Finite Mixture Models, 2000. ,
DOI : 10.1002/0471721182
Robust Bayesian mixture modelling, Neurocomputing, vol.64, pp.235-252, 2005. ,
Robust Bayesian clustering, Neural Networks, vol.20, issue.1, pp.129-138, 2007. ,
DOI : 10.1016/j.neunet.2006.06.009
Robust mixture clustering using Pearson type VII distribution, Pattern Recognition Letters, vol.31, issue.16, pp.2447-2454, 2010. ,
DOI : 10.1016/j.patrec.2010.07.015
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions, Statistics and Computing, vol.1, issue.4, pp.1021-1029, 2012. ,
DOI : 10.1007/s11222-011-9272-x
A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering, Statistics and Computing, vol.94, issue.1, pp.971-984, 2014. ,
DOI : 10.1007/s11222-013-9414-4
Finite mixtures of multivariate skew t-distributions: some recent and new results, Statistics and Computing, vol.82, issue.4, pp.181-202, 2014. ,
DOI : 10.1007/s11222-012-9362-4
Spectral clustering for multi-type relational data, Proceedings of the 23rd international conference on Machine learning , ICML '06, pp.585-592, 2006. ,
DOI : 10.1145/1143844.1143918
Penalized and weighted K-means for clustering with scattered objects and prior information in high-throughput biological data, Bioinformatics, vol.23, issue.17, pp.2247-2255, 2007. ,
DOI : 10.1093/bioinformatics/btm320
Weighted clustering, Proceedings of AAAI, 2012. ,
Data reduction for weighted and outlierresistant clustering, Proceedings of the Twenty-Third Annual ACM- SIAM Symposium on Discrete Algorithms. SIAM, 2012, pp.1343-1354 ,
A weighted multi-sequence Markov model for brain lesion segmentation, Proceedings of the International Conference on Artificial Intelligence and Statistics, pp.225-232, 2010. ,
URL : https://hal.archives-ouvertes.fr/inserm-00723808
Unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.3, pp.381-396, 2002. ,
DOI : 10.1109/34.990138
Methods for merging gaussian mixture components Advances in Data Analysis and Classification, pp.3-34, 2010. ,
Combining Mixture Components for Clustering, Journal of Computational and Graphical Statistics, vol.19, issue.2, 2010. ,
DOI : 10.1198/jcgs.2010.08111
URL : https://hal.archives-ouvertes.fr/inria-00321090
Merging Mixture Components for Clustering Through Pairwise Overlap, Journal of Computational and Graphical Statistics, vol.1, issue.1, 2014. ,
DOI : 10.1080/01621459.1963.10500845
The infinite Gaussian mixture model, NIPS, pp.554-560, 1999. ,
Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution, Journal of Computer Science and Technology, vol.25, issue.3, pp.653-664, 2010. ,
DOI : 10.1007/s11390-010-9355-8
The infinite mixture of infinite Gaussian mixtures, Advances in Neural Information Processing Systems, pp.28-36, 2014. ,
The infinite Student's t-mixture for robust modeling, Signal Processing, vol.92, issue.1, pp.224-234, 2012. ,
DOI : 10.1016/j.sigpro.2011.07.010
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
A Component-Wise EM Algorithm for Mixtures, Journal of Computational and Graphical Statistics, vol.10, issue.4, 2001. ,
DOI : 10.1198/106186001317243403
URL : https://hal.archives-ouvertes.fr/inria-00072916
Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998. ,
DOI : 10.1109/5.726791
Classification and Regression Trees, 1984. ,
Nuclear feature extraction for breast tumor diagnosis, IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology. International Society for Optics and Photonics, pp.861-870, 1993. ,
Letter recognition using Holland-style adaptive classifiers, Machine Learning, pp.161-182, 1991. ,
DOI : 10.1007/BF00114162
Pattern Recognition and Machine Learning, 2006. ,
Model-Based Gaussian and Non-Gaussian Clustering, Biometrics, vol.49, issue.3, pp.803-821, 1993. ,
DOI : 10.2307/2532201
Kernel k-means, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, pp.551-556, 2004. ,
DOI : 10.1145/1014052.1014118
Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.888-905, 2000. ,
Evaluation of hierarchical clustering algorithms for document datasets, Proceedings of the eleventh international conference on Information and knowledge management , CIKM '02, pp.515-524, 2002. ,
DOI : 10.1145/584792.584877
A Cluster Separation Measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.1, issue.2, pp.224-227, 1979. ,
DOI : 10.1109/TPAMI.1979.4766909
Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.4, pp.718-731, 2015. ,
DOI : 10.1109/TASLP.2015.2405475
URL : https://hal.archives-ouvertes.fr/hal-01112834
Progressive search space reduction for human pose estimation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587468
Face detection, pose estimation, and landmark localization in the wild, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
A statistical model-based voice activity detection, IEEE Signal Processing Letters, vol.6, issue.1, pp.1-3, 1999. ,
DOI : 10.1109/97.736233