Search results for "dolo"

showing 10 items of 4274 documents

De la pertinence de l'adjectif "étrangère" en Didactique des Langues-Cultures

2012

Les statuts traditionnellement attribués aux langues (ancienne/moderne, morte/vivante, maternelle/étrangère) continuent de remplir leurs fonctions : opposer, ordonner, identifier acteurs et spécialistes de chaque domaine. De leur côté, « Français Langue Etrangère » et « FLE », après des débuts difficiles, connaissent un succès tel que l’on oublie les idées qu’ils véhiculent et leur adaptation nécessaire à une diversité linguistique et culturelle croissante. Dans le contexte de l’apprentissage effectif et durable des langues-cultures du monde, impossible sans processus de familiarisation, la pertinence de l’adjectif « étrangère » est discutable. Accorder une valeur maximale aux qualificatifs…

FLE méthodologie figement perception familiarisationLlenguatge i llengües Ensenyament
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Remote sensing of sun-induced chlorophyll fluorescence at different scales

2014

In this contribution we present activities and selected results obtained in recent studies and campaigns conducted in the context of the FLuorescence EXplorer (FLEX) mission. FLEX is a candidate mission for the ESA 8th Earth Explorer and large efforts are currently dedicated to the development of an implementation scheme for an accurate mapping of fluorescence from the selected spaceborne sensor and mission configuration. Field and airborne data collected in different experimental campaigns, together with simulated data, have been used to demonstrate the feasibility of fluorescence retrievals and the potential of exploiting high spatial resolution fluorescence maps for a better understandin…

FLORISfield measurementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingContext (language use)Atmospheric modelFLEX missionGeneralLiterature_MISCELLANEOUSRemote sensing (archaeology)Simulated datafield measurementsHyPlantSun-induced chlorophyll fluorescenceHigh spatial resolutionEnvironmental scienceFLEXChlorophyll fluorescenceRemote sensing2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Measurement of the cosmic ray energy spectrum using hybrid events of the Pierre Auger Observatory

2012

The energy spectrum of ultra-high energy cosmic rays above 10$^{18}$ eV is measured using the hybrid events collected by the Pierre Auger Observatory between November 2005 and September 2010. The large exposure of the Observatory allows the measurement of the main features of the energy spectrum with high statistics. Full Monte Carlo simulations of the extensive air showers (based on the CORSIKA code) and of the hybrid detector response are adopted here as an independent cross check of the standard analysis (Phys. Lett. B 685, 239 (2010)). The dependence on mass composition and other systematic uncertainties are discussed in detail and, in the full Monte Carlo approach, a region of confiden…

FLUORESCENCE DETECTORAstronomyAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodenergy spectrumFOS: Physical sciencesGeneral Physics and AstronomyFluxCosmic rayEXTENSIVE AIR-SHOWERSSURFACE DETECTOR01 natural sciencesCosmic RayAugerPierre Auger Observatory ; Monte Carlo simulations ; ultra-high energy cosmic raysHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Observatory0103 physical sciencesRECONSTRUCTIONFermilab010306 general physicsUHE Cosmic Rays Monte Carlo Energy SpectrumTRIGGERNuclear PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsPierre Auger ObservatoryPACS: 96.50.S 96.50.sb 96.50.sd 98.70.Sa010308 nuclear & particles physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Pierre Auger Observatory; Monte Carlo simulations; ultra-high energy cosmic raysPhysicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsPierre Auger ObservatoryPROFILES[PHYS.PHYS.PHYS-SPACE-PH]Physics [physics]/Physics [physics]/Space Physics [physics.space-ph]Experimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGARRAYFísica nuclearAstrophysics - High Energy Astrophysical PhenomenaRAIOS CÓSMICOS
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Search for ultrarelativistic magnetic monopoles with the Pierre Auger Observatory

