Search results for "NOTA"

showing 10 items of 592 documents

Bernstein sets andκ-coverings

2010

䅢stract. In this paper we study a notion of a �-covering in connection with Bernstein sets and other types of nonmeasurability. Our results correspond to those obtained by Muthuvel in [7] and Nowik in [8]. We consider also other types of coverings. 1. Definitions and notation In 1993 Car汳on 楮 h楳 paper 嬳] 楮troduced a not楯n of �-cover楮gs and used 楴 for 楮vest楧at楮g whether some 楤ea汳 are or are not �-trans污tab汥. Later on �-cover楮gs were stud楥d by other authors, e⹧. Muthuvel (cf. [7 崩 and Now楫 (cf. 嬸崬 嬹崩. In th楳 paper we present new resu汴s on �-cover楮gs 楮 connect楯n w楴h Bernste楮 sets. We a汳o 楮troduce two natural genera汩zat楯ns of the not楯n of �-cover楮gs, name汹 �-S-cover楮gs and �-I-cover楮gs. We use …

Set (abstract data type)Discrete mathematicsLogicNotationMathematicsReal numberConnection (mathematics)MLQ
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The genus Bolbelasmus in the western and southern regions of the Mediterranean Basin (Coleoptera: Geotrupidae: Bolboceratinae)

2016

The Bolbelasmus Boucomont, 1911 species of the western and southern regions of the Mediterranean Basin (Northern Africa, Iberian Peninsula and France) are revised. The following three new species are described: Bolbelasmus brancoi Hillert & Král sp. nov. and Bolbelasmus howdeni Hillert & Král sp. nov., both from Spain and Gibraltar, and Bolbelasmus nikolajevi Hillert, Arnone, Král & Massa sp. nov. from Egypt, Libya and Tunisia. Bolbelasmus vaulogeri (Abeille de Perrin, 1898) stat. restit. is removed from synonymy with B. bocchus (Erichson, 1841) and reinstated as a separate species. Bolbelasmus romanorum Arnone & Massa, 2010 is considered a junior subjective synonym of B. vaulogeri. Lectoty…

Settore AGR/11 - Entomologia Generale E ApplicataColeoptera Scarabaeoidea Geotrupidae Bolboceratinae Bolbelasmini Bolbelasmus taxonomy revision new species synonymy species restitution lectotype designation key distribution annotated list Mediterranean Region Palaearctic Region
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Content Based Indexing of Image and Video Databases by Global and Shape Features

1996

Indexing and retrieval methods based on the image content are required to effectively use information from the large repositories of digital images and videos currently available. Both global (colour, texture, motion, etc.) and local (object shape, etc.) features are needed to perform a reliable content based retrieval. We present a method for automatic extraction of global image features, like colour and motion parameters, and their use for data restriction in video database querying. Further retrieval is therefore accomplished, in a restricted set of images, by shape feature (skeleton, local symmetry moments, correlation, etc.) local search. The proposed indexing methodology has been deve…

Settore INF/01 - InformaticaComputer sciencebusiness.industrySearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCBIR video indexing image analysisDigital imageAutomatic image annotationImage textureFeature (computer vision)Computer visionLocal search (optimization)Visual WordArtificial intelligencebusinessImage retrieval
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Automatic image representation and clustering on mobile devices.

2010

In this paper a novel approach for the automatic representation of pictures on mobile devices is proposed. With the wide diffusion of mobile digital image acquisition devices, the need of managing a large number of digital images is quickly increasing. In fact the storage capacity of such devices allow users to store hundreds or even thousands, of pictures that, without a proper organization, become useless. Users may be interested in using (i.e., browsing, saving, printing and so on) a subset of stored data according to some particular picture properties. A content-based description of each picture is needed to perform on-board image indexing. In our work the images are analyzed and descri…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCBIR automatic image annotation mobile devicesImage retrievalmean-shift clusteringpersonal photo albumPhoto collection
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Composition of SIFT features for robust image representation

2010

In this paper we propose a novel feature based on SIFT (Scale Invariant Feature Transform) algorithm1 for the robust representation of local visual contents. SIFT features have raised much interest for their power of description of visual content characterizing punctual information against variation of luminance and change of viewpoint and they are very useful to capture local information. For a single image hundreds of keypoints are found and they are particularly suitable for tasks dealing with image registration or image matching. In this work we stretched the spatial coverage of descriptors creating a novel feature as composition of keypoints present in an image region while maintaining…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registrationScale-invariant feature transformartificial intelligenceLuminanceimage annotationImage (mathematics)bag of wordsFeature (computer vision)SIFTvisual termsComputer visionArtificial intelligenceAffine transformationbusinessRepresentation (mathematics)semanticsImage representationFeature detection (computer vision)
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A Conceptual Probabilistic Model for the Induction of Image Semantics

