Search results for "methodologies"

showing 10 items of 2106 documents

Novel Indexing Method of Relations Between Salient Objects

2011

Since the last decade, images have been integrated into several application domains such as GIS, medicine, etc. This integration necessitates new managing methods particularly in image retrieval. Queries should be formulated using different types of features such as low-level features of images (histograms, color distribution, etc.), spatial and temporal relations between salient objects, semantic features, etc. In this chapter, we propose a novel method for identifying and indexing several types of relations between salient objects. Spatial relations are used here to show how our method can provide high expressive power to relations in comparison to the traditional methods.

Information retrievalGeographic information systemRelational databasebusiness.industryComputer scienceSearch engine indexingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExpressive powerSalient objectsSpatial relationHistogram[INFO]Computer Science [cs]businessImage retrieval
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Comparing Translation and Post-editing: An Annotation Schema for Activity Units

2016

The current chapter introduces an annotation schema of TPR data that categorises post-editing behaviour into five different classes and compares general-language and domain-specific English-to-German translation and post-editing with respect to production times, key-logging (text production activity and text elimination activity) and eye-tracking data (total reading times on source text and on target text). The results support the hypothesis that post-editing is faster than translation from scratch for both domain-specific and non-domain-specific text types. When key-logging and eye-tracking data are taken into consideration, domain-specific texts require more effort when translating from s…

Information retrievalMachine translationComputer sciencemedia_common.quotation_subjectTranslation (geometry)computer.software_genreKeystroke loggingReading (process)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGEye trackingText typesProduction (computer science)Source textcomputermedia_common
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ViziQuer: A Tool to Explore and Query SPARQL Endpoints

2011

The presented tool uses a novel approach to explore and query a SPARQL endpoint. The tool is simple to use as a user needs only to enter an address of a SPARQL endpoint of one's interest. The tool will extract and visualize graphically the data schema of the endpoint. The user will be able to overview the data schema and use it to construct a SPARQL query according to the data schema. The tool can be downloaded from http://viziquer.lumii.lv. There is also additional information and help on how to use it in practice.

Information retrievalNamed graphComputer scienceComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDatabase schemaInformationSystems_DATABASEMANAGEMENTSPARQLConstruct (python library)computer.file_formatOntology (information science)User needscomputerVisualization
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An interactive evolutionary approach for content based image retrieval

2009

Content Based Image Retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except its contents usually as low-level descriptors. Since these descriptors do not exactly match the high level semantics of the image, assessing perceptual similarity between two pictures using only their feature vectors is not a trivial task. In fact, the ability of a system to induce high level semantic concepts from the feature vector of an image is one of the aspects which most influences its performance. This paper describes a CBIR algorithm which combines relevance feedback, evolutionary computation concepts and ad-hoc strategies in an attem…

Information retrievalbusiness.industryComputer scienceFeature vectorFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRelevance feedbackPattern recognitionContent-based image retrievalSemanticsEvolutionary computationHistogramVisual WordArtificial intelligencebusinessImage retrieval2009 IEEE International Conference on Systems, Man and Cybernetics
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Learning high-level manipulative tasks through imitation

2006

This paper presents ConSCIS, Conceptual Space based Cognitive Imitation System, which tightly links low-level data processing with knowledge representation in the context of robot imitation. Our focus is on the program-level imitation: we are interested in the final effects of actions on objects, and not on the particular kinematic or dynamic properties of the motion. The same architecture is used both to analyze and represent the task to be imitated, and to perform the imitation by generalizing in novel and different circumstances. The implemented experimental scenario is a two dimensional world populated with various objects in which observation/imitation takes place. To validate our appr…

Information theoryKnowledge representation and reasoningComputer sciencebusiness.industrymedia_common.quotation_subjectImitation learningContext (language use)KinematicsWorkspaceMotion (physics)RoboticData processingKnowledge representationMachine learningRobotKnowledge based systemsArtificial intelligenceCognitive imitationImitationbusinessRobotsHumanoid robotmedia_commonComputingMethodologies_COMPUTERGRAPHICS
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Additional file 1 of Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced…

2020

Additional file 1: Supplementary Tables.

