output
20032026
most citedRobust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

356 citations

Showing 2021Show all

13 papers · 1 filter

cs.CL2021★ 17 cited

Named entity recognition architecture combining contextual and global features

Tran Thi Hong Hanh, Antoine Doucet, Nicolas Sidere +2

Named entity recognition (NER) is an information extraction technique that aims to locate and classify named entities (e.g., organizations, locations,...) within a document into pr…

cs.CE2021★ 21 cited

Searching an optimal experiment observation sequence to estimate the thermal properties of a multilayer wall under real climate conditions

Ainagul Jumabekova, Julien Berger, Aurélie Foucquier +1

The \emph{in situ} estimation of the thermal properties of existing building wall materials is a computationally expensive procedure. Its cost is highly proportional to the duratio…

cs.CE2021★ 25 cited

An efficient sensitivity analysis for energy performance of a building envelope: a continuous derivative based approach

Ainagul Jumabekova, Julien Berger, Aurélie Foucquier

Within the framework of building energy assessment, this article proposes to use a derivative based sensitivity analysis of heat transfer models in a building envelope. Two, global…

cond-mat.mtrl-sci2021★ 9 cited

Time resolved evolution of the 3D nanoporous structure of sintered Ag by X-Ray nanotomography: role of the interface with a copper substrate

Kokouvi Happy N'Tsouaglo, Xavier Milhet, Jérôme Colin +6

The evolution of the nanoporous structure of cylindrical sintered silver samples during high temperature aging, ranging from 200 {\textdegree}C to 350 {\textdegree}C for 350 min, i…

physics.flu-dyn2021

About fluid forces computation for Volume Penalization coupled with Lattice Boltzmann method (VP-LBM)

E. Liberge, C. Béghein

In this paper, two different approaches fluid forces computation approaches are compared in the frame of Volume Penalization - Lattice Boltzmann Method (VP-LBM). The first method,…

cs.CV2021★ 13 cited

Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis

Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri +1

This paper proposes a fusion method of modalities extracted from video through a three-stream network with spatio-temporal and temporal convolutions for fine-grained action classif…