Search results for " algorithm"

showing 10 items of 2538 documents

A Bayesian direction-of-arrival model for an undetermined number of sources using a two-microphone array.

2014

Sound source localization using a two-microphone array is an active area of research, with considerable potential for use with video conferencing, mobile devices, and robotics. Based on the observed time-differences of arrival between sound signals, a probability distribution of the location of the sources is considered to estimate the actual source positions. However, these algorithms assume a given number of sound sources. This paper describes an updated research account on the solution presented in Escolano et al. [J. Acoust. Am. Soc. 132(3), 1257-1260 (2012)], where nested sampling is used to explore a probability distribution of the source position using a Laplacian mixture model, whic…

Microphone arrayAcoustics and UltrasonicsComputer scienceAcousticsBayesian probabilityDirection of arrivalSampling (statistics)DOAAcoustic source localizationMicrophone arraySpeech processingMixture modelBayesianSound source localizationArts and Humanities (miscellaneous)TEORIA DE LA SEÑAL Y COMUNICACIONESProbability distributionAlgorithmNested sampling algorithmThe Journal of the Acoustical Society of America
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Graph Topology Learning and Signal Recovery Via Bayesian Inference

2019

The estimation of a meaningful affinity graph has become a crucial task for representation of data, since the underlying structure is not readily available in many applications. In this paper, a topology inference framework, called Bayesian Topology Learning, is proposed to estimate the underlying graph topology from a given set of noisy measurements of signals. It is assumed that the graph signals are generated from Gaussian Markov Random Field processes. First, using a factor analysis model, the noisy measured data is represented in a latent space and its posterior probability density function is found. Thereafter, by utilizing the minimum mean square error estimator and the Expectation M…

Minimum mean square errorOptimization problemComputer scienceBayesian probabilityExpectation–maximization algorithmEstimatorGraph (abstract data type)Topological graph theoryBayesian inferenceAlgorithm2019 IEEE Data Science Workshop (DSW)
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Performance evaluation of simple fingerprint minutiae extraction algorithm using crossing number on valley structure

2008

In fingerprint recognition system, performance of fingerprint feature extraction algorithm is important. We use visual analysis to evaluate this performance. 100 respondents fill a questionnaire consisting of 30 images from fingerprint feature extraction process. We get 12,3 % minutiae points missed by this algorithm. With BOZORTH3 minutiae matching algorithm, the distribution of matching score of 80-fingerprint images are presented and we obtain EER 5.89 % at threshold value 180.

MinutiaeMatching (graph theory)Computer sciencebusiness.industryFeature extractionPattern recognitionImage segmentationFingerprint recognitionFingerprintComputer visionAlgorithm designArtificial intelligencebusinessBlossom algorithm2008 International Conference on Innovations in Information Technology
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Fingerprint image enhancement using directional morphological filter

2005

Fingerprint images quality enhancement is a topic phase to ensure good performance in an automatic fingerprint identification system (AFIS) based on minutiae matching. In this paper a new fingerprint enhancement algorithm based on morphological filter is introduced. The algorithm is based on three steps: directional decomposition, morphological filter and composition. The performance of the proposed approach has been evaluated on two sets of images: the first one is DB3 database from Fingerprint Verification Competition (FVC) and the second one is self collected using an optical scanner

MinutiaeScannerMatching (graph theory)business.industryComputer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhase (waves)Fingerprint Verification CompetitionPattern recognitionImage segmentationFingerprintBiometrics | Algorithms | fingerprint orientationArtificial intelligencebusiness
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Fitness and life-history traits of the two major mitochondrial DNA haplotypes of Drosophila subobscura

2004

Mitochondrial DNA restriction site analyses on natural populations of Drosophila subobscura have proved the existence of two common, coexisting haplotypes (I and II), as well as a set of less frequent ones derived from them. To explain this distribution, experiments to date point practically to all possible genetic mechanisms being involved in the changes of gene frequencies (cytonuclear coadaptation, direct natural selection on mtDNA and genetic drift). In an attempt to find differences that help to understand the dynamics of these haplotypes and to detect the effect of selection, we measured certain fitness components and life-history traits (egg-larva and larva-adult viabilities and deve…

Mitochondrial DNAmedia_common.quotation_subjectLongevityRestriction MappingPopulationBiologyDNA MitochondrialPolymerase Chain ReactionQuantitative Trait HeritableGenetic driftGeneticsAnimalsSelection GeneticeducationGenetics (clinical)Selection (genetic algorithm)media_commonTissue SurvivalGeneticseducation.field_of_studyNatural selectionHaplotypeLongevityDrosophila subobscuraHaplotypesEvolutionary biologyLarvaDrosophilaWolbachiaHeredity
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An evolutionary approach to multi-objective scheduling of mixed model assembly lines

1999

In this paper a multi-objective genetic algorithm for the scheduling of a mixed model assembly line is proposed, pursuing the line stop time minimisation together with the component usage smoothing. Specific features of the developed GA are step by step random selection of diversified crossover and mutation operators, population control for the substitution of duplicate chromosomes, and in-process updating of GA control parameters. Three different formulation of the fitness function were been tested with some distinct line configurations.

