Search results for "methodologies"

showing 10 items of 2106 documents

Patch-Based Image Denoising Model for Mixed Gaussian Impulse Noise Using L1 Norm

2017

Image denoising is the classes of technique used to free the image form the noise. The noise in the image may be added during the observation process due to the improper setting of the camera lance, low-resolution camera, cheap, and low-quality sensors, etc. Noise in the image may also be added during the image restoration, image transmission through the transmission media. To obtain required information from image, image must be noise free, i.e., high-frequency details must be present in the image. There are number of applications where image denoising is needed such as remote location detection, computer vision, computer graphics, video surveillance, etc. In last two decades, numbers of m…

Mathematical optimizationbusiness.industryComputer scienceGaussianComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTransmission mediumImpulse (physics)Non-local meansImpulse noiseComputer graphicssymbols.namesakeGaussian noiseComputer Science::Computer Vision and Pattern RecognitionsymbolsComputer visionArtificial intelligencebusinessImage restoration
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Some Results about Frames

1997

In this paper we discuss some topics related to the general theory of frames. In particular we focus our attention to the existence of different 'reconstruction formulas' for a given vector of a certain Hilbert space and to some refinement of the perturbative approach for the computation of the dual frame.

Mathematics - Functional AnalysisPhysics and Astronomy (all)FOS: MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSettore MAT/07 - Fisica MatematicaFunctional Analysis (math.FA)
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An application of neural networks to natural scene segmentation

2006

This paper introduces a method for low level image segmentation. Pixels of the image are classified corresponding to their chromatic features.

Mathematics::CombinatoricsArtificial neural networkPixelSegmentation-based object categorizationbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationImage segmentationImage (mathematics)Computer Science::Computer Vision and Pattern RecognitionNatural (music)Computer visionChromatic scaleArtificial intelligencebusiness
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Combinatorial Gray codes for classes of pattern avoiding permutations

2007

The past decade has seen a flurry of research into pattern avoiding permutations but little of it is concerned with their exhaustive generation. Many applications call for exhaustive generation of permutations subject to various constraints or imposing a particular generating order. In this paper we present generating algorithms and combinatorial Gray codes for several families of pattern avoiding permutations. Among the families under consideration are those counted by Catalan, Schr\"oder, Pell, even index Fibonacci numbers and the central binomial coefficients. Consequently, this provides Gray codes for $\s_n(\tau)$ for all $\tau\in \s_3$ and the obtained Gray codes have distances 4 and 5.

Mathematics::CombinatoricsFibonacci numberPattern avoiding permutationsGeneral Computer ScienceOrder (ring theory)Generating algorithms94B25Gray codesCombinatorial algorithms05A05; 94B25; 05A15Theoretical Computer ScienceCombinatoricsSet (abstract data type)Constraint (information theory)Gray codePermutation05A05ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONFOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)05A15Binomial coefficientComputer Science(all)MathematicsTheoretical Computer Science
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Some subgroup embeddings in finite groups

2015

In this survey paper several subgroup embedding properties related to some types of permutability are introduced and studied.

Mathematics::Group TheoryMathematics::Combinatoricsnervous systemmusculoskeletal neural and ocular physiologyComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONGrups Teoria demacromolecular substancesÀlgebraMathematicsofComputing_DISCRETEMATHEMATICS
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Solution of coupled riccati equations occurring in nash games

2006

To obtain the open-loop Nash strategy for a linear-quadratic differential game, a set of coupled matrix Riccati equations has to be solved. It is shown that by means of algebraic transformations, the original problem can be reduced to another one to which the successive approximation method is applicable. This leads to a simple iterative algorithm with a predetermined approximation error. An example is given to illustrate the proposed method.

Matrix (mathematics)Simple (abstract algebra)Iterative methodApproximation errorComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONDifferential gameMatrix normRiccati equationApplied mathematicsMathematical economicsAlgebraic Riccati equationMathematics
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A Parallel Approach for Statistical Texture Parameter Calculation

2014

This chapter focusses on the development of a new image processing technique for the processing of large and complex images, especially SAR images. We propose here a new and effective approach that outperforms the existing methods for the calculation of high order textural parameters. With a single processor, this approach is about \(256^{n-1}\) times faster than the co-occurrence matrix approach considered as classical, where \(n\) is the order of the textural parameter for a 256-gray scales image. In a parallel environment made of N processor, this performance can almost be multiply by the factor N. Our approach is based on a new modeling of textural parameters of a generic order \(n>1\) …

Matrix (mathematics)Texture (cosmology)Computer Science::Computer Vision and Pattern RecognitionImage (category theory)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOrder (ring theory)ByteImage processingDevelopment (differential geometry)Space (mathematics)AlgorithmMathematics
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Construction of a fundamental set of solutions of an arbitrary homogeneous linear difference equation

2002

Abstract The detailed construction of a prefixed fundamental set of solutions of a linear homogeneous difference equation of any order with arbitrarily variable coefficients is reported. The usefulness of the resulting resolutive formula is illustrated by simple applications to the Hermite polynomials and to the Fibonacci sequence.

Matrix difference equationFibonacci numberHermite polynomialsDifferential equationMathematical analysisMathematicsofComputing_NUMERICALANALYSISCharacteristic equationStatistical and Nonlinear PhysicsDifference equation matrix calculations Fibonacci sequence.Homogeneous differential equationComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONLinear difference equationMathematical PhysicsVariable (mathematics)MathematicsReports on Mathematical Physics
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A SYNTHETIC MEASURE FOR THE ASSESSMENT OF THE PROJECT PERFORMANCE

2009

The present paper aims to offer a synthetic project performance indicator (PPI) that aggregates two input parameters obtained by the Earned Value Analysis. The PPI is calculated by using a Fuzzy Inference System (FIS) able to single out a measure based on the input parameters, instead of formulating a mathematical model that could be a troublesome task whenever complex relations among the input variables exist. The purpose is to communicate the project performance to the stakeholders in a clear and complete way, for example, describing the PPI by means of contour lines.

Measure (data warehouse)ComputingMethodologies_PATTERNRECOGNITIONFuzzy inference systemComputer scienceContour lineSettore ING-IND/17 - Impianti Industriali MeccaniciPerformance indicatorData miningcomputer.software_genrecomputerProject Performance Measurement Earned Value Fuzzy Inference SystemTask (project management)Earned value management
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UML-Based Metamodeling for Information System Engineering and Evolution

2003

In modelers’ practice metamodels have become the core of UML-based metamodeling environments: metamodels form the basis of application domain descriptions, and they are instantiated into models. In the context of information system engineering and interoperability, we have developped two operations on metamodels: metamodel integration and measure of semantical distance between metamodels. In this paper, we explore application of these operations to information systems’ evolution.

Measure (data warehouse)ComputingMethodologies_SIMULATIONANDMODELINGbusiness.industryComputer scienceInteroperabilityContext (language use)MetamodelingUnified Modeling LanguageSoftware_SOFTWAREENGINEERINGApplication domainInformation systemSoftware_PROGRAMMINGLANGUAGESSoftware engineeringbusinesscomputerAlgorithmSoftware architecture descriptioncomputer.programming_language
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