E. Arnaud, H. Christensen, Y. Lu, J. Barker, V. Khalidov et al., The CAVA corpus, Proceedings of the 10th international conference on Multimodal interfaces, IMCI '08, pp.109-116, 2008.
DOI : 10.1145/1452392.1452414

URL : https://hal.archives-ouvertes.fr/inria-00373173

G. W. Brier, VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY, Monthly Weather Review, vol.78, issue.1, p.13, 1950.
DOI : 10.1175/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2

G. Celeux and G. Govaert, Gaussian parsimonious clustering models, Pattern Recognition, vol.28, issue.5, pp.781-793, 1995.
DOI : 10.1016/0031-3203(94)00125-6

URL : https://hal.archives-ouvertes.fr/inria-00074643

G. Celeux and G. Soromenho, An entropy criterion for assessing the number of clusters in a mixture model, Journal of Classification, vol.5, issue.2, pp.195-212, 1996.
DOI : 10.1007/BF01246098

URL : https://hal.archives-ouvertes.fr/inria-00074799

J. A. Cuesta-albertos, A. Gordaliza, and C. Matran, Trimmed k-means: An attempt to robustify quantizers. The Annals of Statistics, pp.553-576, 1997.

J. A. Cuesta-albertos, C. Matrn, and A. Mayo-iscar, Robust estimation in the normal mixture model based on robust clustering, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.39, issue.4, pp.779-802, 2008.
DOI : 10.1111/j.1467-9868.2008.00657.x

L. R. Dice, Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945.
DOI : 10.2307/1932409

T. Eltoft, T. Kim, and T. Lee, Multivariate Scale Mixture of Gaussians Modeling, Independent Component Analysis and Blind Signal Separation, pp.799-806, 2006.
DOI : 10.1007/11679363_99

B. N. Flury and W. Gautschi, An Algorithm for Simultaneous Orthogonal Transformation of Several Positive Definite Symmetric Matrices to Nearly Diagonal Form, SIAM Journal on Scientific and Statistical Computing, vol.7, issue.1, pp.169-184, 1986.
DOI : 10.1137/0907013

P. W. Holland and Y. J. Wang, Dependence function for continuous bivariate densities, Communications in Statistics - Theory and Methods, vol.29, issue.3, pp.863-876, 1987.
DOI : 10.2307/2340126

M. C. Jones, Miscellanea. The local dependence function, Biometrika, vol.83, issue.4, pp.899-904, 1996.
DOI : 10.1093/biomet/83.4.899

D. Karlis and A. Santourian, Model-based clustering with non-elliptically contoured distributions, Statistics and Computing, vol.14, issue.1, pp.73-83, 2009.
DOI : 10.1007/s11222-008-9072-0

V. Khalidov, Conjugate Mixture Models for the Modelling of Visual and Auditory Perception, 2010.

V. Khalidov, F. Forbes, and R. Horaud, Conjugate Mixture Models for Clustering Multimodal Data, Neural Computation, vol.49, issue.3, pp.517-557, 2011.
DOI : 10.1007/978-94-011-3436-1

URL : https://hal.archives-ouvertes.fr/inria-00590267

G. J. Mclachlan and T. Krishnan, The EM Algorithm and Extensions, 2008.

V. Witkovsk´ywitkovsk´y, On the exact computation of the density and of the quantiles of linear combinations of t and F random variables, Journal of Statistical Planning and Inference, vol.94, issue.1, pp.1-13, 2001.
DOI : 10.1016/S0378-3758(00)00208-1