Mixed modelMutation operatorEngineeringMixed Model assembly line; Multiobjective scheduling; Genetic algorithmFitness functionMixed Model assembly lineGeneral Computer Sciencebusiness.industryCrossoverGeneral EngineeringGenetic algorithmMultiobjective schedulingStop timeControl parametersAssembly linebusinessAlgorithmSmoothing
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Effects of different simplified milk recording methods on genetic evaluation with Test-Day animal model

2007

The aims of the present study were to compare estimated breeding values (EBV) for milk yield using different testing schemes with a test-day animal model and to evaluate the effect of different testing schemes on the ranking of top sheep. Alternative recording schemes that use less information than that currently obtained with a monthly test-day schedule were employed to estimate breeding values. A random regression animal mixed model that used a spline function of days in milk was fitted. EBVs obtained with alternative recording schemes showed different degrees of Spearman correlation with EBVs obtained using the monthly recording scheme. These correlations ranged from 0.77 to 0.92. A redu…

Mixed modelSchedulerecording schemesTest-Days Genetic Evaluation Recording SchemesAnimal Breeding and GenomicsSpearman's rank correlation coefficientgenetic evaluationSettore AGR/17 - Zootecnica Generale E Miglioramento Geneticorandom regression-modelsAnimal modelRankingTest dayRandom regressionStatisticsWIASsplinesFokkerij en GenomicaAnimal Science and Zoologylcsh:Animal culturetest-daysSelection (genetic algorithm)lcsh:SF1-1100MathematicsItalian Journal of Animal Science
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Streaming for vehicular users via elastic proxy buffer management

2004

In this article we refer to the market of vehicular networks, where groups of customers located in the same public vehicle (e.g., a train or bus) connect to a terrestrial network through a wireless/satellite backbone link. Elastic buffering is a proxy management technique devised to decouple the multimedia information retrieval rate on the network backbone from the playout streaming rate at the user terminal. It has been shown in the past that the application of elastic buffering mechanisms in terrestrial networks brings significant advantages in terms of network effectiveness. We show that elastic buffering is an extremely effective means to reduce, or even eliminate, streaming service out…

Mobile radioService (systems architecture)Computer Networks and CommunicationsComputer scienceDelayed real time servicesMultimedia information retrievalCommunication channels (information theory)Resource sharing algorithmBuffer storageWirelessInformation retrievalWireless telecommunication systemsElectrical and Electronic EngineeringReal time streaming servicesProxy (statistics)Railroad car equipmentVehicular area networksBackbone networkInternetMobile computingVehicular ad hoc networkbusiness.industrySettore ING-INF/03 - TelecomunicazioniComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSSatellite communication systemsElastic proxy buffer managementLocal area networksReal time systemsAlgorithms; Buffer storage; Communication channels (information theory); Information retrieval; Internet; Local area networks; Multimedia systems; Railroad car equipment; Real time systems; Satellite communication systems; Satellite links; Wireless telecommunication systems; Delayed real time services; Elastic proxy buffer management; Fast internet for fast train hosts (FIFTH); Real time streaming services; Resource sharing algorithm; Vehicular area networks; Mobile computingComputer Science ApplicationsTerminal (electronics)Fast internet for fast train hosts (FIFTH)businessSatellite linksAlgorithmsMultimedia systemsComputer network
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PerPot: A metamodel for simulation of load performance interaction

2001

A metamodel is introduced, which on one hand can help to understand particular effects and phenomena in the interaction of load and performance in training processes. On the other hand, it can be used as a starting point for refinements to specific adaptation models. Finally, a software tool has been developed that supports different simulation approaches—for example, basic analysis of model parameter influences, diagnosis of the state of real adaptation systems, optimization of given load performance interactions, and planning optimal training schedules.

Model parameterComputer scienceSoftware toolGenetic algorithmOrthopedics and Sports MedicinePhysical Therapy Sports Therapy and RehabilitationPoint (geometry)Control engineeringGeneral MedicineState (computer science)Adaptation (computer science)MetamodelingScheduling (computing)European Journal of Sport Science
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State of the Art Review and Report of New Tool for Drug Discovery

2017

BACKGROUND There are a great number of tools that can be used in QSAR/QSPR studies; they are implemented in several programs that are reviewed in this report. The usefulness of new tools can be proved through comparison, with previously published approaches. In order to perform the comparison, the most usual is the use of several benchmark datasets such as DRAGON and Sutherland's datasets. METHODS Here, an exploratory study of Atomic Weighted Vectors (AWVs), a new tool useful for drug discovery using different datasets, is presented. In order to evaluate the performance of the new tool, several statistics and QSAR/QSPR experiments are performed. Variability analyses are used to quantify the…

Models Molecular0301 basic medicineQuantitative structure–activity relationshipMolecular StructureOrthogonality (programming)Computer scienceQuantitative Structure-Activity RelationshipGeneral MedicineState of the art reviewInformation theorycomputer.software_genreStructure-Activity Relationship03 medical and health sciences030104 developmental biologyDrug DiscoveryLinear regressionPrincipal component analysisGenetic algorithmBenchmark (computing)Data miningcomputerSoftwareCurrent Topics in Medicinal Chemistry
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