Search results for "Underdetermined system"

showing 5 items of 5 documents

Dimension reduction: additional benefit of an optimal filter for independent component analysis to extract event-related potentials.

2011

The present study addresses benefits of a linear optimal filter (OF) for independent component analysis (ICA) in extracting brain event-related potentials (ERPs). A filter such as the digital filter is usually considered as a denoising tool. Actually, in filtering ERP recordings by an OF, the ERP' topography should not be changed by the filter, and the output should also be able to be modeled by the linear transformation. Moreover, an OF designed for a specific ERP source or component may remove noise, as well as reduce the overlap of sources and even reject some non-targeted sources in the ERP recordings. The OF can thus accomplish both the denoising and dimension reduction (reducing the n…

AdultMaleUnderdetermined systemSpeech recognitionNoise reductionYoung AdultHumansChildEvoked Potentialsta515ta217Mathematicsta113Principal Component Analysisbusiness.industryGeneral NeuroscienceDimensionality reductionPattern recognitionElectroencephalographyFilter (signal processing)Independent component analysisNoisePrincipal component analysisLinear ModelsFemaleArtificial intelligencebusinessDigital filterPhotic StimulationJournal of neuroscience methods
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Estimating brain connectivity when few data points are available: Perspectives and limitations

2017

Methods based on the use of multivariate autoregressive modeling (MVAR) have proved to be an accurate and flexible tool for the estimation of brain functional connectivity. The multivariate approach, however, implies the use of a model whose complexity (in terms of number of parameters) increases quadratically with the number of signals included in the problem. This can often lead to an underdetermined problem and to the condition of multicollinearity. The aim of this paper is to introduce and test an approach based on Ridge Regression combined with a modified version of the statistics usually adopted for these methods, to broaden the estimation of brain connectivity to those conditions in …

Multivariate statisticsUnderdetermined system0206 medical engineeringBiomedical EngineeringSignal Processing; Biomedical Engineering; 1707; Health InformaticsHealth Informatics02 engineering and technologyMachine learningcomputer.software_genreBrain Mapping Brain03 medical and health sciences0302 clinical medicineFalse positive paradox1707MathematicsBrain Mappingbusiness.industryBrain020601 biomedical engineeringRegressionData pointAutoregressive modelMulticollinearitySignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaOrdinary least squaresArtificial intelligenceData miningbusinesscomputer030217 neurology & neurosurgery2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Estimating intrinsic image from successive images by solving underdetermined and overdetermined systems of the dichromatic model

2020

International audience; Estimating an intrinsic image from a sequence of successive images taken from an object at different angles of illumination can be used in various applications such as objects recognition, color classification, and the like; because, in so doing, it can provide more visual information. Meanwhile, according to the well-known dichromatic model, each image can be considered a linear combination of three components, including intrinsic image, shading factor, and specularity. In this study, at first, two simple independent constrained and parallelized quadratic programming steps were used for computing values of the shading factor and the specularity of each successive of…

PixelUnderdetermined systemComputer sciencebusiness.industry[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSingular value decompositionIntrinsic image[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Dichromatic ModelOverdetermined systemGamutSpecularity[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Singular value decompositionComputer visionQuadratic programmingArtificial intelligenceLinear combinationbusinessComputingMethodologies_COMPUTERGRAPHICS
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ERP denoising in multichannel EEG data using contrasts between signal and noise subspaces

2009

Abstract In this paper, a new method intended for ERP denoising in multichannel EEG data is discussed. The denoising is done by separating ERP/noise subspaces in multidimensional EEG data by a linear transformation and the following dimension reduction by ignoring noise components during inverse transformation. The separation matrix is found based on the assumption that ERP sources are deterministic for all repetitions of the same type of stimulus within the experiment, while the other noise sources do not obey the determinancy property. A detailed derivation of the technique is given together with the analysis of the results of its application to a real high-density EEG data set. The inter…

Underdetermined systemNoise reductionInverseElectroencephalographyDyslexiaEvent-related potentialmedicineHumansChildEvoked PotentialsMathematicsLanguage Testsmedicine.diagnostic_testbusiness.industryGeneral NeuroscienceDimensionality reductionBrainElectroencephalographySignal Processing Computer-AssistedPattern recognitionLinear subspaceLinear mapAcoustic StimulationData Interpretation StatisticalLinear ModelsSpeech PerceptionArtificial intelligenceArtifactsbusinessAlgorithmsSoftwareJournal of Neuroscience Methods
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Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data

2012

As nonnegative tensor factorization (NTF) is particularly useful for the problem of underdetermined linear transform model, we performed NTF on the EEG data recorded from 14 electrodes to extract the multi-domain feature of N170 which is a visual event-related potential (ERP), as well as 5 typical electrodes in occipital-temporal sites for N170 and in frontal-central sites for vertex positive potential (VPP) which is the counterpart of N170, respectively. We found that the multi-domain feature of N170 from 5 electrodes was very similar to that from 14 electrodes and more discriminative for different groups of participants than that of VPP from 5 electrodes. Hence, we conclude that when the …

Vertex (graph theory)Underdetermined systemDiscriminative modelFeature (computer vision)business.industryEvent-related potentialElectrodeFeature extractionPattern recognitionArtificial intelligenceNonnegative tensor factorizationbusinessMathematics
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