H. H. Aiken, Proposed automatic calculating machine, IEEE Spectrum, vol.1, issue.8, pp.62-69, 1937.
DOI : 10.1109/MSPEC.1964.6500770

P. Baillon, L. Behr, S. Danagulyan, A. Djannati-atai, B. Dudelzak et al., Towards a Major Atmospheric Cherenkov Detector -II For TeV Astroparticle Physics, Status report on themistocle experiment. In International Workshop : Canada. CERN Document Server, 1993.

A. Barrau, R. Bazer-bachi, E. Beyer, H. Cabot, M. Cerutti et al., The CAT imaging telescope for very-high-energy gamma-ray astronomy, Nuclear Instruments and Methods in Physics Research, pp.278-292, 1998.
DOI : 10.1016/S0168-9002(98)00749-9

URL : https://hal.archives-ouvertes.fr/in2p3-00003480

T. Bayes, AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES, Biometrika, vol.45, issue.3-4, pp.370-418, 1763.
DOI : 10.1093/biomet/45.3-4.296

T. Bayes, AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES, Biometrika, vol.45, issue.3-4, pp.296-315
DOI : 10.1093/biomet/45.3-4.296

S. O. Belkasim, M. Ahmadi, and M. Shridhar, Efficient algorithm for fast computation of Zernike moments, Journal of the Franklin Institute, vol.333, issue.4, pp.577-581, 1996.
DOI : 10.1016/0016-0032(96)00017-8

R. E. Bellman, Adaptive Control Processes, 1961.

D. Biggs, B. Deville, and E. Suen, A method of choosing multiway partitions for classification and decision trees, Journal of Applied Statistics, vol.18, issue.1, pp.49-62, 1991.
DOI : 10.1080/02664769100000005

L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, Classification and Regression Trees, 1984.

P. A. Cherenkov, Visible Radiation Produced by Electrons Moving in a Medium with Velocities Exceeding that of Light, Physical Review, vol.52, issue.4, pp.378-379, 1937.
DOI : 10.1103/PhysRev.52.378

A. H. Compton, A Quantum Theory of the Scattering of X-rays by Light Elements, Physical Review, vol.21, issue.5, pp.483-502, 1923.
DOI : 10.1103/PhysRev.21.483

M. , D. Naurois, and C. L-'expérience, Reconversion D'Une Centrale Solaire Pour L'Astronomie Gamma, 2000.
URL : https://hal.archives-ouvertes.fr/tel-00004261

B. Denby, Neural networks in high energy physics: A ten year perspective, Computer Physics Communications, vol.119, issue.2-3, pp.219-231, 1999.
DOI : 10.1016/S0010-4655(98)00199-4

T. G. Dietterich and G. Bakiri, Solving multiclass learning problems via error-correcting output codes, Journal of Artificial Intelligence Research, vol.2, pp.263-286, 1995.

F. R. Elder, A. M. Gurewitsch, R. V. Langmuir, and H. C. Pollock, Radiation from Electrons in a Synchrotron, Physical Review, vol.71, issue.11, pp.829-830, 1947.
DOI : 10.1103/PhysRev.71.829.5

J. A. Fisher, Very long instruction word architectures and the eli-512, Proceedings of the 10th annual international symposium on Computer architecture, pp.140-150, 1983.

M. J. Flynn, Some Computer Organizations and Their Effectiveness, IEEE Transactions on Computers, vol.21, issue.9, pp.948-960, 1972.
DOI : 10.1109/TC.1972.5009071

P. Goret, I. Grenier, N. Petrou, A. Raviart, A. Tabary et al., Asgat : A fast timing vhe gamma-ray telescope, Proceedings of the 22nd International Cosmic Ray Conference, pp.630-633, 1991.

P. Gosselin, Méthodes d'Apprentissage pour la Recherche de Catégories dans des Bases d'Images, 2005.

B. Granado, Architecture Des Systèmes Électroniques Pour Les Réseaux De Neurones -Conception D'Une Rétine Connexionniste, 1998.

D. Hammerstrom, An Introduction To Neural And Electronic Networks, chapter 17 A Digital VLSI Architecture For Real-World Applications, pp.335-358, 1995.

T. Hara and . Group, 3.8m imaging cherenkov telescope for the tev gammaray astronomy collaboration between japan and australia. Nuclear Instruments and Methods in, Physics Research, vol.332, pp.300-309, 1993.
URL : https://hal.archives-ouvertes.fr/hal-00356180

M. Hatamian, A real-time two-dimensional moment generating algorithm and its single chip implementation, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.3, pp.546-553, 1986.
DOI : 10.1109/TASSP.1986.1164853

S. Haykin, Neural Networks : A Comprehensive Foundation, 1998.

D. Heck, J. Knapp, J. N. Capdevielle, G. Schatz, and T. Thouw, Corsika : A monte carlo code to simulate extensive air showers, 1998.
URL : https://hal.archives-ouvertes.fr/in2p3-00005094

A. M. Hillas, Cerenkov light images of eas produced by primary gamma rays and by nuclei, Proceeding of 19th International Cosmic Ray Conference, p.445, 1985.

J. S. Ong, F. Perkins, M. Pizlo, J. Pohl, K. Quinn et al., The first veritas telescope, Astroparticle Physics, issue.6, pp.25391-401, 2006.