2016

We present a search for ultra-relativistic magnetic monopoles with the Pierre Auger Observatory. Such particles, possibly a relic of phase transitions in the early universe, would deposit a large amount of energy along their path through the atmosphere, comparable to that of ultrahigh-energy cosmic rays (UHECRs). The air shower profile of a magnetic monopole can be effectively distinguished by the fluorescence detector from that of standard UHECRs. No candidate was found in the data collected between 2004 and 2012, with an expected background of less than 0.1 event from UHECRs. The corresponding 90% confidence level (C.L.) upper limits on the flux of ultra-relativistic magnetic monopoles ra…

FLUORESCENCE YIELDAstronomymagnetic monopolemagnetic fieldAstrophysics7. Clean energy01 natural sciencesObservatoryUHE Cosmic Raysair-showerMonte Carlo010303 astronomy & astrophysicsMagnetic Monopolesmedia_commonPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Settore FIS/01 - Fisica SperimentaleAstrophysics::Instrumentation and Methods for Astrophysicscritical phenomenaFLUORESCENCE YIELD; ENERGY LOSS; DETECTORAugerMagnetic fieldobservatoryLorentz factorComputingMethodologies_DOCUMENTANDTEXTPROCESSINGsymbolsFísica nuclearfluorescenceAstrophysics - High Energy Astrophysical Phenomenaspatial distribution [showers]LorentzENERGY LOSSatmosphere [showers]energyFLUXNuclear and High Energy Physics[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]airmedia_common.quotation_subjectAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]Magnetic monopoleFOS: Physical sciencesCosmic rayNuclear physicssymbols.namesakecosmic rays0103 physical sciencesddc:530High Energy PhysicsDETECTORCiencias Exactasfluorescence [detector]Pierre Auger Observatorybackground010308 nuclear & particles physicsFísicaASTROFÍSICAUniversefluxultrarelativistic magnetic monopolesAir shower13. Climate actionExperimental High Energy PhysicsrelativisticgalaxyENERGY-LOSS
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Polarimetric image augmentation

2021

Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation. On the other hand, these reflections are highly polarized and this extra information can successfully be used to segment the specular areas. In nature, polarized light is obtained by reflection or scattering. Deep Convolutional Neural Networks (DCNNs) have shown excellent segmentation results, but require a significant amount of data to achieve best performances. The lack of data is usually overcomed by using augmentation methods. However, unlike RGB images, polarization images are not only scalar (intensity) images and standard augmentation techniques cann…

FOS: Computer and information sciences0209 industrial biotechnologyAugmentation procedurebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Deep learningComputer Science - Computer Vision and Pattern RecognitionPolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyImage segmentationConvolutional neural networkData modeling[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligenceSpecular reflectionbusiness
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P2D: a self-supervised method for depth estimation from polarimetry

2021

Monocular depth estimation is a recurring subject in the field of computer vision. Its ability to describe scenes via a depth map while reducing the constraints related to the formulation of perspective geometry tends to favor its use. However, despite the constant improvement of algorithms, most methods exploit only colorimetric information. Consequently, robustness to events to which the modality is not sensitive to, like specularity or transparency, is neglected. In response to this phenomenon, we propose using polarimetry as an input for a self-supervised monodepth network. Therefore, we propose exploiting polarization cues to encourage accurate reconstruction of scenes. Furthermore, we…

FOS: Computer and information sciences0209 industrial biotechnologyMonocularComputer sciencebusiness.industryComputer Vision and Pattern Recognition (cs.CV)PolarimetryComputer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology010501 environmental sciences01 natural sciencesRegularization (mathematics)Term (time)020901 industrial engineering & automation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SpecularityRobustness (computer science)Depth mapComputer visionArtificial intelligenceTransparency (data compression)business0105 earth and related environmental sciences
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On the interpretability and computational reliability of frequency-domain Granger causality

2017

This Correspondence article is a comment which directly relates to the paper “A study of problems encountered in Granger causality analysis from a neuroscience perspective” (Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name “causality”, as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them. Furthermore, s…

