Search results for " Computer Science"

showing 10 items of 3983 documents

Advantage of Quantum Strategies in Random Symmetric XOR Games

2013

Non-local games are known as a simple but useful model which is widely used for displaying nonlocal properties of quantum mechanics. In this paper we concentrate on a simple subset of non-local games: multiplayer XOR games with 1-bit inputs and 1-bit outputs which are symmetric w.r.t. permutations of players.

Computer Science::Computer Science and Game TheoryTheoretical computer scienceSequential gameQuantum pseudo-telepathySimple (abstract algebra)Symmetric gameComputingMilieux_PERSONALCOMPUTINGCombinatorial game theoryRepeated gameTheoryofComputation_GENERALScreening gameQuantumMathematics
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Spectral clustering to model deformations for fast multimodal prostate registration

2012

International audience; This paper proposes a method to learn deformation parameters off-line for fast multimodal registration of ultrasound and magnetic resonance prostate images during ultrasound guided needle biopsy. The method is based on a learning phase where deformation models are built from the deformation parameters of a splinebased non-linear diffeomorphism between training ultrasound and magnetic resonance prostate images using spectral clustering. Deformation models comprising of the eigen-modes of each cluster in a Gaussian space are applied on a test magnetic resonance image to register with the test ultrasound prostate image. The deformation model with the least registration …

Computer Science::Graphics[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingComputer Science::Computer Vision and Pattern RecognitionPhysics::Medical Physics[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-IM] Computer Science [cs]/Medical Imaging
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Support vector machines in engineering: an overview

2014

This paper provides an overview of the support vector machine SVM methodology and its applicability to real-world engineering problems. Specifically, the aim of this study is to review the current state of the SVM technique, and to show some of its latest successful results in real-world problems present in different engineering fields. The paper starts by reviewing the main basic concepts of SVMs and kernel methods. Kernel theory, SVMs, support vector regression SVR, and SVM in signal processing and hybridization of SVMs with meta-heuristics are fully described in the first part of this paper. The adoption of SVMs in engineering is nowadays a fact. As we illustrate in this paper, SVMs can …

Computer Science::Machine LearningBeamformingData processingSignal processingGeneral Computer ScienceContextual image classificationComputer sciencebusiness.industryMachine learningcomputer.software_genreSupport vector machineComputingMethodologies_PATTERNRECOGNITIONKernel methodState (computer science)Artificial intelligenceData miningbusinesscomputerDecoding methodsWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
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Learning by the Process of Elimination

2002

AbstractElimination of potential hypotheses is a fundamental component of many learning processes. In order to understand the nature of elimination, herein we study the following model of learning recursive functions from examples. On any target function, the learning machine has to eliminate all, save one, possible hypotheses such that the missing one correctly describes the target function. It turns out that this type of learning by the process of elimination (elm-learning, for short) can be stronger, weaker or of the same power as usual Gold style learning.While for usual learning any r.e. class of recursive functions can be learned in all of its numberings, this is no longer true for el…

Computer Science::Machine LearningProcess of eliminationGeneralization0102 computer and information sciences02 engineering and technology01 natural sciencesNumberingComputer Science ApplicationsTheoretical Computer ScienceDecidabilityAlgebraComputational Theory and Mathematics010201 computation theory & mathematicsPhysics::Plasma Physics0202 electrical engineering electronic engineering information engineeringRecursive functions020201 artificial intelligence & image processingEquivalence (formal languages)Information SystemsMathematicsInformation and Computation
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A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of Agents

1999

Evaluation of distance or similarity is very important in cooperative problem solving with a group of agents. Distance between problems is used by agents to recognize nearest solved problems for a new problem, distance between solutions is necessary to compare and evaluate the solutions made by different agents, and distance between agents is useful to evaluate weights of the agents to be able to integrate them by weighted voting. The goal of this paper is to develop a similarity evaluation technique to be used for cooperative problem solving with a group of agents. Virtual training environment used for this goal is represented by predicates that define relationships within three sets: prob…

Computer Science::Multiagent SystemsTheoretical computer scienceSimilarity (network science)Computer scienceGroup (mathematics)business.industryStructure (category theory)Weighted votingInformation systemVirtual trainingArtificial intelligencebusinessCooperative problem solving
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Cholesky decomposition techniques in electronic structure theory

2011

We review recently developed methods to efficiently utilize the Cholesky decomposition technique in electronic structure calculations. The review starts with a brief introduction to the basics of the Cholesky decomposition technique. Subsequently, examples of applications of the technique to ab inito procedures are presented. The technique is demonstrated to be a special type of a resolution-of-identity or density-fitting scheme. This is followed by explicit examples of the Cholesky techniques used in orbital localization, computation of the exchange contribution to the Fock matrix, in MP2, gradient calculations, and so-called method specific Cholesky decomposition. Subsequently, examples o…

