Search results for "complexi"

showing 10 items of 1116 documents

Video preprocessing for audiovisual indexing

2003

We address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important and reusable information that can be used for other news programs. In a previous paper, we presented a technique based on a priori knowledge of the editing techniques used in news sequences which allowed a fast search of news stories (see Albiol, A. et al., 3rd Int. Conf. on Audio and Video-based Biometric Person Authentication, p.366-71, 2001). We now present a new shot descriptor technique which improves the previous search results by using a simple, yet efficient, algorithm, based on the information contained in consecutive fra…

AuthenticationSequenceInformation retrievalContextual image classificationBiometricsComputer scienceSpeech recognitionSearch engine indexingcomputer.software_genreObject detectionReduction (complexity)Face (geometry)PreprocessorAudio signal processingcomputerImage retrievalIEEE International Conference on Acoustics Speech and Signal Processing
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A NEW COMPLEXITY FUNCTION FOR WORDS BASED ON PERIODICITY

2013

Motivated by the extension of the critical factorization theorem to infinite words, we study the (local) periodicity function, i.e. the function that, for any position in a word, gives the size of the shortest square centered in that position. We prove that this function characterizes any binary word up to exchange of letters. We then introduce a new complexity function for words (the periodicity complexity) that, for any position in the word, gives the average value of the periodicity function up to that position. The new complexity function is independent from the other commonly used complexity measures as, for instance, the factor complexity. Indeed, whereas any infinite word with bound…

Average-case complexityDiscrete mathematicsFibonacci numberSettore INF/01 - InformaticaGeneral Mathematicscomplexity functionComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Function (mathematics)periodicitycritical factorization theoremCombinatoricsComplexity indexCombinatorics on wordsBounded functionComplexity functionComputer Science::Formal Languages and Automata TheoryWord (computer architecture)Combinatorics on wordMathematicsInternational Journal of Algebra and Computation
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Learning-Graph-Based Quantum Algorithm for k-distinctness

2012

We present a quantum algorithm solving the $k$-distinctness problem in $O(n^{1-2^{k-2}/(2^k-1)})$ queries with a bounded error. This improves the previous $O(n^{k/(k+1)})$-query algorithm by Ambainis. The construction uses a modified learning graph approach. Compared to the recent paper by Belovs and Lee arXiv:1108.3022, the algorithm doesn't require any prior information on the input, and the complexity analysis is much simpler. Additionally, we introduce an $O(\sqrt{n}\alpha^{1/6})$ algorithm for the graph collision problem where $\alpha$ is the independence number of the graph.

Average-case complexityQuantum PhysicsTheoretical computer scienceComputational complexity theoryWorst-case complexityGraph (abstract data type)FOS: Physical sciencesQuantum algorithmSimon's problemQuantum Physics (quant-ph)Time complexityMathematicsQuantum complexity theory
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Angular analysis of charged and neutral B → Kμ + μ − decays

2014

The angular distributions of the rare decays B → K+µ+µ- and B0 → K0 <inf>a</inf>Sμ+μ- are studied with data corresponding to 3 fb-1 of integrated luminosity, collected in proton-proton collisions at 7 and 8TeV centre-of-mass energies with the LHCb detector. The angular distribution is described by two parameters, FH and the forward-backward asymmetry of the dimuon system AFB, which are determined in bins of the dimuon mass squared. The parameter F<inf>H</inf> is a measure of the contribution from (pseudo)scalar and tensor amplitudes to the decay width. The measurements of A<inf>FB</inf> and F<inf>H</inf> reported here are the most precise to d…

B physic12.15.MmB physicsSettore FIS/04 - Fisica Nucleare e SubnucleareLuminosityNeutral currentFlavor physicsMathematics::ProbabilityNuclear Experimentmedia_commonPhysicsB physics; Flavor physics; Flavour changing neutral currents; Hadron-hadron scattering; Rare decayPhysicsPHYSICS PARTICLES & FIELDSParticle physicsAmplitudePhysical SciencesFísica nuclearLHCNuclear and High Energy PhysicsParticle physicsmedia_common.quotation_subject14.40.NdScalar (mathematics)Flavour Changing Neutral CurrentsMathematics::Analysis of PDEsLHCb - Abteilung HofmannHadronsMeasure (mathematics)AsymmetryMathematics::Numerical AnalysisStandard ModelAngular distributionTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYLeptonic semileptonic and radiative decays of bottom mesonSDG 7 - Affordable and Clean EnergyTensorLarge Hadron Collider (France and Switzerland)Science & Technology/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyHadron-Hadron ScatteringGran Col·lisionador d'HadronsFlavour changing neutral currentLHCbRare decay13.20.HeFlavor physicBottom mesons (|B|>0)High Energy Physics::ExperimentFísica de partículesExperiments
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Measurement of CP asymmetry in Bs0 → Ds ∓K± decays

