Search results for "Mask"

showing 10 items of 506 documents

Measurement of the single-top-quark production cross section at CDF.

2008

We report a measurement of the single top quark production cross section in 2.2 ~fb-1 of p-pbar collision data collected by the Collider Detector at Fermilab at sqrt{s}=1.96 TeV. Candidate events are classified as signal-like by three parallel analyses which use likelihood, matrix element, and neural network discriminants. These results are combined in order to improve the sensitivity. We observe a signal consistent with the standard model prediction, but inconsistent with the background-only model by 3.7 standard deviations with a median expected sensitivity of 4.9 standard deviations. We measure a cross section of 2.2 +0.7 -0.6(stat+sys) pb, extract the CKM matrix element value |V_{tb}|=0…

StandardsTop quarkParticle physicsFOS: Physical sciencesGeneral Physics and Astronomyddc:500.2Astrophysics::Cosmology and Extragalactic Astrophysics114 Physical sciences01 natural sciencesStandard ModelHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Tellurium compoundsMatrix elementsCross section (physics)Colliding beam acceleratorsStandard deviations0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Sensitivity (control systems)010306 general physicsStandard models14.65.Ha 13.85Qk 12.15Hh 12.15.JiPhysicshep-ex010308 nuclear & particles physicsCabibbo–Kobayashi–Maskawa matrixPhysicsStatisticsHigh Energy Physics::PhenomenologyOrder (ring theory)Collider Detector at FermilabCross sections_Parallel analysisProduction (computer science)High Energy Physics::ExperimentCollider Detector at FermilabNeural networksQuark productions
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Korporācijas Fraternitas Lettica vēsturiskie posmi

1934

Saturs: I. Priekšvēsture: "Maskavas latviešu lasāms vakars", no 20.X.1870. g. - 1883. - 19.IV.1892. g. -- II. "Maskavas latviešu studentu vakars". Pirmais posms: 19.X.1883. - XII.1890. g. ; Otrais posms: XII.1890. g. - 12.I.1902. g. -- III. Maskavas latviešu studentu sabiedrība "Fraternitas Moscoviensis". Pirmais posms: 12.I.1902. g. - 26.III.1913. g. (resp. XII.1912. g.), bez krāsām ar korporācijas veidu ; Otrais posms: 26.III.1913. g. (resp. XII.1912. g.) - 27.IX.1920. g., ar krāsām - korporācija -- IV. Korporācija "Fraternitas Lettica", no 27.IX.1920. g. -- Maskavas latviešu studentu sabiedrība "Fraternitas Moscoviensis" : [statūti] -- Coetus'i 1921.-1934. g. : [saraksts].

Studentu organizācijas Latvijas UniversitātēLatvijas UniversitāteFraternitas Lettica - studentu korporācijas vēstureMaskavas latviešu lasāmais vakarsStudent corporations - historyLatviešu studentu organizācijas MaskavāKorporācijas Latvijas UniversitātēMaskavas latviešu studentu vakars:SOCIAL SCIENCES::Social sciences::Education [Research Subject Categories]Latvijas Universitātes vēstureFraternitas Moscoviensis - Maskavas latviešu studentu sabiedrība
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In praise of artifice reloaded: Caution with natural image databases in modeling vision

2019

Subjective image quality databases are a major source of raw data on how the visual system works in naturalistic environments. These databases describe the sensitivity of many observers to a wide range of distortions of different nature and intensity seen on top of a variety of natural images. Data of this kind seems to open a number of possibilities for the vision scientist to check the models in realistic scenarios. However, while these natural databases are great benchmarks for models developed in some other way (e.g., by using the well-controlled artificial stimuli of traditional psychophysics), they should be carefully used when trying to fit vision models. Given the high dimensionalit…

