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| 2011 | ||
|---|---|---|
| 30 | A. K. Qin, Florence Forbes: Harmony search with differential mutation based pitch adjustment. GECCO 2011: 545-552 | |
| 29 | A. K. Qin, Florence Forbes: Dynamic regional harmony search with opposition and local learning. GECCO (Companion) 2011: 53-54 | |
| 28 | Xavier Alameda-Pineda, Vasil Khalidov, Radu Horaud, Florence Forbes: Finding audio-visual events in informal social gatherings. ICMI 2011: 247-254 | |
| 27 | Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu: Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) 2011: 260-268 | |
| 26 | Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes: SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent. Bioinformatics 27(6): 881-882 (2011) | |
| 25 | Radu Horaud, Florence Forbes, Manuel Yguel, Guillaume Dewaele, Jian Zhang: Rigid and Articulated Point Registration with Expectation Conditional Maximization. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 587-602 (2011) | |
| 24 | Vasil Khalidov, Florence Forbes, Radu Horaud: Conjugate Mixture Models for Clustering Multimodal Data. Neural Computation 23(2): 517-557 (2011) | |
| 23 | Laurent Risser, Thomas Vincent, Florence Forbes, Jérôme Idier, Philippe Ciuciu: Min-max Extrapolation Scheme for Fast Estimation of 3D Potts Field Partition Functions. Application to the Joint Detection-Estimation of Brain Activity in fMRI. Signal Processing Systems 65(3): 325-338 (2011) | |
| 2010 | ||
| 22 | Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud: Disparity and normal estimation through alternating maximization. ICIP 2010: 2969-2972 | |
| 21 | Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat: Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI 2010: 69-72 | |
| 20 | Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat: A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. Journal of Machine Learning Research - Proceedings Track 9: 225-232 (2010) | |
| 2009 | ||
| 19 | 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 | |
| 18 | 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 | |
| 17 | Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay: Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. Artificial Intelligence in Medicine 46(1): 81-95 (2009) | |
| 16 | Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat: Distributed Local MRF Models for Tissue and Structure Brain Segmentation. IEEE Trans. Med. Imaging 28(8): 1278-1295 (2009) | |
| 15 | 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 | ||
| 14 | Ramya Narasimha, Elise Arnaud, Florence Forbes, Radu Horaud: Cooperative disparity and object boundary estimation. ICIP 2008: 1784-1787 | |
| 13 | 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 | |
| 12 | 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 | |
| 11 | Vasil Khalidov, Florence Forbes, Miles E. Hansard, Elise Arnaud, Radu Horaud: Audio-Visual Clustering for 3D Speaker Localization. MLMI 2008: 86-97 | |
| 10 | 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 | ||
| 9 | Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay: MRF Agent Based Segmentation: Application to MRI Brain Scans. AIME 2007: 13-23 | |
| 8 | Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay: LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans. MICCAI (1) 2007: 219-227 | |
| 7 | 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 | ||
| 6 | 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 | ||
| 5 | Juliette Blanchet, Florence Forbes, Cordelia Schmid: Markov Random Fields for Textures Recognition with Local Invariant Regions and their Geometric Relationships. BMVC 2005 | |
| 4 | Juliette Blanchet, Florence Forbes, Cordelia Schmid: Modèles markoviens pour l'organisation spatiale de descripteurs d'images. CAP 2005: 113-126 | |
| 2003 | ||
| 3 | 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 | 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 | Florence Forbes, Bernard Ycart: Counting stable sets on Cartesian products of graphs. Discrete Mathematics 186(1-3): 105-116 (1998) | |
Colors in the list of coauthors
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