Search results for "Discriminant"

showing 10 items of 344 documents

Overlapped moving windows followed by principal component analysis to extract information from chromatograms and application to classification analys…

2015

Variable generation from chromatograms is conveniently accomplished using unsupervised rather than manual techniques. With unsupervised techniques, there is no need for selecting a few peaks for manual integration and valuable information is quickly and efficiently collected. The generation of variables can be performed by using either peak searching or moving window (MW) strategies. With a MW approach, the peaks are ignored and many variables, only part of them carrying information, are generated. Thus, variable generation by MWs should be followed by data compression to generate the variables to be further used for classification or quantitation purposes. In this work, unsupervised proces…

Chromatographybusiness.industryGeneral Chemical EngineeringGeneral EngineeringPattern recognitionMoving windowLinear discriminant analysisAnalytical Chemistrylaw.inventionVariable (computer science)Window WidthlawPrincipal component analysisRange (statistics)Flame ionization detectorArtificial intelligencebusinessData compressionMathematicsAnalytical Methods
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Methods of Digital Hilbert Optics in the Analysis and Objects’ Recognition

2016

This paper describes methods on how to increase the effectiveness of objects’ pictures identification based on correlation methods. The main concept of increasing the discriminant effectiveness is based on highlighting of characteristic points of recognized objects by applying Hilbert transformations. Study of the effectiveness of Digital Hilber Optics (DHO) have been performed on a set of aircrafts, whose models rendered first as binary images, and then as grayscale. It has been performed a very detailed analysis of requirements on resources of information system’s which would in a real world support the discriminatory decision of objects’ class for which the sample database has been creat…

Class (computer programming)business.industryComputer scienceBinary imagedigital Hilbert transformationsSample (graphics)GrayscaleSet (abstract data type)Identification (information)OpticsDiscriminantInformation systemComputer visionArtificial intelligenceobject identificationtexture identificationbusiness
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Shape indices to identify regional differences in otolith morphology of comber, Serranus cabrilla (L., 1758)

2003

Summary Sagittal otoliths from the Atlantic and Mediterranean regions of Serranus cabrilla L. were compared using shape indices (form-factor, roundness, circularity, rectangularity, ellipticity and eccentricity). Regional differences were best described by form-factor, circularity and eccentricity variables. The canonical discriminant functions were built with form-factor or rectangularity indices. The results indicated slight regional variations. The G-test was the criterion more useful to identify the otolith origin in the discriminant analysis.

Comberbiologymedia_common.quotation_subjectAquatic Sciencebiology.organism_classificationLinear discriminant analysisSerranusRoundness (object)Sagittal planemedicine.anatomical_structureDiscriminantmedicinesense organsPhysical geographyEccentricity (behavior)media_commonOtolithJournal of Applied Ichthyology
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Tactical metrics that discriminate winning, drawing and losing teams in UEFA Euro 2012®

2015

The objectives of this article are twofold: first, an innovative approach to notational analysis in football is outlined. By considering the important theoretical requirements for the analysis of sports games (like the interaction between two parties, the procedural sequence of action or the significance of tactical behaviour) the meaning of the introduced parameters, called tactical metrics, is illustrated. In a second step, the validity of this approach is tested using matches of the Union of European Football Associations (UEFA) Euro 2012® to investigate a connection between these metrics and success. The results show that 11 tactical metrics model tactical behaviour in 4 different dimen…

Competitive BehaviorOperations researchComputer scienceDiscriminant AnalysisPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciencesFootballAthletic PerformanceLinear discriminant analysisEurope03 medical and health sciences0302 clinical medicineMotor SkillsSoccerTask Performance and AnalysisBall (bearing)HumansNotational analysisOrthopedics and Sports Medicine030217 neurology & neurosurgeryJournal of Sports Sciences
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Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins

2008

The detection of rotten citrus in packing lines is carried out manually under ultraviolet illumination, which is dangerous for workers. Light emitted by the rotten region of the fruit due to the ultraviolet-induced fluorescence is used by the operator to detect the damages. This procedure is required because the low contrast between the damaged and sound skin under visible illumination difficult their detection. We study a set of techniques aimed to detect rottenness in citrususing visible and near infrared lighting trough an hyperspectral imaging system. Methods for selecting a proper set of wavelengths are investigated such as correlation analysis, mutual information, stepwise or genetic …

Computer sciencebusiness.industryNear-infrared spectroscopyHyperspectral imagingPattern recognitionFeature selectionMutual informationImage segmentationLinear discriminant analysisComputer visionSegmentationArtificial intelligencePixel classificationbusiness
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Interactive Pansharpening and Active Classification in Remote Sensing

