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Generalizable patterns in neuroimaging: how many principal components?Exploring fMRI data for periodic signal componentsModeling text with generalizable Gaussian mixturesDetection of skin cancer by classification of Raman spectraUnmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume PriorIndependent component analysis for understanding multimedia contentTemporal analysis of text data using latent variable modelsAnalysis of Pregerminated Barley Using Hyperspectral Image AnalysisTowards a universal representation for audio information retrieval and analysisSurface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mappingPredictive Modeling of Expressed Emotions in Music Using Pairwise ComparisonsIndependent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (SpO2)--a comparative study.Neural classifier construction using regularization, pruning and test error estimation.Haussdorff and hellinger for colorimetric sensor array classificationAn Electronic Patch for wearable health monitoring by reflectance pulse oximetry.Two-microphone separation of speech mixtures.Comments for: Rivals, I., & Personnaz, L. (2000). Construction of confidence intervals for neural networks based on least squares estimation. Neural Networks, 13, 463-484.How efficient is estimation with missing data?The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty YearsTop-down attention with features missing at randomEstimating human predictability from mobile sensor dataPart-of-speech enhanced context recognitionPruning the vocabulary for better context recognitionClustering of Sun exposure measurementsImputating missing values in diary records of sun-exposure studyOn comparison of adaptive regularization methodsDiscrimination of cylinders with different wall thicknesses using neural networks and simulated dolphin sonar signalsSonar discrimination of cylinders from different angles using neural networksDesign of robust neural network classifiersAdaptive regularization of neural classifiersEarly stop criterion from the bootstrap ensembleGeneralization: The Hidden Agenda of LearningDesign and evaluation of neural classifiersDesign and regularization of neural networks: the optimal use of a validation setRevisiting Boltzmann learning: parameter estimation in Markov random fieldsUnsupervised learning and generalizationDesign and evaluation of neural classifiers application to skin lesion classificationEmpirical generalization assessment of neural network modelsTraining and evaluation of neural networks for multi-variate time series processingAdaptive regularization
P50
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P184
description
Danish professor, Technical University of Denmark
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dansk DTU-professor
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name
Jan Larsen
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Jan Larsen
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Jan Larsen
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Jan Larsen
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Jan Larsen
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Jan Larsen
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Jan Larsen
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Jan Larsen
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P185
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2018-01-01T00:00:00Z
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