Search results for "Invariant"

showing 10 items of 783 documents

A cubic defining algebra for the Links-Gould polynomial

2012

We define a finite-dimensional cubic quotient of the group algebra of the braid group, endowed with a (essentially unique) Markov trace which affords the Links-Grould invariant of knots and links. We investigate several of its properties, and state several conjectures about its structure.

[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT][MATH.MATH-QA] Mathematics [math]/Quantum Algebra [math.QA][ MATH.MATH-QA ] Mathematics [math]/Quantum Algebra [math.QA]Links-Gould polynomialGeometric Topology (math.GT)braid groupMathematics::Geometric TopologyMarkov traceMathematics - Geometric Topology57M27[MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]Mathematics - Quantum AlgebraFOS: Mathematics[MATH.MATH-QA]Mathematics [math]/Quantum Algebra [math.QA]quantum invariantsQuantum Algebra (math.QA)knots and links[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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A new invariant-based method for building biomechanical behavior laws - Application to an anisotropic hyperelastic material with two fiber families

2013

Abstract In this article, we present a general constructive and original approach that allows us to calculate the invariants associated with an anisotropic hyperelastic material made of two families of collagen fibers. This approach is based on mathematical techniques from the theory of invariants: • Definition of the material symmetry group. • Analytical calculation of a set of generators using the Noether’s theorem. • Analytical calculation of an integrity basis. • Comparison between the proposed invariants and the classical ones.

[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyTheory of invariantsConstructiveAnisotropic hyperelastic material[SPI.MAT]Engineering Sciences [physics]/Materialssymbols.namesake0203 mechanical engineeringMaterials Science(all)Modelling and SimulationGeneral Materials ScienceBiomechanicsInvariant (mathematics)AnisotropyMaterial symmetryMathematicsMechanical EngineeringApplied MathematicsMathematical analysis021001 nanoscience & nanotechnologyCondensed Matter Physics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationHyperelastic materialsymbolsNoether's theorem0210 nano-technology
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On the projective geometry of entanglement and contextuality

2019

[MATH.MATH-AG] Mathematics [math]/Algebraic Geometry [math.AG]Invariant theory[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Information quantiqueAlgebraic geometry[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Théorie des invariants[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph][MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Géométrie discrète et combinatoireGéométrie algébriqueQuantum Information[MATH.MATH-AG]Mathematics [math]/Algebraic Geometry [math.AG][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Finite geometry[PHYS.QPHY] Physics [physics]/Quantum Physics [quant-ph]
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Statistical consequences of the Devroye inequality for processes. Applications to a class of non-uniformly hyperbolic dynamical systems

2005

In this paper, we apply Devroye inequality to study various statistical estimators and fluctuations of observables for processes. Most of these observables are suggested by dynamical systems. These applications concern the co-variance function, the integrated periodogram, the correlation dimension, the kernel density estimator, the speed of convergence of empirical measure, the shadowing property and the almost-sure central limit theorem. We proved in \cite{CCS} that Devroye inequality holds for a class of non-uniformly hyperbolic dynamical systems introduced in \cite{young}. In the second appendix we prove that, if the decay of correlations holds with a common rate for all pairs of functio…

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]Pure mathematicsDynamical systems theoryFunction space[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]General Physics and AstronomyDynamical Systems (math.DS)01 natural sciences010104 statistics & probabilityFOS: MathematicsMathematics - Dynamical Systems0101 mathematicsMathematical PhysicsCentral limit theoremMathematicsApplied MathematicsProbability (math.PR)010102 general mathematicsEstimatorStatistical and Nonlinear PhysicsFunction (mathematics)Absolute continuity[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Besov spaceInvariant measure[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilityNonlinearity
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Variations contemporaines autour des invariants anthropologiques : L'inceste, la production de l'enfant et le sacré

2012

[SHS.ANTHRO-SE] Humanities and Social Sciences/Social Anthropology and ethnology[ SHS.ANTHRO-SE ] Humanities and Social Sciences/Social Anthropology and ethnologysacréproduction de l'enfant[ SHS.HIST ] Humanities and Social Sciences/History[SHS.HIST] Humanities and Social Sciences/Historyinvariants anthropologiquesvariations contemporaines[SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology[SHS.HIST]Humanities and Social Sciences/Historyinceste
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Measurement of light-by-light scattering and search for axion-like particles with 2.2 nb−1 of Pb+Pb data with the ATLAS detector

