| * | 2009 |
| 16 | EE | Benoit Scherrer,
Florence Forbes,
Michel Dojat:
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation.
MICCAI (1) 2009: 540-548 |
| 15 | EE | Patrick Loiseau,
Paulo Gonçalves,
Stéphane Girard,
Florence Forbes,
Pascale Vicat-Blanc Primet:
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data.
SIGMETRICS/Performance 2009: 263-274 |
| 14 | EE | Matthieu Vignes,
Florence Forbes:
Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features.
IEEE/ACM Trans. Comput. Biology Bioinform. 6(2): 260-270 (2009) |
| 2008 |
| 13 | EE | Ramya Narasimha,
Elise Arnaud,
Florence Forbes,
Radu Horaud:
Cooperative disparity and object boundary estimation.
ICIP 2008: 1784-1787 |
| 12 | EE | Elise Arnaud,
Heidi Christensen,
Yan-Chen Lu,
Jon Barker,
Vasil Khalidov,
Miles E. Hansard,
Bertrand Holveck,
Hervé Mathieu,
Ramya Narasimha,
Elise Taillant,
Florence Forbes,
Radu Horaud:
The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements.
ICMI 2008: 109-116 |
| 11 | EE | Vasil Khalidov,
Florence Forbes,
Miles E. Hansard,
Elise Arnaud,
Radu Horaud:
Detection and localization of 3d audio-visual objects using unsupervised clustering.
ICMI 2008: 217-224 |
| 10 | EE | Vasil Khalidov,
Florence Forbes,
Miles E. Hansard,
Elise Arnaud,
Radu Horaud:
Audio-Visual Clustering for 3D Speaker Localization.
MLMI 2008: 86-97 |
| 9 | EE | Juliette Blanchet,
Florence Forbes:
Triplet Markov Fields for the Classification of Complex Structure Data.
IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1055-1067 (2008) |
| 2007 |
| 8 | EE | Benoit Scherrer,
Michel Dojat,
Florence Forbes,
Catherine Garbay:
MRF Agent Based Segmentation: Application to MRI Brain Scans.
AIME 2007: 13-23 |
| 7 | EE | Benoit Scherrer,
Michel Dojat,
Florence Forbes,
Catherine Garbay:
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans.
MICCAI (1) 2007: 219-227 |
| 6 | EE | Florence Forbes,
Gersende Fort:
Combining Monte Carlo and Mean-Field-Like Methods for Inference in Hidden Markov Random Fields.
IEEE Transactions on Image Processing 16(3): 824-837 (2007) |
| 2006 |
| 5 | EE | Guillaume Dewaele,
Frederic Devernay,
Radu Horaud,
Florence Forbes:
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces.
ECCV (3) 2006: 578-591 |
| 2005 |
| 4 | | Juliette Blanchet,
Florence Forbes,
Cordelia Schmid:
Modèles markoviens pour l'organisation spatiale de descripteurs d'images.
CAP 2005: 113-126 |
| 2003 |
| 3 | EE | Florence Forbes,
Nathalie Peyrard:
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations.
IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1089-1101 (2003) |
| 2 | EE | Gilles Celeux,
Florence Forbes,
Nathalie Peyrard:
EM procedures using mean field-like approximations for Markov model-based image segmentation.
Pattern Recognition 36(1): 131-144 (2003) |
| 1998 |
| 1 | EE | Florence Forbes,
Bernard Ycart:
Counting stable sets on Cartesian products of graphs.
Discrete Mathematics 186(1-3): 105-116 (1998) |