2014

Journal of high energy physics 2018(3), 59 (2018). doi:10.1007/JHEP03(2018)059

B physicCKM angle gamma01 natural sciencesB physicsLuminosityFlavor physicsHadron-Hadron scattering (experiments)TOOLLHCb - Abteilung HintonQCmedia_commonPhysicsParticle physicsCharge conjugation parity time reversal and other discrete symmetrie12.15.HhB physics; CKM angle gamma; CP violation; Flavor physics; Hadron-Hadron ScatteringJustice and Strong InstitutionsCP violationB physics; CKM angle gamma; CP violation; Flavor physics; Hadron-Hadron Scattering; Nuclear and High Energy PhysicsFísica nuclearLHCAstrophysics::Earth and Planetary AstrophysicsParticle physicsNuclear and High Energy PhysicsVIOLATIONSDG 16 - PeaceVIOLATION; GAMMA; TOOLAstrophysics::High Energy Astrophysical Phenomenamedia_common.quotation_subject14.40.NdLHCb - Abteilung HofmannAstrophysics::Cosmology and Extragalactic AstrophysicsHadrons530Determination of Cabibbo-Kobayashi & Maskawa (CKM) matrix elementAsymmetryNOHadronic decays of bottom mesonTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical scienceslcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:530010306 general physicsLarge Hadron Collider (France and Switzerland)Astrophysics::Galaxy AstrophysicsHadron-Hadron Scattering010308 nuclear & particles physicsSDG 16 - Peace Justice and Strong InstitutionsGran Col·lisionador d'HadronsGAMMA/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsHEPLHCbFlavor physic13.25.HwB physics; CKM angle gamma; CP violation; Flavor physics; Hadron-Hadron scattering (experiments)lcsh:QC770-798Bottom mesons (|B|>0)11.30.ErHigh Energy Physics::ExperimentB physics CKM angle gamma CP violation Flavor physics Hadron-Hadron ScatteringFísica de partículesExperiments
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Observation of an Excited $B^{\pm}_c$ Meson State with the ATLAS Detector

2014

A search for excited states of the B±c meson is performed using 4.9 fb-1 of 7 TeV and 19.2 fb-1 of 8 TeV pp collision data collected by the ATLAS experiment at the LHC. A new state is observed through its hadronic transition to the ground state, with the latter detected in the decay B±c→J/ψπ±. The state appears in the m(Bc±π+π-)-m(Bc±)-2m(π±) mass difference distribution with a significance of 5.2 standard deviations. The mass of the observed state is 6842±4±5 MeV, where the first error is statistical and the second is systematic. The mass and decay of this state are consistent with expectations for the second S-wave state of the B±c meson, B±c(2S).

B-C meson; spectroscopy; equationEquationБольшой адронный коллайдер550Atlas detectorlarge hadron colliderGeneral Physics and Astronomyhadronic decay [excited state]7. Clean energy01 natural sciencesHigh Energy Physics - ExperimentSettore FIS/04 - Fisica Nucleare e SubnucleareSubatomär fysikHigh Energy Physics - Experiment (hep-ex)B/c* --> B/c+ pi+ pi-Subatomic Physicsexcited stateddc:550EQUATION[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]ATLAS Detector; Meson StateB mesonGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)SpectroscopyQCPhysics8000 GeV-cms [7000]Large Hadron ColliderSPECTROSCOPYATLAS experimentSettore FIS/01 - Fisica SperimentaleATLASB-C MESON:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]B/c* --> B/c+ pi+ pi-medicine.anatomical_structureCERN LHC CollExcited statePhysical Sciences7000: 8000 GeV-cmsLHCParticle Physics - ExperimentB-C MesonParticle physicsp p: scatteringMeson530 PhysicsCiências Naturais::Ciências FísicasAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesmass [excited state]столкновение частиц530hadronic decay [B/c+]Nuclear physicsPhysics and Astronomy (all)(J/psi(3100) pi+) [mass spectrum]B/c+ --> J/psi(3100) pi+Atlas (anatomy)TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical sciencesmedicineFysikHigh Energy Physics010306 general physicsB/c+ --> J/psi(3100) pi+Ciencias ExactasScience & TechnologyATLAS detector010308 nuclear & particles physicsHigh Energy Physics::Phenomenology:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]FísicaState (functional analysis)B/c+: hadronic decaymass differencemass spectrum: (J/psi(3100) pi+)B-C MESON; SPECTROSCOPY; EQUATIONB/c+excited state: massexcited state: hadronic decayExperimental High Energy PhysicsмезоныHigh Energy Physics::Experimentproton-proton collisionsATLAS детекторexperimental results
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Dynamic Gaussian Graphical Models for Modelling Genomic Networks

