Search results for "020201 artificial intelligence & image processing"

showing 7 items of 1827 documents

Method and Practical Guidelines for Overcoming Enterprise Architecture Adoption Challenges

2017

During the last few years, interest towards Enterprise Architecture (EA) has increased, not least due to anticipated benefits resulting from adopting it. For instance, EA has been argued to provide cost reduction, technology standardisation, process improvement, and strategic differentiation. Despite these benefits, the EA adoption rate and maturity are still low. Consequently, EA benefits are not realised. A major reason hindering the adoption is that EA is not understood correctly. This paper aims for minimising the effect of the lack of understanding EA to adopting EA. Based on the research conducted in Finnish public sector, we propose an improved Enterprise Architecture Adoption Method…

toimintaohjeetKnowledge managementProcess managementbusiness.industryComputer sciencedesign scienceComputingMethodologies_MISCELLANEOUS05 social sciencesPublic sectorDelphi methodEnterprise integrationEnterprise architecture02 engineering and technologyEnterprise information security architectureDesign scienceDelphiCost reductionEnterprise architecture management0502 economics and business0202 electrical engineering electronic engineering information engineeringadoption method020201 artificial intelligence & image processingkokonaisarkkitehtuuribusiness050203 business & management
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Measuring syntactic complexity in learner Finnish

2020

In the study of complexity, accuracy and fluency (CAF), syntactic complexity can be measured by a multitude of measures. Traditionally, the measures are quantitative and they use production units such as words, clauses, T -units, and sentences. Despite the vast number o f measures available, many studies have used only one or two of them, or parallel ones tapping the same component of complexity. The present study explores syntactic complexity using seven frequently used quantitative complexity measures to gauge different facets of complexity in written learner Finnish. The data of the study consist of texts written by adult and adolescent language learners, and they cover proficiency level…

toinen kieli050101 languages & linguistics02 engineering and technologycomputer.software_genreArticleTask (project management)Language learnerFluencyGauge (instrument)Component (UML)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive scienceskielen oppiminenlearner Finnishbusiness.industry05 social sciencesSyntactic complexitykielitaitoGeneral MedicineL2 writing020201 artificial intelligence & image processingArtificial intelligencebusinessPsychologycomplexitycomputerNatural language processing
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Some Remarks about Product Spaces

2018

Summary This article covers some technical aspects about the product topology which are usually not given much of a thought in mathematics and standard literature like [7] and [6], not even by Bourbaki in [4]. Let {Ti}i∈I be a family of topological spaces. The prebasis of the product space T = ∏ i∈I Ti is defined in [5] as the set of all π −1 i (V) with i ∈ I and V open in Ti . Here it is shown that the basis generated by this prebasis consists exactly of the sets ∏ i∈I Vi with Vi open in Ti and for all but finitely many i ∈ I holds Vi = Ti . Given I = {a} we have T ≅ Ta , given I = {a, b} with a≠ b we have T ≅ Ta ×Tb . Given another family of topological spaces {Si}i∈I such that Si ≅ Ti fo…

topologyApplied Mathematics020207 software engineering02 engineering and technology54b1068t99TopologyComputational Mathematics03b35Product (mathematics)QA1-9390202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingproduct spacesMathematicsTopology (chemistry)MathematicsFormalized Mathematics
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Anonymization as homeomorphic data space transformation for privacy-preserving deep learning

2021

Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…

topologyComputer scienceneural network02 engineering and technologyneuroverkotMachine learningcomputer.software_genreprivacyServeryksityisyys0202 electrical engineering electronic engineering information engineeringAdded valueesineiden internetindustry 4.0topologiaGeneral Environmental ScienceArtificial neural networkbusiness.industryDeep learningdeep learning020206 networking & telecommunicationsData spaceTransformation (function)koneoppiminenGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligencetiedonlouhintabusinesscomputer
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Skeleton-Based Multiview Reconstruction

2016

International audience; The advantage of skeleton-based 3D reconstruction is to completely generate a single 3D object from well chosen views. Having numerous views is necessary for a reliable reconstruction but projections of skeletons lead to different topologies. We reconstruct 3D objects with curved medial axis (whose topology is a tree) from the perspective skeletons on an arbitrary number of calibrated acquisitions. The main contribution is to estimate the 3D skeleton, from multiple images: its topology is chosen as the closest to those of the perspective skeletons on the set of images, which means that the number of topology changes to map the 3D skeleton topology to topologies on im…

topologyreconstruction[SPI] Engineering Sciences [physics]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyIterative reconstructionSkeleton (category theory)Network topologyGraph-edit distanceTopology[SPI]Engineering Sciences [physics]Traitement des imagesMedial axis[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Traitement du signal et de l'imageComputer visionSynthèse d'image et réalité virtuelleTopology (chemistry)SkeletonMathematicsComputingMethodologies_COMPUTERGRAPHICSbusiness.industry3D reconstructionPerspective (graphical)020207 software engineeringVision par ordinateur et reconnaissance de formesIntelligence artificielle[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Shock graphs[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]graph-edit distance020201 artificial intelligence & image processingTopological skeletonArtificial intelligenceShapesReconstructionbusiness
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Application of the Information Bottleneck method to discover user profiles in a Web store

2018

The paper deals with the problem of discovering groups of Web users with similar behavioral patterns on an e-commerce site. We introduce a novel approach to the unsupervised classification of user sessions, based on session attributes related to the user click-stream behavior, to gain insight into characteristics of various user profiles. The approach uses the agglomerative Information Bottleneck (IB) algorithm. Based on log data for a real online store, efficiency of the approach in terms of its ability to differentiate between buying and non-buying sessions was validated, indicating some possible practical applications of the our method. Experiments performed for a number of session sampl…

unsupervised classificationComputer science02 engineering and technologyE-commerceCustomer profile020204 information systems0202 electrical engineering electronic engineering information engineeringe-commerceWeb storeCluster analysisUser profileInformation retrievalbusiness.industrycustomer profileBehavioral patternInformation bottleneck methoddata miningComputer Science Applicationsmachine learningComputational Theory and MathematicsAgglomerative Information Bottleneck020201 artificial intelligence & image processinguser profilebusinessclusteringInformation SystemsJournal of Organizational Computing and Electronic Commerce
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Systems Approaches in the Enterprise Architecture Field of Research: A Systematic Literature Review

2018

This study explores the use of the systems approaches (systems thinking and systems theories) as the theoretical underpinnings for Enterprise Architecture (EA) research. Both the academic and the practitioner communities have maintained an interest in EA due to its potential benefits, promising for the recent technological and business advances. EA as a research area is, however, characterized by diversified views depicted in different definitions of the concept, and no acknowledged common theoretical foundation. A number of prior studies have noticed this gap in the EA field of research, and called for a strengthening of the theory of EA. Variegated systems approaches have been suggested a…

yritysarkkitehtuuriliterature reviewComputer scienceManagement scienceComputingMethodologies_MISCELLANEOUSFoundation (evidence)Enterprise architecture02 engineering and technologySystems approachesField (geography)systems approachesEmpirical researchSystematic reviewSystems theorysysteemiteoria020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSystems thinkingkokonaisarkkitehtuurisystems theorysysteemiajattelu
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