143 citations · 148 across the 4 of their papers we have counts for
6 papers
Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification
Paul Melki, Lionel Bombrun, Boubacar Diallo +2
As deep learning predictive models become an integral part of a large spectrum of precision agricultural systems, a barrier to the adoption of such automated solutions is the lack…
Warped Riemannian metrics for location-scale models
Salem Said, Lionel Bombrun, Yannick Berthoumieu
The present paper shows that warped Riemannian metrics, a class of Riemannian metrics which play a prominent role in Riemannian geometry, are also of fundamental importance in info…
Texture and Color-based Image Retrieval Using the Local Extrema Features and Riemannian Distance
Minh-Tan Pham, Grégoire Mercier, Lionel Bombrun +1
A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to represent and characterize…
Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices
Salem Said, Hatem Hajri, Lionel Bombrun +1
The Riemannian geometry of covariance matrices has been essential to several successful applications, in computer vision, biomedical signal and image processing, and radar data pro…
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices
Salem Said, Lionel Bombrun, Yannick Berthoumieu +1
Data which lie in the space , of symmetric positive definite matrices, (sometimes called tensor data), play a fundamental role in applications inclu…
Parameter Estimation For Multivariate Generalized Gaussian Distributions
F. Pascal, L. Bombrun, J. Y. Tourneret +1
Due to its heavy-tailed and fully parametric form, the multivariate generalized Gaussian distribution (MGGD) has been receiving much attention for modeling extreme events in signal…