Search results for " graph"

showing 10 items of 1277 documents

Time and space efficient quantum algorithms for detecting cycles and testing bipartiteness

2016

We study space and time efficient quantum algorithms for two graph problems -- deciding whether an $n$-vertex graph is a forest, and whether it is bipartite. Via a reduction to the s-t connectivity problem, we describe quantum algorithms for deciding both properties in $\tilde{O}(n^{3/2})$ time and using $O(\log n)$ classical and quantum bits of storage in the adjacency matrix model. We then present quantum algorithms for deciding the two properties in the adjacency array model, which run in time $\tilde{O}(n\sqrt{d_m})$ and also require $O(\log n)$ space, where $d_m$ is the maximum degree of any vertex in the input graph.

FOS: Computer and information sciencesVertex (graph theory)Quantum PhysicsNuclear and High Energy PhysicsReduction (recursion theory)Two-graphFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsTheoretical Computer ScienceCombinatoricsComputational Theory and MathematicsComputer Science - Data Structures and AlgorithmsBipartite graphGraph (abstract data type)Adjacency listData Structures and Algorithms (cs.DS)Quantum algorithmAdjacency matrixQuantum Physics (quant-ph)Mathematical PhysicsMathematicsofComputing_DISCRETEMATHEMATICSMathematicsQuantum Information and Computation
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Measuring Semantic Coherence of a Conversation

2018

Conversational systems have become increasingly popular as a way for humans to interact with computers. To be able to provide intelligent responses, conversational systems must correctly model the structure and semantics of a conversation. We introduce the task of measuring semantic (in)coherence in a conversation with respect to background knowledge, which relies on the identification of semantic relations between concepts introduced during a conversation. We propose and evaluate graph-based and machine learning-based approaches for measuring semantic coherence using knowledge graphs, their vector space embeddings and word embedding models, as sources of background knowledge. We demonstrat…

FOS: Computer and information sciencesWord embeddingComputer scienceComputer Science - Artificial Intelligencemedia_common.quotation_subjectihmisen ja tietokoneen vuorovaikutus02 engineering and technologycomputer.software_genrekeskustelu020204 information systems0202 electrical engineering electronic engineering information engineeringConversationconversational systemsmedia_commonComputer Science - Computation and Languagebusiness.industrykoneoppiminenArtificial Intelligence (cs.AI)Knowledge graphsemantiikkaGraph (abstract data type)020201 artificial intelligence & image processingArtificial intelligencebusinesssemantic coherencecomputerComputation and Language (cs.CL)Natural language processing
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Statistical Performance Analysis of a Fast Super-Resolution Technique Using Noisy Translations.

2014

It is well known that the registration process is a key step for super-resolution reconstruction. In this work, we propose to use a piezoelectric system that is easily adaptable on all microscopes and telescopes for controlling accurately their motion (down to nanometers) and therefore acquiring multiple images of the same scene at different controlled positions. Then a fast super-resolution algorithm \cite{eh01} can be used for efficient super-resolution reconstruction. In this case, the optimal use of $r^2$ images for a resolution enhancement factor $r$ is generally not enough to obtain satisfying results due to the random inaccuracy of the positioning system. Thus we propose to take seve…

FOS: Computer and information sciences[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingPositioning systemComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONsuper-resolution02 engineering and technologyIterative reconstructionMethodology (stat.ME)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPosition (vector)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionImage resolutionStatistics - Methodologyerror analysis[STAT.AP]Statistics [stat]/Applications [stat.AP]business.industryreconstruction algorithms[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Process (computing)high-resolution imaging020206 networking & telecommunicationsFunction (mathematics)Computer Graphics and Computer-Aided DesignSuperresolutionperformance evaluation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]microscopy020201 artificial intelligence & image processingAlgorithm designArtificial intelligencebusinessSoftwareIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Completely independent spanning trees in some regular graphs

