Search results for "Image"

showing 10 items of 6818 documents

THE 1-HARMONIC FLOW WITH VALUES IN A HYPEROCTANT OF THE N-SPHERE

2014

We prove the existence of solutions to the 1-harmonic flow — that is, the formal gradient flow of the total variation of a vector field with respect to the [math] -distance — from a domain of [math] into a hyperoctant of the [math] -dimensional unit sphere, [math] , under homogeneous Neumann boundary conditions. In particular, we characterize the lower-order term appearing in the Euler–Lagrange formulation in terms of the “geodesic representative” of a BV-director field on its jump set. Such characterization relies on a lower semicontinuity argument which leads to a nontrivial and nonconvex minimization problem: to find a shortest path between two points on [math] with respect to a metric w…

Unit spherenonconvex variational problemsriemannian manifolds with boundaryGeodesicn-sphereharmonic flows68U1053C2253C4435K9235K67Neumann boundary conditionpartial differential equations49J45MathematicsNumerical Analysisnonlinear parabolic systems; lower semicontinuity and relaxation; total variation flow; 1-harmonic flow; image processing; harmonic flows; partial differential equations; image processing.; geodesics; riemannian manifolds with boundary; nonconvex variational problemslower semicontinuity and relaxation58E20Applied MathematicsMathematical analysis49Q201-harmonic flowimage processingFlow (mathematics)35K55Metric (mathematics)total variation flowVector fieldnonlinear parabolic systemsBalanced flowAnalysisgeodesics
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Bot recognition in a Web store: An approach based on unsupervised learning

2020

Abstract Web traffic on e-business sites is increasingly dominated by artificial agents (Web bots) which pose a threat to the website security, privacy, and performance. To develop efficient bot detection methods and discover reliable e-customer behavioural patterns, the accurate separation of traffic generated by legitimate users and Web bots is necessary. This paper proposes a machine learning solution to the problem of bot and human session classification, with a specific application to e-commerce. The approach studied in this work explores the use of unsupervised learning (k-means and Graded Possibilistic c-Means), followed by supervised labelling of clusters, a generative learning stra…

Unsupervised classificationWeb bot detectionComputer Networks and CommunicationsComputer scienceInternet robot02 engineering and technologyMachine learningcomputer.software_genreWeb trafficWeb serverMachine learning0202 electrical engineering electronic engineering information engineeringArtificial neural networkbusiness.industrySupervised learning020206 networking & telecommunicationsPerceptronWeb application securityWeb botComputer Science ApplicationsSupport vector machineGenerative modelComputingMethodologies_PATTERNRECOGNITIONHardware and ArchitectureSupervised classificationUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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Classification par méthodes d’apprentissage supervisé et faiblement superviséd’images multimodales pour l’aide au diagnostic du lentigo malin en derm…

2021

Carried out in collaboration with the Saint-Étienne University Hospital, this work provides additional information to help the skin diagnosis by providing new decision methods on Lentigo Maligna and Lentigo Maligna Melanoma pathologies. To this end, the modalities regularly used in clinical conditions are made available to this work and are orchestrated within a multimodal process. Among image modalities, may be mentioned the clinical photography, the dermatoscopy, and the confocal reflectance microscopy. Initially, the first steps of this manuscript focus on reflectance confocal microscopy as the work in computer diagnostic assistance is relatively underdeveloped, in particular on the dete…

Upervised learning[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Apprentissage profond[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingLentigo Maligna MelanomaImage classification[INFO.INFO-IM] Computer Science [cs]/Medical ImagingDermatoscopieDermatologyMultimodalité[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Dermatoscopy[INFO.INFO-IM]Computer Science [cs]/Medical ImagingApprentissage faiblement superviséMultimodalityDermatologieFusion de donnéesWeakly supervised learningLentigo MalignaDeep learningApprentissage superviséData fusionMicroscopie confocale par réflectanceClassification d'images[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Confocal reflectance microscopySupervised learning
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Non-periodic Discrete-Spline Wavelets

2015

This chapter describes wavelet analysis in the spaces of discrete splines whose spans are powers of 2. This wavelet analysis is similar to wavelet analysis in the polynomial-spline spaces. The transforms are based on relations between exponential discrete splines from different resolution scales. Generators of discrete-spline wavelet spaces are described. The discrete-spline wavelet transforms generate wavelet transforms in signal space. Practically, wavelet transforms of signals are implemented by multirate filtering of signals by two-channel filter banks with the downsampling factor 2 (critically sampled filter banks). The filtering implementation is accelerated by switching to the polyph…

UpsamplingSpline (mathematics)WaveletComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMathematicsofComputing_NUMERICALANALYSISWavelet transformPolyphase systemData_CODINGANDINFORMATIONTHEORYFilter (signal processing)AlgorithmComputingMethodologies_COMPUTERGRAPHICSExponential function
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Parigi, Barcellona, Firenze: forma e racconto

