Search results for "image processing"

showing 10 items of 3285 documents

On 1-Laplacian Elliptic Equations Modeling Magnetic Resonance Image Rician Denoising

2015

Modeling magnitude Magnetic Resonance Images (MRI) rician denoising in a Bayesian or generalized Tikhonov framework using Total Variation (TV) leads naturally to the consideration of nonlinear elliptic equations. These involve the so called $1$-Laplacian operator and special care is needed to properly formulate the problem. The rician statistics of the data are introduced through a singular equation with a reaction term defined in terms of modified first order Bessel functions. An existence theory is provided here together with other qualitative properties of the solutions. Remarkably, each positive global minimum of the associated functional is one of such solutions. Moreover, we directly …

Statistics and ProbabilityFOS: Computer and information sciencesComputer scienceNoise reductionComputer Vision and Pattern Recognition (cs.CV)Bayesian probabilityComputer Science - Computer Vision and Pattern Recognition02 engineering and technology01 natural sciencesTikhonov regularizationsymbols.namesakeMathematics - Analysis of PDEsOperator (computer programming)Rician fading0202 electrical engineering electronic engineering information engineeringFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsApplied Mathematics010102 general mathematicsNumerical Analysis (math.NA)Condensed Matter PhysicsNonlinear systemModeling and Simulationsymbols020201 artificial intelligence & image processingGeometry and TopologyComputer Vision and Pattern RecognitionLaplace operatorBessel functionAnalysis of PDEs (math.AP)
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Comparative Evaluation of Community Detection Algorithms: A Topological Approach

2012

International audience; Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications. Many works inspired by different paradigms are devoted to the development of algorithmic solutions allowing to reveal the network structure in such cohesive subgroups. Comparative studies reported in the literature usually rely on a performance measure considering the community structure as a partition (Rand Index, Normalized Mutual information, etc.). However, this type of comparison neglects the topological properties of the communities. In this article, we present a comprehensive comparative study of a representative set of commu…

Statistics and ProbabilityFOS: Computer and information sciencesPhysics - Physics and SocietyComputer science[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Rand indexFOS: Physical sciences02 engineering and technologyPhysics and Society (physics.soc-ph)Topology01 natural sciencesMeasure (mathematics)010305 fluids & plasmasSet (abstract data type)Development (topology)0103 physical sciences0202 electrical engineering electronic engineering information engineeringEquivalence (measure theory)Random graphSocial and Information Networks (cs.SI)Computer Science - Social and Information NetworksStatistical and Nonlinear PhysicsNetwork dynamicsPartition (database)[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]020201 artificial intelligence & image processingStatistics Probability and Uncertainty
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Identifying Causal Effects with the R Package causaleffect

2017

Do-calculus is concerned with estimating the interventional distribution of an action from the observed joint probability distribution of the variables in a given causal structure. All identifiable causal effects can be derived using the rules of do-calculus, but the rules themselves do not give any direct indication whether the effect in question is identifiable or not. Shpitser and Pearl constructed an algorithm for identifying joint interventional distributions in causal models, which contain unobserved variables and induce directed acyclic graphs. This algorithm can be seen as a repeated application of the rules of do-calculus and known properties of probabilities, and it ultimately eit…

Statistics and ProbabilityFOS: Computer and information sciencesTheoretical computer sciencecausalityDistribution (number theory)C-componentComputer sciencecausal model02 engineering and technologyCausal structureMethodology (stat.ME)03 medical and health sciences0302 clinical medicinedo-calculusJoint probability distribution0202 electrical engineering electronic engineering information engineering030212 general & internal medicineDAG; do-calculus; causality; causal model; identifiability; graph; C-component; hedge; d-separationlcsh:Statisticslcsh:HA1-4737Statistics - Methodologycomputer.programming_languageCausal modelta112DAGd-separationgraphhedgeidentifiabilityExpression (mathematics)PEARL (programming language)Action (philosophy)kausaliteetti020201 artificial intelligence & image processingStatistics Probability and UncertaintycomputerSoftware
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Statistics in Education

2015

During the last few decades, educational systems have attracted a great deal of interest because they are closely related to economic and social systems. For example, ‘higher education has been affected by a number of changes, including higher rates of participation, internationalization, the growing importance of knowledge-led economies and increased global completion’ (Bologna Process, 1999). There is a worldwide need to include in the educational language new words and concepts such as assessment, evaluation, accountability, student performance, mobility, competitiveness as part of a new governance system

Statistics and ProbabilityHigher educationbusiness.industry02 engineering and technology01 natural sciences010104 statistics & probabilitySocial systemeducation statistical models indicators0202 electrical engineering electronic engineering information engineeringMathematics education020201 artificial intelligence & image processingSettore SECS-S/05 - Statistica SocialeSociology0101 mathematicsStatistics Probability and UncertaintybusinessEducational systemsJournal of Applied Statistics
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Classification trees for multivariate ordinal response: an application to Student Evaluation Teaching

2016

Data from multiple items on an ordinal scale are commonly collected when qualitative variables, such as feelings, attitudes and many other behavioral and health-related variables are observed. In this paper we introduce a method to derive a distance-based tree for multivariate ordinal response that allows, when subject-specific characteristics are available, to derive common profiles for respondents giving the same/similar multivariate ratings. Special attention will be paid to the performance comparison in terms of AUC, for three different distances used as splitting criteria. Simulated data an a dataset from a Student Evaluation of Teaching survey will be used as illustrative examples. Th…