2014

International audience; Let k >= 2 be an integer and T-1,..., T-k be spanning trees of a graph G. If for any pair of vertices {u, v} of V(G), the paths between u and v in every T-i, 1 <= i <= k, do not contain common edges and common vertices, except the vertices u and v, then T1,... Tk are completely independent spanning trees in G. For 2k-regular graphs which are 2k-connected, such as the Cartesian product of a complete graph of order 2k-1 and a cycle, and some Cartesian products of three cycles (for k = 3), the maximum number of completely independent spanning trees contained in these graphs is determined and it turns out that this maximum is not always k. (C) 2016 Elsevier B.V. All righ…

FOS: Computer and information sciences[ MATH ] Mathematics [math]Discrete Mathematics (cs.DM)Small Depths0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesCombinatoricssymbols.namesakeCompletely independent spanning treeFOS: Mathematics0202 electrical engineering electronic engineering information engineeringCartesian productDiscrete Mathematics and CombinatoricsMathematics - Combinatorics[MATH]Mathematics [math]MathematicsConstructionSpanning treeSpanning treeApplied MathematicsComplete graph020206 networking & telecommunications[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Cartesian productIndependent spanning treesGraphPlanar graphPlanar Graphs010201 computation theory & mathematicssymbolsCompletely independent spanning tree.Combinatorics (math.CO)Computer Science - Discrete Mathematics
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The Max-Product Algorithm Viewed as Linear Data-Fusion: A Distributed Detection Scenario

2019

In this paper, we disclose the statistical behavior of the max-product algorithm configured to solve a maximum a posteriori (MAP) estimation problem in a network of distributed agents. Specifically, we first build a distributed hypothesis test conducted by a max-product iteration over a binary-valued pairwise Markov random field and show that the decision variables obtained are linear combinations of the local log-likelihood ratios observed in the network. Then, we use these linear combinations to formulate the system performance in terms of the false-alarm and detection probabilities. Our findings indicate that, in the hypothesis test concerned, the optimal performance of the max-product a…

FOS: Computer and information sciencesfactor graphsComputer scienceComputer Science - Information TheoryMarkovin ketjut02 engineering and technologyMarkov random fieldsalgoritmit0202 electrical engineering electronic engineering information engineeringMaximum a posteriori estimationmax-product algorithmElectrical and Electronic EngineeringLinear combinationStatistical hypothesis testingdistributed systemsMarkov random fieldspectrum sensingApplied MathematicsNode (networking)Information Theory (cs.IT)linear data-fusionApproximation algorithm020206 networking & telecommunicationsComputer Science Applicationssum-product algorithmPairwise comparisonRandom variableAlgorithmstatistical inference
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Visual Parameter Selection for Spatial Blind Source Separation.

2022

Analysis of spatial multivariate data, i.e., measurements at irregularly-spaced locations, is a challenging topic in visualization and statistics alike. Such data are inteGral to many domains, e.g., indicators of valuable minerals are measured for mine prospecting. Popular analysis methods, like PCA, often by design do not account for the spatial nature of the data. Thus they, together with their spatial variants, must be employed very carefully. Clearly, it is preferable to use methods that were specifically designed for such data, like spatial blind source separation (SBSS). However, SBSS requires two tuning parameters, which are themselves complex spatial objects. Setting these parameter…

FOS: Computer and information sciencesgeographic visualizationvisualisointiComputer Science - Human-Computer Interactionhuman-centered computingvisualisointitekniikatmuuttujatanalyysimenetelmätgeostatistiikkaComputer Graphics and Computer-Aided Designvisualization techniqueskompleksisuusHuman-Computer Interaction (cs.HC)datamaantieteellinen visualisointiComputer graphics forum : journal of the European Association for Computer Graphics
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A First Experiment on Including Text Literals in KGloVe

2018

Graph embedding models produce embedding vectors for entities and relations in Knowledge Graphs, often without taking literal properties into account. We show an initial idea based on the combination of global graph structure with additional information provided by textual information in properties. Our initial experiment shows that this approach might be useful, but does not clearly outperform earlier approaches when evaluated on machine learning tasks.

