Search results for "CONST"

showing 10 items of 7706 documents

Abelian Powers and Repetitions in Sturmian Words

2016

Richomme, Saari and Zamboni (J. Lond. Math. Soc. 83: 79-95, 2011) proved that at every position of a Sturmian word starts an abelian power of exponent $k$ for every $k > 0$. We improve on this result by studying the maximum exponents of abelian powers and abelian repetitions (an abelian repetition is an analogue of a fractional power) in Sturmian words. We give a formula for computing the maximum exponent of an abelian power of abelian period $m$ starting at a given position in any Sturmian word of rotation angle $\alpha$. vAs an analogue of the critical exponent, we introduce the abelian critical exponent $A(s_\alpha)$ of a Sturmian word $s_\alpha$ of angle $\alpha$ as the quantity $A(s_\a…

FOS: Computer and information sciencesFibonacci numberGeneral Computer ScienceDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Computer Science - Formal Languages and Automata Theory0102 computer and information sciences01 natural sciencesTheoretical Computer ScienceCombinatoricsFOS: MathematicsMathematics - Combinatorics[INFO]Computer Science [cs]Number Theory (math.NT)0101 mathematicsAbelian groupContinued fractionFibonacci wordComputingMilieux_MISCELLANEOUSQuotientMathematicsMathematics - Number Theoryta111010102 general mathematicsComputer Science (all)Sturmian wordSturmian wordAbelian period; Abelian power; Critical exponent; Lagrange constant; Sturmian word; Theoretical Computer Science; Computer Science (all)Abelian periodLagrange constantCritical exponentAbelian power010201 computation theory & mathematicsBounded functionExponentCombinatorics (math.CO)Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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On Block Sensitivity and Fractional Block Sensitivity

2018

We investigate the relation between the block sensitivity bs(f) and fractional block sensitivity fbs(f) complexity measures of Boolean functions. While it is known that fbs(f) = O(bs(f)2), the best known separation achieves $${\rm{fbs}}\left( f \right) = \left( {{{\left( {3\sqrt 2 } \right)}^{ - 1}} + o\left( 1 \right)} \right){\rm{bs}}{\left( f \right)^{3/2}}$$ . We improve the constant factor and show a family of functions that give fbs(f) = (6−1/2 − o(1)) bs(f)3/2.

FOS: Computer and information sciencesGeneral Mathematics010102 general mathematicsBlock (permutation group theory)0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesConstant factorCombinatoricsComputer Science - Computational Complexity010201 computation theory & mathematicsSensitivity (control systems)0101 mathematicsAlgebra over a fieldMathematics
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ALGORITHMS FOR JUMBLED PATTERN MATCHING IN STRINGS

2011

The Parikh vector p(s) of a string s is defined as the vector of multiplicities of the characters. Parikh vector q occurs in s if s has a substring t with p(t)=q. We present two novel algorithms for searching for a query q in a text s. One solves the decision problem over a binary text in constant time, using a linear size index of the text. The second algorithm, for a general finite alphabet, finds all occurrences of a given Parikh vector q and has sub-linear expected time complexity; we present two variants, which both use a linear size index of the text.

FOS: Computer and information sciencesJ.3average case analysis.Binary numberaverage case analysispermuted stringpermuted stringsComputer Science - Data Structures and AlgorithmsComputer Science (miscellaneous)Parikh vectorData Structures and Algorithms (cs.DS)Pattern matchingTime complexityMathematicsString (computer science)Parikh vectorsstring algorithmDecision problemstring algorithmsSubstringParikh vectors; permuted strings; pattern matching; string algorithms; average case analysisF.2.2; J.3Index (publishing)pattern matchingF.2.2Constant (mathematics)AlgorithmComputer Science::Formal Languages and Automata Theory
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Validation of the Virtual Reality Neuroscience Questionnaire: Maximum Duration of Immersive Virtual Reality Sessions Without the Presence of Pertinen…

2019

Research suggests that the duration of a VR session modulates the presence and intensity of VRISE, but there are no suggestions regarding the appropriate maximum duration of VR sessions. The implementation of high-end VR HMDs in conjunction with ergonomic VR software seems to mitigate the presence of VRISE substantially. However, a brief tool does not currently exist to appraise and report both the quality of software features and VRISE intensity quantitatively. The VRNQ was developed to assess the quality of VR software in terms of user experience, game mechanics, in-game assistance, and VRISE. Forty participants aged between 28 and 43 years were recruited (18 gamers and 22 non-gamers) for…

