Search results for " posterior"

showing 10 items of 221 documents

On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes

2010

This paper concerns the use of Prototype Reduction Schemes (PRS) to optimize the computations involved in typical k-Nearest Neighbor (k-NN) rules. These rules have been successfully used for decades in statistical Pattern Recognition (PR) applications, and have numerous applications because of their known error bounds. For a given data point of unknown identity, the k-NN possesses the phenomenon that it combines the information about the samples from a priori target classes (values) of selected neighbors to, for example, predict the target class of the tested sample. Recently, an implementation of the k-NN, named as the Locally Linear Reconstruction (LLR) [11], has been proposed. The salien…

Optimization problemComputer science020206 networking & telecommunications02 engineering and technologyReduction (complexity)Set (abstract data type)Data point0202 electrical engineering electronic engineering information engineeringFeature (machine learning)A priori and a posteriori020201 artificial intelligence & image processingPoint (geometry)Quadratic programmingAlgorithm
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A comparison of different optimization algorithms for retrieving aerosol optical depths from satellite data: an example of using a dual-angle algorit…

2011

Optimization techniques are often used in remote sensing retrieval of surface or atmospheric parameters. Nevertheless, different algorithms may exhibit different performances for the same optimization problem. Comparison of some classic optimization approaches in this article aims to select the best method for retrieving aerosol opacity, or even for other parameters, from remotely sensed data. Eight frequently used optimization algorithms were evaluated using both simulated data and actual AATSR advanced along track scanning radiometer data. Several typical land cover types and aerosol opacity levels were also considered in the simulations to make the tests more representative. It was obser…

Optimization problemRadiometerOpacityApproximation errorComputer scienceGeneral Earth and Planetary SciencesContrast (statistics)A priori and a posterioriAATSRAlgorithmAerosolInternational Journal of Remote Sensing
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Guaranteed lower bounds for cost functionals of time-periodic parabolic optimization problems

2019

In this paper, a new technique is shown for deriving computable, guaranteed lower bounds of functional type (minorants) for two different cost functionals subject to a parabolic time-periodic boundary value problem. Together with previous results on upper bounds (majorants) for one of the cost functionals, both minorants and majorants lead to two-sided estimates of functional type for the optimal control problem. Both upper and lower bounds are derived for the second new cost functional subject to the same parabolic PDE-constraints, but where the target is a desired gradient. The time-periodic optimal control problems are discretized by the multiharmonic finite element method leading to lar…

Optimization problemtime-periodic conditionmultiharmonic finite element methodDiscretizationtwo-sided boundsSystems and Control (eess.SY)010103 numerical & computational mathematicsSystem of linear equationsElectrical Engineering and Systems Science - Systems and Control01 natural sciencesUpper and lower boundsSaddle pointFOS: MathematicsFOS: Electrical engineering electronic engineering information engineeringApplied mathematicsMathematics - Numerical AnalysisBoundary value problem0101 mathematicsMathematics - Optimization and ControlMathematicsosittaisdifferentiaaliyhtälöt35Kxx 65M60 65M70 65M15 65K10parabolic optimal control problemsNumerical Analysis (math.NA)matemaattinen optimointiOptimal controlFinite element method010101 applied mathematicsComputational MathematicsComputational Theory and MathematicsOptimization and Control (math.OC)Modeling and Simulationa posteriori error analysisnumeerinen analyysiguaranteed lower boundsComputers & Mathematics with Applications
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Static output-feedback control under information structure constraints

2013

An important challenge in the static output-feedback control context is to provide an isolated gain matrix possessing a zero-nonzero structure, mainly in problems presenting information structure constraints. Although some previous works have contributed some relevant results to this issue, a fully satisfactory solution has not yet been achieved up to now. In this note, by using a Linear Matrix Inequality approach and based on previous results given in the literature, we present an e cient methodology which permits to obtain an isolated static output-feedback gain matrix having, simultaneously, a zero-nonzero structure imposed a priori. Peer Reviewed

Output feedbackAutomatic controlLMIs:Informàtica::Automàtica i control [Àrees temàtiques de la UPC]:Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics [Àrees temàtiques de la UPC]:15 Linear and multilinear algebra; matrix theory [Classificació AMS]Information structureControl (management):15 Linear and multilinear algebra [Classificació AMS]Structure (category theory)Linear matrix inequalityContext (language use)Information structure constraintsOutput-feedback controlMatrius (Matemàtica)Control automàticMatrix (mathematics)Control and Systems EngineeringControl theoryInformation structure constraints; LMIs; Output-feedback controlmatrix theoryA priori and a posterioriElectrical and Electronic EngineeringMatrix inequalitiesMathematics
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A visual framework to create photorealistic retinal vessels for diagnosis purposes

2020

The methods developed in recent years for synthesising an ocular fundus can be been divided into two main categories. The first category of methods involves the development of an anatomical model of the eye, where artificial images are generated using appropriate parameters for modelling the vascular networks and fundus. The second type of method has been made possible by the development of deep learning techniques and improvements in the performance of hardware (especially graphics cards equipped with a large number of cores). The methodology proposed here to produce high-resolution synthetic fundus images is intended to be an alternative to the increasingly widespread use of generative ad…

