Search results for "Segmentation"

showing 10 items of 674 documents

Massaliikuntatapahtuman osallistujaryhmät ja osallistumisen motiivit : Kainuun rastiviikko ja suunnistuksen MM-kilpailut 2013

2015

motivaatiourheilutapahtumatkuntoliikuntasport sociologysegmentationtapahtumatuotantoorienteering relationshipsport tourismliikuntamatkailuliikuntatapahtumatsegmentointiosallistujatliikuntasosiologiasuunnistussports eventsorienteering
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Effects of musicianship and experimental task on perceptual segmentation

2015

The perceptual structure of music is a fundamental issue in music psychology that can be systematically addressed via computational models. This study estimated the contribution of spectral, rhythmic and tonal descriptors for prediction of perceptual segmentation across stimuli. In a real-time task, 18 musicians and 18 non-musicians indicated perceived instants of significant change for six ongoing musical stimuli. In a second task, 18 musicians parsed the same stimuli using audio editing software to provide non-real-time segmentation annotations. We built computational models based on a non-linear fuzzy integration of basic and interaction descriptors of local musical novelty. We found tha…

musicianshipsegmentointimusic psychologyMusical trainingmuusikkousInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)segmentationmusiikkipsykologiaSegmentation densitySegmentation taskaudio-based computational modeling
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NeuronAlg: An Innovative Neuronal Computational Model for Immunofluorescence Image Segmentation

2023

Background: Image analysis applications in digital pathology include various methods for segmenting regions of interest. Their identification is one of the most complex steps and therefore of great interest for the study of robust methods that do not necessarily rely on a machine learning (ML) approach. Method: A fully automatic and optimized segmentation process for different datasets is a prerequisite for classifying and diagnosing indirect immunofluorescence (IIF) raw data. This study describes a deterministic computational neuroscience approach for identifying cells and nuclei. It is very different from the conventional neural network approaches but has an equivalent quantitative and qu…

neuron physiology networksSettore INF/01 - Informaticabiomedical imaging; explainable ai; neuron physiology networks; computer-aided analysis; image segmentation; pattern analysispattern analysisElectrical and Electronic Engineeringbiomedical imagingcomputer-aided analysisimage segmentationBiochemistryInstrumentationAtomic and Molecular Physics and Opticsexplainable aiAnalytical ChemistrySensors
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Hypervisor-Based White Listing of Executables

2019

We describe an efficient system for ensuring code integrity of an operating system (OS), both its own code and application code. The proposed system can protect from an attacker who has full control over the OS kernel. An evaluation of the system's performance suggests the induced overhead is negligible. peerReviewed

operating systemsmicroprogrammingdatabasesvirtualisointiComputer Networks and CommunicationsComputer science0211 other engineering and technologiesListing (computer)02 engineering and technologycomputer.software_genre020204 information systemsMicrocode0202 electrical engineering electronic engineering information engineeringCode (cryptography)Overhead (computing)virtual machine monitorstietoturvaElectrical and Electronic Engineeringimage segmentation021110 strategic defence & security studieskäyttöjärjestelmätLinuxHypervisorcomputer.file_formatmonitoringOperating systemohjelmointiExecutableLawcomputerIEEE Security & Privacy
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Emotions and Activity Recognition System Using Wearable Device Sensors

2021

Nowadays machines have become extremely smart, there are a lot of existing services that seemed to be unexpectable and futuristic decades or even a few years ago. However, artificial intelligence is still far from human intelligence, machines do not have feelings, consciousness, and intuition. How can we help machines to learn about human feelings and understand their needs better? People take their devices wherever they go, what can devices tell us about their owners? Personal preferences and needs are dependent on emotional and situational contexts. Therefore, emotional and activity aware gadgets would be more intuitive and provide more appropriate information to users. Contemporary weara…

paikkatiedotComputer sciencemedia_common.quotation_subjectWearable computertekoälyRecommender systemwearable device sensorslcsh:TelecommunicationActivity recognitiontoimintatunteetHuman–computer interactionlcsh:TK5101-6720emotions recognitionzero-shot semantic segmentationactivity recognitionanturitSituational ethicsimage segmentationWearable technologymedia_commonHuman intelligencebusiness.industrymielialadeep learningliikkeentunnistusmachine learningkoneoppiminenälytuotteetFeelingälytekniikkaConsciousnessbusinesskasvontunnistus (tietotekniikka)fyysinen aktiivisuus2021 28th Conference of Open Innovations Association (FRUCT)
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An Integrated Method for Image Retrieval

1995

This paper presents an information fusion method for image retrieval; the retrieval strategy is based on statistical and geometrical features extracted from sub-images. Our goal is to find a set of best similar images related to a prototype image; this goal may be obtained according to image content rather than symbolic attributes. MRI (Magnetic Resonance Imaging) images and astronomical images have been adopted to test the method. Main steps of the procedure to retrieve images are: (l) Segmentation, (2) Matching, and (3) Decision. The first step involves four clusters co-operating segmentation algorithms; in the matching step, a sets of candidate similar images is provided; finally an info…

pictorial darabase feature extraction image segmentation information fusion.Settore INF/01 - Informatica
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Polygonal mesh segmentation by surface curvature diffusion.

2011

polygonal mesh segmentationSettore INF/01 - Informaticasurface curvature diffusion.
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Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

2013

This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions.

retinaRetinaSettore INF/01 - InformaticaContextual image classificationbusiness.industryComputer scienceVampireRetinalImage segmentationClassificationFeature detectionRetina; Feature detection; Segmentation; Classification; Biomarkerschemistry.chemical_compoundSegmentationmedicine.anatomical_structurechemistrymedicineSegmentationComputer visionArtificial intelligencebusinessAlgorithmBiomarkersOptic discFeature detection (computer vision)2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC)
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Un football des champs et un football des villes : analyse géographique du service football dans un cadre régional

2006

National audience; Le football représente une des formes d'activités de loisir les mieux représentées en France. Au regard de la population concernée par la discipline, il est légitime de la qualifier de service. Cet article propose une lecture géographique de l'offre du service football (les clubs) et de la demande exprimée par les pratiquants. La spatialisation des composants de ce service sportif dans un cadre régional (la Franche-Comté) a pour objectif d'apporter des éléments de connaissance permettant d'ajuster au mieux l'offre des clubs à la demande sociale.

segmentation du marché[SHS.GEO] Humanities and Social Sciences/GeographyPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciences[SHS.GEO]Humanities and Social Sciences/Geographyservice sportif[ SHS.GEO ] Humanities and Social Sciences/Geographygéographie03 medical and health sciences0302 clinical medicineaire de recrutementOrthopedics and Sports MedicineSocial Sciences (miscellaneous)analyse spatiale
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Multi-Scale Modelling of Segmentation : Effect of Music Training and Experimental Task

2016

While listening to music, people, often unwittingly, break down musical pieces into constituent chunks such as verses and choruses. Music segmentation studies have suggested that some consensus regarding boundary perception exists, despite individual differences. However, neither the effects of experimental task (i.e. realtime vs annotated segmentation), nor of musicianship on boundary perception are clear. Our study assesses musicianship effects and differences between segmentation tasks. We conducted a real-time task experiment to collect segmentations by musicians and non-musicians from 9 musical pieces; in a second experiment on non-realtime segmentation, musicians indicated boundaries …

segmentation modellingmusic segmentationsegmentation taskmusic trainingmusical features
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