2010

In this paper we propose a model based on a conceptual space automatically induced from data. The model is inspired to a well-founded robotics cognitive architecture which is organized in three computational areas: sub-conceptual, linguistic and conceptual. Images are objects in the sub-conceptual area, that become "knoxels" into the conceptual area. The application of the framework grants the automatic emerging of image semantics into the linguistic area. The core of the model is a conceptual space induced automatically from a set of annotated images that exploits and mixes different information concerning the set of images. Multiple low level features are extracted to represent images and…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage ClassificationComputer sciencebusiness.industryFeature extractionimage semantics conceptual spaceConceptual model (computer science)Statistical modelcomputer.software_genreConceptual schemaVisualizationSet (abstract data type)Data setAutomatic image annotationLatent Semantic AnalysisArtificial intelligencebusinesscomputerNatural language processing
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Collective Reasoning over Shared Concepts for the Linguistic Atlas of Sicily

2013

In this chapter, collective intelligence principles are applied in the context of the Linguistic Atlas of Sicily (ALS - Atlante Linguistico Siciliano), an interdisciplinary research focusing on the study of the Italian language as it is spoken in Sicily, and its correlation with the Sicilian dialect and other regional varieties spoken in Sicily. The project has been developed over the past two decades and includes a complex information system supporting linguistic research; recently it has grown to allow research scientists to cooperate in an integrated environment to produce significant scientific advances in the field of ethnologic and sociolinguistic research. An interoperable infrastruc…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMarkup languagebusiness.industryData managementInteroperabilityCollective intelligenceContext (language use)computer.software_genreLinguisticsGeographyCommon knowledgeALSethnologic research sociolinguistic research Linguistic Atlas of Sicily collective reasoningshared concepts Data integration Social interaction Search engineEmergent knowledge Sociolinguistic Spoken Transcription Linguistic annotation Linguistic Phenomena Collective intelligence Information retrieval Audio analysis Wavesurfer Collective Knowledge System information exchange Knowledge Discovery in Database Linguistic framework Interviews Biographic information Meta-linguistic information Social characterization Statistic InformationDiatopiaFilologicheiBatis framework spectrogram analysisMarkup language Geographic information system Pronunciation Linguistic tools Data management SAX builder Results dissemination Geo-localized informationdata exploration geographically referenced visualizationbusinesscomputerInformation exchangeData integration
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A Methodology for Graphical Modeling of Business Rules

2011

This work proposes a novel methodology based on the Business Process Modeling Notation (BPMN) standard capable of graphically modeling business rules. A set of new representation patterns allows business analysts to map processes described through BPMN into conditions and actions of business rules. Our approach exploits Domain Specific Language techniques in order to make the methodology independent from the programming language supported by the specific rule engine. Moreover, this work proposes a web graphical editor, instantiated on a specific sample scenario, where the selected rule engine is Drools, one of the most used open source products. The developed editor allows business analysts…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProgramming languageComputer scienceBusiness ruleArtifact-centric business process modelBusiness processgraphical modelingbusiness ruleBPMNmethodologyweb graphical editorBusiness process modelingcomputer.software_genreBusiness domainrule engineBRMSBusiness rule management systemBusiness Process Model and NotationSemantics of Business Vocabulary and Business Rulescomputer
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Retinal image synthesis through the least action principle

2020

Eye fundus image analysis is a fundamental approach in medical diagnosis and follow-up ophthalmic diagnostics. Manual annotation by experts needs hard work, thus only a small set of annotated vessel structures is available. Examples such as DRIVE and STARE include small sets for training images of fundus image benchmarks. Moreover, there is no vessel structure annotation for a number of fundus image datasets. Synthetic images have been generated by using appropriate parameters for the modeling of vascular networks or by methods developing deep learning techniques and supported by performance hardware. Our methodology aims to produce high-resolution synthetic fundus images alternative to the…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticapredictive evaluation diseasesComputer sciencebusiness.industryDeep learningComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFundus (eye)Real imageSmall setPrinciple of least actionImage (mathematics)fundus image analysisAnnotationComputer visionArtificial intelligenceMedical diagnosisbusinessstatistical featuressynthetic retinal imagedata augmentation2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
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The ALSWEB Framework: A Web-based Framework for the Linguistic Atlas of Sicily Project

2011

In this work the ALSWEB framework is presented. The ALSWEB is a virtual linguistic laboratory for linguistic research developed as a web application. The purpose of the framework is to model the entire process regarding the different steps of data acquisition, data transformation, information acquisition from different data and research hypotheses verification in the ALS (Linguistic Atlas of Sicily) project. The nature of the ALS research involves different type of data. The socio-linguistic researcher that is the main actor of the proposed framework has to acquire information in many formats: multimedia data, audio data, question-answer (textual) from particular questionnaires. In this wor…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryComputer sciencecomputer.internet_protocolVirtual realityPragmaticsData scienceLinguisticsSoftwareKnowledge extractionKnowledge Discovery Linguistic Annotation XML Data IntegrationWeb applicationThe InternetbusinesscomputerXML2011 IEEE International Conference on Advanced Information Networking and Applications
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