FOS: Computer and information sciencesJ.4Computer Science - Human-Computer InteractionB.8neuropsychologyneuroscienceComputer Science - Computers and Society[SCCO]Cognitive scienceBehavioral Neuroscience0302 clinical medicineSoftwareUser experience designB.8; C.4; D.0; J.4Original Research05 social sciencesVirtual RealityNeuropsychologyVR sicknessMultimedia (cs.MM)Psychiatry and Mental healthNeuropsychology and Physiological Psychologymotion sicknessNeurology[SCCO.PSYC]Cognitive science/Psychologycybersicknessvirtual realityPsychologyC.4psychologyVirtual realityCognitive neuroscience050105 experimental psychologylcsh:RC321-571Human-Computer Interaction (cs.HC)03 medical and health sciencesComputers and Society (cs.CY)Immersion (virtual reality)0501 psychology and cognitive sciences[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryGame mechanicsbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceVRISEConstruct validityD.0businessNeuroscienceComputer Science - Multimedia030217 neurology & neurosurgeryFrontiers in Human Neuroscience
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Catalan words avoiding pairs of length three patterns

2021

Catalan words are particular growth-restricted words counted by the eponymous integer sequence. In this article we consider Catalan words avoiding a pair of patterns of length 3, pursuing the recent initiating work of the first and last authors and of S. Kirgizov where (among other things) the enumeration of Catalan words avoiding a patterns of length 3 is completed. More precisely, we explore systematically the structural properties of the sets of words under consideration and give enumerating results by means of recursive decomposition, constructive bijections or bivariate generating functions with respect to the length and descent number. Some of the obtained enumerating sequences are kn…

FOS: Computer and information sciencesMathematics::CombinatoricsDiscrete Mathematics (cs.DM)General Computer ScienceInteger sequenceBivariate analysisConstructivelanguage.human_languageTheoretical Computer ScienceCombinatorics[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]FOS: MathematicsEnumerationlanguageDiscrete Mathematics and CombinatoricsMathematics - CombinatoricsCatalanCombinatorics (math.CO)Recursive decompositionBijection injection and surjectionMathematicsDescent (mathematics)Computer Science - Discrete Mathematics
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Real-time computation of parameter fitting and image reconstruction using graphical processing units

2016

Abstract In recent years graphical processing units (GPUs) have become a powerful tool in scientific computing. Their potential to speed up highly parallel applications brings the power of high performance computing to a wider range of users. However, programming these devices and integrating their use in existing applications is still a challenging task. In this paper we examined the potential of GPUs for two different applications. The first application, created at Paul Scherrer Institut (PSI), is used for parameter fitting during data analysis of μ SR (muon spin rotation, relaxation and resonance) experiments. The second application, developed at ETH, is used for PET (Positron Emission T…

FOS: Computer and information sciencesMulti-core processorSpeedup010308 nuclear & particles physicsComputer scienceComputationFOS: Physical sciencesGeneral Physics and AstronomyIterative reconstructionComputational Physics (physics.comp-ph)Supercomputer01 natural sciences030218 nuclear medicine & medical imagingComputational science03 medical and health sciencesRange (mathematics)CUDA0302 clinical medicineComputer Science - Distributed Parallel and Cluster ComputingHardware and Architecture0103 physical sciencesSingle-coreDistributed Parallel and Cluster Computing (cs.DC)Physics - Computational PhysicsComputer Physics Communications
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Multispectral image denoising with optimized vector non-local mean filter

2016

Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it is essential to develop techniques to attenuate the impact of noise, while maintaining the integrity of relevant information in images. We propose in this work to extend the application of the Non-Local Means filter (NLM) to the vector case and apply it for denoising multispectral images. The objective is to benefit from the additional information brought by multispectral imaging systems. The NLM filter exploits the redundancy of information in an image to remove noise. A …

