Search results for "Image"

showing 10 items of 6818 documents

CovSel

2018

Ensemble methods combine the predictions of a set of models to reach a better prediction quality compared to a single model's prediction. The ensemble process consists of three steps: 1) the generation phase where the models are created, 2) the selection phase where a set of possible ensembles is composed and one is selected by a selection method, 3) the fusion phase where the individual models' predictions of the selected ensemble are combined to an ensemble's estimate. This paper proposes CovSel, a selection approach for regression problems that ranks ensembles based on the coverage of adequately estimated training points and selects the ensemble with the highest coverage to be used in th…

Computer scienceProcess (computing)Phase (waves)Genetic programming02 engineering and technology01 natural sciencesEnsemble learningSet (abstract data type)010104 statistics & probability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPoint (geometry)0101 mathematicsSymbolic regressionAlgorithmSelection (genetic algorithm)Proceedings of the Genetic and Evolutionary Computation Conference
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Set similarity joins on mapreduce

2018

Set similarity joins, which compute pairs of similar sets, constitute an important operator primitive in a variety of applications, including applications that must process large amounts of data. To handle these data volumes, several distributed set similarity join algorithms have been proposed. Unfortunately, little is known about the relative performance, strengths and weaknesses of these techniques. Previous comparisons are limited to a small subset of relevant algorithms, and the large differences in the various test setups make it hard to draw overall conclusions. In this paper we survey ten recent, distributed set similarity join algorithms, all based on the MapReduce paradigm. We emp…

Computer scienceProcess (engineering)General EngineeringJoinsScale (descriptive set theory)02 engineering and technologycomputer.software_genreSet (abstract data type)Range (mathematics)Operator (computer programming)Similarity (network science)020204 information systems0202 electrical engineering electronic engineering information engineeringJoin (sigma algebra)020201 artificial intelligence & image processingData miningcomputerProceedings of the VLDB Endowment
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Object-Oriented Operational Semantics

2016

Operational semantics is one way of providing meaning to an executable language. On a high level of abstraction, operational semantics means to define an interpreter or an abstract machine for the language. In this article, we review the concept of operational semantics in the scope of meta-model-based language definitions and identify challenges and issues. We provide a clean conceptual approach using an object-oriented runtime environment and state change operations, which relies on an underlying abstract virtual machine. We present the approach using a sample language.

Computer scienceProgramming language0102 computer and information sciences02 engineering and technologycomputer.file_formatcomputer.software_genre01 natural sciencesOperational semanticsAbstract machineAction semanticsDenotational semantics010201 computation theory & mathematicsVirtual machine0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingExecutablecomputerInterpreterAbstraction (linguistics)
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Car style-holon recognition in computer-aided design

2019

Abstract Multi-scale design can presumably stimulate greater intelligence in computer-aided design (CAD). Using the style-holon concept, this paper proposes a computational approach to address multi-scale style recognition for automobiles. A style-holon is both a whole—it contains sub-styles of which it is composed—as well as a part of a broader style. In this paper, we first apply a variable precision rough set-based approach to car evaluation and ranking. Secondly, we extracted and subsequently computed the each car's characteristic lines from the CAD models. Finally, we identified style-holons using the property of a double-headed style-holon. A style-holon is necessarily included in a t…

Computer scienceProperty (programming)[SHS.INFO]Humanities and Social Sciences/Library and information sciencesComputational MechanicsCAD02 engineering and technologycomputer.software_genre[SHS]Humanities and Social SciencesSet (abstract data type)0203 mechanical engineeringlcsh:TA1740202 electrical engineering electronic engineering information engineeringComputer Aided DesignEngineering (miscellaneous)ComputingMilieux_MISCELLANEOUSbusiness.industryDesign specificationlcsh:Engineering designComputer Graphics and Computer-Aided DesignHuman-Computer InteractionComputational Mathematics020303 mechanical engineering & transportsRankingModeling and Simulation020201 artificial intelligence & image processingArtificial intelligenceRough setHolarchybusinesscomputer
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A blind mesh visual quality assessment method based on convolutional neural network

2018

International audience

Computer scienceQuality assessmentbusiness.industry[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingPattern recognition02 engineering and technology01 natural sciencesConvolutional neural network[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence010306 general physicsbusinessComputingMilieux_MISCELLANEOUS
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Comparison of digital protocols for the measurement of peri-implant marginal bone loss