Statistics and ProbabilityOrdinal dataMultivariate statisticsComputer sciencebusiness.industryOrdinal ScaleDecision treeGeneral Social SciencesDecision tree Ordinal response Student Evaluation of Teaching Distances02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesOrdinal regression010104 statistics & probabilityStatistics0202 electrical engineering electronic engineering information engineeringProfiling (information science)020201 artificial intelligence & image processingTree (set theory)Artificial intelligence0101 mathematicsbusinesscomputerOrdinal response
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Microscopic theory for hopping transport in glass-forming liquids: mode coupling corrections

1999

Abstract By introducing an order parameter that describes the geometry of clusters of particles, Liu and Oppenheim [Physica A 247 (1997) 183] developed a microscopic theory for hopping transport in glass-forming liquids. In this work we bring this theory within the frame of mode coupling theories in the highly viscous regime. We calculate corrections to the effective longitudinal viscosity that affect its long-time dynamical behavior. Nevertheless, the relation between the longitudinal viscosity and the hopping kernel is not qualitatively altered by mode coupling.

Statistics and ProbabilityPhysicsViscosityWork (thermodynamics)Kernel (image processing)Condensed matter physicsMode couplingOrder (ring theory)Microscopic theoryCondensed Matter PhysicsGlass transitionGlass formingPhysica A: Statistical Mechanics and its Applications
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Is there a cost at encoding words with joined letters during visual word recognition?

2018

Abstract For simplicity, models of visual-word recognition have focused on printed words composed of separated letters, thus overlooking the processing of cursive words. Manso de Zuniga, Humphreys, and Evett (1991) claimed that there is an early “cursive normalization” encoding stage when processing written words with joined letters. To test this claim, we conducted a lexical decision experiment in which words were presented either with separated or joined letters. To examine if the cost of letter segmentation occurs early in processing, we also manipulated a factor (i.e., word-frequency) that is posited to affect subsequent lexical processing. Results showed faster response times for the w…

Statistics and ProbabilityVisual word recognitionbusiness.industryComputer science05 social sciencesNormalization (image processing)Experimental and Cognitive Psychologycomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicineArts and Humanities (miscellaneous)Developmental and Educational PsychologyLexical decision task0501 psychology and cognitive sciencesPsychology (miscellaneous)Artificial intelligencebusinesscomputerCursive030217 neurology & neurosurgeryNatural language processingProgrames d'ordinadorLlenguatge i llengüesPsicológica Journal
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Resuming Shapes with Applications

2004

Many image processing tasks need some kind of average of different shapes. Frequently, different shapes obtained from several images have to be summarized. If these shapes can be considered as different realizations of a given random compact set, then the natural summaries are the different mean sets proposed in the literature. In this paper, new mean sets are defined by using the basic transformations of Mathematical Morphology (dilation, erosion, opening and closing). These new definitions can be considered, under some additional assumptions, as particular cases of the distance average of Baddeley and Molchanov. The use of the former and new mean sets as summary descriptors of shapes is i…

Statistics and Probabilitybusiness.industryApplied MathematicsNoise reductionImage processingMathematical morphologyCondensed Matter PhysicsConfidence intervalCompact spaceModeling and SimulationRandom compact setDilation (morphology)SegmentationComputer visionGeometry and TopologyComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmMathematicsJournal of Mathematical Imaging and Vision
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Road restraint systems monitoring with stereoscopic dip-technique

2015

Road restraint systems (RRS) are used to protect vehicle occupants from dangerous roadside elements such as rigid obstacles, slopes, utility poles, etc. The crashes on a road restraint system damage its structure and, therefore, the functional behavioral; for this reason is required monitoring the RRS into their operational conditions. The research addresses the problem of the measurement of safety barrier (SB) deformations by means digital image processing technique (DIP). This technique is founded on the analysis of high resolution photos/videos, obtained by means of 3D camera installed into a data vehicle. The DIP technique has been used for evaluating the longitudinal safety barriers de…

StereoscopicEngineering (all)Road restraint systems (RRS)Settore ICAR/04 - Strade Ferrovie Ed AeroportiDigital image processing (DIP)W-beam guardrail
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Hadamard NMR imaging with slice selection

1996

Stochastic NMR imaging is one of the less common NMR imaging techniques. Nevertheless, stochastic rf excitation is characterized by some remarkable features: the rf excitation power is at least two orders of magnitude lower in comparison to conventionally pulsed NMR imaging schemes. Thus, the technique is of interest for imaging of large objects. The systematic noise inherent in images obtained with random noise excitation has been eliminated by using pseudorandom noise together with Hadamard transformation for data evaluation. Data acquisition times are comparable to those of ultrafast imaging techniques. For slice selection, z magnetization is destroyed outside the slice region with speci…

Stochastic ProcessesSignal processingMagnetic Resonance SpectroscopyFourier AnalysisSpectrometerbusiness.industryStochastic processBiomedical EngineeringBiophysicsSignal Processing Computer-AssistedImage processingMagnetic Resonance ImagingNoise (electronics)symbols.namesakeNuclear magnetic resonanceOpticsFourier analysisHadamard transformPseudorandom noiseComputer Science::Computer Vision and Pattern RecognitionImage Processing Computer-AssistedsymbolsRadiology Nuclear Medicine and imagingbusinessMathematicsMagnetic Resonance Imaging
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