Subjective image quality databasesImage qualityComputer scienceNormalization (image processing)02 engineering and technologycomputer.software_genreContrast maskingImage (mathematics)lcsh:RC321-57103 medical and health sciences0302 clinical medicineWavelet0202 electrical engineering electronic engineering information engineeringPsychophysicsNatural (music)Wavelet + divisive normalizationsubjective image quality databaseslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryArtificial stimuliOriginal ResearchNatural stimuliwavelet + divisive normalizationDatabaseGeneral Neurosciencecontrast maskingRange (mathematics)Norm (artificial intelligence)natural stimuli020201 artificial intelligence & image processingartificial stimulicomputer030217 neurology & neurosurgeryNeuroscience
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Populism on the loose

2018

Populismitutkimus on pääosin keskittynyt etsimään populismia määrittäviä yhteisiä piirteitä tai hahmottamaan populismia sosiaalisena logiikkana. Tässä kirjassa tarkastellaan populismin sisäisiä eroja. Populismi vaihtelee ensinnäkin kulttuurikontekstin mukana. Populistiset liikkeet ovat jopa yhteiskunnallisesti samankaltaisissa maissa, kuten Pohjoismaissa, yleensä varsin erilaisia. Toiseksi populismiin vaikuttavat merkittävästi sellaiset muuttujat kuin sukupuoli, luokka ja uskonto. Ja kolmanneksi populismin käsite sinänsä ”irti” tavalla, johon sopii Ernesto Laclaun populismiteoriasta tuttu termi ”kelluva merkitsijä”. Tämän kirjan otsikko, ”Populism on the loose”, viittaa yhtä aikaa kahteen e…

Suomen kristillisdemokraatitkommunismiHelsingin SanomatRuotsipopulismisukupuolittuminenmaskuliinisuuspolitiikkaTurkkiSuomiErdoğan Recep Tayyiplehdistövihapuhe1965-2015hallitusnationalismiPohjoismaatRomaniaPerussuomalaisetantifeminismiChávez HugoVenezuelapopulismItaliaGuggenheim-museohallitukset (valtiot)jytkykansallinen identiteettiPatmos lähetyssäätiösanomalehdet
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Mixed Fault Classification of Sensorless PMSM Drive in Dynamic Operations Based on External Stray Flux Sensors

2022

This paper aims to classify local demagnetisation and inter-turn short-circuit (ITSC) on position sensorless permanent magnet synchronous motors (PMSM) in transient states based on external stray flux and learning classifier. Within the framework, four supervised machine learning tools were tested: ensemble decision tree (EDT), k-nearest neighbours (KNN), support vector machine (SVM), and feedforward neural network (FNN). All algorithms are trained on datasets from one operational profile but tested on other different operation profiles. Their input features or spectrograms are computed from resampled time-series data based on the estimated position of the rotor from one stray flux sensor t…

Support Vector Machinedemagnetisationinter-turn short circuitChemical technologydemagnetisation; inter-turn short circuit; machine learning; permanent magnet synchronous motor; variable speed; variable loadTP1-1185BiochemistryAtomic and Molecular Physics and OpticsAnalytical ChemistryComputingMethodologies_PATTERNRECOGNITIONmachine learningpermanent magnet synchronous motorvariable speedVDP::Teknologi: 500::Maskinfag: 570Magnetsvariable loadNeural Networks ComputerSupervised Machine LearningElectrical and Electronic EngineeringInstrumentationAlgorithmsSensors (Basel, Switzerland)
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Henkilöhahmon sisäinen konflikti Väinö Linnan romaanissa Tuntematon sotilas

2015

The object of this study is character´s internal conflict in the novel. The primary research question is: What are the internal conflicts of characters like in Väinö Linna’s novel The Unknown Soldier? An answer to the primary research question is sought by answering the following secondary research questions: What are the specific internal conflicts like? How do they manifest? What are the most important effects they have on the structure of the narrative? What kinds of groups of characters are possible to form? How could the traditional notion of characters internal conflict, as it is traditionally defined in literary studies, be developed? In this study, internal conflict takes place when…