FOS: Computer and information sciencesMulti-spectral imaging systemsComputer Vision and Pattern Recognition (cs.CV)Optimization frameworkMultispectral imageComputer Science - Computer Vision and Pattern Recognition02 engineering and technologyWhite noisePixels[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringComputer visionUnbiased risk estimatorMultispectral imageMathematicsMultispectral imagesApplied MathematicsBilateral FilterNumerical Analysis (math.NA)Non-local meansAdditive White Gaussian noiseStein's unbiased risk estimatorIlluminationComputational Theory and MathematicsRestorationImage denoisingsymbols020201 artificial intelligence & image processingNon-local mean filtersComputer Vision and Pattern RecognitionStatistics Probability and UncertaintyGaussian noise (electronic)Non- local means filtersAlgorithmsNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFace Recognitionsymbols.namesakeNoise RemovalArtificial IntelligenceFOS: MathematicsParameter estimationMedian filterMathematics - Numerical AnalysisElectrical and Electronic EngineeringFusionPixelbusiness.industryVector non-local mean filter020206 networking & telecommunicationsPattern recognitionFilter (signal processing)Bandpass filters[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsStein's unbiased risk estimators (SURE)NoiseAdditive white Gaussian noiseComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingArtificial intelligenceReconstructionbusinessModel
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The rightmost equal-cost position problem.

2013

LZ77-based compression schemes compress the input text by replacing factors in the text with an encoded reference to a previous occurrence formed by the couple (length, offset). For a given factor, the smallest is the offset, the smallest is the resulting compression ratio. This is optimally achieved by using the rightmost occurrence of a factor in the previous text. Given a cost function, for instance the minimum number of bits used to represent an integer, we define the Rightmost Equal-Cost Position (REP) problem as the problem of finding one of the occurrences of a factor whose cost is equal to the cost of the rightmost one. We present the Multi-Layer Suffix Tree data structure that, for…

FOS: Computer and information sciencesOffset (computer science)Computer scienceSuffix treeComputer Science - Information Theorylaw.inventionCombinatoricslawLog-log plotComputer Science - Data Structures and AlgorithmsCompression schemetext compressiondictionary text compressionData Structures and Algorithms (cs.DS)LZ77 compressiondata compressionLossless compressionfull text indexSuffix Tree Data StructuresSettore INF/01 - InformaticaInformation Theory (cs.IT)Data structurePrefixCompression ratioCompression scheme; Constant time; Suffix Tree Data StructuresAlgorithmData compressionConstant time
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Whom to befriend to influence people

2020

Alice wants to join a new social network, and influence its members to adopt a new product or idea. Each person $v$ in the network has a certain threshold $t(v)$ for {\em activation}, i.e adoption of the product or idea. If $v$ has at least $t(v)$ activated neighbors, then $v$ will also become activated. If Alice wants to activate the entire social network, whom should she befriend? More generally, we study the problem of finding the minimum number of links that a set of external influencers should form to people in the network, in order to activate the entire social network. This {\em Minimum Links} Problem has applications in viral marketing and the study of epidemics. Its solution can be…

FOS: Computer and information sciencesPhysics - Physics and SocietyGeneral Computer ScienceFOS: Physical sciencesPhysics and Society (physics.soc-ph)0102 computer and information sciences02 engineering and technology01 natural sciencesSocial networksGraphTheoretical Computer ScienceCombinatoricsComputer Science - Data Structures and AlgorithmsGreedy algorithmFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Greedy algorithmTime complexityNP-completeMathematicsSocial and Information Networks (cs.SI)Social networkDiscrete mathematicsBinary treeDegree (graph theory)Computer Science (all)Order (ring theory)Computer Science - Social and Information NetworksJoin (topology)Influence maximizationGreedy algorithms010201 computation theory & mathematicsGraphs; Greedy algorithms; Influence maximization; NP-complete; Social networksProduct (mathematics)020201 artificial intelligence & image processingCombinatorics (math.CO)Constant (mathematics)GraphsTheoretical Computer Science
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Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

2016

This paper studies a combination of generative Markov random field (MRF) models and discriminatively trained deep convolutional neural networks (dCNNs) for synthesizing 2D images. The generative MRF acts on higher-levels of a dCNN feature pyramid, controling the image layout at an abstract level. We apply the method to both photographic and non-photo-realistic (artwork) synthesis tasks. The MRF regularizer prevents over-excitation artifacts and reduces implausible feature mixtures common to previous dCNN inversion approaches, permitting synthezing photographic content with increased visual plausibility. Unlike standard MRF-based texture synthesis, the combined system can both match and adap…

FOS: Computer and information sciencesRandom fieldMarkov random fieldArtificial neural networkMarkov chainComputer sciencebusiness.industryComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineeringPattern recognition02 engineering and technologyIterative reconstructionConvolutional neural networkComputingMethodologies_PATTERNRECOGNITION0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessGenerative grammarTexture synthesis2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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