Search results for "Intelligence"

showing 10 items of 6959 documents

An Enhanced Detector of Blurred and Noisy Edges

2007

Detecting edges in digital images is a tricky operation in image processing since images may contain areas with different degrees of noise, blurring and sharpness. Such operation represents an important step of the whole process of similarity shape analysis and retrieval.

Digital imageComputer sciencebusiness.industryDetectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSmoothing filterComputer visionImage processingArtificial intelligencebusinessShape analysis (digital geometry)
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Efficient Classification of Digital Images based on Pattern-features

2018

Digital imageComputer sciencebusiness.industryPattern recognitionArtificial intelligencebusinessProceedings of the 5th International Conference on Physiological Computing Systems
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Residents’corner June 2014. PhotogRaphic Clues: Best Settings for Dermatologic Photography

2014

Obtaining digital images either for documentation or research purposes is a daily need for the dermatologist. Photography, as the art of capturing light, relies mainly on three modifiable elements: lens aperture (defined as the opening through which light reaches the camera sensor; expressed as “F-stops”, the smaller the number, the broader the aperture), shutter speed (the total time during which light reaches the sensor; it is indicated as fractions of a second) and ISO sensitivity (the light [...]

Digital imagebusiness.industryAperturePhotographyMedicineComputer visionDermatologyArtificial intelligenceImage sensorbusinessShutter speedEuropean Journal of Dermatology
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Implementation of pattern recognition algorithm based on RBF neural network

2002

In this paper, we present implementations of a pattern recognition algorithm which uses a RBF (Radial Basis Function) neural network. Our aim is to elaborate a quite efficient system which realizes real time faces tracking and identity verification in natural video sequences. Hardware implementations have been realized on an embedded system developed by our laboratory. This system is based on a DSP (Digital Signal Processor) TMS320C6x. The optimization of implementations allow us to obtain a processing speed of 4.8 images (240x320 pixels) per second with a correct rate of 95% of faces tracking and identity verification.

Digital signal processorArtificial neural networkPixelComputer sciencebusiness.industryPattern recognitionPattern recognition (psychology)Identity (object-oriented programming)Radial basis functionComputer visionArtificial intelligencebusinessAlgorithmImplementationDigital signal processingSPIE Proceedings
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Inflectional speaker-role classifiers in Weining Ahmao

2008

Abstract This paper is the first of two (see references) aiming to bring to the attention of pragmaticians an idiosyncratic classifier system that encodes speaker-roles along the lines of gender and age. Isolating (analytic) languages are known for their scarcity of word forms and for their under-specification of grammatical categories. Analytic languages in East and Southeast Asian involve classifiers – a word category without counterpart in most languages of the inflectional type – to attenuate some of the vagueness in the nominal realm. Similar to other parts of speech, the classifier generally constitutes a one-form word category with occasional sandhi-derivations. Weining Ahmao, a Miao…

DiminutiveLinguistics and LanguageAnalytic languageArtificial IntelligenceClassifier (linguistics)Grammatical categoryDeixisSoutheast asianPsychologyLanguage and LinguisticsAugmentativeLinguisticsPluralJournal of Pragmatics
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An Heuristic Approach for the Training Dataset Selection in Fingerprint Classification Tasks

2015

Fingerprint classification is a key issue in automatic fingerprint identification systems. It aims to reduce the item search time within the fingerprint database without affecting the accuracy rate. In this paper an heuristic approach using only the directional image information for the training dataset selection in fingerprint classification tasks is described. The method combines a Fuzzy C-Means clustering method and a Naive Bayes Classifier and it is composed of three modules: the first module builds the working datasets, the second module extracts the training images dataset and, finally, the third module classifies fingerprint images in four classes. Unlike literature approaches using …

Directional imageFingerprint classificationComputer sciencebusiness.industryHeuristicNaive bayes classifierTraining dataset optimizationPattern recognitionBayes classifiercomputer.software_genreClass (biology)Fuzzy logicNaive Bayes classifierComputingMethodologies_PATTERNRECOGNITIONFingerprintArtificial intelligenceData miningCluster analysisbusinesscomputerSelection (genetic algorithm)Fuzzy C-Mean
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Sparse Image Representation by Directionlets