FOS: Computer and information sciences0301 basic medicineTheoretical computer scienceImmunology and Microbiology (all)Computer scienceTime series analysiMathematics - Statistics TheoryStatistics Theory (math.ST)Statistics - ApplicationsGeneral Biochemistry Genetics and Molecular BiologyMethodology (stat.ME)Causality (physics)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityCorrespondenceFOS: MathematicsApplications (stat.AP)Physiological oscillationGeneral Pharmacology Toxicology and PharmaceuticsTime seriessignal processingStatistical Methodologies & Health Informaticsfrequency-domain connectivityReliability (statistics)Statistics - MethodologyInterpretabilityGranger-Geweke causalityBiochemistry Genetics and Molecular Biology (all)Interpretation (logic)General Immunology and Microbiologybrain connectivityGeneral MedicineArticlesvector autoregressive models030104 developmental biologyMathematics and StatisticsWildcardVector autoregressive modelPharmacology Toxicology and Pharmaceutics (all)Frequency domaintime series analysisspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBrain connectivity; Directed coherence; Frequency-domain connectivity; Granger-Geweke causality; Physiological oscillations; Spectral decomposition; Time series analysis; Vector autoregressive models; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Pharmacology Toxicology and Pharmaceutics (all)directed coherence030217 neurology & neurosurgeryphysiological oscillations
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Designing the Business Conversation Corpus

2020

While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based training technologies, automatic translation of spoken text and dialogues remains challenging even for modern systems. In this paper, we aim to boost the machine translation quality of conversational texts by introducing a newly constructed Japanese-English business conversation parallel corpus. A detailed analysis of the corpus is provided along with challenging examples for automatic translation. We also experiment with adding the corpus in a machine translation training scenario and show how the resulting system benef…

FOS: Computer and information sciences050101 languages & linguisticsComputer Science - Computation and LanguageMachine translationComputer sciencebusiness.industrymedia_common.quotation_subject05 social sciencesAutomatic translation02 engineering and technologycomputer.software_genre0202 electrical engineering electronic engineering information engineeringComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processing0501 psychology and cognitive sciencesConversationQuality (business)Artificial intelligencebusinesscomputerComputation and Language (cs.CL)Natural language processingmedia_common
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Scientific collaborations: Principles of wikibridge design

2010

Semantic wikis, wikis enhanced with Semantic Web technologies, are appropriate systems for community-authored knowledge models. They are particularly suitable for scientific collaboration. This paper details the design principles ofWikiBridge, a semantic wiki.

FOS: Computer and information sciencesArtificial Intelligence (cs.AI)J.3Computer Science - Artificial IntelligenceComputingMethodologies_DOCUMENTANDTEXTPROCESSING[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)
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Denoising Autoencoders for Fast Combinatorial Black Box Optimization

2015

Estimation of Distribution Algorithms (EDAs) require flexible probability models that can be efficiently learned and sampled. Autoencoders (AE) are generative stochastic networks with these desired properties. We integrate a special type of AE, the Denoising Autoencoder (DAE), into an EDA and evaluate the performance of DAE-EDA on several combinatorial optimization problems with a single objective. We asses the number of fitness evaluations as well as the required CPU times. We compare the results to the performance to the Bayesian Optimization Algorithm (BOA) and RBM-EDA, another EDA which is based on a generative neural network which has proven competitive with BOA. For the considered pro…

FOS: Computer and information sciencesArtificial neural networkI.2.6business.industryFitness approximationComputer scienceNoise reductionI.2.8MathematicsofComputing_NUMERICALANALYSISComputer Science - Neural and Evolutionary ComputingMachine learningcomputer.software_genreAutoencoderOrders of magnitude (bit rate)Estimation of distribution algorithmBlack boxComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONNeural and Evolutionary Computing (cs.NE)Artificial intelligencebusinessI.2.6; I.2.8computerProceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
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