The Unknown SoldierLinna Väinöconflictcognitive modelsTuntematon sotilaskonfliktitfiktiiviset henkilötuuskritiikkitekstianalyysiristiriidatcharacterryhmäkäyttäytyminenhenkilökuvausmaskuliinisuusnew criticismcharacter's internal conflictclose readingkirjallisuudentutkimusluonteenpiirteet
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Evidence for the associated production of a W boson and a top quark in ATLAS at √s = 7 TeV

2012

This Letter presents evidence for the associated production of a W boson and a top quark using 2.05 fb[superscript −1] of pp collision data at √s = 7 TeV accumulated with the ATLAS detector at the LHC. The analysis is based on the selection of the dileptonic final states with events featuring two isolated leptons, electron or muon, with significant transverse missing momentum and at least one jet. An approach based on boosted decision trees has been developed to improve the discrimination of single top-quark Wt events from background. A template fit to the final classifier distributions is performed to determine the cross-section. The result is incompatible with the background-only hypothes…

Top quarkPhysics::Instrumentation and DetectorsAtlas detectorSingleW Plus TATLAS; Single top-quark; Top quark; W+t01 natural sciencesSettore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]w bosonSingle top-quarkQAQCDetectors de radiacióPhysicsLarge Hadron ColliderCabibbo–Kobayashi–Maskawa matrixAtlas (topology)Acceleradors de partículesSettore FIS/01 - Fisica SperimentaleW plus tW+tW+tATLASTop-QuarkW+tComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAtlasLHCParticle Physics - ExperimentATLAS; Top quark; W+tW+t; Single top-quarkNuclear and High Energy PhysicsParticle physicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesTop Quarkddc:500.2530Partícules (Física nuclear)Nuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsCiencias Exactastop quarkScience & TechnologyATLAS detector010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFísicatop quark; single top-quark; atlas; w plus tPair productionHADRON-HADRON COLLISIONSExperimental High Energy PhysicsHigh Energy Physics::ExperimentPhysics Letters B
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Austruma vēsture [Austrums]

1940

Tērbatas studentu vakariAustrums - studentu biedrībaLatvijas UniversitāteStudent unionsLatviešu studentu biedrības:SOCIAL SCIENCES::Social sciences::Education [Research Subject Categories]Studentu organizācijas latviešu - MaskavaLatvijas Universitātes vēstureLatviešu studenti Maskava
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Pervasive access to MRI bias artifact suppression service on a grid.

2009

Bias artifact corrupts magnetic resonance images in such a way that the image is afflicted by illumination variations. Some of the authors proposed the Exponential Entropy Driven - Homomorphic Unsharp Masking (E2D-HUM) algorithm that corrects this artifact without any a priori hypothesis about the tissues or the Magnetic Resonance image modality. Moreover, E2D-HUM does not care about the body part under examination and does not require any particular training task. People who want to use this algorithm, which is Matlab-based, have to set their own computers in order to execute it. Furthermore, they have to be Matlab-skilled to exploit all the features of the algorithm. In our work we propos…

Ubiquitous computingComputer scienceReal-time computingPelvisBiasMRI enhancementImage Processing Computer-AssistedHumansComputer visionKneeElectrical and Electronic EngineeringMATLABPervasive systemGrid servicescomputer.programming_languageSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryBrainGeneral MedicineGridImage EnhancementMagnetic Resonance ImagingComputer Science ApplicationsSystems IntegrationComputers HandheldArtificial intelligenceUser interfacebusinessArtifactscomputerAlgorithmsBiotechnologyUnsharp maskingIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
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Kalmbergin kartasto R V : List 11

1855

UusikaupunkiVehmaaTaivassalokartatMietoinenMynämäkiUusikirkkoKustaviMaskuKarjala Tl.Laitilamaastokartat1850-lukuLemuNousiainen
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