2010

Despite the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency and sparsity of its representation are limited by the spatial symmetry and separability of its basis functions built in the horizontal and vertical directions. One-dimensional discontinuities in images (edges or contours), which are important elements in visual perception, intersect too many wavelet basis functions and lead to a non-sparse representation. To capture efficiently these elongated structures characterized by geometrical regularity along different directions (not only the horizontal and vertical), a more complex multidirectional (M-DIR) and asymmetric transform is requi…

Directional transformsbusiness.industryMultiresolution analysisWavelet transformImage codingImage processingDirectional vanishing momentsContourletImage orientation analysisWavelet transformsWaveletCurveletImage scalingImage interpolationComputer visionSeparable transformsArtificial intelligencebusinessAlgorithmMultiresolution analysisSparse representationMathematicsImage compression
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Universal Design of Information Sharing Tools for Disaster Risk Reduction

2019

International audience; Disaster information sharing tools are an important aspect of disaster resilience, and it is of utmost importance that these tools are accessible and usable for as many potential users as possible. In this paper, we evaluate the accessibility of a selection of tools for crowdsourcing disaster situation information. As our evaluation shows that the selected tools are not fully accessible, we provide recommendations for mitigation, as well as highlight the importance of further research in this area.

Disaster risk reductionbusiness.industryComputer sciencemedia_common.quotation_subjectUniversal designInformation sharing05 social sciencesDisaster Risk Reduction (DRR)050301 education02 engineering and technologyCrowdsourcingDisaster resilienceDisaster information sharing toolsRisk analysis (engineering)0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingPsychological resilienceDisaster risk reductionbusinessResilience (network)0503 educationSelection (genetic algorithm)media_common
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Co-occurrence of discourse markers in English : from juxtaposition to composition

2019

Abstract In this paper, we report on a qualitative analysis of co-occurring discourse markers, that is, sequences of adjacent discourse markers that belong to the same unit but may express different functions. We examine several formal and functional features of these co-occurring strings on the basis of corpus examples extracted from conversational data in English. In particular, we focus on scope, meaning-in-context (or functions), syntactic category and position. Our analysis reveals several degrees of integration: differences in scope allow us to differentiate juxtaposition and combination of markers. In the case of combination, difference in meaning integration allows us to distinguish…

Discourse markers050101 languages & linguisticsLinguistics and LanguageComputer scienceScope05 social sciencesCo-occurrenceDM co-occurrenceCorpus050105 experimental psychologyLanguage and LinguisticsLinguisticsLanguages and LiteraturesFocus (linguistics)AnnotationSyntactic categoryArtificial IntelligenceEnglishPragmatic functions0501 psychology and cognitive sciencesComposition (language)Scope (computer science)Discourse markerMeaning (linguistics)
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Using discourse segmentation to account for the polyfunctionality of discourse markers:The case of well

2021

Abstract A large number of studies describe the many different functions of polyfunctional discourse markers like well in different contexts and from different theoretical perspectives. In the current paper, we propose to systematize the many different uses identified based on their position with respect to the discourse units they are associated with. Not only can previous findings on well be integrated into a single coherent representation of its uses and functions, but the positions with respect to the discourse units can also be associated with specific functions, thus shedding light on how the polyfunctionality of well is brought about.

Discourse markers050101 languages & linguisticsLinguistics and LanguageDiscourse unitsCurrent (mathematics)Computer sciencecomputer.software_genreWell050105 experimental psychologyLanguage and LinguisticsConstruction grammarArtificial IntelligencePosition (vector)Discourse segmentation0501 psychology and cognitive sciencesSegmentationPolyfunctionalitybusiness.industry05 social sciencesRepresentation (systemics)Construction grammarArtificial intelligencebusinesscomputerVAMDiscourse markerNatural language processing
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