„Density histogram“
Suchergebnisse
1.000+ Treffer
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Kurtosis and skewness assessments of solid lung nodule density histograms: differentiating malignant from benign nodules on CT
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Erratum to: Kurtosis and skewness assessments of solid lung nodule density histograms: differentiating malignant from benign nodules on CT
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Numerical study of QCD phase diagram at high temperature and density by a histogram method
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The density histograms-derived computerized integrated index (CII) predicts mortality in idiopathic pulmonary fibrosis
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Automatic detection of atrial fibrillation using the coefficient of variation and density histograms of RR and ΔRR intervals
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Clustgrams: an extension to histogram densities based on the minimum description length principle
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Necessary and sufficient conditions for the convergence of integrated and mean-integratedr-th order error of histogram density estimates
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Estimation of neural firing rate: the wavelet density estimation approach
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A noval weighted distance and local density double histogram used in 3D local feature description
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Akaike's information criterion and Kullback-Leibler loss for histogram density estimation
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On the maximum deviation between the histogram and the underlying density
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On the histogram as a density estimator:L 2 theory
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Constructing irregular histograms by penalized likelihood
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Fast Density Estimation from Histograms in Shift Invariant Spaces
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Selectivity estimation with density-model-based multidimensional histogram
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Comparative analysis of density histograms and visual scores in incremental and volumetric high-resolution computed tomography of the chest in idiopathic pulmonary fibrosis patients
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Dependencies Between Histogram Parameters and the Kernel Estimate of the Probability Density of a Multidimensional Random Variable
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Dependence Between Histogram Parameters and the Kernel Estimate of a Unimodal Probability Density
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Flow cytometric assessment of erythrocyte shape through use of FSC histograms: Use of kurtosis and implications for longitudinal evaluation
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Adaptive histogram equalization based on modified probability density function and expected value of image intensity