Computer and Information SciencesTheoretical computer scienceBasis (linear algebra)Computer scienceCalibration (statistics)ComputationAb initioMathematicsofComputing_NUMERICALANALYSISData- och informationsvetenskapKemiType (model theory)Fock matrixChemical SciencesPruning (decision trees)AlgorithmCholesky decomposition
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Restoration of Videos Degraded by Local Isoplanatism Effects in the Near-Infrared Domain

2008

When observing a scene horizontally at a long distance in the near-infrared domain, degradations due to atmospheric turbulence often occur. In our previous work, we presented two hybrid methods to restore videos degraded by such local perturbations. These restoration algorithms take advantages of a space-time Wiener filter and a space-time regularization by the Laplacian operator. Wiener and Laplacian regularization results are mixed differently depending on the distance between the current pixel and the nearest edge point. It was shown that a gradation between Wiener and Laplacian areas improves results quality, so that only the algorithm using a gradation will be used in this article. In …

Computer engineering. Computer hardwareComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRegularization (mathematics)Image (mathematics)Local degradationAdaptive restorationTK7885-7895symbols.namesakeSegmentationComputer visionPixelbusiness.industryWiener filterAtmospheric turbulenceImage and Video ProcessingVideo SurveillanceQA75.5-76.95Video processingElectronic computers. Computer sciencesymbolsGradationComputer Vision and Pattern RecognitionArtificial intelligenceAutomatic segmentationbusinessLaplace operatorSoftwareELCVIA: electronic letters on computer vision and image analysis
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Extension of luminance component based demosaicking algorithm to 4- and 5-band multispectral images

2021

Abstract Multispectral imaging systems are currently expanding with a variety of multispectral demosaicking algorithms. But these algorithms have limitations due to the remarkable presence of artifacts in the reconstructed image. In this paper, we propose a powerful multispectral image demosaicking method that focuses on the G band and luminance component. We've first identified a relevant 4-and 5-band multispectral filter array (MSFA) with the dominant G band and then proposed an algorithm that consistently estimates the missing G values and other missing components using a convolution operator and a weighted bilinear interpolation algorithm based on the luminance component. Using the cons…

Computer engineering. Computer hardwareDemosaicingDemosaicking algorithmComputer scienceMultispectral imageBilinear interpolationQA75.5-76.95General MedicineExtension (predicate logic)Filter (signal processing)Multispectral filter arrayLuminanceConvolutionTK7885-7895G bandElectronic computers. Computer scienceComponent (UML)Weighted bilinear interpolationLuminance componentAlgorithmArray
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Non-Model Based Method for an Automation of 3D Acquisition and Post-Processing

2008

Most of the automation for 3D acquisition concerns objects with simple shape, like mechanical parts. For cultural heritage artefacts, the process is more complex, and it doesn't exist general solution nowadays. This paper presents a method to generate a complete 3D model of cultural heritage artefacts. In a first step, MVC is used to solve the view planning problem. Then, holes remaining in 3D model are detected, and their features are calculated to finish acquisition. Different post-processing are applied on each view to increase quality of the 3D model. This procedure has been tested with simulated scanner, before being implemented on a motion system with five degrees of freedom.

Computer engineering. Computer hardwareEngineering drawingScannerScanners automationComputer sciencemedia_common.quotation_subjectBéns del patrimoni culturalDegrees of freedom (mechanics)TK7885-7895Adquisició de 3DSimple (abstract algebra)view planningAutomatització de ScannersView planningQuality (business)scanners automationmedia_commonbusiness.industryAutomatización de ScannersProcess (computing)Adquisición de 3Dcultural heritage artefactsQA75.5-76.95Bienes del patrimonio culturalPlanificación de VistaAutomationCultural heritageElectronic computers. Computer scienceCultural heritage artefactsComputer Vision and Pattern RecognitionPlanificació de Vistabusiness3D acquisitionSoftwareMotion systemELCVIA Electronic Letters on Computer Vision and Image Analysis
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HTLS Conductors: A Way to Optimize RES Generation and to Improve the Competitiveness of the Electrical Market—A Case Study in Sicily

2018

Stringent environmental constraints make more difficult to identify new energy corridors and build new power lines. The increase in the generation of electricity from renewable energy sources (RESs) makes the operation of electrical systems increasingly difficult in some areas. The transmission system operators (TSOs), in Italy Terna, are forced to exploit the existing overhead transmission lines, increasing the possibility of dispatching energy, in particular RES, optimizing the transmission capacity. Therefore, after a brief presentation of the Sicilian electricity system and a brief description of high-temperature low-sag (HTLS) conductors, a case study is presented. It is shown how it i…

Computer engineering. Computer hardwareGeneral Computer ScienceExploitArticle SubjectComputer sciencebusiness.industry020209 energyOverhead (engineering)02 engineering and technologyReliability engineeringRenewable energyThermal resistant conductor HTLS conductor Electrical marketSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaTK7885-7895Electric power transmissionElectricity generationTransmission (telecommunications)Signal Processing0202 electrical engineering electronic engineering information engineeringElectricityElectrical and Electronic EngineeringResilience (network)businessJournal of Electrical and Computer Engineering
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