Consulter le flux RSS

Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 701 à 710 sur 1397 au total

Computer Vision and Pattern Recognition

Demo system of the Image Processing On Line (IPOL) journal

Miguel Colom, Matías Abal, Jérémy Anger, José Arrecio, Martín Arévalo, Carlos Escobar, Vincent Firmin, Frédéric Glorieux, Stéphane Gratias, Karl Krissian, Nicolas Limare, Héctor Macías, Alexis Mongin, Nelson Monzón, Jyotsna Rajan

Machine Learning

Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces

Locally Linear Embedding is a dimensionality reduction method which relies on the conservation of barycentric alignments of neighbour points. It has been designed to learn the intrinsic structure of a set of points of a Euclidean space lying close…

Elodie Maignant, Alain Trouvé, Xavier Pennec

GSI 2023: Geometric Science of Information -

Numerical Analysis

A limiting model for a low Reynolds number swimmer with N passive elastic arms

We consider a low Reynolds number artificial swimmer that consists of an active arm followed by N passive springs separated by spheres. This setup generalizes an approach proposed in Montino and DeSimone, Eur. Phys. J. E, vol. 38, 2015. We further…

François Alouges, Aline Lefebvre-Lepot, Jessie Levillain

Mathematics in Engineering -

Numerical Analysis

Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets

We introduce a novel harmonic analysis for functions defined on the vertices of a strongly connected directed graph (digraph) of which the random walk operator is the cornerstone. As a first step, we consider the set of eigenvectors of the random…

Harry Sevi, Gabriel Rilling, Pierre Borgnat

Applied and Computational Harmonic Analysis -

Statistics

Optimal transport between GMM for multiscale texture synthesis

Using optimal transport in image processing tasks has become very popular. However, it still faces difficult computational issues when dealing with high-dimensional distributions. We propose here to use the recently introduced GMM-OT formulation,…

Julie Delon, Agnès Desolneux, Laurent Facq, Arthur Leclaire

International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) -

Machine Learning

Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning

Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at…

Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger

EDM 2023 - 16th International Conference on Educational Data Mining -

Computation

Experimental Improvements of Global Optimization Algorithms for Lipschitz Functions

In this paper, we define an experimental context in which we tested the performances of LIPO and AdaLIPO, two global optimization algorithms for Lipschitz functions, introduced in [10]. We provide experimental proofs of the efficiency of those…

Perceval Beja-Battais, Gaëtan Serré, Sophia Chirrane

Image Processing On Line -

Life Sciences

A new score combining compound muscle action potential (CMAP) amplitudes and motor score is predictive of motor outcome after AVXS-101 (Onasemnogene Abeparvovec) SMA therapy

Spinal muscular atrophy 1 (SMA1) is a severe early genetic disease with degeneration of motor neurons. Motor development is still suboptimal after gene replacement therapy in symptomatic patients. In this study, compound muscle action potential …

Rémi Pierre Marie Barrois, Christine Barnerias, Elodie Deladrière, V. Leloup-Germa, Brian Tervil, Frédérique Audic, Christophe Boulay, Claude Cances, Pascal Cintas, Jean Baptiste Davion, Caroline Espil-Taris, Véronique Manel, Yann Pereon, Julie Piarroux, Susana Quijano Roy, Carole Vuillerot, Ulrike Walther-Louvier, Isabelle Desguerre, Cyril Gitiaux

Neuromuscular Disorders -

Biomechanics

Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks

The objective of this systematic review is to identify motion analysis parameters measured during challenging walking tasks which can predict fall risk in the older population. Numerous studies have attempted to predict fall risk from the motion…

Rosemary Dubbeldam, Yu Yuan Lee, Juliana Pennone, Luis Mochizuki, Charlotte Le Mouel

European Review of Aging and Physical Activity -