Search results for "Pattern"

showing 10 items of 4203 documents

Silhouette encoding and synthesis using elliptic Fourier descriptors, and applications to videoconferencing

2004

Abstract This paper investigates the use of elliptic Fourier descriptors as a shape descriptor for encoding the silhouette of a person. Shape descriptors are here used for predicting the shape of silhouettes in missing frames within a sequence. This prediction scheme is applied to the case of generating in-between images in a low frame rate videoconferencing system, where the reconstructed silhouette is used as a binary mask for reducing the computational time for the frame reconstruction.

Sequencebusiness.industryComputer scienceFrame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBinary numberFrame ratecomputer.software_genreLanguage and LinguisticsComputer Science ApplicationsSilhouetteHuman-Computer Interactionsymbols.namesakeFourier transformVideoconferencingComputer Science::Computational Engineering Finance and ScienceComputer Science::Computer Vision and Pattern RecognitionEncoding (memory)symbolsComputer visionArtificial intelligencebusinesscomputerComputingMethodologies_COMPUTERGRAPHICSJournal of Visual Languages & Computing
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Healthcare trajectory mining by combining multidimensional component and itemsets

2012

Sequential pattern mining is aimed at extracting correlations among temporal data. Many different methods were proposed to either enumerate sequences of set valued data (i.e., itemsets) or sequences containing multidimensional items. However, in real-world scenarios, data sequences are described as events of both multidimensional items and set valued information. These rich heterogeneous descriptions cannot be exploited by traditional approaches. For example, in healthcare domain, hospitalizations are defined as sequences of multi-dimensional attributes (e.g. Hospital or Diagnosis) associated with two sets, set of medical procedures (e.g. $ \lbrace $ Radiography, Appendectomy $\rbrace$) and…

Sequential PatternsComputer scienceDONNEE MEDICALE02 engineering and technologyReusecomputer.software_genreSynthetic dataDomain (software engineering)DATA MININGSet (abstract data type)Multi-dimensional Sequential Patterns020204 information systemsComponent (UML)SANTE0202 electrical engineering electronic engineering information engineeringPoint (geometry)SEQUENTIAL PATTERNMULTI DIMENSIONAL SEQUENTIAL PATTERNANALYSE DE DONNEES[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]BASE DE DONNEESTemporal databaseINFORMATIQUEScalabilityTRAJECTOIRE[SDE]Environmental Sciences020201 artificial intelligence & image processingData miningFOUILLEcomputer
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Quantifying the complexity of short-term heart period variability through K nearest neighbor local linear prediction

2008

The complexity of short-term heart period (HP) variability was quantified exploiting the paradigm that associates the degree of unpredictability of a time series to its dynamical complexity. Complexity was assessed through k-nearest neighbor local linear prediction. A proper selection of the parameter k allowed us to perform either linear or nonlinear prediction, and the comparison of the two approaches to infer the presence of nonlinear dynamics. The method was validated on simulations reproducing linear and nonlinear time series with varying levels of predictability. It was then applied to HP variability series measured from healthy subjects during head-up tilt test, showing that short-te…

Series (mathematics)Degree (graph theory)Computer Science Applications1707 Computer Vision and Pattern Recognitionk-nearest neighbors algorithmTerm (time)Nonlinear systemPosition (vector)Control theorySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaComputer Science Applications1707 Computer Vision and Pattern Recognition; Cardiology and Cardiovascular MedicineTime seriesPredictabilityCardiology and Cardiovascular MedicineAlgorithmMathematics
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Experimental approach for testing the uncoupling between cardiovascular variability series

2002

In cardiovascular variability analysis, the significance of the coupling between two series is commonly assessed by defining a zero level on the magnitude-squared coherence (MSC). Although the use of the conventional value of 0.5 does not consider the dependence of MSC estimates on the analysis parameters, a theoretical threshold Tt is available only for the weighted covariance (WC) estimator. In this study, an experimental threshold for zero coherence Te was derived by a statistical test from the sampling distribution of MSC estimated on completely uncoupled time series. MSC was estimated by the WC method (Parzen window, spectral bandwidth B = 0.015, 0.02, 0.025, 0.03 Hz) and by the parame…

Series (mathematics)Kernel density estimationModels CardiovascularMyocardial InfarctionBiomedical EngineeringEstimatorComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedCoherence (statistics)CovarianceFeedbackComputer Science ApplicationsSpectral analysiElectrocardiographySampling distributionAutoregressive modelCardiovascular variability serieStatisticsHumansMagnitude-squared coherenceParametric statisticsMathematicsMedical & Biological Engineering & Computing
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Vertical take-off and landing air transport to provide tourist mobility.

