Search results for "a posteriori"

showing 10 items of 144 documents

Reference point based multi-objective evolutionary algorithms for group decisions

2008

While in the past decades research on multi-objective evolutionary algorithms (MOEA) has aimed at finding the whole set of Pareto optimal solutions, current approaches focus on only those parts of the Pareto front which satisfy the preferences of the decision maker (DM). Therefore, they integrate the DM early on in the optimization process instead of leaving him/her alone with the final choice of one solution among the whole Pareto optimal set. In this paper, we address an aspect which has been neglected so far in the research on integrating preferences: in most real-world problems, there is not only one DM, but a group of DMs trying to find one consensus decision all participants are wille…

Mathematical optimizationProcess (engineering)Evolutionary algorithmA priori and a posterioriBayesian efficiencyFlow shop schedulingFocus (optics)Set (psychology)Multi-objective optimizationMathematics
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MCR-ALS on metabolic networks: Obtaining more meaningful pathways

2015

[EN] With the aim of understanding the flux distributions across a metabolic network, i.e. within living cells, Principal Component Analysis (PCA) has been proposed to obtain a set of orthogonal components (pathways) capturing most of the variance in the flux data. The problems with this method are (i) that no additional information can be included in the model, and (ii) that orthogonality imposes a hard constraint, not always reasonably. To overcome these drawbacks, here we propose to use a more flexible approach such as Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) to obtain this set of biological pathways through the network. By using this method, different constraint…

Mathematical optimizationProcess Chemistry and TechnologyESTADISTICA E INVESTIGACION OPERATIVAMetabolic networkMetabolic networkLeast SquaresVariance (accounting)Least squaresINGENIERIA DE SISTEMAS Y AUTOMATICAComputer Science ApplicationsAnalytical ChemistrySet (abstract data type)Constraint (information theory)OrthogonalityPichia pastorisPrincipal component analysisA priori and a posterioriMultivariate Curve Resolution-AlternatingGrey modellingSpectroscopySoftwareMathematics
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Accurate registration of random radiographic projections based on three spherical references for the purpose of few-view 3D reconstruction

2008

Precise registration of radiographic projection images acquired in almost arbitrary geometries for the purpose of three-dimensional (3D) reconstruction is beset with difficulties. We modify and enhance a registration method [R. Schulze, D. D. Bruellmann, F. Roeder, and B. d'Hoedt, Med. Phys. 31, 2849-2854 (2004)] based on coupling a minimum amount of three reference spheres in arbitrary positions to a rigid object under study for precise a posteriori pose estimation. Two consecutive optimization procedures (a, initial guess; b, iterative coordinate refinement) are applied to completely exploit the reference's shadow information for precise registration of the projections. The modification h…

Mathematical optimizationProjection (mathematics)Iterative method3D reconstructionImage registrationA priori and a posterioriImage processingGeneral MedicineIterative reconstructionAlgorithmPoseMathematicsMedical Physics
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OLS Identification of network topologies

2011

Abstract In many applications, it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be found in fields as diverse as Economics, Neuroscience and Biochemistry. The paper deals with the problem of deriving a descriptive model of a network, collecting the node outputs as time series with no use of a priori insight on the topology. We cast the problem as the optimization of a cost function where a set of parameters are used to operate a trade-off between accuracy and complexity in the final model. The problem of reducing the complexity is addressed by fixing a certain degree of sparsity and finding the…

Mathematical optimizationtopologyDynamical systems theoryNode (networking)Topology (electrical circuits)topology networks identificationFunction (mathematics)Network topologySet (abstract data type)Identification (information)Settore ING-INF/04 - Automaticatopology; networks; identificationnetworksidentificationA priori and a posterioriMathematicsIFAC Proceedings Volumes
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Integration of different cardiac electrophysiological models into a single simulation pipeline

2012

Clinical translation of computational models of the heart has been hampered by the absence of complete and rigorous technical and clinical validation, as well as benchmarking of the developed tools. To address this issue, a dataset containing the cardiac anatomy and fibre orientations from magnetic resonance images (MRI), as well as epicardial transmembrane potentials from optical mapping acquired on ex-vivo porcine hearts, have previously been made available to the community. Image processing techniques were developed to integrate MRI images with electrical information. Different models were tested and compared with the integrated data1, including: i) a new methodology to customize and reg…

Membrane potentialComputational modelmedicine.diagnostic_testbusiness.industryOrientation (computer vision)Cardiac anatomyComputer scienceHeart shapeMagnetic resonance imagingImage processingElectrophysiologyOptical mappingmedicinesymbolsMaximum a posteriori estimationsymbols.heraldic_chargeComputer visionArtificial intelligencebusiness2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
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Recent Advances in Digital Holographic Microscopy

2018

In digital holographic microscopy (DHM) a hologram is captured in the image space provided by a microscope. The transfer of the phase and amplitude structure in the original sample to the hologram is in fact strongly affected by the use of the imaging microscope. A big research effort has been devoted to correct these distortions both by numerical and optical compensation. In this contribution, we present several proposals to improve the performance of classical DHM architectures by an a priori approach to compensate physically these perturbations. Experimental results are also presented to validate the proposed techniques.

