Sailhan, Francoise Stehr, Mark-Oliver
The Internet of the things has reached a stage that enables an easy access to information and services anywhere, anytime. However, such vision still comes with practical limitation mainly relating to limited bandwidth and energy. It is henceforth crucial to devise novel solutions for supporting lightweight networking, data flow and service access s...
Foppiano, Luca Romary, Laurent
This paper presents an attempt to provide a generic named-entity recognition and disambiguation module (NERD) called entity-fishing as a stable online service that demonstrates the possible delivery of sustainable technical services within DARIAH, the European digital research infrastructure for the arts and humanities. Deployed as part of the nati...
Miech, Antoine Alayrac, Jean-Baptiste Bojanowski, Piotr Laptev, Ivan Sivic, Josef
Discriminative clustering has been successfully applied to a number of weakly-supervised learning tasks. Such applications include person and action recognition, text-to-video alignment, object co-segmentation and co-localization in videos and images. One drawback of dis-criminative clustering, however, is its limited scalability. We address this i...
Zhang, Ziran Glaser, Steven D. Watteyne, Thomas Malek, Sami
Historically, the study of mountain hydrology and the water cycle has been largely observational, with meteorological forcing and hydrological variables extrapolated from a few infrequent manual measurements. Recent developments in Internet of Things (IoT) technology are revolutionizing the field of mountain hydrology. Low-power wireless sensor net...
Quirante-Moya, Sarai García-Ibañez, Paula Quirante-Moya, Francisco Villaño, Débora Moreno, Diego A
Published in
Molecules (Basel, Switzerland)
Brassica vegetables and their components, the glucosinolates, have been suggested as good candidates as dietary coadjutants to improve health in non-communicable diseases (NCDs). Different preclinical and clinical studies have been performed in the last decade; however, some concerns have been posed on the lack of established and standardized proto...
Saramito, Pierre
Rheolef is a programming environment for solvingpartial differential equations (PDE) by finite element methods (FEM).Rheolef is botha C++ libraryanda set of commands for unix shell programming.Rheolef expressions bases on the variational formulation of PDEs:polynomial spaces, fields and bilinear formsare C++ types for variables, that can be combin...
Vallée, Brigitte Cesaratto, Eda
Submitted to a journal
HADDOU BENDERBAL, HICHEM Benyoucef, Lyes
International audience
HADDOU BENDERBAL, HICHEM Benyoucef, Lyes
International audience
Louchard, Guy Swan, Yvik
The problem of estimating the number n of distinct keys of a large collection of N data is well known in computer science. A classical algorithm is the adaptive sampling (AS). n can be estimated by R2 J , where R is the final bucket size and J is the final depth at the end of the process. Several new interesting questions can be asked about AS (som...