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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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- Publication Combining Parallel Emptiness Checks with Partial Order Reductions in Proceedings of the 21st International Conference on Formal Engineering Methods (ICFEM'19) — 2 August 2019
- Ludovic Le Frioux defends his PhD thesis "Towards more efficient parallel SAT solving" at EPITA at 2 pm. — 3 July 2019
- LRDE Student Seminar : 2021 students present their work. — 2 July 2019
You can find the programme here. Seminars are free and open to anyone.
- RDI Student Seminar : 2020 students present their work. — 1 July 2019
You can find the programme here. Seminars are free and open to anyone.
- Publication Braids of Partitions for the Hierarchical Representation and Segmentation of Multimodal Images in Pattern Recognition — 1 July 2019
- Publication One More Step Towards Well-Composedness of Cell Complexes over n-D Pictures in Proceedings of the 21st International Conference on Discrete Geometry for Computer Imagery (DGCI) — 18 June 2019
- Publication Filtres connexes multivariés par fusion d'arbres de composantes in Proceedings of the 27st Symposium on Signal and Image Processing (GRETSI) — 14 June 2019
- Publication Estimation du niveau de bruit par arbre des formes et statistiques non paramétriques in Proceedings of the 27st Symposium on Signal and Image Processing (GRETSI) — 14 June 2019
- Publication Estimating the noise level function with the tree of shapes and non-parametric statistics in Proceedings of the 18th International Conference on Computer Analysis of Images and Patterns (CAIP) — 7 June 2019
- Publication Benchmark on Automatic 6-month-old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge in IEEE Transactions on Medical Imaging — 11 April 2019