2013

This chapter presents two multimodal prototypes for remote sensing image classification where user interaction is an important part of the system. The first one applies pansharpening techniques to fuse a panchromatic image and a multispectral image of the same scene to obtain a high resolution (HR) multispectral image. Once the HR image has been classified the user can interact with the system to select a class of interest. The pansharpening parameters are then modified to increase the system accuracy for the selected class without deteriorating the performance of the classifier on the other classes. The second prototype utilizes Bayesian modeling and inference to implement active learning …

ComputingMethodologies_PATTERNRECOGNITIONContextual image classificationKernel (image processing)PixelComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONDecision boundaryLinear discriminant analysisClassifier (UML)Panchromatic filmRemote sensing
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Desarrollo y evaluación psicométrica de una forma abreviada de la escala de posicionamiento ante el diagnóstico enfermero

2013

El Position on Nursing Diagnosis (PND) es una escala que utiliza la técnica del diferencial semántico para medir las actitudes hacia el concepto diagnóstico enfermero. El estudio objetivó desarrollar una forma abreviada de la versión española de esta escala, evaluar sus propiedades psicométricas y eficiencia. Se utilizó un doble enfoque empírico-teórico para obtener una forma reducida del PND, el PND-7-SV, que fuera equivalente a la original. Mediante un diseño transversal a través de encuesta, se evaluó la fiabilidad (consistencia interna y fiabilidad test-retest), validez de constructo (análisis factorial exploratorio, técnica de grupos conocidos y validez discriminante) y de criterio (va…

Concurrent validityDiferencial semánticoEscales (Ciències socials)NursingDiagnòsticInfermeriamental disordersEstudiantes de enfermeríaDiagnóstico de enfermeríaDiferencial semanticoEstudiantes de enfermeriaGeneral NursingReliability (statistics)lcsh:RT1-120lcsh:NursingDiscriminant validitySurvey researchExploratory factor analysisScale (social sciences)Diagnostico de enfermeriaEscalasPsicometríaSemantic differentialPsychologyPsicometriaNursing diagnosis
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Arabic Named Entity Recognition: A Feature-Driven Study

2009

The named entity recognition task aims at identifying and classifying named entities within an open-domain text. This task has been garnering significant attention recently as it has been shown to help improve the performance of many natural language processing applications. In this paper, we investigate the impact of using different sets of features in three discriminative machine learning frameworks, namely, support vector machines, maximum entropy and conditional random fields for the task of named entity recognition. Our language of interest is Arabic. We explore lexical, contextual and morphological features and nine data-sets of different genres and annotations. We measure the impact …

Conditional random fieldAcoustics and UltrasonicsComputer sciencebusiness.industryPrinciple of maximum entropycomputer.software_genreMachine learningLinear discriminant analysisCable televisionSupport vector machineDiscriminative modelNamed-entity recognitionEntropy (information theory)Artificial intelligenceElectrical and Electronic EngineeringbusinesscomputerNatural language processingIEEE Transactions on Audio, Speech, and Language Processing
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Prediction of the chemiluminescent behaviour of phenols and polyphenols.

2002

Abstract A paper from this laboratory ‘J. Anal. Chem. 73 (2001) 4301’ was recently published and dealing with the first attempt to apply molecular connectivity calculations to predict a chemical property with analytical usefulness; namely, the chemiluminescent behaviour of substances when react with common strong oxidants in liquid phase. In the present work, the usefulness of molecular topology on the search for new chemiluminescent compounds is clearly demonstrated. The proposed discriminant equation, represented a success of 92.7% in the prediction. The present paper is the further step from the cited paper; it is dealing on the application of molecular connectivity calculations (former …

Continuous flowLiquid phaseAnalytical Chemistrylaw.inventionchemistry.chemical_compoundchemistryDiscriminantPolyphenolComputational chemistrylawOrganic chemistryPhenolsMolecular topologyChemical propertyChemiluminescenceTalanta
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Measuring emotional instability, prosocial behavior and aggression in pre-adolescents: A cross-national study

1997

Abstract Three scales measuring emotional instability, prosocial behavior and aggression were analyzed in a new study involving subjects between the ages of 11 and 15 from three different countries: Italy, Hungary and the Czech Republic. Principal component analysis (PCA), simultaneous component analysis (SCA) and congruence coefficients were used to evaluate and compare the factorial structure of the scales in the three different countries. Results clearly show a substantial equivalence of the components in the three countries, attesting to the generalizability of these measures in different cultural contexts. Country comparisons on the mean level of the scales show that Italian boys and g…

Convergent validityPsychometricsProsocial behaviorAggressionmedicineDiscriminant validityValidityConstruct validitymedicine.symptomPsychologyGeneral PsychologyEmotional InstabilityDevelopmental psychology
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