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2D object detection and recognition, Yali Amit. MIT, 2002

A Distribution-Free Theory of Nonparametric Regression, L. Gyorfi, M. Kohler, A. Krzyzak et H. Walk, Springer, 2004

A Probabilistic Theory of Pattern Recognition, Devroye, L. Gyorfi et G. Lugosi, Springer-Verlag, 1996

A Theory of Shape Identification (Lecture Notes in Mathematics) by Frédéric Cao, José-Luis Lisani, Jean-Michel Morel, Pablo Musé, Frédéric Sur Springer 2008

A Wavelet Tour of Signal Processing, S. Mallat (nouvelle version 2009)

An Introduction to Kolmogorov Complexity and its Applications, M. Li, P. Vitanyi, Springer

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by Nello Cristianini and John Shawe-Taylor. Cambridge University Press 2000

Apprentissage statistique, G. Dreyfus, J-M. Martinez, M. Samuelides, M. B. Gordon, F. Badran, S. Thiria, L. Hérault ; Éditions EYROLLES, 2008

Computational Methods for Inverse Problems, C. Vogel, Frontiers in Applied Mathematics, 2002.

Convex Optimization, Stephen Boyd and Lieven Vandenberghe, Cambridge University Press 2004

Elements of Information Theory, T. Cover and J. Thomas, Wiley & Sons, New York, Second edition, 2006

Une exploration des signaux en ondelettes, S. Mallat, Ed. de l'Ecole Polytechnique, 2001

From Gestalt Theory To Image Analysis : A Probabilistic Approach, Desolneux, Agnès ; Moisan, Lionel ; Morel, Jean-Michel

Functions of Bounded Variation and Free Discontinuity Problems, L. Ambrosio, N. Fusco, and D. Pallara. Oxford Science Publications, 2000

Fundamental Papers in Wavelet Theory, by Christopher Heil, David F. Walnut, Ingrid Daubechies, Princeton University Press, 2006

Geometric Curve Evolution and Image Processing. Lecture Notes in Mathematics. Vol. 1805. Springer, 2003

Geometric Level Set Methods in Imaging, Vision and Graphics. S. Osher and N. Paragios. Publ. Springer Verlag, 2003

Graphical Models, S. Lauritzen. Oxford. 1996

Handbook of Mathematical Models in Computer Vision. N. Paragios and Y. Chen and O. Faugeras. Publ. Springer, 2005

Image Processing And Analysis : Variational, Pde, Wavelet, And Stochastic Methods, by Tony Chan, Jianhong Shen, SIAM 2005

Inference in Hidden Markov Models, O. Cappé, E. Moulines, Springer

Information and Complexity. Jorma Rissanen, Springer

Introduction to theoretical neurobiology, Tuckwell, H. C., Cambridge University Press, 1988 (2 volumes)

Invariance, déformations et reconnaissance de formes, Laurent Younes, Mathématiques et Applications , Vol. 44

Kernel methods in computational Biology, B. Schölkopf, K. Tsuda and J.-P. Vert, MIT Press, 2004

Large-scale kernel machines, L. Bottou, O. Chapelle, D. deCoste, J. Weston. MIT Press 2007

Learning With Kernels: Support Vector Machines, Regularization, Optimization and Beyond, de Bernhard Scholkopf et Alexander J. Smola , 2002

Level Set Methods and Dynamic Implicit Surfaces. S. J. Osher and R. Fedkiw. Springer, 2002

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

Mathematical Problems in Image Processing, Aubert, Kornprobst, Springer ed., Applied Mathematical Sciences , Vol. 147

The Mathematical Theory of Communication, Claude Elwood Shannon, Warren Weaver. Publié par University of Illinois Press, 1975

Measure Theory and Fine Properties of Functions, L. Evans, R. Gariepy, 1992

Modeling and inverse problems in image analysis. Bernard Chalmond. Springer New-York, Applied Mathematics Science series, 2003

Modeling brain function, D. Amit, Cambridge Univ. Press, 1989

Morphologie Mathématique - volume 1 - Théorie - volume 2 - Mise en oeuvre et applications - L. Najman et H. Talbot, Hermes-Lavoisier 2008

The nature of statistical learning theory, 2nd ed., V. Vapnik, Springer-Verlag, 1995

Numerical Geometry of Images: Theory, Algorithms, and Applications, by Ron Kimmel, Springer 2003

Numerical Geometry of Non-Rigid Shapes, Bronstein, Kimmel, Springer, 2008

Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean. Jacqueline B. Lewis Memorial Lectures. Amer Mathematical Society 2001

Pattern Recognition and Machine Learning, Christopher M. Bishop. Springer (2006)

Prediction, Learning, And Games, Nicolo Cesa-Bianchi, Gabor Lugosi, Cambridge University Press

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

Principles and practice of information theory, R. Blahut , Addison Wesley 1987

Semi-supervised learning, Edited by Olivier Chapelle, Bernhard Schölkopf and Alexander Zien. MIT Press 2006

Spiking Neuron Models, Gerstner, W. and Kistler, W., Cambridge University Press, 2002

Spline Models for Observational Data, CBMS-NSF Regional Conference Series in Applied Mathematics) by Grace Wahba

Statistical mechanics of learning, Engel A. and Van den Broeck C. Cambridge Univ Press 2001

The statistical analysis of failure time data. John Kalbfleish et Ross Prentice. Wiley 2002

The Statistical Theory of Shape. Christopher G. Small, Springer-Verlag, New York, 1996

Ten Lectures on Wavelets, I. Daubechies, SIAM

The Visual Neurosciences, Chalupa, L.M and Werner, J.S., MIT Press, 2003

Theoretical Neuroscience : Computational and Mathematical Modeling of Neural Systems, P. Dayan and L. F. Abbott, MIT Press, 2001

Théorie de l'Information et du Codage, O. Rioul, Hermes

Variational Analysis in Sobolev and BV spaces : Applications to PDEs and Oprimization. H. Attouch, G. Buttazzo, G. Michaille. MPS-SIAM Series on Optilmization, 2005

Wavelets: Algorithms & Applications, Yves Meyer, Robert D. Ryan (trad.), Society for Industrial 1996