N. A. Gumerov, C. Yang, R. Duraiswami, and L. Davis, Improved fast gauss transform and efficient kernel density estimation, Proc. of the IEEE 9th International Conference on Computer Vision (ICCV), pp.664-671, 2003.

G. Mclachlan and D. Peel, Finite Mixture Models,W i l e y - Interscience, 2000.

M. H. Law, M. A. Figueiredo, and A. K. Jain, Simultaneous feature selection and clustering using mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1154-1166, 2004.
DOI : 10.1109/TPAMI.2004.71
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.3284

M. W. Graham and D. J. Miller, Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection, IEEE Transactions on Signal Processing, vol.54, issue.4, pp.1289-1303, 2006.
DOI : 10.1109/TSP.2006.870586

T. Bdiri and N. Bouguila, Positive vectors clustering using inverted Dirichlet finite mixture models, Expert Systems with Applications, vol.39, issue.2, pp.1869-1882, 2012.
DOI : 10.1016/j.eswa.2011.08.063

T. Bdiri and N. Bouguila, Learning Inverted Dirichlet Mixtures for Positive Data Clustering, Proc. of the International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC).2 0 1 1 ,v o l .6 7 4 3o fLecture Notes in Computer Science, pp.265-272
DOI : 10.1007/978-3-642-21881-1_42

G. S. Lingappaiah, On the generalised inverted dirichlet distribution, Demostratio Mathematica, vol.93, pp.4-6, 1976.

S. Boutemedjet, N. Bouguila, and D. Ziou, A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, pp.1429-1443, 2009.
DOI : 10.1109/TPAMI.2008.155

C. S. Wallace, Statistical and Inductive Inference by Minimum Message Length,S p r i n g e r -V e r l a gN e wY o r k ,I n c

N. Bouguila, Spatial Color Image Databases Summarization, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, pp.953-956, 2007.
DOI : 10.1109/ICASSP.2007.366067

N. Bouguila and K. Daoudi, Learning concepts from visual scenes using a binary probabilistic model, 2009 IEEE International Workshop on Multimedia Signal Processing, pp.1-5, 2009.
DOI : 10.1109/MMSP.2009.5293316
URL : https://hal.archives-ouvertes.fr/inria-00438847

A. Rocha and S. Goldenstein, PR: More than Meets the Eye, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4408921

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512