princeton University Press, 2006 |
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Geometric Curve Evolution and Image Processing. Lecture Notes in Mathematics. Vol. 1805. Springer, 2003 |
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Geometric Level Set Methods in Imaging, Vision and Graphics. S. Osher and N. Paragios. Publ. Springer Verlag, 2003 |
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Graphical Models, S. Lauritzen. Oxford. 1996 |
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Handbook of Mathematical Models in Computer Vision. N. Paragios and Y. Chen and O. Faugeras. Publ. Springer, 2005 |
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Image Processing And Analysis : Variational, Pde, Wavelet, And Stochastic Methods, by Tony Chan, Jianhong Shen, SIAM 2005 |
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Inference in Hidden Markov Models, O. Cappé, E. Moulines, Springer |
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Information and Complexity. Jorma Rissanen, Springer |
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Introduction to theoretical neurobiology, Tuckwell, H. C., Cambridge University Press, 1988 (2 volumes) |
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Invariance, déformations et reconnaissance de formes, Laurent Younes, Mathématiques et Applications , Vol. 44 |
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Kernel methods in computational Biology, B. Schölkopf, K. Tsuda and J.-P. Vert, MIT Press, 2004 |
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Large-scale kernel machines, L. Bottou, O. Chapelle, D. deCoste, J. Weston. MIT Press 2007 |
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Learning With Kernels: Support Vector Machines, Regularization, Optimization and Beyond, de Bernhard Scholkopf et Alexander J. Smola , 2002 |
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Level Set Methods and Dynamic Implicit Surfaces. S. J. Osher and R. Fedkiw. Springer, 2002 |
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Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science, Cambridge University Press by J. A. Sethian, 1999 |
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Mathematical Problems in Image Processing, Aubert, Kornprobst, Springer ed., Applied Mathematical Sciences , Vol. 147 |
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The Mathematical Theory of Communication, Claude Elwood Shannon, Warren Weaver. Publié par University of Illinois Press, 1975 |
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Measure Theory and Fine Properties of Functions, L. Evans, R. Gariepy, 1992 |
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Modeling and inverse problems in image analysis. Bernard Chalmond. Springer New-York, Applied Mathematics Science series, 2003 |
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Modeling brain function, D. Amit, Cambridge Univ. Press, 1989 |
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Morphologie Mathématique - volume 1 - Théorie - volume 2 - Mise en oeuvre et applications - L. Najman et H. Talbot, Hermes-Lavoisier 2008 |
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The nature of statistical learning theory, 2nd ed., V. Vapnik, Springer-Verlag, 1995 |
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Numerical Geometry of Images: Theory, Algorithms, and Applications, by Ron Kimmel, Springer 2003 |
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Numerical Geometry of Non-Rigid Shapes, Bronstein, Kimmel, Springer, 2008 |
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Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean. Jacqueline B. Lewis Memorial Lectures. Amer Mathematical Society 2001 |
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Pattern Recognition and Machine Learning, Christopher M. Bishop. Springer (2006) |
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Prediction, Learning, And Games, Nicolo Cesa-Bianchi, Gabor Lugosi, Cambridge University Press |
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Predicting Structured Data, Edited by Gökhan H. Bakir, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Ben Taskar and S. V. N. Vishwanathan, MIT Press 2007 |
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Principles and practice of information theory, R. Blahut , Addison Wesley 1987 |
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Semi-supervised learning, Edited by Olivier Chapelle, Bernhard Schölkopf and Alexander Zien. MIT Press 2006 |
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Spiking Neuron Models, Gerstner, W. and Kistler, W., Cambridge University Press, 2002 |
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Spline Models for Observational Data, CBMS-NSF Regional Conference Series in Applied Mathematics) by Grace Wahba |
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Statistical mechanics of learning, Engel A. and Van den Broeck C. Cambridge Univ Press 2001 |
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The statistical analysis of failure time data. John Kalbfleish et Ross Prentice. Wiley 2002 |
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The Statistical Theory of Shape. Christopher G. Small, Springer-Verlag, New York, 1996 |
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Ten Lectures on Wavelets, I. Daubechies, SIAM |
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The Visual Neurosciences, Chalupa, L.M and Werner, J.S., MIT Press, 2003 |
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Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, P. Dayan and L. F. Abbott, MIT Press, 2001 |
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Théorie de l'Information et du Codage, O. Rioul, Hermes |
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Variational Analysis in Sobolev and BV spaces : Applications to PDEs and Oprimization. H. Attouch, G. Buttazzo, G. Michaille. MPS-SIAM Series on Optilmization, 2005 |
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Wavelets: Algorithms & Applications, Yves Meyer, Robert D. Ryan (trad.), Society for Industrial 1996 |