2012

Abstract This paper examines helicopter transfer services to reach attractive and not very accessible tourist areas, taking Sicily and its minor islands, in the South of Italy, as a case study. We investigate the viability of helicopter scheduled services for tourists moving from/to airports or doing one day tours to visit far away places. The mode choice of tourists is simulated using random utility models employing stated preference data. Heli-shuttle service is planned in terms of fleet size, frequency, fare and location pattern of heliports. The paper also analyses how a public subsidy reducing fares might change the set of feasible connections.

Service (business)Air transportStrategy and ManagementTransportationSubsidyManagement Monitoring Policy and LawTransport engineeringAir Transport tourist mobilitySettore ICAR/05 - TrasportiLocation patternPreference dataRandom utility modelsBusinessLawVertical take off and landingTourism
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Solution Using Clustering Methods

1987

The main aim of this analysis is to find out typical morphologies from the multivariate and longitudinal data set on growing children and to describe the morphological evolution of the found groups of girls. The finding out of typical morphologies is, in our opinion, strictly linked to the search of structures in the individuals and in the variables.

Set (abstract data type)BiclusteringMultivariate statisticsComputer scienceCURE data clustering algorithmbusiness.industryLongitudinal dataConsensus clusteringCorrelation clusteringPattern recognitionArtificial intelligencebusinessCluster analysis
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Introducing pattern reuse in the design of multi-agent systems

2002

This paper focuses on design issues to be faced when developing knowledge management (KM) applications based on the integration of peer-to-peer and multi-agent technologies. The reasons for using these technologies rest on the requirements posed by the specific KM paradigm that has been adopted, which emphasizes aspects such as autonomy and distribution of knowledge sources. We adopt an agent-oriented approach that extends Tropos, a software engineering methodology introduced in earlier papers. We present a characterization of peer-to-peer in terms of a general architectural pattern, a set of design guidelines for peer-to-peer applications, and a framework that integrates multi-agent and pe…

Set (abstract data type)EngineeringArchitectural patternbusiness.industryMulti-agent systemSystems engineeringSoftware designClass diagramActivity diagramReuseComputer-aided software engineeringbusinessSoftware engineering
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Quantifying Mean Shape and Variability of Footprints Using Mean Sets

2005

This paper1 presents an application of several definitions of a mean set for use in footwear design. For a given size, footprint pressure images corresponding to different individuals constitute our raw data. Appropriate footwear design needs to have knowledge of some kind of typical footprint. Former methods based on contour relevant points are highly sensitive to contour noise; moreover, they lack repeatability because of the need for the intervention of human designers. The method proposed in this paper is based on using mean sets on the thresholded images of the pressure footprints. Three definitions are used, two of them from Vorob’ev and Baddeley-Molchanov and one morphological mean p…

Set (abstract data type)FootprintComputer scienceRobustness (computer science)business.industryPattern recognitionNoise (video)RepeatabilityArtificial intelligenceRaw databusinessHighly sensitive
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PRIvacy LEakage Methodology (PRILE) for IDS Rules

2010

This paper introduces a methodology for evaluating PRIvacy LEakage in signature-based Network Intrusion Detection System (IDS) rules. IDS rules that expose more data than a given percentage of all data sessions are defined as privacy leaking. Furthermore, it analyses the IDS rule attack specific pattern size required in order to keep the privacy leakage below a given threshold, presuming that occurrence frequencies of the attack pattern in normal text are known. We have applied the methodology on the network intrusion detection system Snort’s rule set. The evaluation confirms that Snort in its default configuration aims at not being excessively privacy invasive. However we have identified s…

Set (abstract data type)Pattern sizeEngineeringbusiness.industryPrivacy softwareData miningNetwork intrusion detectionLeakage (economics)computer.software_genreComputer securitybusinesscomputerSignature (logic)
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Springback Evaluation In Basic Sheet Metal Stamping Processes

2000

In the present paper a measurement technique based on the shadow moire method has been set up in order to evaluate the springback phenomenon in deep drawing operations. Two proper coefficients are introduced to quantitatively describe the effect considered. In particular the proposed technique is able to acquire the final profile of the drawn parts along one or more generatrices, once extracted out from the dies and to compare such profile with the ideal one derived from the dies CAD geometry. The proposed technique has been applied to an axysimmetrical deep drawing operation and moreover the influence of the blankholder force level and of the lubricating conditions have been taken into acc…

Set (abstract data type)Shadow moireEngineering drawingEngineeringIdeal (set theory)Force levelbusiness.industryFringe patternSheet metal stampingMechanical engineeringCADDeep drawingbusiness
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