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From LRDE
The LRDE is a research laboratory under the tutelage of EPITA, Graduate School of Computer Science.
Our main areas of expertise are « Image processing and pattern recognition » and « Automata and verification » with a transverse research axis « Performance and genericity ».
Building on its solid scientific production and academic collaborations, the laboratory has industrial contracts, conducts internal research projects and participates in collaborative academic research projects.
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- LRDE Seminar on Performance and Genericity - An Introduction to Topological Data Analysis with the Topology ToolKit — 12 May 2021
- by Julien Tierny, Sorbonne Université
- Publication A Corpus Processing and Analysis Pipeline for Quickref in 14th European Lisp Symposium — 1 May 2021
- Publication A Portable, Simple, Embeddable Type System in European Lisp Symposium — 26 April 2021
- LRDE Seminar on Performance and Genericity - Contributions to Boolean satisfiability solving and its application to the analysis of discrete systems — 31 March 2021
by Souheib Baarir, Université Paris VI
- Seminar on « Mathematical morphology, AI and astrometry » held at EPITA — 5 March 2021
E. Puybareau and G. Tochon from LRDE invite the Pegase team from IMCCE to present the respective themes of the two communities (image processing and AI for the former, astronomy for the latter) and to discuss their possible interactions.
- Publication Stability of the Tree of Shapes to Additive Noise in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 2 March 2021
- Publication A New Matching Algorithm between Trees of Shapes and its Application to Brain Tumor Segmentation in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 2 March 2021
- Publication An Equivalence Relation between Morphological Dynamics and Persistent Homology in n-D in Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 2 March 2021
- Publication Deep Learning for Detection and Segmentation of Artefact and Disease Instances in Gastrointestinal Endoscopy in Medical Image Analysis — 24 February 2021
- Publication Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation in IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM) — 16 February 2021