Microscopebusiness.industryComputer scienceHolographyPhase (waves)Physics::OpticsSample (graphics)law.inventionCompensation (engineering)OpticsAmplitudelawA priori and a posterioriDigital holographic microscopybusiness2018 20th International Conference on Transparent Optical Networks (ICTON)
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Is mathematics syntax of language?, II

1995

Around 1930 R. Carnap, H. Hahn and M. Schlick,1 largely under the influence of L. Wittgenstein, developed a conception of the nature of mathematics2 which can be characterized as being a combination of nominalism and conventionalism and which had been foreshadowed in Schlick’s doctrine about implicit definitions.3 Its main objective, according to Hahn and Schlick,4 was to conciliate strict empiricism5 with the a priori certainty of mathematics. According to this conception (which, in the sequel, I shall call the syntactical viewpoint) mathematics can completely be reduced to (or replaced by) syntax of language.6 I.e. the validity of mathematical propositions consists solely in their being c…

NominalismConventionalismmedia_common.quotation_subjectObject languageRealmDoctrineA priori and a posterioriCertaintyLinguisticsSyntax (logic)media_common
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Overview of Other Results and Open Problems

2014

This chapter presents an overview of results related to error control methods, which were not considered in previous chapters. In the first part, we discuss possible extensions of the theory exposed in Chaps. 3 and 4 to nonconforming approximations and certain classes of nonlinear problems. Also, we shortly discuss some results related to explicit evaluation of modeling errors. The remaining part of the chapter is devoted to a posteriori estimates of errors in iteration methods. Certainly, the overview is not complete. A posteriori error estimation methods are far from having been fully explored and this subject contains many unsolved problems and open questions, some of which we formulate …

Nonlinear systemComputer scienceIterative methodSection (archaeology)Variational inequalityCalculusA priori and a posterioriSubject (documents)Estimation methodsError detection and correction
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Normalization of T2W-MRI Prostate Images using Rician a priori

2016

International audience; Prostate cancer is reported to be the second most frequently diagnosed cancer of men in the world. In practise, diagnosis can be affected by multiple factors which reduces the chance to detect the potential lesions. In the last decades, new imaging techniques mainly based on MRI are developed in conjunction with Computer-Aided Diagnosis (CAD) systems to help radiologists for such diagnosis. CAD systems are usually designed as a sequential process consisting of four stages: pre-processing, segmentation, registration and classification. As a pre-processing, image normalization is a critical and important step of the chain in order to design a robust classifier and over…

Normalization (statistics)Computer scienceNormalization (image processing)T2W-MRI02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstateRician fading0202 electrical engineering electronic engineering information engineeringmedicineComputer visionSegmentation[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingpre-processingProstate cancermedicine.diagnostic_testbusiness.industryCancerMagnetic resonance imagingImage segmentationmedicine.diseasemedicine.anatomical_structurenormalizationComputer-aided diagnosisA priori and a posteriori020201 artificial intelligence & image processingcomputer-aided diagnosisArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Visual aftereffects and sensory nonlinearities from a single statistical framework

2015

When adapted to a particular scenery our senses may fool us: colors are misinterpreted, certain spatial patterns seem to fade out, and static objects appear to move in reverse. A mere empirical description of the mechanisms tuned to color, texture, and motion may tell us where these visual illusions come from. However, such empirical models of gain control do not explain why these mechanisms work in this apparently dysfunctional manner. Current normative explanations of aftereffects based on scene statistics derive gain changes by (1) invoking decorrelation and linear manifold matching/equalization, or (2) using nonlinear divisive normalization obtained from parametric scene models. These p…

Normalization (statistics)texture aftereffectComputer scienceadaptationunsupervised learningscene statisticslcsh:RC321-571Behavioral Neurosciencelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryDecorrelationBiological Psychiatrycolor aftereffectParametric statisticsOriginal ResearchCurves analysisbusiness.industryOptical illusionNonparametric statisticsScene statisticsMaximizationsequential principal curves analysisPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyA priori and a posterioriArtificial intelligencebusinessAlgorithmNeurosciencemotion aftereffectFrontiers in Human Neuroscience
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