M. Hu, Visual pattern recognition by moment invariants, IRE Transactions on Information Theory, vol.8, pp.179-187, 1962.

W. M. Johnson, Superscalar Microprocessor Design, 1991.

G. V. Kass, An Exploratory Technique for Investigating Large Quantities of Categorical Data, Applied Statistics, vol.29, issue.2, pp.119-131, 1980.
DOI : 10.2307/2986296

E. C. Kintner, On the Mathematical Properties of the Zernike Polynomials, Optica Acta: International Journal of Optics, vol.23, issue.8, pp.679-680, 1976.
DOI : 10.1364/JOSA.66.000207

T. Kohonen, Self-Organizing Maps, volume 30 of Springer Series in Information Sciences, 2001.

L. Kotoulas and I. Andreadis, Real-time computation of Zernike moments, IEEE Transactions On Circuits And Systems For Video Technology, pp.801-809, 2005.
DOI : 10.1109/TCSVT.2005.848302

D. J. Kuck, The Structure Of Computers And Computations, 1978.

Y. and L. Cun, Une procédure d'apprentissage pour réseau à seuil asymétrique, proceedings of Cognitiva, 1985.

N. Leroy, Observations avec les Télescopes H.E.S.S. du Rayonnement Gamma Émis par le Noyau Actif de Galaxie PKS 2155-304, au-delà de 100 GeV, 2004.

D. A. Lewis, Optical characteristics of the whipple observatory TeV gamma-ray imaging telescope, Experimental Astronomy, vol.160, issue.No. 1 and 2, pp.213-226, 1990.
DOI : 10.1007/BF00428516

Y. Linde, A. Buzo, and R. Gray, An Algorithm for Vector Quantizer Design, IEEE Transactions on Communications, vol.28, issue.1, pp.84-95, 1980.
DOI : 10.1109/TCOM.1980.1094577

W. Y. Loh and Y. S. Shih, Split selection methods for classification trees, Statistica Sinica, vol.7, pp.815-840, 1997.

S. G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.7, pp.674-693, 1989.
DOI : 10.1109/34.192463

J. Mercer, Functions of positive and negative type and their connection with the theory of integral equations, Philosophical Transactions of the Royal Society of London, vol.209, 1909.

M. L. Minsky and S. A. Papert, Perceptrons : Expanded Edition, 1988.

M. Mori and . Group, The CANGAROO-III project, AIP Conference Proceedings, pp.485-491, 1999.
DOI : 10.1063/1.1291414

R. Mukundan and K. R. Ramakrishnan, Moment Functions In Image Analysis : Theory And Applications, World Scientific, 1998.
DOI : 10.1142/3838

P. Nayman, électronique pour hess-ii, 2006.

A. R. Omondi and J. C. Rajapakse, FPGA Implementations of Neural Networks, 2006.
DOI : 10.1007/0-387-28487-7

C. G. Schuette, T. O. Théoret, D. A. Tmer, J. A. Williams, and . Zweerink, High-energy gammaray observations of the crab nebula and pulsar with the solar tower atmospheric cerenkov effect experiment, Astrophysical Journal, vol.547, pp.949-958, 2001.

M. J. Powell, Algorithms for Approximation, chapter Radial basis functions for multivariate interpolation : a review, pp.143-167, 1987.

J. Prévotet, Étude Des Systèmes Électroniques Pour Les Réseaux Connexionnistes Appliqués À L'Instrumentation En Temps-Réel, 2002.

U. Ramacher, SYNAPSE???A neurocomputer that synthesizes neural algorithms on a parallel systolic engine, Journal of Parallel and Distributed Computing, vol.14, issue.3, pp.306-318, 1992.
DOI : 10.1016/0743-7315(92)90070-4

F. Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958.
DOI : 10.1037/h0042519

D. E. Rumelhart, G. E. Hinton, and R. J. Williams, Parallel Distributed Processing : Explorations In The Microstructure Of Cognition, chapter 8 Learning Internal Representations By Error Backpropagation, pp.318-362, 1986.

D. E. Rumelhart, J. L. Mcclelland, and P. Group, Parallel Distributed Processing : Explorations In The Microstructure Of Cognition, 1986.

B. R. Santo, 25 microchips that shook the world, IEEE Spectrum, vol.46, issue.5, pp.34-43, 2009.
DOI : 10.1109/MSPEC.2009.4907384

S. M. Stigler, Thomas Bayes's Bayesian Inference, Journal of the Royal Statistical Society. Series A (General), vol.145, issue.2, pp.250-258, 1982.
DOI : 10.2307/2981538

B. N. Swanenburg, K. Bennett, G. F. Bignami, R. Buccheri, P. Caraveo et al., Second COS B catalog of high-energy gamma-ray sources, The Astrophysical Journal, vol.243, pp.69-73, 1981.
DOI : 10.1086/183445

T. Tanimori and . Group, Construction of new 7m imaging air ?erenkov telescope of cangaroo, Proceedings of the 26th International Cosmic Ray Conference, pp.203-306, 1999.

M. R. Teague, Image analysis via the general theory of moments*, Journal of the Optical Society of America, vol.70, issue.8, pp.920-930, 1980.
DOI : 10.1364/JOSA.70.000920

P. C. Treleaven, D. R. Brownbridge, and R. P. Hopkins, Data-Driven and Demand-Driven Computer Architecture, ACM Computing Surveys, vol.14, issue.1, pp.93-143, 1982.
DOI : 10.1145/356869.356873

V. N. Vapnik, The Nature Of Statistical Learning Theory, 1995.

J. and V. Neumann, First Draft of a Report on the EDVAC, 1945.
DOI : 10.1007/978-3-642-61812-3_30

J. H. Ward, Hierarchical grouping to optimise an objective function, Journal of the American Statistical Association, vol.58, pp.238-244, 1963.

P. J. Werbos, Beyond Regression : New Tools for Prediction and Analysis in the Behavioral Sciences, 1974.

F. Zernike, Beugungstheorie des schneidenverfahrens und seiner verbesserten form, der phasenkontrastmethode, pp.689-704, 1934.
DOI : 10.1016/s0031-8914(34)80259-5