InformationSystems_INFORMATIONSTORAGEANDRETRIEVALComputingMethodologies_DOCUMENTANDTEXTPROCESSINGComputingMilieux_COMPUTERSANDEDUCATIONData_FILESComputerApplications_COMPUTERSINOTHERSYSTEMS
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Additional file 2 of PVAmpliconFinder: a workflow for the identification of human papillomaviruses from high-throughput amplicon sequencing

2020

Additional file 2: Supplementary Data 1. Info file description. Supplementary Data 2. Details of the workflow steps. Supplementary Data 3. Description of output files format. Supplementary Data 4. Sample collection, preparation, and sequencing

InformationSystems_INFORMATIONSTORAGEANDRETRIEVALData_FILESComputingMethodologies_DOCUMENTANDTEXTPROCESSINGComputingMilieux_COMPUTERSANDEDUCATIONComputerApplications_COMPUTERSINOTHERSYSTEMS
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Machine Learning-Based View Synthesis in Fourier Lightfield Microscopy

2022

Current interest in Fourier lightfield microscopy is increasing, due to its ability to acquire 3D images of thick dynamic samples. This technique is based on simultaneously capturing, in a single shot, and with a monocular setup, a number of orthographic perspective views of 3D microscopic samples. An essential feature of Fourier lightfield microscopy is that the number of acquired views is low, due to the trade-off relationship existing between the number of views and their corresponding lateral resolution. Therefore, it is important to have a tool for the generation of a high number of synthesized view images, without compromising their lateral resolution. In this context we investigate h…

InformáticaMicroscopyFourier lightfield microscopy; view synthesis; neural radiance fields; 3D microscopyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBiochemistryComputer scienceAtomic and Molecular Physics and OpticsAnalytical ChemistryMachine LearningMicroscòpiaInstrumento ópticoImaging Three-DimensionalTecnología avanzadaAlgoritmoNeural radiance fields3D microscopyFourier lightfield microscopyElectrical and Electronic EngineeringView synthesisFourier Anàlisi deInstrumentation
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Combining fuzzy C-mean and normalized convolution for cloud detection in IR images

2009

An important task for the cloud monitoring in several frameworks is providing maps of the cloud coverage. In this paper we present a method to detect cloudy pixels for images taken from ground by an infra-red camera. The method is a three-steps algorithm mainly based on a Fuzzy C-Mean clustering, that works on a feature space derived from the original image and the output of the reconstructed image obtained via normalized convolution. Experiments, run on several infra-red images acquired under different conditions, show that the cloud maps returned are satisfactory. © 2009 Springer Berlin Heidelberg.

Infra-red imagePixelSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature vectorFuzzy setComputer Science (all)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCloud computingFuzzy logicImage (mathematics)Theoretical Computer ScienceNormalized convolutionComputer Science::Computer Vision and Pattern RecognitionFuzzy setComputer visionCloudiness maskArtificial intelligenceCluster analysisbusinessAstrophysics::Galaxy Astrophysics
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The second data release of the INT Photometric Hα Survey of the Northern Galactic Plane (IPHAS DR2)

2014

The INT/WFC Photometric H-Alpha Survey of the Northern Galactic Plane (IPHAS) is a 1800 square degrees imaging survey covering Galactic latitudes |b| < 5 deg and longitudes l = 30 to 215 deg in the r, i and H-alpha filters using the Wide Field Camera (WFC) on the 2.5-metre Isaac Newton Telescope (INT) in La Palma. We present the first quality-controlled and globally-calibrated source catalogue derived from the survey, providing single-epoch photometry for 219 million unique sources across 92% of the footprint. The observations were carried out between 2003 and 2012 at a median seeing of 1.1 arcsec (sampled at 0.33 arcsec/pixel) and to a mean 5\sigma-depth of 21.2 (r), 20.0 (i) and 20.3 (H-a…

InfraredAstronomyFOS: Physical sciencesAstrophysics01 natural scienceslaw.inventionRoot mean squarePhotometry (optics)surveyslaw0103 physical sciencesQB460stellar content [Galaxy]010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Solar and Stellar Astrophysics (astro-ph.SR)cataloguesPhysics010308 nuclear & particles physicsNewtonian telescopeVegaAstronomyAstronomy and AstrophysicsBeGalactic planeemission-line [stars]Astrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAstrophysics - Instrumentation and Methods for AstrophysicsData releaseData reduction
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