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Analyse de données

Textbook (in french)

Slides

Enseignement à distance


Classification

Textbook (in french)

Slides (in french)


Exams

Working paper: T. Joachims, ''Text Categorization with Support Vector Machines: Learning with Many Relevant Features," in Proc. European Conf. on Machine Learning (ECML), Chemnitz, Germany, April 1998.

Working paper: B. Schölkopf, R. Williamson, A. Smola, J. Shawe-Taylor and J. Platt, ''Support Vector Method for Novelty Detection," in Proc. Advances in Neural Information Processing Systems (NIPS), vol. 12, Denver, CO, USA: MIT Press, pp. 582-588, Aug./Sep. 1999.

Working paper: T. H. Vu and V. Monga, ''Fast Low-Rank Shared Dictionary Learning for Image Classification,'' IEEE Trans. Image Process., vol. 26, no. 11, pp. 5160-5175, Nov. 2017.

Working paper: A. Swami and B. M. Sadler, ''Hierarchical Digital Modulation Classification Using Cumulants,'' IEEE Trans. Commun., vol. 48, no. 3, pp. 416-429, March 2000.

Working paper: Chapter 8 entitled ''Non-metric Methods" of the book by R. O. Duda, P. E. Hart and D. G. Stork ''Pattern Classification ,'' 2nd Edition, Wiley Interscience, 2000.

Working paper: F. Melgani, and L. Bruzzone, ''Classification of Hyperspectral Remote Sensing Images With Support Vector Machines,'' IEEE Trans. Geosci. Remote Sensing, vol. 42, no. 8, pp. 1778-1790, Aug. 2004.

Working paper: U. Amato, A. Antoniadis and G. Grégoire, ''Independent Component Discriminant Analysis,'' Int. Math. Journal, vol. 3, no. 7, pp. 735-753, Feb. 2003.


Working paper: M. Zhao, S. Li and J. Kwok, ''Text Detection in Images Using Sparse Representation With Discriminative Dictionaries,'' Image and Vision Computing, vol. 28, pp. 1590-1599, 2010.


Working paper: J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry and Y. Ma, ''Robust Face Recognition via Sparse Representation,'' IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210-227, Feb. 2009.



Working paper: X. Jiang, ''Asymmetric Principal Component and Discriminant Analyses for Pattern Classification,'' IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 31, no. 5, pp. 931-937, May 2009.


Working paper: D. J. Sebald and J. A. Bucklew, ''Support vector machines for nonlinear equalization, IEEE Trans. Signal Process., vol. 48, no. 11, pp. 3217-3226, Nov. 2000.


Working paper: A. Subasi and E. Ercelebi, ''Classification of EEG signals using neural networks and logistic regression,'' Comput. Methods Programs Biomed, vol. 78, no. 2, pp. 87-99, May 2005.


Working paper: D. Parikh and T. Chen, ''Classification-error cost minimization strategy: DCMS,'' in Proc. of IEEE Workshop on Stat. Sig. (SSP'07), pp. 39-43, Madison, WI, Aug. 16-19, 2007.