A. HAMMOUMI, M. Moreaud, C. Ducottet, S. Desroziers (2020): Distance transform data augmentation and stochastic patch-wise image prediction methodology for small dataset learning
A. Chabani, C. Mehl, I. Cojan, R. Alais, D. Bruel (2020): Semi-automated component identification of a complex fracture network using a mixture of von Mises distributions: Application to the Ardeche margin (South-East France)
. Computers & Geosciences 137 104435.
A. Lelevic, V. Souchon, M. Moreaud, C. Lorentz, C. Geantet (2020): Gas chromatography vacuum ultraviolet spectroscopy: A review
. Journal of Separation Science 43(1) 150—173.
Since its foundation in 1967, the CMM has contributed to the growth and dissemination of the theoretical and algorithmic corpus of mathematical morphology, making use of very broad fields of application, thereby providing a rich experimental terrain for the development of new concepts and tools. Its activities centre around collaboration with industry, research and teaching.
Presentation of the CMM