Search results for "Pattern identification"

showing 3 items of 3 documents

Comparative Study of Human and Automated Screening for Antinuclear Antibodies by Immunofluorescence on HEp-2 Cells

2015

Background : Several automated systems had been developed in order to reduce inter-observer variability in indirect immunofluorescence (IIF) interpretation. We aimed to evaluate the performance of a processing system in antinuclear antibodies (ANA) screening on HEp-2 cells. Patients and Methods : This study included 64 ANA-positive sera and 107 ANA-negative sera that underwent IIF on two commercial kits of HEp-2 cells (BioSystems® and Euroimmun®). IIF results were compared with a novel automated interpretation system, the “ Cyclopus CADImmuno®” (CAD). Results : All ANA-positive sera images were recognized as positive by CAD (sensitivity = 100%), while 17 (15.9%) of the ANA-negative sera ima…

Statistics and ProbabilityPathologymedicine.medical_specialtyIndirect immunofluorescenceAnti-nuclear antibodymedicine.diagnostic_testbusiness.industryConcordanceHealth InformaticsIIfImmunofluorescenceHealth Professions (miscellaneous)Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Continuous integrationPattern identificationAutoantibodies HEp-2 Immunofluorescence autoimmune diseases automated screening standardization.Health Information ManagementMedicineFine speckledbusinessInternational Journal of Statistics in Medical Research
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Intruder Pattern Identification

2008

This paper considers the problem of intrusion detection in information systems as a classification problem. In particular the case of masquerader is treated. This kind of intrusion is one of the more difficult to discover because it may attack already open user sessions. Moreover, this problem is complex because of the large variability of user models and the lack of available data for the learning purpose. Here, flexible and robust similarity measures, suitable also for non-numeric data, are defined, they will be incorporated on a one-class training K N N and compared with several classification methods proposed in the literature using the Masquerading User Data set (www.schonlau.net) repr…

UnixSimilarity (geometry)Settore INF/01 - Informaticabusiness.industryComputer scienceIntrusion detection systemSimilarity measurecomputer.software_genreMachine learningPattern identificationData setIntrusionOne class calssifier Masquerader detection Intrusion detection systemsInformation systemData miningArtificial intelligencebusinesscomputer
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Model selection using limiting distributions of second-order blind source separation algorithms

2015

Signals, recorded over time, are often observed as mixtures of multiple source signals. To extract relevant information from such measurements one needs to determine the mixing coefficients. In case of weakly stationary time series with uncorrelated source signals, this separation can be achieved by jointly diagonalizing sample autocovariances at different lags, and several algorithms address this task. Often the mixing estimates contain close-to-zero entries and one wants to decide whether the corresponding source signals have a relevant impact on the observations or not. To address this question of model selection we consider the recently published second-order blind identification proced…

ta112Series (mathematics)Estimation theoryModel selectionasymptotic normalitypattern identificationAsymptotic distributionInformation Criteriaoint diagonalization SOBI AsympBlind signal separationMatrix (mathematics)Control and Systems EngineeringSOBISignal Processingjoint diagonalizationComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringAlgorithmSoftwareMixing (physics)MathematicsSignal Processing
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