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Michel Ménard
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2020 – today
- 2020
- [j15]Dalia Marcela Rojas-Castro, Arnaud Revel, Michel Ménard:
RHIZOME ARCHITECTURE: An Adaptive Neurobehavioral Control Architecture for Cognitive Mobile Robots - Application in a Vision-Based Indoor Robot Navigation Context. Int. J. Soc. Robotics 12(3): 659-688 (2020)
2010 – 2019
- 2019
- [c30]Julien Maitre, Michel Ménard, Guillaume Chiron, Alain Bouju, Nicolas Sidère:
A Meaningful Information Extraction System for Interactive Analysis of Documents. ICDAR 2019: 92-99 - [c29]Ismail Bennis, Alain Gaugue, Michel Ménard:
Short-range and Long-range Cooperative Communication for Littoral Environment Monitoring. IWCMC 2019: 1958-1963 - 2016
- [c28]Dalia Marcela Rojas-Castro, Arnaud Revel, Michel Ménard:
Robotic and document analysis cross-fertilization: Improving place cells based robot navigation. ICARCV 2016: 1-6 - 2015
- [j14]Guillaume Chiron, Petra Gomez-Krämer, Michel Ménard:
Modélisation comportementale selon différentes échelles temporelles pour des trajectoires issues de scènes encombrées. Approche bayésienne non paramétrique par HDP. Rev. d'Intelligence Artif. 29(2): 173-203 (2015) - [j13]Sloven Dubois, Renaud Péteri, Michel Ménard:
Characterization and recognition of dynamic textures based on the 2D+T curvelet transform. Signal Image Video Process. 9(4): 819-830 (2015) - [c27]Dalia Marcela Rojas-Castro, Arnaud Revel, Michel Ménard:
A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures. ESANN 2015 - [c26]Dalia Marcela Rojas-Castro, Arnaud Revel, Michel Ménard:
Document image analysis by a mobile robot for autonomous indoor navigation. ICDAR 2015: 156-160 - 2014
- [c25]Guillaume Chiron, Petra Gomez-Krämer, Michel Ménard:
Discovering Emergent Behaviors from Tracks Using Hierarchical Non-parametric Bayesian Methods. ICPR 2014: 2185-2190 - 2013
- [j12]Guillaume Chiron, Petra Gomez-Krämer, Michel Ménard:
Detecting and tracking honeybees in 3D at the beehive entrance using stereo vision. EURASIP J. Image Video Process. 2013: 59 (2013) - [c24]Guillaume Chiron, Petra Gomez-Krämer, Michel Ménard, Fabrice Requier:
3D Tracking of Honeybees Enhanced by Environmental Context. ICIAP (1) 2013: 702-711 - 2012
- [j11]Sloven Dubois, Renaud Péteri, Michel Ménard:
Decomposition of Dynamic Textures Using Morphological Component Analysis. IEEE Trans. Circuits Syst. Video Technol. 22(2): 188-201 (2012) - [c23]Omar Benahmed Daho, Jamal Khamlichi, Olivier Chappe, Bruno Lescalier, Alain Gaugue, Michel Ménard:
Using CFAR algorithm to further improve a combined through-wall imaging method. EUSIPCO 2012: 2521-2525 - [c22]Clément Guérin, Petra Gomez-Krämer, Michel Ménard, Damien Coisne:
Vortex Tracking in High Density Vector Fields. ICIAR (1) 2012: 192-199 - 2011
- [c21]Mickaël Coustaty, Sloven Dubois, Michel Ménard, Jean-Marc Ogier:
Ancient Documents Denoising and Decomposition Using Aujol and Chambolle Algorithm. GREC 2011: 15-24 - 2010
- [j10]Abdallah El-Hamidi, Michel Ménard, Mathieu Lugiez, Clara Ghannam:
Weighted and extended total variation for image restoration and decomposition. Pattern Recognit. 43(4): 1564-1576 (2010) - [c20]Sloven Dubois, Renaud Péteri, Michel Ménard:
Decomposition of Dynamic Textures Using Morphological Component Analysis: A New Adaptative Strategy. ICPR 2010: 2258-2261 - [c19]Aymeric Histace, Michel Ménard:
MRI Image Enhancement - A PDE-based Approach Integrating a Double-well Potential Function for Thin Structure Preservation. VISAPP (1) 2010: 501-508
2000 – 2009
- 2009
- [j9]Aymeric Histace, Michel Ménard, Christine Cavaro-Ménard:
Selective diffusion for oriented pattern extraction: Application to tagged cardiac MRI enhancement. Pattern Recognit. Lett. 30(15): 1356-1365 (2009) - [c18]Mathieu Lugiez, Michel Ménard, Abdallah El-Hamidi:
Dynamic Texture Extraction and Video Denoising. ACIVS 2009: 242-252 - [c17]Mickaël Coustaty, Sloven Dubois, Jean-Marc Ogier, Michel Ménard:
Segmenting and Indexing Old Documents Using a Letter Extraction. GREC 2009: 142-149 - [c16]Sloven Dubois, Renaud Péteri, Michel Ménard:
