Search results for "feature"

showing 10 items of 4091 documents

S_Kernel: A New Symmetry Measure

2005

Symmetry is an important feature in vision. Several detectors or transforms have been proposed. In this paper we concentrate on a measure of symmetry. Given a transform S, the kernel SK of a pattern is defined as the maximal included symmetric sub-set of this pattern. It is easily proven that, in any direction, the optimal axis corresponds to the maximal correlation of a pattern with its flipped version. For the measure we compute a modified difference between respective surfaces of a pattern and its kernel. That founds an efficient algorithm to attention focusing on symmetric patterns.

CombinatoricsMaximal correlationKernel (image processing)Efficient algorithmDetectorFeature extractionAxial symmetryMathematics
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Spirals of Speaking Out? Effects of the “Suppressed Voice Rhetoric” on Audiences’ Willingness to Express Their Opinion

2020

A defining feature of counterpublics is to claim that their views are deliberately excluded from the mainstream public sphere. This rhetorical strategy – which we theorize as “suppressed voice rhet...

Communicationmedia_common.quotation_subject05 social sciences050801 communication & media studies0506 political scienceFeature (linguistics)0508 media and communicationsAestheticsRhetoric050602 political science & public administrationRhetorical questionPublic sphereMainstreamSociologymedia_commonJournal of Broadcasting & Electronic Media
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Practiced musical style shapes auditory skills

2012

Musicians' processing of sounds depends highly on instrument, performance practice, and level of expertise. Here, we measured the mismatch negativity (MMN), a preattentive brain response, to six types of musical feature change in musicians playing three distinct styles of music (classical, jazz, and rock/pop) and in nonmusicians using a novel, fast, and musical sounding multifeature MMN paradigm. We found MMN to all six deviants, showing that MMN paradigms can be adapted to resemble a musical context. Furthermore, we found that jazz musicians had larger MMN amplitude than all other experimental groups across all sound features, indicating greater overall sensitivity to auditory outliers. Fu…

Communicationmedicine.diagnostic_testbusiness.industryGeneral Neuroscience05 social sciencesMismatch negativityContext (language use)MusicalElectroencephalography050105 experimental psychologyGeneral Biochemistry Genetics and Molecular BiologyStyle (sociolinguistics)Feature (linguistics)03 medical and health sciences0302 clinical medicineHistory and Philosophy of SciencePerceptual learningmedicine0501 psychology and cognitive sciencesbusinessJazzPsychology030217 neurology & neurosurgeryCognitive psychologyAnnals of the New York Academy of Sciences
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Efficacy and safety of cyclic pyranopterin monophosphate substitution in severe molybdenum cofactor deficiency type A: a prospective cohort study.

2015

Summary Background Molybdenum cofactor deficiency (MoCD) is characterised by early, rapidly progressive postnatal encephalopathy and intractable seizures, leading to severe disability and early death. Previous treatment attempts have been unsuccessful. After a pioneering single treatment we now report the outcome of the complete first cohort of patients receiving substitution treatment with cyclic pyranopterin monophosphate (cPMP), a biosynthetic precursor of the cofactor. Methods In this observational prospective cohort study, newborn babies with clinical and biochemical evidence of MoCD were admitted to a compassionate-use programme at the request of their treating physicians. Intravenous…

Compassionate Use TrialsMalePediatricsmedicine.medical_specialtyGENOMIC STRUCTUREFEATURESEncephalopathyMolybdopterin synthaseCyclic pyranopterin monophosphateDrug Administration ScheduleCohort Studieschemistry.chemical_compoundOrganophosphorus CompoundsmedicineURINEHumansBIOSYNTHESISProspective cohort studyAdverse effectMolybdenum cofactor deficiencyPRECURSORMetal Metabolism Inborn ErrorsMetal metabolismbusiness.industryMUTATIONSInfant NewbornGENES MOCS1CPMPMOLYBDOPTERIN SYNTHASEGeneral Medicinemedicine.diseasePterinsTreatment OutcomechemistryFemalebusinessCohort studyLancet (London, England)
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Approximated overlap error for the evaluation of feature descriptors on 3D scenes

2013

This paper presents a new framework to evaluate feature descriptors on 3D datasets. The proposed method employs the approximated overlap error in order to conform with the reference planar evaluation case of the Oxford dataset based on the overlap error. The method takes into account not only the keypoint centre but also the feature shape and it does not require complex data setups, depth maps or an accurate camera calibration. Only a ground-truth fundamental matrix should be computed, so that the dataset can be freely extended by adding further images. The proposed approach is robust to false positives occurring in the evaluation process, which do not introduce any relevant changes in the …

