Search results for "METHODOLOGIE"

showing 10 items of 2141 documents

Coupled Susy, pseudo-bosons and a deformed su(1, 1) Lie algebra

2021

Abstract In a recent paper a pair of operators a and b satisfying the equations a † a = bb † + γ 1 and aa † = b † b + δ 1 , has been considered, and their nature of ladder operators has been deduced and analyzed. Here, motivated by the spreading interest in non self-adjoint operators in quantum mechanics, we extend this situation to a set of four operators, c, d, r and s, satisfying dc = rs + γ 1 and cd = sr + δ 1 , and we show that they are also ladder operators. We show their connection with biorthogonal families of vectors and with the so-called D -pseudo bosons. Some examples are discussed.

Statistics and ProbabilityPhysicsCoupled SUSY quantum mechanicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsSupersymmetryLadder operatorModeling and SimulationBiorthogonal systemLadder operatorsLie algebraComputingMethodologies_DOCUMENTANDTEXTPROCESSINGPseudo-bosonsConnection (algebraic framework)Settore MAT/07 - Fisica MatematicaMathematical PhysicsBosonMathematical physics
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A web application for the unspecific detection of differentially expressed DNA regions in strand-specific expression data

2015

Abstract Genomic technologies allow laboratories to produce large-scale data sets, either through the use of next-generation sequencing or microarray platforms. To explore these data sets and obtain maximum value from the data, researchers view their results alongside all the known features of a given reference genome. To study transcriptional changes that occur under a given condition, researchers search for regions of the genome that are differentially expressed between different experimental conditions. In order to identify these regions several algorithms have been developed over the years, along with some bioinformatic platforms that enable their use. However, currently available appli…

Statistics and ProbabilitySequence analysisADNGenomicsComputational biologyBiologycomputer.software_genreBiochemistryGenomeComputer GraphicsExpressió genèticaWeb applicationHumansMolecular BiologyGeneInternetMicroarray analysis techniquesbusiness.industryGenome HumanGene Expression ProfilingComputational BiologyHigh-Throughput Nucleotide SequencingDNAGenomicsSequence Analysis DNAComputer Science ApplicationsGene expression profilingComputational MathematicsGenòmicaComputingMethodologies_PATTERNRECOGNITIONComputational Theory and MathematicsData miningbusinesscomputerAlgorithmsGenèticaReference genome
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Design-based estimation for geometric quantiles with application to outlier detection

2010

Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses the geometry of multivariate data clouds. A very important application of geometric quantiles is the detection of outliers in multivariate data by means of quantile contours. A design-based estimator of geometric quantiles is constructed and used to compute quantile contours in order to detect outliers in both multivariate data and survey sampling set-ups. An algorithm for computing geometric quantile estimates is also developed. Under broad assumptions, the asymptotic variance of the quantile estimator is derived an…

Statistics and ProbabilityStatistics::TheoryTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESStatistics::ApplicationsComputingMethodologies_SIMULATIONANDMODELINGApplied MathematicsMathematicsofComputing_NUMERICALANALYSISUnivariateInformationSystems_DATABASEMANAGEMENTEstimatorStatistics::ComputationQuantile regressionHorvitz–Thompson estimatorComputational MathematicsDelta methodComputational Theory and MathematicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYOutlierConsistent estimatorStatisticsStatistics::MethodologyMathematicsQuantileComputational Statistics & Data Analysis
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A new method for linear affine self-calibration of stationary zooming stereo cameras

2012

This paper presents a simple, yet effective, method to recover the affine structure of a scene from a (stereo) pair of stationary zooming cameras. The proposed method solely relies on point correspondences across images and no knowledge about the scene whatsoever is required. Our method exploits implicit properties of the projective camera matrices of zooming cameras and allows to estimate the affine structure of a scene by solving a linear system of equations. The 3D reconstruction results obtained by using our method, on both real and simulated data, have remarkably validated its feasibility.

Stereo camerasbusiness.industry3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionAffine shape adaptationComputer Science::GraphicsComputer Science::Computer Vision and Pattern RecognitionLinear algebraComputer visionAffine transformationArtificial intelligenceZoombusinessStereo cameraComputingMethodologies_COMPUTERGRAPHICSMathematics2012 19th IEEE International Conference on Image Processing
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3-D shape reconstruction in an active stereo vision system using genetic algorithms

2003

Abstract The recovery of 3-D shape information (depth) using stereo vision analysis is one of the major areas in computer vision and has given rise to a great deal of literature in the recent past. The widely known stereo vision methods are the passive stereo vision approaches that use two cameras. Obtaining 3-D information involves the identification of the corresponding 2-D points between left and right images. Most existing methods tackle this matching task from singular points, i.e. finding points in both image planes with more or less the same neighborhood characteristics. One key problem we have to solve is that we are on the first instance unable to know a priori whether a point in t…

