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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of the American Statistical Association Ročník 106; číslo 495; s. 775 - 790
Hlavní autoři:	Crainiceanu, Ciprian M., Caffo, Brian S., Luo, Sheng, Zipunnikov, Vadim M., Punjabi, Naresh M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Alexandria, VA American Statistical Association 01.09.2011
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!