Search results for "artificiel"

showing 10 items of 47 documents

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
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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
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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
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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
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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
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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
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A new reading of Bronze Age funerary structures in Mongolia through the analysis of their architectural elements, arrangement and form

2022

The archaeological landscape of Mongolia is marked by the presence of numerous funerary monuments (khirigsuurs) and engraved stelae (deer stones), erected by nomadic populations at the end of the Bronze Age. The first observations indicate great regularity in the choice and arrangement of the architectural and iconographic elements at the time when these structures were built. This regularity suggests the existence of shared traditions and social coherence between nomadic communities in a territory covering almost twice that of France. The data available today do not provide sufficient perspective to establish social models at the level of a province, and even less so at the scale of the co…

Bronze Age3D modelModélisation 3DArchaeologyArchéologieAge du Bronze[SHS.HIST] Humanities and Social Sciences/HistoryMachine learningSpatial analysisImagerie aérienneAnalyse spatialeRemote sensingIntelligence artificielle
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Artificial Intelligence and socio-digital networks: impact study on the dynamics of social movements in France and Romania

2019

Facebook announced the most significant redesign of the platform since 2004, aimed precisely to attracting users to groups and to create "a sense by interacting with the natural and social environment, by networking their neural networks with the networks of the nature and with social networks ”(Castells, 2012, p.8). Is this a“ mirror effect ”of Facebook for its users? To answer this fundamental question, which poses the question of the free will of users and the risks of manipulation of the platform on individuals, I carried out a research from a corpus of thirty-five Facebook groups "yellow vests" French and thirty-five "rezist" groups from Romania. This study therefore asks successively:…

Intelligence ArtificielleGIilets JaunesFacebookReseaux Sociaux[SHS] Humanities and Social Sciences
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Indoor Scene Understanding using Non-Conventional Cameras

2020

Humans understand environments effortlessly, under a wide variety of conditions, by the virtue of visual perception. Computer vision for similar visual understanding is highly desirable, so that machines can perform complex tasks by interacting with the real world, to assist or entertain humans. In this regard, we are particularly interested in indoor environments, where humans spend nearly all their lifetime.This thesis specifically addresses the problems that arise during the quest of the hierarchical visual understanding of indoor scenes.On the side of sensing the wide 3D world, we propose to use non-conventional cameras, namely 360º imaging and 3D sensors. On the side of understanding, …

Intelligence artificielle - Robotique mobile - Vision par ordinateur[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Artificial IntelligenceVision par ordinateur[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Robotique mobile[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionIntelligence artificielleMobile roboticsMobile robotics - Artificial Intelligence - computer vision[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Impacts climatiques induits par un lac artificiel: apport de l'analyse spatial sous R

2015

International audience; La région des chotts, large dépression salée située au Sud de la chaîne montagneuse Atlas Aurès, s'étend entre le Nord Est de l'Algérie et le Sud de la Tunisie. Ces chotts, situés pour la majorité au dessous du niveau de la mer et vu la nature du terrain (sédiments argileux couverts de croûtes de sels et de gypse) et le climat aride de la zone, forment des étendues d'eau salée partiellement immergées pendant la saison pluvieuse mais sont à sec et couverts par une mince pellicule de sels durant le reste de l'année. L'idée de créer dans ces chotts une "Mer intérieure" date de 1874 et consiste à ramener par le biais d'un canal les eaux de la Méditerranée depuis le golfe…

Lac artificiel[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyChangements climatiquesR
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