Stereo camerasbusiness.industryComputer scienceMachine visionEpipolar geometry3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlaw.inventionStereopsisProjectorArtificial IntelligencelawSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceFundamental matrix (computer vision)businessSoftwareComputer stereo visionStereo cameraPattern Recognition
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Structure from motion using a hybrid stereo-vision system

2015

International audience; This paper is dedicated to robotic navigation using an original hybrid-vision setup combining the advantages offered by two different types of camera. This couple of cameras is composed of one perspective camera associated with one fisheye camera. This kind of configuration , is also known under the name of foveated vision system since it is inspired by the human vision system and allows both a wide field of view and a detail front view of the scene. Here, we propose a generic and robust approach for SFM, which is compatible with a very broad spectrum of multi-camera vision systems, suitable for perspective and om-nidirectional cameras, with or without overlapping fi…

Stereo camerasbusiness.industryComputer scienceMachine vision[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONField of viewStereopsisComputer graphics (images)Structure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionSmart cameraArtificial intelligencebusinessComputer stereo visionStereo camera
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Higher order matrix differential equations with singular coefficient matrices

2015

In this article, the class of higher order linear matrix differential equations with constant coefficient matrices and stochastic process terms is studied. The coefficient of the highest order is considered to be singular; thus, rendering the response determination of such systems in a straightforward manner a difficult task. In this regard, the notion of the generalized inverse of a singular matrix is used for determining response statistics. Further, an application relevant to engineering dynamics problems is included.

Stochastic partial differential equationMatrix (mathematics)Constant coefficientsSingular solutionComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONMathematical analysisMathematicsofComputing_NUMERICALANALYSISMatrix analysisCoefficient matrixDifferential algebraic equationMatrix multiplicationMathematicsAIP Conference Proceedings
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A tool for a first analysis of architectural façades

1997

Abstract This work presents a tool for analysing the figurative structure of architectural facades. The procedure begins by singling out the elementary shapes which make up the facade image; it detects and identifies them as “area objects”, even if present in combination in virtual or mental form and groups them into classes of equal objects. A second step is the analysis of the inner structure of the classes: equidistant, arithmetical and geometrical sequences, or alternate distances are distinguished. The procedure ends by singling out the symmetries which structure the facade image and displaying them, pointing out their implied hierarchy through a thickness differentiation.

Structure (mathematical logic)Engineering drawingEngineeringHierarchy (mathematics)business.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONBuilding and ConstructionImage (mathematics)Facade patternControl and Systems EngineeringHomogeneous spaceArithmetic functionEquidistantFacadebusinessCivil and Structural EngineeringAutomation in Construction
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Do graphical overviews facilitate or hinder comprehension in hypertext?

2009

Educational hypertexts usually include graphical overviews, conveying the structure of the text schematically with the aim of fostering comprehension. Despite the claims about their relevance, there is currently no consensus on the impact that hypertext overviews have on the reader's comprehension. In the present paper we have explored how hypertext overviews might affect comprehension with regard to (a) the time at which students read the overview and (b) the hypertext difficulty. The results from two eye-tracking studies revealed that reading a graphical overview at the beginning of the hypertext is related to an improvement in the participant's comprehension of quite difficult hypertexts…

Structure (mathematical logic)General Computer ScienceInstructional designComputer sciencemedia_common.quotation_subjectEducational technologyHypermediaEducationlaw.inventionWorld Wide WebComprehensionlawReading (process)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGRelevance (information retrieval)Hypertextmedia_commonComputers & Education
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Preventing Overlaps in Agglomerative Hierarchical Conceptual Clustering

2020

Hierarchical Clustering is an unsupervised learning task, whi-ch seeks to build a set of clusters ordered by the inclusion relation. It is usually assumed that the result is a tree-like structure with no overlapping clusters, i.e., where clusters are either disjoint or nested. In Hierarchical Conceptual Clustering (HCC), each cluster is provided with a conceptual description which belongs to a predefined set called the pattern language. Depending on the application domain, the elements in the pattern language can be of different nature: logical formulas, graphs, tests on the attributes, etc. In this paper, we tackle the issue of overlapping concepts in the agglomerative approach of HCC. We …

Structure (mathematical logic)Theoretical computer scienceComputer scienceConceptual clustering02 engineering and technologyDisjoint setsHierarchical clusteringSet (abstract data type)Pattern language (formal languages)ComputingMethodologies_PATTERNRECOGNITIONApplication domain020204 information systems0202 electrical engineering electronic engineering information engineeringUnsupervised learning020201 artificial intelligence & image processing
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