2021

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRT, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Mor…

axion: mass: lower limit:Kjerne- og elementærpartikkelfysikk: 431 [VDP]heavy ion: scatteringmeasured [channel cross section]transverse energy [photon]QC770-798transverse momentum dependence01 natural scienceschannel cross section: upper limitmass: lower limit [axion]High Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)Hadron-Hadron scattering (experiments)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Invariant massNuclear Experiment (nucl-ex)Nuclear ExperimentNuclear ExperimentQCPhysicsphoton: transverse energySettore FIS/01Large Hadron ColliderLuminosity (scattering theory)upper limit [channel cross section]ATLASangular dependence:Nuclear and elementary particle physics: 431 [VDP]CERN LHC CollPseudorapidityaxion-like particlesProduction (computer science)channel cross section: measuredParticle Physics - ExperimentParticle physicsNuclear and High Energy Physics530 PhysicsFOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]transverse momentumplanarityRelativistic heavy ionsAcoplanarity530differential cross section: measuredscattering [heavy ion]measured [differential cross section]Nuclear and particle physics. Atomic energy. Radioactivity0103 physical sciencesddc:530Nuclear Physics - Experimentlcsh:Nuclear and particle physics. Atomic energy. Radioactivity5020 GeV-cms/nucleonHigh Energy PhysicsLHC Particle Physics Lead-lead collisions010306 general physicsCiencias Exactastwo-photon [mass spectrum]leadrapidity [photon]Scattering010308 nuclear & particles physicsphoton photon: scatteringFísicaphoton: rapidityExperimental High Energy PhysicsS029AXPscattering [photon photon]lcsh:QC770-798Energy (signal processing)mass spectrum: two-photonexperimental resultsThe Journal of High Energy Physics
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Image difference detection under varying illumination based on vector space and correlations

2012

Abstract We propose two methods to detect differences in images independently of local changes of intensity. The methods are based on calculating geometrical operators when images are considered as vectors. Operators can be expressed in terms of correlations for the possibility of optical implementations. The methods are invariant to changes of the form af ( x , y ) +  b , where a and b are arbitrary unknown parameters that may vary over the image f ( x , y ). Computer simulations show that the method works well when the illumination model is satisfied. Results from real images taken with a web camera show the robustness of the method.

business.industry02 engineering and technologyReal image01 natural sciencesAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials010309 opticsOpticsRobustness (computer science)0103 physical sciencesOptical correlator0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingElectrical and Electronic EngineeringInvariant (mathematics)businessAlgorithmMathematicsVector spaceOptik
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Robust auto calibration technique for stereo camera

2017

Calibration of the internal and external parameters of a stereo vision camera is a well-known research problem in the computer vision. Usually, to get accurate 3D results the camera should be manually calibrate accurately as well. This paper proposes a robust approach to Auto Calibration stereo camera Without intervention of the user. There are several methods and techniques of calibration that have been proven, in this work we exploiting the geometric constraint, namely, the epipolar geometry. We specifically focuses to use 7 techniques for Features Extraction (SURF, BRISK, FAST, FREAK, MinEigen, MSERF, SIFT), however tries to establish the correspondences between points extracted in stere…

business.industryComputer scienceEpipolar geometryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformRANSACStereopsisRobustness (computer science)Computer visionArtificial intelligenceFundamental matrix (computer vision)businessStereo camera2017 International Conference on Engineering & MIS (ICEMIS)
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Modified LACIF filtering in background disjoint noise

2011

Abstract This work deals with pattern recognition methods based on correlations for images in the presence of noise. We propose a modification of the nonlinear Locally Adaptive Contrast Invariant Filter (LACIF) that yields correlation peaks that are invariant to linear intensity changes of the target but that has some limitations in the presence low variance nonoverlapping background noise. The modification of the filter implies a normalization by a global variance of several distributions. The estimation of the variance distributions is done locally by means of correlations. Experimental results as well as comparisons with the classical matched filter and the common LACIF are given.

business.industryMatched filterNormalization (image processing)Filter (signal processing)Disjoint setsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBackground noiseNonlinear systemOpticsElectrical and Electronic EngineeringPhysical and Theoretical ChemistryInvariant (mathematics)businessAlgorithmChange detectionMathematicsOptics Communications
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Intensity invariant nonlinear correlation filtering in spatially disjoint noise.

2010

We analyze the performance of a nonlinear correlation called the Locally Adaptive Contrast Invariant Filter in the presence of spatially disjoint noise under the peak-to-sidelobe ratio (PSR) metric. We show that the PSR using the nonlinear correlation improves as the disjoint noise intensity increases, whereas, for common linear filtering, it goes to zero. Experimental results as well as comparisons with a classical matched filter are given.

business.industryMaterials Science (miscellaneous)Matched filterMathematical analysisNonlinear correlationFilter (signal processing)Disjoint setsIndustrial and Manufacturing EngineeringOpticsDigital image processingMedian filterBusiness and International ManagementInvariant (mathematics)businessLinear filterMathematicsApplied optics
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