Search results for "Normal"

showing 10 items of 2571 documents

Short article: Eye movements when reading text messaging (txt msgng)

2009

The growing popularity of mobile-phone technology has led to changes in the way people—particularly younger people—communicate. A clear example of this is the advent of Short Message Service (SMS) language, which includes orthographic abbreviations (e.g., omitting vowels, as in wk, week) and phonetic respelling (e.g., using u instead of you). In the present study, we examined the pattern of eye movements during reading of SMS sentences (e.g., my hols wr gr8), relative to normally written sentences, in a sample of skilled “texters”. SMS sentences were created by using (mostly) orthographic or phonological abbreviations. Results showed that there is a reading cost—both at a local level and at…

Short Message ServicePhysiologymedia_common.quotation_subjectEye movementExperimental and Cognitive PsychologyPhoneticsGeneral MedicinePopularityLinguisticsNeuropsychology and Physiological PsychologyPhysiology (medical)Reading (process)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGText messagingPsychologyGeneral PsychologyNormal readingOrthographymedia_commonQuarterly Journal of Experimental Psychology
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Multi-temporal and Multi-source Remote Sensing Image Classification by Nonlinear Relative Normalization

2016

Remote sensing image classification exploiting multiple sensors is a very challenging problem: data from different modalities are affected by spectral distortions and mis-alignments of all kinds, and this hampers re-using models built for one image to be used successfully in other scenes. In order to adapt and transfer models across image acquisitions, one must be able to cope with datasets that are not co-registered, acquired under different illumination and atmospheric conditions, by different sensors, and with scarce ground references. Traditionally, methods based on histogram matching have been used. However, they fail when densities have very different shapes or when there is no corres…

Signal Processing (eess.SP)FOS: Computer and information sciences010504 meteorology & atmospheric sciencesHyperspectral imagingComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesNormalization (image processing)Computer Science - Computer Vision and Pattern Recognition02 engineering and technology3107 Atomic and Molecular Physics and Optics01 natural sciencesLaboratory of Geo-information Science and Remote SensingComputer vision910 Geography & travelMathematicsDomain adaptationContextual image classificationImage and Video Processing (eess.IV)1903 Computers in Earth SciencesPE&RCClassificationAtomic and Molecular Physics and OpticsComputer Science ApplicationsKernel method10122 Institute of GeographyKernel (image processing)Feature extractionFeature extractionVery high resolutionGraph-based methods1706 Computer Science ApplicationsFOS: Electrical engineering electronic engineering information engineeringLaboratorium voor Geo-informatiekunde en Remote SensingComputers in Earth SciencesElectrical Engineering and Systems Science - Signal ProcessingEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingManifold alignmentbusiness.industryNonlinear dimensionality reductionHistogram matchingKernel methodsPattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingManifold learningArtificial intelligence2201 Engineering (miscellaneous)businessISPRS Journal of Photogrammetry and Remote Sensing
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Smooth Feshbach map and operator-theoretic renormalization group methods

2003

Abstract A new variant of the isospectral Feshbach map defined on operators in Hilbert space is presented. It is constructed with the help of a smooth partition of unity, instead of projections, and is therefore called smooth Feshbach map . It is an effective tool in spectral and singular perturbation theory. As an illustration of its power, a novel operator-theoretic renormalization group method is described and applied to analyze a general class of Hamiltonians on Fock space. The main advantage of the new renormalization group method over its predecessors is its technical simplicity, which it owes to the use of the smooth Feshbach map.

Singular perturbationClass (set theory)010102 general mathematicsMathematical analysisHilbert spaceRenormalization group01 natural sciencesFock spacesymbols.namesakeIsospectralPartition of unity0103 physical sciencessymbolsFunctional renormalization group010307 mathematical physics0101 mathematicsAnalysisMathematical physicsMathematicsJournal of Functional Analysis
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Skewness in individual stocks at different investment horizons

2002

Abstract This paper examines the (a)symmetry of several individual stock returns at different investment horizons: daily, weekly and monthly. While some asymmetries are observed in daily returns, they disappear almost completely in weekly and monthly returns. The explanation for this fact lies in the convergence to normality that takes place when the investment horizon increases. These features allow one to question several financial models; in particular, they question the preference for positive skewness as a factor for investments in stock markets.

SkewnessFinancial economicsmedia_common.quotation_subjectEconomicsFinancial modelingPositive skewnessGeneral Economics Econometrics and Financehealth care economics and organizationsFinanceNormalityStock (geology)media_commonQuantitative Finance
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The Dunkl–Williams constant, convexity, smoothness and normal structure

2008

Abstract In this paper we exhibit some connections between the Dunkl–Williams constant and some other well-known constants and notions. We establish bounds for the Dunkl–Williams constant that explain and quantify a characterization of uniformly nonsquare Banach spaces in terms of the Dunkl–Williams constant given by M. Baronti and P.L. Papini. We also study the relationship between Dunkl–Williams constant, the fixed point property for nonexpansive mappings and normal structure.

