2008 |
18 | EE | Hugo Zanghi,
Christophe Ambroise,
Vincent Miele:
Fast online graph clustering via Erdös-Rényi mixture.
Pattern Recognition 41(12): 3592-3599 (2008) |
2007 |
17 | EE | Marta Avalos,
Yves Grandvalet,
Christophe Ambroise:
Parsimonious additive models.
Computational Statistics & Data Analysis 51(6): 2851-2870 (2007) |
16 | EE | 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 |
15 | EE | Karim Yousfi,
Christophe Ambroise,
Jean Pierre Cocquerez,
Jonathan Chevelu:
Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database.
ICIP 2006: 2433-2436 |
14 | EE | Karim Yousfi,
Christophe Ambroise,
Jean Pierre Cocquerez,
Jonathan Chevelu:
Supervised Learning for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database.
ICPR (1) 2006: 484-487 |
13 | EE | Allou Samé,
Christophe Ambroise,
Gérard Govaert:
A classification EM algorithm for binned data.
Computational Statistics & Data Analysis 51(2): 466-480 (2006) |
12 | EE | Aurélien Cord,
Christophe Ambroise,
Jean Pierre Cocquerez:
Feature selection in robust clustering based on Laplace mixture.
Pattern Recognition Letters 27(6): 627-635 (2006) |
2005 |
11 | EE | Allou Samé,
Gérard Govaert,
Christophe Ambroise:
A Mixture Model-Based On-line CEM Algorithm.
IDA 2005: 373-384 |
10 | EE | Marta Avalos,
Yves Grandvalet,
Christophe Ambroise:
Discrimination par modèles additifs parcimonieux.
Revue d'Intelligence Artificielle 19(4-5): 661-682 (2005) |
2004 |
9 | EE | Geoffrey J. McLachlan,
Soong Chang,
Jess Mar,
Christophe Ambroise,
Justin Xi Zhu:
On the Simultaneous Use of Clinical and Microarray Expression Data in the Cluster Analysis of Tissue Samples.
APBC 2004: 167-171 |
2003 |
8 | | Micheline Najjar,
Christophe Ambroise,
Jean Pierre Cocquerez:
Feature selection for semisupervised learning applied to image retrieval.
ICIP (2) 2003: 559-562 |
7 | EE | Allou Samé,
Christophe Ambroise,
Gérard Govaert:
A Mixture Model Approach for Binned Data Clustering.
IDA 2003: 265-274 |
6 | EE | Marta Avalos,
Yves Grandvalet,
Christophe Ambroise:
Regularization Methods for Additive Models.
IDA 2003: 509-520 |
5 | EE | Micheline Najjar,
Christophe Ambroise,
Jean Pierre Cocquerez:
Image Retrieval Using Mixture Models and EM Algorithm.
SCIA 2003: 1114-1121 |
2001 |
4 | EE | Yves Grandvalet,
Florence d'Alché-Buc,
Christophe Ambroise:
Boosting Mixture Models for Semi-supervised Learning.
ICANN 2001: 41-48 |
3 | EE | Florence d'Alché-Buc,
Yves Grandvalet,
Christophe Ambroise:
Semi-supervised MarginBoost.
NIPS 2001: 553-560 |
2000 |
2 | EE | Christophe Ambroise,
Geniève Sèze,
Fouad Badran,
Sylvie Thiria:
Hierarchical clustering of self-organizing maps for cloud classification.
Neurocomputing 30(1-4): 47-52 (2000) |
1998 |
1 | EE | Christophe Ambroise,
Gérard Govaert:
Convergence of an EM-type algorithm for spatial clustering.
Pattern Recognition Letters 19(10): 919-927 (1998) |