Christine Graffigne (born 1959)[1] is a French applied mathematician. She is known for her pioneering research on Markov random fields for image analysis,[2] the topic of her 1986 invited address (joint with Stuart Geman) to the International Congress of Mathematicians.[3]

Education and career

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Graffigne earned a double Ph.D., in 1986 from Paris-Sud University with the dissertation Applications des statistiques au traitement d'images supervised by Dominique Picard, and in 1987 from Brown University with the dissertation Experiments In Texture Analysis And Segmentation supervised by Geman.[4]

She is a professor in the MAP5 (Applied Mathematics at Paris 5) Laboratory, formerly at Paris Descartes University and now part of the University of Paris.[5] At Paris Descartes University, she directed the Information Technology and Mathematics Training and Research Unit (UFR de Mathématiques et Informatique) until 2019, when she was succeeded in this position by David Janiszek.[6]

References

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  1. ^ Birthdate from French National Library catalog entry, retrieved 2021-11-10
  2. ^ Azencott, Robert, Markov Random Fields and Computer Vision, retrieved 2021-11-10
  3. ^ Geman, Stuart; Graffigne, Christine (1987), "Markov random field image models and their applications to computer vision" (PDF), Proceedings of the International Congress of Mathematicians, Vol. 1, 2 (Berkeley, Calif., 1986), Providence, Rhode Island: American Mathematical Society, pp. 1496–1517, MR 0934354, Zbl 0665.68067
  4. ^ Christine Graffigne at the Mathematics Genealogy Project
  5. ^ MAP5 permanent members, archived from the original on 2021-11-10, retrieved 2021-11-10
  6. ^ L'UFR a un nouveau Directeur ! (in French), University of Paris, 27 May 2019
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