PLUS DISEASEData augmentationFundus OculiComputer scienceCOMPUTER-AIDED DIAGNOSISIMAGESSEGMENTATIONComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHealth InformaticsSynthetic retinal imageFundus (eye)Fundus image analysisStatistical featuresTORTUOSITY03 medical and health sciences0302 clinical medicineImage Processing Computer-AssistedComputer vision030212 general & internal medicineGraphics030304 developmental biologyGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesSettore INF/01 - Informaticabusiness.industryDeep learningRetinal VesselsReal imageComputer Science ApplicationsPredictive evaluation diseasesFILTERA priori and a posterioriArtificial intelligencebusinessSYSTEMJournal of Biomedical Informatics
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Frequency-specific network activity predicts bradykinesia severity in Parkinson’s disease

2021

Highlights • Parallel subnetworks are affected in bradykinesia. • The primary motor and the premotor cortex are common nodes with task-specificity. • Beta activity decreases, gamma activity increases with improvement of bradykinesia. • Subthalamic stimulation reduces beta, increases gamma power in ipsilateral cortex. • Subnetworks act with frequency-specific oscillations.

PPC posterior parietal cortexBradykinesiaParkinson's diseaseDeep brain stimulationCognitive Neurosciencemedicine.medical_treatmentComputer applications to medicine. Medical informaticsR858-859.7FT finger tappingHypokinesiaElectromyographyElectroencephalographyPS pronation-supinationGamma oscillationPremotor cortexCER cerebellumSubthalamic NucleusDeep brain stimulationmedicineHumansRadiology Nuclear Medicine and imagingRC346-429SMA supplementary motor cortexM1 primary motor cortexResting state fMRImedicine.diagnostic_testbusiness.industryRegular ArticleBeta oscillationmedicine.diseasehumanitiesnervous system diseasesParkinson diseaseHG hand graspingSubthalamic nucleusCross-Sectional Studiesmedicine.anatomical_structurePMC premotor cortexNeurologyDLPFC dorsolateral prefrontal cortexFinger tappingStrEM structural equation modellingNeurology. Diseases of the nervous systemNeurology (clinical)businessNeuroscienceSTN subthalamic nucleusNeuroImage: Clinical
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Potential of interactive multiobjective optimization in supporting the design of a groundwater biodenitrification process

2019

The design of water treatment plants requires simultaneous analysis of technical, economic and environmental aspects, identified by multiple conflicting objectives. We demonstrated the advantages of an interactive multiobjective optimization (MOO) method over a posteriori methods in an unexplored field, namely the design of a biological treatment plant for drinking water production, that tackles the process drawbacks, contrarily to what happens in a traditional volumetric-load-driven design procedure. Specifically, we consider a groundwater denitrification biofilter, simulated by the Activated Sludge Model modified with two-stage denitrification kinetics. Three objectives were defined (nitr…

Pareto optimalityDecision support systemdecision supportEnvironmental EngineeringProcess (engineering)Computer science0208 environmental biotechnologypäätöksentukijärjestelmät02 engineering and technologyActivated sludge model010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesMulti-objective optimizationInteractive methodIND-NIMBUSWater treatmentSensitivity (control systems)Process engineeringWaste Management and DisposalGroundwater0105 earth and related environmental sciencesvedenpuhdistusNitratesSewagepareto optimalitypareto-tehokkuusbusiness.industrywater treatmentGeneral Medicineinteractive methodvedenkäsittelymonitavoiteoptimointi020801 environmental engineeringDecision supportRange (mathematics)Decision support; IND-NIMBUS; Interactive method; NIMBUS method; Pareto optimality; Water treatment; Algorithms; Denitrification; Nitrates; Sewage; GroundwaterDenitrificationA priori and a posterioriWater treatmentNIMBUS methodbusinessAlgorithms
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An Interactive MIDI Accompanist

1998

The ability to infer beat and meter from music is one of the basic activities of musical cognition. After hearing only a short fraction of music, we are able to develop a sense of beat and to tap our foot along with the music. Even if the music is rhythmically complex, containing a range of different time values and possibly syncopation as well, we are capable of inferring the different periodicities present in the music and synchronizing to them. Simulating this activity with a computer program might seem, at first glance, to be simple. If a note onset (that is, an attack) occurs before the system expects it to occur, the estimated tempo is increased, and vice versa. In practice, however, …

ParsingMIDIComputer scienceSpeech recognitionMusicalcomputer.file_formatcomputer.software_genreComputer Science ApplicationsSyncopationRhythmMedia TechnologyA priori and a posterioriComputer musiccomputerBeat (music)MusicComputer Music Journal
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Prova testimoniale e patti posteriori alla formazione del documento

2010

Patti posterioriprova testimonialeSettore IUS/01 - Diritto Privato
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Calcium dependence of the evoked arginine vasopressin release by electrical stimulation and by L-glutamate.

1989

Pharmacologymedicine.medical_specialtyPituitary glandVasopressinArgininechemistry.chemical_elementStimulationCalciumBiologyIn Vitro TechniquesElectric StimulationRatsArginine Vasopressinmedicine.anatomical_structureEndocrinologychemistryGlutamatesPituitary Gland PosteriorL glutamateInternal medicinemedicineAnimalsCalciumElectric stimulationPharmacological research
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