Population Value Decomposition, a Framework for the Analysis of Image Populations

Images, often stored in multidimensional arrays, are fast becoming ubiquitous in medical and public health research. Analyzing populations of images is a statistical problem that raises a host of daunting challenges. The most significant challenge is the massive size of the datasets incorporating im...

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Vydané v:	Journal of the American Statistical Association Ročník 106; číslo 495; s. 775 - 790
Hlavní autori:	Crainiceanu, Ciprian M., Caffo, Brian S., Luo, Sheng, Zipunnikov, Vadim M., Punjabi, Naresh M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Alexandria, VA American Statistical Association 01.09.2011
Predmet:	Applications Applications and Case Studies Data processing Eigenfunctions Eigenvalues Eigenvectors Exact sciences and technology Frequency ranges General topics Image analysis Inference from stochastic processes; time series analysis Magnetic resonance imaging Mathematics Matrices Medical care Medical sciences Methodology Multivariate analysis Principal components analysis Probability and statistics Public health Sciences and techniques of general use Sleep Statistical models Statistical variance Statistics Biometrics Decomposition method Population analysis Decomposition Electroencephalography Statistical estimation Signal extraction Multivariate analysis Stochastic process Statistical method Random field Computational geometry Image analysis Reduction method Medical science Cohort study Computer graphics Public health
ISSN:	0162-1459, 1537-274X
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