2014

After sequencing the entire DNA for various organisms, the challenge has become understanding the functional interrelatedness of the genome. Only by understanding the pathways for various complex diseases can we begin to make sense of any type of treatment. Unfortunately, decyphering the genomic network structure is an enormous task. Even with a small number of genes the number of possible networks is very large. This problem becomes even more difficult, when we consider dynamical networks. We consider the problem of estimating a sparse dynamic Gaussian graphical model with \(L_1\) penalized maximum likelihood of structured precision matrix. The structure can consist of specific time dynami…

Basis (linear algebra)Computational complexity theoryComputer scienceGaussianFatorial Gaussian graphical modelsPenalized graphical models; Fatorial Gaussian graphical modelsType (model theory)Constraint (information theory)Matrix (mathematics)symbols.namesakeConvex optimizationsymbolsGraphical modelPenalized graphical modelSettore SECS-S/01 - StatisticaAlgorithm
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Matching beer with food : pairing principles, underlying mechanisms and a focus on aromatic similarity

2018

Pairing between beer and dishes emerges as a new trend in France. Beer promoters or gastronomy professionals need to offer high-quality advices in terms of beer and food pairing to their customers. Within this context, the objective of the research was to identify pairing principles and to better understand the underlying perceptual mechanisms. Determinants of food and beverage pairing were first analysed from experts’ discourses. Results showed that food and beverage pairings are governed by perceptual, conceptual and affective features, related to physio-chemical, perceptual and cognitive processes. Experts often mentioned “Aromatic Similarity” as one of the main pairing principles. This …

Beer and food pairingPrincipes d'association[SHS.PSY]Humanities and Social Sciences/Psychologyaccord d'associationbièreSimilarité aromatiqueComplexité sensorielle[SHS.PSY] Humanities and Social Sciences/PsychologyPsychologie (Sciences cognitives)metFood and Nutritiontheseprincipe de coexistenceharmonisationPairing principlesAromatic similarityHarmoniebeer and food pairing;pairing principles;aromatic similarity;harmony;sensory complexity;likingAppréciationAssociation bière et metsaccord aromatiqueHarmonySensory complexitytrouble sensoriel[SCCO.PSYC]Cognitive science/PsychologyAlimentation et NutritionLiking[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Visual category representations in the infant brain

2021

SUMMARYVisual categorization is a human core cognitive capacity1,2that depends on the development of visual category representations in the infant brain3–7. However, the exact nature of infant visual category representations and their relationship to the corresponding adult form remains unknown8. Our results clarify the nature of visual category representations from electroencephalography (EEG) data in 6- to 8-month-old infants and their developmental trajectory towards adult maturity in the key characteristics of temporal dynamics2,9, representational format10–12, and spectral properties13,14. Temporal dynamics change from slowly emerging, developing representations in infants to quickly e…

Beta bandDevelopmental trajectoryCategorizationDynamics (music)High complexitySpectral propertiesPsychologyCognitive loadAdult formCognitive psychology
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Fast Algorithms for Pseudoarboricity

2015

The densest subgraph problem, which asks for a subgraph with the maximum edges-to-vertices ratio d∗, is solvable in polynomial time. We discuss algorithms for this problem and the computation of a graph orientation with the lowest maximum indegree, which is equal to ⌈d∗⌉. This value also equals the pseudoarboricity of the graph. We show that it can be computed in O(|E| √ log log d∗) time, and that better estimates can be given for graph classes where d∗ satisfies certain asymptotic bounds. These runtimes are achieved by accelerating a binary search with an approximation scheme, and a runtime analysis of Dinitz’s algorithm on flow networks where all arcs, except the source and sink arcs, hav…

Binary search algorithmComputation0102 computer and information sciences02 engineering and technologyOrientation (graph theory)01 natural sciencesFlow (mathematics)010201 computation theory & mathematicsLog-log plotTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingUnit (ring theory)AlgorithmTime complexityMathematicsofComputing_DISCRETEMATHEMATICSMathematics2016 Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments (ALENEX)
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