| 2009 |
31 | | Faicel Chamroukhi,
Allou Samé,
Gérard Govaert,
Patrice Aknin:
Time series modeling by a regression approach based on a latent process.
Neural Networks 22(5-6): 593-602 (2009) |
| 2008 |
30 | | Rodolphe Priam,
Mohamed Nadif,
Gérard Govaert:
The Block Generative Topographic Mapping.
ANNPR 2008: 13-23 |
29 | | Mohamed Nadif,
Gérard Govaert:
Algorithms for Model-based Block Gaussian Clustering.
DMIN 2008: 536-542 |
28 | | Rodolphe Priam,
Mohamed Nadif,
Gérard Govaert:
Binary Block GTM : Carte auto-organisatrice probabiliste pour les grands tableaux binaires.
EGC 2008: 265-272 |
27 | | Gérard Govaert,
Mohamed Nadif:
Block clustering with Bernoulli mixture models: Comparison of different approaches.
Computational Statistics & Data Analysis 52(6): 3233-3245 (2008) |
26 | | Pierre Gaillard,
Michaël Aupetit,
Gérard Govaert:
Learning topology of a labeled data set with the supervised generative Gaussian graph.
Neurocomputing 71(7-9): 1283-1299 (2008) |
| 2007 |
25 | | Pierre Gaillard,
Michaël Aupetit,
Gérard Govaert:
Apprentissage statistique de la topologie d'un ensemble de données étiquetées.
EGC 2007: 455-460 |
24 | | Pierre Gaillard,
Michaël Aupetit,
Gérard Govaert:
Learning topology of a labeled data set with the supervised generative gaussian graph.
ESANN 2007: 235-240 |
23 | | Damien Tessier,
Marc Schoenauer,
Christophe Biernacki,
Gilles Celeux,
Gérard Govaert:
Parameter Setting for Evolutionary Latent Class Clustering.
ISICA 2007: 472-484 |
22 | | Gérard Govaert,
Mohamed Nadif:
Clustering of contingency table and mixture model.
European Journal of Operational Research 183(3): 1055-1066 (2007) |
21 | | Allou Samé,
Christophe Ambroise,
Gérard Govaert:
An online classification EM algorithm based on the mixture model.
Statistics and Computing 17(3): 209-218 (2007) |
| 2006 |
20 | | Gérard Govaert,
Mohamed Nadif:
Classification d'un tableau de contingence et modèle probabiliste.
EGC 2006: 457-462 |
19 | | Allou Samé,
Christophe Ambroise,
Gérard Govaert:
A classification EM algorithm for binned data.
Computational Statistics & Data Analysis 51(2): 466-480 (2006) |
18 | | Christophe Biernacki,
Gilles Celeux,
Gérard Govaert,
Florent Langrognet:
Model-based cluster and discriminant analysis with the MIXMOD software.
Computational Statistics & Data Analysis 51(2): 587-600 (2006) |
17 | | Gérard Govaert,
Reiner Hähnle,
Mohamed Nadif:
Preface.
Soft Comput. 10(5): 405-405 (2006) |
16 | | Gérard Govaert,
Mohamed Nadif:
Fuzzy clustering to estimate the parameters of block mixture models.
Soft Comput. 10(5): 415-422 (2006) |
| 2005 |
15 | | Mohamed Nadif,
Gérard Govaert:
Block clustering via the block GEM and two-way EM algorithms.
AICCSA 2005: 32 |
14 | | Gérard Govaert,
Mohamed Nadif:
Classification d'un tableau de contingence et modèle probabiliste.
EGC 2005: 213-218 |
13 | | Mohamed Nadif,
Gérard Govaert:
Block Clustering of Contingency Table and Mixture Model.
IDA 2005: 249-259 |
12 | | Allou Samé,
Gérard Govaert,
Christophe Ambroise:
A Mixture Model-Based On-line CEM Algorithm.
IDA 2005: 373-384 |
11 | | Mohamed Nadif,
Gérard Govaert:
A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table.
PKDD 2005: 609-616 |
10 | | Gérard Govaert,
Mohamed Nadif:
An EM Algorithm for the Block Mixture Model.
IEEE Trans. Pattern Anal. Mach. Intell. 27(4): 643-647 (2005) |
| 2004 |
9 | | Hani Hamdan,
Gérard Govaert:
CEM algorithm for imprecise data. Application to flaw diagnosis using acoustic emission.
SMC (5) 2004: 4774-4779 |
| 2003 |
8 | | François-Xavier Jollois,
Mohamed Nadif,
Gérard Govaert:
Classification croisée sur des données binaires de grande taille.
EGC 2003: 213-218 |
7 | | Allou Samé,
Christophe Ambroise,
Gérard Govaert:
A Mixture Model Approach for Binned Data Clustering.
IDA 2003: 265-274 |
6 | | Christophe Biernacki,
Gilles Celeux,
Gérard Govaert:
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models.
Computational Statistics & Data Analysis 41(3-4): 561-575 (2003) |
5 | | Gérard Govaert,
Mohamed Nadif:
Clustering with block mixture models.
Pattern Recognition 36(2): 463-473 (2003) |
| 2000 |
4 | | Robert T. Collins,
Christophe Biernacki,
Gilles Celeux,
Alan J. Lipton,
Gérard Govaert,
Takeo Kanade:
Introduction to the Special Section on Video Surveillance.
IEEE Trans. Pattern Anal. Mach. Intell. 22(8): 745-746 (2000) |
| 1999 |
3 | | Christophe Biernacki,
Gilles Celeux,
Gérard Govaert:
An improvement of the NEC criterion for assessing the number of clusters in a mixture model.
Pattern Recognition Letters 20(3): 267-272 (1999) |
| 1998 |
2 | | Christophe Ambroise,
Gérard Govaert:
Convergence of an EM-type algorithm for spatial clustering.
Pattern Recognition Letters 19(10): 919-927 (1998) |
| 1995 |
1 | | Gilles Celeux,
Gérard Govaert:
Gaussian parsimonious clustering models.
Pattern Recognition 28(5): 781-793 (1995) |