2018

Background The measurement of peri-implant marginal bone loss is currently carried out using digital methods of radiographic analysis assisted by various types of software. The purpose of this study was to compare the characteristics of three different softwares: specific radiology software for the development and visualization of radiological images in DICOM format (3Dicom Viewer®), advanced level software for professional editing of bitmap images (or raster graphics) (Adobe Photoshop®), and mid-level software for processing bitmap-type images, programmed in Java and in the public domain (ImageJ®). Material and Methods It was verified that the three softwares used are valid for the measure…

Computer scienceRadiography0206 medical engineering02 engineering and technologyengineering.material03 medical and health sciencesDICOM0302 clinical medicineSoftwareComputer graphics (images)General DentistryProtocol (science)business.industryResearchAdobe030206 dentistrycomputer.file_format:CIENCIAS MÉDICAS [UNESCO]020601 biomedical engineeringVisualizationUNESCO::CIENCIAS MÉDICASengineeringBitmapOral SurgeryRaster graphicsbusinesscomputerJournal of Clinical and Experimental Dentistry
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Dynamic and static computer-guided surgery using the double-factor technique for completely edentulous patients: A dental technique.

2021

A novel computer-assisted surgery (CAS) technique that merges dynamic and static CAS approaches to treat completely edentulous patients with dental implants is described. Radiographic and surgical stents are designed with specific fiducial markers that are recognized by the static and dynamic CAS software program. During the surgical procedure, implants are placed following the static surgical guide and the indications from the dynamic navigation system. This technique combines the advantages of static and dynamic CAS approaches to allow accurate and predictable minimally invasive implant placement.

Computer scienceRadiographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOdontologia03 medical and health sciences0302 clinical medicineSoftwareOral surgeryHumansJaw EdentulousOrthodonticsDental ImplantsImplants dentalsCirurgia oralbusiness.industryComputer guided surgeryComputersDental implantsDental Implantation EndosseousNavigation system030206 dentistryImplant placementSurgery Computer-AssistedDentistryComputer-Aided DesignOral SurgeryMouth EdentulousbusinessFiducial markerThe Journal of prosthetic dentistry
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Special issue on architectures of smart cameras for real-time applications

2016

Smart cameras are embedded vision systems whose primary function is to produce a semantic understanding of the scene and generate a response in the form of application-specific signals and data. They are autonomous vision systems themselves and can be the building blocks of a more complex smart camera network. They are built around high-performance on-chip and on-board computing and communication infrastructure, combining image sensing, real-time image and video processing, and communications into a single embedded device. They can also be interconnected in networks and cooperate to provide access to many views, enabling more challenging applications in fields like visual control, surveilla…

Computer scienceReal-time computingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.TRON ] Engineering Sciences [physics]/Electronics[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.TRON]Engineering Sciences [physics]/ElectronicsComputer graphics[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingPattern recognition (psychology)Multimedia information systemsSmart camera[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSInformation SystemsJournal of Real-Time Image Processing
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An Embedded Real-Time Automatic Lane-Keeping System

2007

Advanced Driver Assistance Systems (ADAS) are safety systems capable of identifying an unavoidable dangerous scenario and reacting coherently. An automatic lane-keeping system is designed to prevent dangerous events when the driver left inadvertently his/her own lane. In this paper a real-time automatic lane-keeping system is proposed. The main features of the system are the lane markers location process as well as the generation of the vehicle's steering angle. The system has been prototyped using the Celoxica RC203 board, equipped with a Xilinx Virtex II FPGA, for real-time processing of real motorway scenes coming from a CCD camera on a moving vehicle. The required processing time is 25,…

Computer scienceReal-time computingFrame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONProcess (computing)Advanced driver assistance systemsSystem safetyIntelligent transportation systemSimulation
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Adapting hierarchical bidirectional inter prediction on a GPU-based platform for 2D and 3D H.264 video coding

2013

The H.264/AVC video coding standard introduces some improved tools in order to increase compression efficiency. Moreover, the multi-view extension of H.264/AVC, called H.264/MVC, adopts many of them. Among the new features, variable block-size motion estimation is one which contributes to high coding efficiency. Furthermore, it defines a different prediction structure that includes hierarchical bidirectional pictures, outperforming traditional Group of Pictures patterns in both scenarios: single-view and multi-view. However, these video coding techniques have high computational complexity. Several techniques have been proposed in the literature over the last few years which are aimed at acc…

Computer scienceReal-time computingGraphics processing unitComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications020207 software engineering02 engineering and technologyData_CODINGANDINFORMATIONTHEORYHierarchical bidirectional picturesScalable Video CodingComputer engineeringMotion estimation0202 electrical engineering electronic engineering information engineeringH.264/AVCVideo codingEncoderContext-adaptive binary arithmetic codingGroup of picturesContext-adaptive variable-length codingEURASIP Journal on Advances in Signal Processing
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