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Publications

Affichage des publications 21 à 30 sur 1024 au total

Mathematics

Iteratively Reweighted Least Squares for Phase Unwrapping

The 2D phase unwrapping problem seeks to recover a phase image from its observation modulo 2$\pi$, and is a crucial step in a variety of imaging applications. In particular, it is one of the most time-consuming steps in the interferometric synthetic…

Benjamin Dubois-Taine, Roland Akiki, Alexandre d'Aspremont

Optimization and Control

Constrained Approximate Optimal Transport Maps

We investigate finding a map g within a function class G that minimises an Optimal Transport (OT) cost between a target measure ν and the image by g of a source measure µ. This is relevant when an OT map from µ to ν does not exist or does not…

Eloi Tanguy, Agnès Desolneux, Julie Delon

Statistics

Subspace clustering sur données incomplètes par imputation multiple

Nous nous intéressons à la classification non supervisée en grande dimension en présence d'observations incomplètes. Nous proposons une approche d'imputation multiple avec comme modèle d'analyse la méthode Reduced KMeans de subspace clustering. L…

Yasmine Agliz, Vincent Audigier, Mohamed Nadif, Ndèye Niang

29èmes Rencontres de la Société Francophone de Classification -

Numerical Analysis

Repulsive Shells

This paper develops a shape space framework for collision-aware geometric modeling, where basic geometric operations automatically avoid inter-penetration. Shape spaces are a powerful tool for surface modeling, shape analysis, nonrigid motion…

Josua Sassen, Henrik Schumacher, Martin Rumpf, Keenan Crane

ACM Transactions on Graphics -

Biomechanics

Some mathematical models for flagellar activation mechanisms

This paper focuses on studying a model for molecular motors responsible for the bending of the axoneme in the flagella of microorganisms. The model is a coupled system of partial differential equations inspired by Jülicher et al. or Camalet,…

François Alouges, Irene Anello, Antonio Desimone, Aline Lefebvre-Lepot, Jessie Levillain

Engineering Sciences

Cable force estimation method based on UAVs and EMD

To solve the problems of difficulty in deploying accelerometers in traditional cable force measurement, this paper proposes a cable force measurement method based on unmanned aerial vehicles (UAVs). This method first uses the Kanade-Lucas-Tomasi …

Wenjun Luo, Shufan Cai, Limei Zeng, Gongfa Chen, David Bassir

International Journal for Simulation and Multidisciplinary Design Optimization -

Machine Learning

Leveraging Graph Neural Networks to Forecast Electricity Consumption

Accurate electricity demand forecasting is essential for several reasons, especially as the integration of renewable energy sources and the transition to a decentralized network paradigm introduce greater complexity and uncertainty. The proposed…

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 -