Complex data typeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceGLOHEpipolar geometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformPattern recognitionLIOPMROGHkeypoint descriptorSIFTepipolar geometryFalse positive paradoxComputer visionArtificial intelligencebusinessFundamental matrix (computer vision)descriptor evaluationCamera resectioning
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On the determination of coherent solar climates over a tropical island with a complex topography

2020

Abstract Many tropical islands aim at developing a greener self-sufficient energy production systems based on renewable energy, notably solar-generated electricity. This work explores the mean diurnal and annual solar cycles over La Reunion island (southwest Indian Ocean: 21°S, 55.5°E), and their spatial behavior, using the Solar surfAce RAdiation Heliosat – East (SARAH-E) satellite-derived data at high spatial ( 0.05 ° × 0.05 ° ) and time (hourly) resolutions over period 1999–2016. Comparisons of the SARAH-E data with ground-based measurements over the period 2011–2015 show differences of ~ 15 % for diurnal-seasonal variations. The solar resource over the island displays strong spatial var…

Complex topography020209 energyLa Réunion island02 engineering and technologyAtmospheric sciencesSurface solar radiationCluster analysisSolar Resource0202 electrical engineering electronic engineering information engineeringGeneral Materials Science14. Life underwatergeographygeography.geographical_feature_categoryRenewable Energy Sustainability and the Environmentbusiness.industryComplex meteorological context021001 nanoscience & nanotechnologyRenewable energyIndian oceanTropical islandsVolcano[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology13. Climate actionPeriod (geology)Seasonal/diurnal cyclesEnvironmental scienceSpatial variability0210 nano-technologybusinessSARAH-ESolar Energy
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Perspective in the Processing of the Chinese Reflexive ziji: ERP Evidence

2011

We investigated the comprehension of the Chinese reflexive ziji, which is typically subject to long-distance binding. However, this preference can be overridden by verb semantics (some verbs require local binding) as well as by subtle feature combinations of intervening noun phrases (NPs) (e.g., 1st/2nd person pronouns block dependencies with more distant 3rd person antecedents). The processing of ziji was examined in sentences containing two verb types (local/self-oriented, distant/other-oriented) and three different intervening NPs (1st, 2nd , 3rd person). The event-related potential data revealed an early interaction of verb and intervener: other-oriented verbs showed more processing eff…

ComprehensionFeature (linguistics)Blocking (linguistics)Reflexive verbSubject (grammar)VerbPsychologyAnimacyNoun phraseLinguistics
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Towards more Valid Assessment of Learning from Animations

2020

Animated explanations have become an ubiquitous feature of modern educational practice. They provide a distinctive, non-verbal means of presenting information that is particularly appropriate for dynamic subject matter. However, the prevailing approaches used to assess learning from educational animations are almost exclusively verbal. There is thus a clear disconnect between the form of representation students encounter during their learning activity and the very different form of representation used to assess the resulting learning outcomes. This fundamental inconsistency undermines the validity of current assessment approaches and signals the need for a fresh look at how learning from an…

ComprehensionRange (mathematics)Human–computer interactionComputer scienceFeature (machine learning)AnimationRepresentation (mathematics)Subject matter
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Generic attribute deviation metric for assessing mesh simplification algorithm quality

2002

International audience; This paper describes an efficient method to compare two triangular meshes. Meshes considered here contain geometric features as well as other surface attributes such as material colors, texture, temperature, radiation, etc. Two deviation measurements are presented to assess the differences between two meshes. The first measurement, called geometric deviation, returns geometric differences. The second measurement , called attribute deviation, returns attribute differences regardless of the attribute type. In this paper we present an application of this method to the Mesh Simplification Algorithm (MSA) quality assessment according to the appearance attributes. This ass…

Computationmedia_common.quotation_subjectFeature extraction[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]02 engineering and technologySolid modeling[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]Computer graphics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0202 electrical engineering electronic engineering information engineeringQuality (business)Polygon meshComputingMethodologies_COMPUTERGRAPHICSmedia_commonMathematicsbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognitionComputational geometry[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]Metric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusinessAlgorithmProceedings. International Conference on Image Processing
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Irrelevant Features, Class Separability, and Complexity of Classification Problems

2011

In this paper, analysis of class separability measures is performed in attempt to relate their descriptive abilities to geometrical properties of classification problems in presence of irrelevant features. The study is performed on synthetic and benchmark data with known irrelevant features and other characteristics of interest, such as class boundaries, shapes, margins between classes, and density. The results have shown that some measures are individually informative, while others are less reliable and only can provide complimentary information. Classification problem complexity measurements on selected data sets are made to gain additional insights on the obtained results.

Computational complexity theoryCovariance matrixComputer sciencebusiness.industryFeature extractionPattern recognitionArtificial intelligencebusinessMachine learningcomputer.software_genreClass (biology)computerClass separability2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
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