Smoothness (probability theory)Applied MathematicsMathematical analysisStructure (category theory)Banach spaceMathematics::Classical Analysis and ODEsCharacterization (mathematics)Fixed-point propertyJames constantSmoothnessNormal structureConvexityPhysics::History of PhysicsDunkl–Williams constantConvexityMathematics::Quantum AlgebraConstant (mathematics)Mathematics::Representation TheoryAnalysisMathematicsJournal of Mathematical Analysis and Applications
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A new weighted normal-based filter for 3D mesh denoising

2018

In this paper, we propose a normal based filtering method for 3D mesh denoising. For this purpose, we compute the new triangle normal vectors by using a weighted sum of the average (smoothness) and the myriad (sharpness) filters in each neighborhood. These weights, that reflect the degree of the surface sharpness, are calculated according to the statistical distribution of the angles between the normal vectors of the triangles. The histogram of the angles between surface normal vectors is accurately fitted by the well known Cauchy distribution. Here, we justify the use of the myriad filter whose estimated value represents the optimum of the location parameter of the investigated distributio…

Smoothness (probability theory)Location parameter[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingCauchy distribution020206 networking & telecommunications020207 software engineering02 engineering and technologyFilter (signal processing)Hausdorff distance[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingHistogram0202 electrical engineering electronic engineering information engineeringPolygon meshNormalAlgorithmComputingMilieux_MISCELLANEOUSComputingMethodologies_COMPUTERGRAPHICSMathematics2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
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Predictive value of the Merrill-Palmer-R Scale applied during the first year of live

2016

Resumen basado en el de la publicación Títulos, resumen y palabras clave en inglés y español El valor predictivo de una escala de desarrollo utilizado durante el primer año de vida es de gran interés en la planificación de las intervenciones tempranas. El valor predictivo de un instrumento es la probabilidad de acertar el diagnóstico de trastorno o retraso en el desarrollo de un niño. Se analizaron las puntuaciones de escala Merrill-Palmer-R (MP-R) en una muestra de 291 niños menores de un año de la Comunidad Valenciana. A pesar de que no se distribuyen normalmente las puntuaciones de la escala MP-R en esta muestra, los resultados predichos eran buenos. Además, las puntuaciones de desarroll…

Social PsychologyScale (ratio)Validez diagnósticaDevelopmental disorderFirst year of lifeSample (statistics)Trastorno del desarrolloValencian communitydesarrollo del niñoDevelopmental psychologyNormal distribution03 medical and health sciences0302 clinical medicineMerrill Palmer R030225 pediatricsStatisticsCut-off pointDevelopmental and Educational Psychology0501 psychology and cognitive sciencesDiagnostic validityRasch model05 social sciencesniño de primera infanciaPredictive valuePunto de cortetest de diagnósticoPsychology050104 developmental & child psychologyplanificación
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The Latvian LGBT Movement and Narratives of Normalization

2019

The article examines the visibility of the LGBT community in Latvian public discourse of the last thirty years and the history of LGBT activism. Special attention is paid to the normalization of same-sex relationships: to the social processes through which ideas and actions of a social group begin crossing the threshold of deviance toward becoming “normal” and acceptable to the majority. The history of Latvian LGBT activism can be seen as a struggle for normalization of the LGBT community and overcoming the effects of its pathologization and criminalization. More than 25 years after the decriminalization of male same-sex relationships, it should be asked why the level of homophobia in socie…

Social groupPoliticsCriminalizationPolitical sciencelanguageNormalization (sociology)LatvianNarrativeGender studiesDecriminalizationDeviance (sociology)language.human_language
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Barreras para escapar de la violencia de género: la mirada de las profesionales. Barriers to escape Violence: the professionals' perspective.

2015

This article addresses, from the perspective of social workers, the difficulties faced by battered women and socially excluded who are living in Valencia’s centers for women’s protection. The following information has been gathered with different research techniques, especially through the use of focus groups and interviews. The most important barriers to escape violence described by the interviewees can be classified as external and internal. The former include stunted social and family networks, the lack of economic resources, the existence of children and the absence of institutional resources. In other words, obstacles related to the social structure. The latter refer to the normalizati…

Social workPerspective (graphical)SocializationNormalization (sociology)Cycle of violenceSociologySocial psychologyFocus groupIdeal (ethics)Cuadernos de Trabajo Social
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Book Review: A Foucauldian Interpretation of Modern Law: From Sovereignty to Normalization and Beyond

2019

Sociology and Political ScienceSovereigntyPhilosophyGeneral Social SciencesNormalization (sociology)LawEpistemologySocial & Legal Studies
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