Search results for "ciel"

showing 10 items of 276 documents

La formation glaciaire de la Mambéré (République Centrafricaine) : reconstitution paléogéographique et implications à l'échelle du Paléozoïque africa…

1992

L'analyse stratigraphique et sedimentologique de la Formation de la Mambere, unite horizontale situee dans l'Ouest et le Sud-Ouest de la Republique Centrafricaine, a apporte des arguments en faveur de l'origine glaciaire des depots; une reconstitution paleogeographique a ete esquissee en vue de preciser l'âge de la formation. Deux grandes categories de depots glaciaires ont ete identifiees: L'origine meridionale du materiel detritique est demontree par l'analyse exoscopique des quartz et l'etude des mineraux lourds. Ce materiel provient essentiellement du demantelement du Complexe Schistoquartzitique precambrien, et accessoirement du Complexe Granito-gneissique. D'apres les trajectoires du …

ANALYSE DE CORRESPONDANCEANALYSE FACTORIELLEGeneral Earth and Planetary SciencesLITHOLOGIESTRATIGRAPHIEFORMATION SUPERFICIELLESEDIMENTOLOGIEPALEOZOIQUEHumanitiesGeologyMINERALPALEOGEOGRAPHIE
researchProduct

Dzieje organów w kościele parafialnym w Niemczy

2018

Pierwsze wzmianki o organach w kościele parafialnym w Niemczy pochodzą z przełomu XVI i XVII wieku. W latach 1597–1598 niewielki instrument wybudował Abraham Grasse. W 1617 roku ten sam organmistrz postawił nowe organy, liczące sześć głosów w manuale i trzy w pedale. Strawił je pożar w 1633 roku. W 1648 roku do odbudowanego kościoła zakupiono używany pozytyw. W 1725 roku świątynia wzbogaciła się o 20-głosowe organy wybudowane przez Ignatzego Mentzla. Służyły one parafii do 1852 roku, wówczas zamknięto, a następnie rozebrano kościół. Organy znajdujące się w obecnej świątyni pochodzą z 1866 roku i są dziełem Gottfrieda Riemera z Brzegu. Miały pierwotnie 18 głosów i mechaniczną trakturę rejest…

Abraham Grassechurch musicorganySauermuzyka kościelnaNiemczaorgansGottfried RiemerIgnatz MentzelŚwidnickie Studia Teologiczne
researchProduct

Langage et Apprentissage en Interaction pour des Assistants Numériques Autonomes - Une Approche Développementale

2021

The rapid development of digital assistants (DA) opens the way to new modes of interaction. Some DA allows users to personalise the way they respond to queries, in particular by teaching them new procedures. This work proposes to use machine learning methods to enrich the linguistic and procedural generalisation capabilities of these systems. The challenge is to reconcile rapid learning skills, necessary for a smooth user experience, with a sufficiently large generalisation capacity. Though this is a natural human ability, it remains out-of-reach for artificial systems and this leads us to approach these issues from the perspective of developmental Artificial Intelligence. This work is thus…

Apprentissage en interaction[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Langage naturelApprentissage automatique Machine Learning[SCCO.COMP]Cognitive science/Computer science[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][SCCO.LING]Cognitive science/Linguistics[STAT.ML] Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Digital assistantsCognition[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Natural languageInteractive learning[SCCO.COMP] Cognitive science/Computer scienceMachine learning[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]Intelligence artificielle développementale[SCCO.LING] Cognitive science/Linguistics[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]developmental artificial intelligenceAssistant Numérique
researchProduct

Conception d'architectures compactes pour la détection spatiotemporelle d'actions en temps réel

2022

This thesis tackles the spatiotemporal action detection problem from an online, efficient, and real-time processing point of view. In the last decade, the explosive growth of video content has driven a broad range of application demands for automating human action understanding. Aside from accurate detection, vast sensing scenarios in the real-world also mandate incremental, instantaneous processing of scenes under restricted computational budgets. However, current research and related detection frameworks are incapable of simultaneously fulfilling the above criteria. The main challenge lies in their heavy architectural designs and detection pipelines to extract pertinent spatial and tempor…

Artificial intelligenceApprentissage profond[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingDeep learningDétection d'actionsIntelligence artificielleAction detection
researchProduct

Exploiting deep learning algorithms and satellite image time series for deforestation prediction

2022

In recent years, we have witnessed the emergence of Deep Learning (DL) methods, which have led to enormous progress in various fields such as automotive driving, computer vision, medicine, finances, and remote sensing data analysis. The success of these machine learning methods is due to the ever-increasing availability of large amounts of information and the computational power of computers. In the field of remote sensing, we now have considerable volumes of satellite images thanks to the large number of Earth Observation (EO) satellites orbiting the planet. With the revisit time of satellites over an area becoming shorter and shorter, it will probably soon be possible to obtain daily imag…