FOS: Computer and information sciencesgraph embeddingsComputer Science - Computation and LanguageArtificial Intelligence (cs.AI)koneoppiminenknowledge graphComputer Science - Artificial IntelligencetekstinlouhintaattributestiedonlouhintaComputation and Language (cs.CL)
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Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

2021

Common reporting styles for statistical results in scientific articles, such as $p$ p -values and confidence intervals (CI), have been reported to be prone to dichotomous interpretations, especially with respect to the null hypothesis significance testing framework. For example when the $p$ p -value is small enough or the CIs of the mean effects of a studied drug and a placebo are not overlapping, scientists tend to claim significant differences while often disregarding the magnitudes and absolute differences in the effect sizes. This type of reasoning has been shown to be potentially harmful to science. Techniques relying on the visual estimation of the strength of evidence have been recom…

FOS: Computer and information sciencesvisualisointiBayesian inferencetilastomenetelmätComputer Science - Human-Computer Interactiontulkinta02 engineering and technologyBayesian inferenceluottamustasotHuman-Computer Interaction (cs.HC)cliff effectData visualizationhypothesis testing0202 electrical engineering electronic engineering information engineeringStatistical inferencevisualizationconfidence intervalsStatistical hypothesis testingpäättelybusiness.industrybayesilainen menetelmäOther Statistics (stat.OT)Multilevel model020207 software engineeringtilastografiikkaComputer Graphics and Computer-Aided DesignConfidence intervalStatistics - Other StatisticsSignal ProcessingComputer Vision and Pattern RecognitionbusinessPsychologyNull hypothesisValue (mathematics)SoftwareCognitive psychologystatistical inference
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Laplacian versus Adjacency Matrix in Quantum Walk Search

2015

A quantum particle evolving by Schr\"odinger's equation contains, from the kinetic energy of the particle, a term in its Hamiltonian proportional to Laplace's operator. In discrete space, this is replaced by the discrete or graph Laplacian, which gives rise to a continuous-time quantum walk. Besides this natural definition, some quantum walk algorithms instead use the adjacency matrix to effect the walk. While this is equivalent to the Laplacian for regular graphs, it is different for non-regular graphs, and is thus an inequivalent quantum walk. We algorithmically explore this distinction by analyzing search on the complete bipartite graph with multiple marked vertices, using both the Lapla…

FOS: Physical sciences01 natural sciencesComplete bipartite graph010305 fluids & plasmasTheoretical Computer Sciencesymbols.namesake0103 physical sciencesQuantum walkAdjacency matrixElectrical and Electronic Engineering010306 general physicsMathematicsQuantum computerDiscrete mathematicsQuantum PhysicsDiscrete spaceStatistical and Nonlinear PhysicsMathematics::Spectral TheoryElectronic Optical and Magnetic MaterialsModeling and SimulationSignal ProcessingsymbolsLaplacian matrixQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)Laplace operator
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Estimation des performances, test et contrôle des systèmes cyber-physiques employant des réseaux de communication non idéaux

2020

Wireless technology is a key enabler of the promises of Industry 4.0 (Smart Manufacturing). As such, wireless technology will be adopted as a principal mode of communication within the factory beginning with the factory enterprise and eventually being adopted for use within the factory workcell. Factory workcell communication has particular requirements on latency, reliability, scale, and security that must first be met by the wireless communication technology used. Wireless is considered a non-ideal form of communication in that when compared to its wired counterparts, it is considered less reliable (lossy) and less secure. These possible impairments lead to delay and loss of data in indus…

Fabrication intelligenteIndustrial wireless testbed[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingSmart manufacturingApprentissage automatiqueSystems modelingGraph databaseBase de données graphe[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMachine learningIndustrial wirelessModelisation systémeCommunications sans fil industrielBanc d'essai sans fil industriel
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