Results 21 to 30 of about 614,012 (260)
Longitudinal functional principal component analysis [PDF]
Electronic Journal of Statistics, 2010 We introduce models for the analysis of functional data observed at multiple time points. The dynamic behavior of functional data is decomposed into a time-dependent population average, baseline (or static) subject-specific variability, longitudinal (or dynamic) subject-specific variability, subject-visit-specific variability and measurement error. The
Greven, Sonja +3 more
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Structured Functional Principal Component Analysis [PDF]
Biometrics, 2014 Summary Motivated by modern observational studies, we introduce a class of functional models that expand nested and crossed designs. These models account for the natural inheritance of the correlation structures from sampling designs in studies where the fundamental unit is a function or image. Inference is based on functional quadratics
Shou, Haochang +3 more
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Terrestrial, Atmospheric and Oceanic Sciences, 2017 The tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial (or Atlantic Niño) mode, and meridional (or Atlantic dipole) mode.
S. C. Kenfack +6 more
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Robust principal component analysis?
Journal of the ACM, 2011 This article is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component individually? We prove that under some suitable assumptions, it is possible to recover both the low-rank and the sparse components exactly
Candès, Emmanuel J. +3 more
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Bilinear Probabilistic Principal Component Analysis [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2012 Probabilistic principal component analysis (PPCA) is a popular linear latent variable model for performing dimension reduction on 1-D data in a probabilistic manner. However, when used on 2-D data such as images, PPCA suffers from the curse of dimensionality due to the subsequently large number of model parameters.
Kwok, JT, Yu, PLH, Zhao, J
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Principal Component Analysis of Infertility Data
Journal of Kufa for Mathematics and Computer, 2013 This paper applied PCA on infertility set of data, that was collected from Al-Nasiriya  province. Infertility of women that have been unable to conceive a child after one year of their marriage without birth control. Since infertility is very common
Nazera Khalil Dakhil +2 more
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Osmotic dehydration of fish: principal component analysis [PDF]
Acta Periodica Technologica, 2014 Osmotic treatment of the fish Carassius gibelio was studied in two osmotic solutions: ternary aqueous solution - S1, and sugar beet molasses - S2, at three solution temperatures of 10, 20 and 30oC, at atmospheric pressure. The aim was to examine
Lončar Biljana Lj. +6 more
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Morphological Principal Component Analysis for Hyperspectral Image Analysis
ISPRS International Journal of Geo-Information, 2016 This article deals with the issue of reducing the spectral dimension of a hyperspectral image using principal component analysis (PCA). To perform this dimensionality reduction, we propose the addition of spatial information in order to improve the ...
Gianni Franchi, Jesús Angulo
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HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis [PDF]
Genomics & Informatics, 2020 In genome-wide association studies, pathway-based analysis has been widely performed to enhance interpretation of single-nucleotide polymorphism association results.
Nan Jiang, Sungyoung Lee, Taesung Park
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Craniofacial similarity analysis through sparse principal component analysis.
PLoS ONE, 2017 The computer-aided craniofacial reconstruction (CFR) technique has been widely used in the fields of criminal investigation, archaeology, anthropology and cosmetic surgery.
Junli Zhao +7 more
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