Search results for "Computation"

showing 10 items of 7362 documents

PORE Algorithm for Object Recognition in Photo Layers based on Parametric Characteristics of the Object Edges

2016

PORE stands for Photo-Object Recognition based on the Edges. Coincidentally, PORE means to examine something carefully and with due attention, so "we pore over the object layers in search for information about their characteristics with the aim at improving image recognition process". Therefore, this study presents a novel approach to object recognition based on the pattern by using photo layers and by defining the objects' specific characteristics. We select and introduce the parameters which determine a higher efficiency of image retrieval of the image objects. In this paper, we describe how the same photos are recognized in a process of classical retrieval compared to our model by analyz…

Similarity (geometry)Matching (graph theory)Computer sciencebusiness.industry3D single-object recognitionpattern recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionImage processingPattern recognitionoptimization algorithmObject (computer science)bitmapsimage retrievalimage processingPattern recognition (psychology)computational intelligenceComputer visionArtificial intelligencebusinessImage retrievalAlgorithm
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An Online Metric Learning Approach through Margin Maximization

2011

This work introduces a method based on learning similarity measures between pairs of objects in any representation space that allows to develop convenient recognition algorithms. The problem is formulated through margin maximization over distance values so that it can discriminate between similar (intra-class) and dissimilar (inter-class) elements without enforcing positive definiteness of the metric matrix as in most competing approaches. A passive-aggressive approach has been adopted to carry out the corresponding optimization procedure. The proposed approach has been empirically compared to state of the art metric learning on several publicly available databases showing its potential bot…

Similarity (geometry)business.industryComputationDimensionality reductionSemi-supervised learningMachine learningcomputer.software_genrek-nearest neighbors algorithmPositive definitenessMetric (mathematics)Artificial intelligenceRepresentation (mathematics)businesscomputerMathematics
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"Table 126" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 133.00 GeV.

Single Differential Cross Section133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear ExperimentDSIG/DPLANARITY
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"Table 130" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 189.00 GeV.

Single Differential Cross Section189.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear ExperimentDSIG/DPLANARITY
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"Table 132" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 206.00 GeV.

Single Differential Cross Section206.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear ExperimentDSIG/DPLANARITY
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"Table 127" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 161.00 GeV.

Single Differential Cross SectionAstrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear Experiment161.0DSIG/DPLANARITY
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"Table 131" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 200.00 GeV.

Single Differential Cross SectionAstrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear Experiment200.0DSIG/DPLANARITY
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"Table 128" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 172.00 GeV.

Single Differential Cross SectionAstrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear ExperimentDSIG/DPLANARITY172.0
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"Table 129" of "Studies of QCD at e+ e- centre-of-mass energies between 91-GeV and 209-GeV."

2004

Planarity distribution at c.m. energy 183.00 GeV.

Single Differential Cross SectionAstrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentComputer Science::Computational GeometryNuclear ExperimentDSIG/DPLANARITY183.0
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Site symmetry approach applied to the supercell model of MgAl2O4 spinel with oxygen interstitials: Ab initio calculations

2018

This study has been carried out within the framework of the EUROfusion Consortium and has been provided funding from the Euratom research and training programme 2014-2018 under grant agreement No 633053. The authors are indebted to E.A. Kotomin, A.I. Popov and R. Vila for stimulating discussions. The views and opinions expressed herein do not necessarily reflect those of the European Commission. Calculations have been performed using both the Marconi supercomputer system at the Computational Simulation Centre (Italy) and the Computer Center of St. Petersburg State University.

Single neutral oxygen interstitialMaterials scienceGeneral Computer ScienceBand gapSite symmetryGeneral Physics and Astronomy02 engineering and technologyengineering.material010402 general chemistry01 natural sciencesMolecular physicsPhysics::GeophysicsCrystalCondensed Matter::Materials ScienceLattice constantPerfect crystalAb initio quantum chemistry methods:NATURAL SCIENCES:Physics [Research Subject Categories]General Materials ScienceBulk modulusSpinelMgAl2O4 spinelGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesComputational MathematicsMechanics of MaterialsengineeringWyckoff positions0210 nano-technologyFirst principles calculations
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