A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition. IbPRIA 2009: 314-321 - [c15]Aymeric Histace, Michel Ménard:
Double Well Potential as Diffusive Function for PDE-based Scalar Image Restoration Method. ICINCO-RA 2009: 401-404 - [c14]Sloven Dubois, Renaud Péteri, Michel Ménard:
A 3D discrete curvelet based method for segmenting dynamic textures. ICIP 2009: 1373-1376 - [c13]Abdallah El-Hamidi, Clara Ghannam, Gilles Bailly-Maitre, Michel Ménard:
Nonstandard diffusion in image restoration and decomposition. ICIP 2009: 3945-3948 - 2008
- [c12]Sloven Dubois, Mathieu Lugiez, Renaud Péteri, Michel Ménard:
Adding a Noise Component To A Color Decomposition Model For Improving Color Texture Extraction. CGIV/MCS 2008: 394-398 - [c11]Mathieu Lugiez, Sloven Dubois, Michel Ménard, Abdallah El-Hamidi:
Spatiotemporal Extension of color Decomposition model and Dynamic Color structure-Texture extraction. CGIV/MCS 2008: 399-404 - [c10]Mathieu Lugiez, Michel Ménard, Abdallah El-Hamidi:
Dynamic Color Texture Modeling and Color Video Decomposition Using Bounded Variation and Oscillatory Functions. ICISP 2008: 29-37 - 2007
- [c9]Aymeric Histace, Vincent Courboulay, Michel Ménard:
Selective image diffusion for oriented pattern extraction. ICINCO-RA (2) 2007: 270-274 - 2006
- [c8]A. Ould Mohamed, Vincent Courboulay, Karim Sehaba, Michel Ménard:
Attention analysis in interactive software for children with autism. ASSETS 2006: 133-140 - 2005
- [c7]Aymeric Histace, Christine Cavaro-Ménard, Vincent Courboulay, Michel Ménard:
Analysis of Tagged Cardiac MRI Sequences. FIMH 2005: 404-413 - 2003
- [j8]Veyis Gunes, Michel Ménard, Pierre Loonis, Simon Petit-Renaud:
Combination, Cooperation And Selection Of Classifiers: A State Of The Art. Int. J. Pattern Recognit. Artif. Intell. 17(8): 1303-1324 (2003) - [j7]Michel Ménard, Vincent Courboulay, Pierre-André Dardignac:
Possibilistic and probabilistic fuzzy clustering: unification within the framework of the non-extensive thermostatistics. Pattern Recognit. 36(6): 1325-1342 (2003) - [c6]Pierre-André Dardignac, Claude C. Chibelushi, Michel Ménard, John S. Rees:
Tsallis Entropy in Fuzzy Clustering: a Multi-Resolution Approach. PRIS 2003: 134-141 - 2002
- [j6]Michel Ménard, Michel Eboueya:
Extreme physical information and objective function in fuzzy clustering. Fuzzy Sets Syst. 128(3): 285-303 (2002) - [j5]Veyis Gunes, Pierre Loonis, Michel Ménard:
A Fuzzy Petri Net for Pattern Recognition: Application to Dynamic Classes. Knowl. Inf. Syst. 4(1): 112-128 (2002) - [c5]Vincent Courboulay, Michel Ménard, Michel Eboueya, Pierre Courtellemont, Régis Vaillant, Damien Coisne:
A fuzzy multi-local method to detect specific shapes. FUZZ-IEEE 2002: 920-925 - [c4]Michel Ménard:
Extension of the objective functions in fuzzy clustering. FUZZ-IEEE 2002: 1450-1455 - 2001
- [j4]Michel Ménard:
Fuzzy clustering and switching regression models using ambiguity and distance rejects. Fuzzy Sets Syst. 122(3): 363-399 (2001) - [c3]Vincent Courboulay, Michel Eboueya, Michel Ménard, Pierre Courtellemont, Régis Vaillant, Damien Coisne:
Stent detection for presentation by overlay in injected x-ray cardiac images. Image Processing 2001 - 2000
- [j3]Ahmad Shahin, Michel Ménard, Michel Eboueya:
Cooperation of fuzzy segmentation operators for correction aliasing phenomenon in 3D color Doppler imaging. Artif. Intell. Medicine 19(2): 121-154 (2000) - [j2]Veyis Gunes, Michel Ménard, Pierre Loonis:
A Multiple Classifier System Using Ambiguity Rejection for Clustering-Classification Cooperation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8(6): 747-762 (2000) - [j1]Michel Ménard, Christophe Demko, Pierre Loonis:
The fuzzy c+2-means: solving the ambiguity rejection in clustering. Pattern Recognit. 33(7): 1219-1237 (2000) - [c2]Michel Ménard, Pierre-André Dardignac, Vincent Courboulay:
Switching Regression Models Using Ambiguity and Distance Rejects: Application to Ionogram Analysis. ICPR 2000: 2688-2691
1990 – 1999
- 1999
- [c1]Veyis Gunes, Michel Ménard, Pierre Loonis:
Fuzzy clustering with ambiguity for multi-classifiers fusion: clustering-classification cooperation. EUSFLAT-ESTYLF Joint Conf. 1999: 505-508
Coauthor Index
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