2004

Monografia, introdotta da F. Indovina e da G. O. Longo, composta da due sezioni. La prima (pagg. 35-139) è costituita da un esteso saggio sulle “immagini urbane” e sulla descrizione di città e di territorio che emerge dai romanzi e dai racconti. La seconda (pagg. 141-226) è composta da una antologia di frammenti letterari (dal XIX secolo, ai giorni nostri), relativi alle tre città studiate. Il lavoro punta a comprendere come, nella procedura analisi/conoscenza/progetto, oltre agli apporti scientifici tradizionali, le “fonti” letterarie siano fondamentali per capire la città e la sua trasformazione, non solo accrescendo il corpus dei documenti, ma tramite una diversa e feconda forma espressi…

Urban images literary fragments PlansSettore ICAR/21 - Urbanistica
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Prediction of user action in moving-target selection tasks

2015

Selection of moving targets is a common, yet complex task in human–computer interaction (HCI), and more specifically in virtual reality (VR). Action prediction has proven to be the most comprehensive enhancement to address moving-target selection challenges. Current predictive techniques, however, heavily rely on continuous tracking of user actions, without considering the possibility that target-reaching actions may have a dominant pre-programmed component—this theory is known as the pre-programmed control theory.Thus, based on the pre-programmed control theory, this research explores the possibility of predicting moving-target selection prior to action execution. Specifically, three level…

User intentionPerformanceDifficulté prospectiveMoving-Target selectionIntentionSélection de cibles en mouvementHuman-Computer interactionLoi de FittsProspective difficultyFitts' LawInteraction homme-Machine[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach

2020

The huge number of modern social network users has made the web a fertile ground for the growth and development of a plethora of recommender systems. To date, recommending a new user profile X to a given user U that could be interested in creating a relationship with X has been tackled using techniques based on content analysis, existing friendship relationships and other pieces of information coming from different social networks or websites. In this paper we propose a recommending architecture - called WhoSNext (WSN) - tested on Twitter and which aim is promoting the creation of new relationships among users. As recent researches show, this is an interesting recommendation problem: for a …

User profileInformation retrievalSocial networkbusiness.industryComputer sciencesocial networkingmedia_common.quotation_subjectTwitterKnowledge engineeringspreading activation network020207 software engineering02 engineering and technologyRecommender systemFriendshipContent analysis0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingData pre-processingRecommender systembusinessWireless sensor networksocial users recommendationmedia_common2020 International Conference on Data Mining Workshops (ICDMW)
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A novel active contour model for unsupervised low-key image segmentation

2013

Published version of an article in the journal: Central European Journal of Engineering. Also available from the publisher at: http://dx.doi.org/10.2478/s13531-012-0050-0 Unsupervised image segmentation is greatly useful in many vision-based applications. In this paper, we aim at the unsupervised low-key image segmentation. In low-key images, dark tone dominates the background, and gray level distribution of the foreground is heterogeneous. They widely exist in the areas of space exploration, machine vision, medical imaging, etc. In our algorithm, a novel active contour model with the probability density function of gamma distribution is proposed. The flexible gamma distribution gives a bet…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Environmental EngineeringComputer scienceMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAerospace EngineeringInitializationScale-space segmentationProbability density functionGamma distributionGeneral Materials ScienceComputer visionactive contour modelElectrical and Electronic Engineeringimage segmentationCivil and Structural EngineeringActive contour modellow-key imageSegmentation-based object categorizationbusiness.industryMechanical EngineeringVDP::Technology: 500::Mechanical engineering: 570Pattern recognitionImage segmentationEngineering (General). Civil engineering (General)Computer Science::Computer Vision and Pattern RecognitionArtificial intelligenceTA1-2040businessOpen Engineering
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An intelligent architecture for service provisioning in pervasive environments

2011

Accepted version of an article from the conference: 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA). Definitive published version available from IEEE: http://dx.doi.org/10.1109/INISTA.2011.5946134 The vision of pervasive environments is being realized more than ever with the proliferation of services and computing resources located in our surrounding environments. Identifying those services that deserve the attention of the user is becoming an increasingly-challenging task. In this paper, we present an adaptive multi-criteria decision making mechanism for recommending relevant services to the mobile user. In this context Relevance is determined b…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Service (systems architecture)business.industrycomputer.internet_protocolComputer scienceMobile computing020206 networking & telecommunicationsContext (language use)02 engineering and technologyService-oriented architectureRecommender systemWorld Wide WebVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 5520202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)Mobile telephonyUser interfacebusinesscomputer
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Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor

2022

The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electrical capacitance tomography (ECT) measurements. The two-dimensional images (along the reactor horizontal and vertical planes) of the fluidized bed are obtained from the CPFD simulations at different operating conditions. The CPFD model was developed in a commercial CPFD software Barracuda Virtual Reactor 20.0.1. The bubble behavior and bed fluidization behavior are characterized form the bubble pro…

VDP::Teknologi: 500Control and OptimizationRenewable Energy Sustainability and the EnvironmentEnergy Engineering and Power TechnologyBuilding and ConstructionElectrical and Electronic Engineeringfluidized bed; bubble diameter; bubble rise velocity; bubble frequency; computational particle fluid dynamic; image processingEngineering (miscellaneous)Energy (miscellaneous)
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