Search results for "Information System"

showing 10 items of 2404 documents

An efficient upper bound of the rotation distance of binary trees

2000

A polynomial time algorithm is developed for computing an upper bound for the rotation distance of binary trees and equivalently for the diagonal-flip distance of convex polygons triangulations. Ordinal tools are used.

Binary treeRegular polygonComputer Science::Computational GeometryUpper and lower boundsComputer Science ApplicationsTheoretical Computer ScienceCombinatoricsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYLattice (order)Signal ProcessingTime complexityComputingMethodologies_COMPUTERGRAPHICSInformation SystemsMathematicsInformation Processing Letters
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The Myriad Virtues of Wavelet Trees

2009

Wavelet Trees have been introduced in [Grossi, Gupta and Vitter, SODA '03] and have been rapidly recognized as a very flexible tool for the design of compressed full-text indexes and data compressors. Although several papers have investigated the beauty and usefulness of this data structure in the full-text indexing scenario, its impact on data compression has not been fully explored. In this paper we provide a complete theoretical analysis of a wide class of compression algorithms based on Wavelet Trees. We also show how to improve their asymptotic performance by introducing a novel framework, called Generalized Wavelet Trees, that aims for the best combination of binary compressors (like,…

Binary treeWeight-balanced treeWavelet transformCascade algorithmData_CODINGANDINFORMATIONTHEORYHuffman codingData CompressionTheoretical Computer ScienceComputer Science ApplicationsSet partitioning in hierarchical treessymbols.namesakeWaveletComputational Theory and Mathematicssymbolsempirical entropyBurrows-Wheeler TransformAlgorithmData compressionMathematicsInformation SystemsWavelet Trees
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Quantitative comparison of motion history image variants for video-based depression assessment

2017

Abstract Depression is the most prevalent mood disorder and a leading cause of disability worldwide. Automated video-based analyses may afford objective measures to support clinical judgments. In the present paper, categorical depression assessment is addressed by proposing a novel variant of the Motion History Image (MHI) which considers Gabor-inhibited filtered data instead of the original image. Classification results obtained with this method on the AVEC’14 dataset are compared to those derived using (a) an earlier MHI variant, the Landmark Motion History Image (LMHI), and (b) the original MHI. The different motion representations were tested in several combinations of appearance-based …

BiometricsComputer scienceSpeech recognitionlcsh:TK7800-836002 engineering and technologyConvolutional neural networkMotion (physics)[SPI]Engineering Sciences [physics]Image processingMachine learning0502 economics and business[ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringCategorical variableComputingMilieux_MISCELLANEOUSLandmarkbusiness.industrylcsh:Electronics05 social sciencesAffective computingFacial image analysisPattern recognitionMotion history imageMoodSignal ProcessingPattern recognition (psychology)Depression assessment020201 artificial intelligence & image processingArtificial intelligenceF1 scorebusiness050203 business & managementInformation SystemsEURASIP Journal on Image and Video Processing
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BED: A new dataset for EEG-based biometrics

2021

Various recent research works have focused on the use of electroencephalography (EEG) signals in the field of biometrics. However, advances in this area have somehow been limited by the absence of a common testbed that would make it possible to easily compare the performance of different proposals. In this work, we present a data set that has been specifically designed to allow researchers to attempt new biometric approaches that use EEG signals captured by using relatively inexpensive consumer-grade devices. The proposed data set has been made publicly accessible and can be downloaded from https://doi.org/10.5281/zenodo.4309471 . It contains EEG recordings and responses from 21 individuals…

Biometricsmedicine.diagnostic_testComputer Networks and CommunicationsComputer sciencebusiness.industryContext (language use)ElectroencephalographyMachine learningcomputer.software_genreFacial recognition systemField (computer science)Computer Science ApplicationsData setIdentification (information)Consistency (database systems)Hardware and ArchitectureSignal ProcessingmedicineArtificial intelligencebusinesscomputerInformation Systems
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Validation of a mapping and prediction model for human fasciolosis transmission in Andean very high altitude endemic areas using remote sensing data.