Artificial intelligenceDeforestation predictionRéseaux de neurones récurrentsApprentissage profondRecurrent neural networks[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage time seriesDeep learningSatellite imagesSéries temporelles d'imagesIntelligence artificiellePrédiction déforestationImages satellitaires
researchProduct

Real-time micro-expression analysis by artificial vision

2022

Human-computer interaction technologies focus more and more on the human being, whether it is on his identity, or on his physical and mental state. Significant progress has been made in the last few decades. However, the study of thoughts and emotions is still an underdeveloped field, but one that has begun to gain considerable interest. In this field, the analysis of facial expressions is the preferred treatment.Unlike a macro-expression, which is visible to the eye, a micro-expression is a type of involuntary facial expression that is extremely rapid and of very low intensity. The computer vision scientific community has been studying ways to automatically recognize micro-expressions usin…

Artificial intelligence[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingVision par ordinateurMachine learningComputer visionEmotional artificial intelligenceApprentissage automatiqueIntelligence artificielleIntelligence artificielle émotionnelle
researchProduct

Traitement de données RGB et Lidar à extrêmement haute résolution: retombées de la compétition de fusion de données 2015 de l'IEEE GRSS - Partie A / …

2016

International audience; In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource studies. The 2015 edition of the contest proposed a multiresolution and multisensorial challenge involving extremely high-resolution RGB images and a three-dimensional (3-D) LiDAR point cloud. The competition was framed in two parallel tracks, considering 2-D and 3-D products, respectively. In this paper, we discuss the sci…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceMULTIMODAL-DATA FUSIONGeophysics. Cosmic physics0211 other engineering and technologies02 engineering and technologyCONTESTcomputer.software_genre01 natural sciencesOutcome (game theory)LIDARTraitement des imagesIMAGE ANALYSIS AND DATA FUSION (IADF)DEEP NEURAL NETWORKSDeep neural networksTraitement du signal et de l'imageMULTIRESOLUTION910 Geography & travelMultiresolutionGround truthLANDCOVER CLASSIFICATIONIMAGE AERIENNE1903 Computers in Earth SciencesBenchmarkingVision par ordinateur et reconnaissance de formesOcean engineering10122 Institute of GeographyLidarDeep neural networksData miningExtremely high spatial resolutionMultimodal-data fusionLiDARComputers in Earth Sciences; Atmospheric ScienceImage analysis and data fusion (IADF)EXTREMELY HIGH SPATIAL RESOLUTIONCLASSIFICATIONTRAITEMENT IMAGE1902 Atmospheric ScienceAPPRENTISSAGE STATISTIQUEComputers in Earth SciencesTELEDETECTIONSynthèse d'image et réalité virtuelleTC1501-1800021101 geological & geomatics engineering0105 earth and related environmental sciencesLandcover classificationmultiresolution-[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]QC801-809Intelligence artificielleMULTISOURCESensor fusionRGB color modelcomputerMultisource
researchProduct

Intégration d'une bouche artificielle dans un système de prélèvement Gilson

2007

BOUCHE ARTIFICIELLEMODELISATION CAO[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringGILSONSTIMULATEUR DE MASTICATION[SDV.IDA] Life Sciences [q-bio]/Food engineering
researchProduct

Modelling and development of a generic observatory to harvest and analyze big data

2021

Big Data fascinate, both because of the value they hold that can provide a significant advantage in decision-making, and because of the challenges that their exploitation represents. These challenges are present at several levels of analytics workflows. At the level of the creation of software architectures, the volume and the velocity require at least enough performance to handle the ingestion and storage of data. The data variety has also an impact, as several new storage systems have emerged, each one corresponding to a specific need. The polystores are systems that integrate this diversity, to gain flexibility compared to the data warehouses, now too rigid. However, this diversification…

Big DataStream processing[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]TenseursData modelsCategory TheoryArchitectures logiciellesTensorsThéorie des catégoriesDonnées massivesModèles de donnéesSoftware Architectures
researchProduct

Abraham Bloemaert, in G. C. SCIOLLA (a cura di), Cielo terra e acque: il paesaggio nella pittura fiamminga e olandese tra Cinquecento e Seicento, Tor…

2006

Abraham Bloemaert, in G. C. SCIOLLA (a cura di), Cielo terra e acque: il paesaggio nella pittura fiamminga e olandese tra Cinquecento e Seicento, Torino, Elede, 2006 p. 35-133

Bloemart pittura fiamminga pittura olandese paesaggio cinquecento seicento cielo terraacqueSettore L-ART/02 - Storia Dell'Arte Moderna
researchProduct