A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974. ,
DOI : 10.1109/TAC.1974.1100705
The irises of the gaspé peninsula, Bulletin of the American Iris Society, vol.59, pp.2-5, 1935. ,
Model-Based Gaussian and Non-Gaussian Clustering, Biometrics, vol.49, issue.3, pp.803-821, 1993. ,
DOI : 10.2307/2532201
Dynamic Programming, 1957. ,
Regularized Gaussian Discriminant Analysis through Eigenvalue Decomposition, Journal of the American Statistical Association, vol.91, issue.436, pp.1743-1748, 1996. ,
DOI : 10.1002/0471725293
Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000. ,
DOI : 10.1109/34.865189
Novelty detection and neural network validation, IEES Conference on Vision and Image Signal Processing, pp.217-222, 1994. ,
Combining labeled and unlabeled data with co-training, Proceedings of the eleventh annual conference on Computational learning theory , COLT' 98, 1998. ,
DOI : 10.1145/279943.279962
URL : http://axon.cs.byu.edu/~martinez/classes/678/Papers/Mitchell_cotraining.pdf
Supervised classification and visualization of social networks based on a probabilistic latent space model, 7th International Workshop on Mining and Learning with Graphs, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00407831
High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, issue.1, pp.502-519, 2007. ,
DOI : 10.1016/j.csda.2007.02.009
URL : https://hal.archives-ouvertes.fr/inria-00548573
High-Dimensional Discriminant Analysis, Communications in Statistics - Theory and Methods, vol.1, issue.14, pp.2607-2623, 2007. ,
DOI : 10.1214/aos/1176344136
URL : https://hal.archives-ouvertes.fr/inria-00548516
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
On optimum recognition error and reject tradeoff, IEEE Transactions on Information Theory, pp.41-46, 1970. ,
DOI : 10.1109/TIT.1970.1054406
A comparison of negative and positive selection algorithms in novel pattern detection, SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), pp.125-130, 2000. ,
DOI : 10.1109/ICSMC.2000.884976
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.39, issue.1, pp.1-38, 1977. ,
Applications of probability density estimation to the detection of abnormal conditions in engineering, Proc. Institute of Mechanical Engineers, pp.687-703 ,
DOI : 10.1243/0954406981521448
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS, Annals of Eugenics, vol.59, issue.2, pp.179-188, 1936. ,
DOI : 10.1111/j.1469-1809.1936.tb02137.x
Model-based clustering for social networks, Journal of the Royal Statistical Society: Series A (Statistics in Society), vol.6, issue.2, pp.1-22, 2007. ,
DOI : 10.1111/j.1467-9574.2005.00283.x
The error-reject tradeoff. Open Systems and Information Dynamics, pp.159-184, 1997. ,
The national longitudinal of adolescent health: Research design, 2003. ,
The nearest neighbour classification with a reject option, IEEE Transactions on Systems Science and Cybernetics, pp.179-185, 1970. ,
The Noise Component in Model-based Cluster Analysis, Data Analysis Machine Learning and Applications, pp.127-138, 2008. ,
DOI : 10.1007/978-3-540-78246-9_16
Latent Space Approaches to Social Network Analysis, Journal of the American Statistical Association, vol.97, issue.460, pp.1090-1098, 2002. ,
DOI : 10.1198/016214502388618906
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.6390
Self-organisation and associative memory, 1988. ,
On semi-supervised classification, NIPS, 2004. ,
Network intrusion and fault detection: a statistical anomaly approach. rk intrusion and fault detection: a IEEE Communications Magazine, pp.76-82, 2002. ,
Novelty detection: a review???part 1: statistical approaches, Signal Processing, vol.83, issue.12, pp.2481-2497, 2003. ,
DOI : 10.1016/j.sigpro.2003.07.018
Novelty detection: a review???part 2:, Signal Processing, vol.83, issue.12, pp.2499-2521, 2003. ,
DOI : 10.1016/j.sigpro.2003.07.019
Iterative Reclassification Procedure for Constructing an Asymptotically Optimal Rule of Allocation in Discriminant Analysis, Journal of the American Statistical Association, vol.31, issue.350, pp.365-369, 1975. ,
DOI : 10.1080/01621459.1975.10479874
Discriminant Analysis and Statistical Pattern Recognition, 1992. ,
DOI : 10.1002/0471725293
Finite Mixture Models, 2000. ,
DOI : 10.1002/0471721182
Novelty detection using neural network technology, Proc. of COMADEN conference, 2000. ,
Normal discrimination with unclassified observations, Journal of the American Statistical Association, issue.73, pp.821-826, 1978. ,
Novelty detection using extreme value statistics, IEE Proc. on Vision, Image and Signal Processing, pp.124-129, 1999. ,
DOI : 10.1049/ip-vis:19990428
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.1338
A Probabilistic Resource Allocating Network for Novelty Detection, Neural Computation, vol.139, issue.6, pp.270-284, 1994. ,
DOI : 10.1007/BF02457830
Intrusion detection with neural networks, Advances in Neural Information Processing Systems, 1998. ,
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
Learning with labeled and unlabeled data, 2001. ,
Support vector method for novelty detection, Advances in Neural Information Processing Systems, pp.582-588, 2000. ,
Novelty detection for the identification of masses in mammograms, 4th International Conference on Artificial Neural Networks, pp.442-447, 1995. ,
DOI : 10.1049/cp:19950597
Outlier detection using classifier instability, Advances in Pattern Recognition, pp.251-256, 1999. ,
DOI : 10.1007/BFb0033283
The national longitudinal of adolescent health: waves 1 and 2, 1994. ,
Parzen window network intrusion detectors, Proc. of International Conference on Pattern Recognition, 2002. ,