2001

The present paper aims to validate the usefulness of the Normalized Difference Vegetation Index (NDVI) obtained by satellite remote sensing for the development of local maps of risk and for prediction of human fasciolosis in the Northern Bolivian Altiplano. The endemic area, which is located at very high altitudes (3800-4100 m) between Lake Titicaca and the valley of the city of La Paz, presents the highest prevalences and intensities of fasciolosis known in humans. NDVI images of 1.1 km resolution from the Advanced Very High Resolution Radiometer (AVHRR) sensor on board the National Oceanic and Atmospheric Administration (NOAA) series of environmental satellites appear to provide adequate …

BoliviaFascioliasisGeographic information systemAdvanced very-high-resolution radiometerVeterinary (miscellaneous)Normalized Difference Vegetation IndexRisk FactorsmedicinePrevalenceHumansFasciolosisbusiness.industryAltitudeEffects of high altitude on humansmedicine.diseaseSatellite CommunicationsField (geography)Infectious DiseasesGeographyRemote sensing (archaeology)Insect ScienceLinear ModelsParasitologySatellitebusinessCartographyActa tropica
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Processing of rock core microtomography images: Using seven different machine learning algorithms

2016

The abilities of machine learning algorithms to process X-ray microtomographic rock images were determined. The study focused on the use of unsupervised, supervised, and ensemble clustering techniques, to segment X-ray computer microtomography rock images and to estimate the pore spaces and pore size diameters in the rocks. The unsupervised k-means technique gave the fastest processing time and the supervised least squares support vector machine technique gave the slowest processing time. Multiphase assemblages of solid phases (minerals and finely grained minerals) and the pore phase were found on visual inspection of the images. In general, the accuracy in terms of porosity values and pore…

Boosting (machine learning)010504 meteorology & atmospheric sciencesComputer performanceComputer sciencebusiness.industryFeature vectorPattern recognition010502 geochemistry & geophysics01 natural sciencesFuzzy logicSupport vector machineComputingMethodologies_PATTERNRECOGNITIONLeast squares support vector machineArtificial intelligenceComputers in Earth SciencesCluster analysisPorositybusiness0105 earth and related environmental sciencesInformation SystemsComputers & Geosciences
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Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

2014

International audience; Smart camera, i.e. cameras that are able to acquire and process images in real-time, is a typical example of the new embedded computer vision systems. A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life. In this paper, we propose a methodology for development and fast-prototyping of a fall detection system based on such a smart camera, which allows to reduce the development time compared to standard approaches. Founded on a supervised classification approach, we propose a HW/SW implementation to detect falls in a home environment using a single camera and an optimized descriptor adapted to real-time t…

Boosting (machine learning)Computer scienceReal-time computing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]HW/SW implementationFast smart camera prototypingComputer graphicsReal-time fall detectionZynq0202 electrical engineering electronic engineering information engineering[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsSmart cameraArchitectureComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHome environmentbusiness.industryEfficient algorithm[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SoC implementation020202 computer hardware & architectureEmbedded systemHardware accelerationBoosting hardware implementation[INFO.INFO-ES]Computer Science [cs]/Embedded Systems020201 artificial intelligence & image processingFall detectionbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingInformation SystemsJournal of Real-Time Image Processing
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An ecological model of bridging the digital divide in education: A case study of OLPC deployment in Nepal

2018

Bridging (networking)05 social sciences02 engineering and technologyInformation ecologySoftware deployment020204 information systems0502 economics and business0202 electrical engineering electronic engineering information engineeringRegional scienceSocial ecological modelSociologyDigital divide050203 business & managementInformation SystemsThe Electronic Journal of Information Systems in Developing Countries
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Investigating Centrality Measures in Social Networks with Community Structure

2021

Centrality measures are crucial in quantifying the influence of the members of a social network. Although there has been a great deal of work dealing with this issue, the vast majority of classical centrality measures are agnostic of the community structure characterizing many social networks. Recent works have developed community-aware centrality measures that exploit features of the community structure information encountered in most real-world complex networks. In this paper, we investigate the interactions between 5 popular classical centrality measures and 5 community-aware centrality measures using 8 real-world online networks. Correlation as well as similarity measures between both t…

Bridging (networking)Social networkExploitbusiness.industryComputer scienceNode (networking)Community structure02 engineering and technologyComplex networkData science[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]020204 information systemsSimilarity (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessCentralityComputingMilieux_MISCELLANEOUS
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The Bronze Age in Lorraine: a proposed model of the settlement

2022

Thirty years of assiduous preventive archaeology practice in Lorraine have built up a stock of data that can be used for numerous archaeological problems with a spatial focus.For the Bronze Age, as for the other chronological periods, the archaeological occupations discovered during diagnostics and excavations are strongly correlated with current developments (motorways, TGV, housing estates, quarries, etc.). These occupations must be discussed in order to estimate their spatial representativeness. Similarly, the landscape characterisation, in which the occupations highlighted are situated, is an important step in defining the types of settlement.As most of the data comes from the national …

Bronze Age[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistoryâge du Bronzesommes des densités de probabilitésum of probability densityhierarchy[SHS] Humanities and Social Sciencesdynamiques d’occupationsettlements dynamicsGeographical Information SystemhiérarchisationSystème d’information Géographique
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