Results 21 to 30 of about 644,521 (264)
COPD phenotype description using principal components analysis
Respiratory Research, 2009 Background Airway inflammation in COPD can be measured using biomarkers such as induced sputum and FeNO. This study set out to explore the heterogeneity of COPD using biomarkers of airway and systemic inflammation and pulmonary function by principal ...
Vestbo Jørgen +5 more
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FACIAL EXPRESSION RECOGNITION BASED ON PRINCIPAL COMPONENTS ANALYSIS [PDF]
International Journal of Intelligent Computing and Information Sciences, 2016 Recognizing facial expression is one of the most effective applications of image processing and has obtained great attention in latest years. A recognition system for facial expression is a computer based application which detects an individual facial ...
A. Hewa, O. Nomir, A. Saleh
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Principal Component Classification
CoRR, 2022 We propose to directly compute classification estimates by learning features encoded with their class scores using PCA. Our resulting model has a encoder-decoder structure suitable for supervised learning, it is computationally efficient and performs well for classification on several datasets.
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Generating Facial Composites from Principal Components
MATEC Web of Conferences, 2016 Penetrating computers and process automation into all the fields of human activity meant a breakthrough in the research of forensic methods applied on facial composite production.
Zahradnikova Barbora +2 more
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A Graphical Procedure for Determining Useful Principal Components [PDF]
The Egyptian Statistical Journal, 2012 One of the purposes of principal component analysis is to reduce the dimensionality of the set of variables. Several approaches have been suggested by different authors for determining the number of principal components that should be kept for further ...
Nehad A.Mokhlis +2 more
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Interpretability of Composite Indicators Based on Principal Components
Journal of Probability and Statistics, 2022 Principal component approaches are often used in the construction of composite indicators to summarize the information of input variables. The gain of dimension reduction comes at the cost of difficulties in interpretation, inaccurate targeting, and ...
Kris Boudt +3 more
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A new statistical method for the comparison of biplots with the same objects and variables
Ecological Indicators, 2023 Ordinations are compared most commonly by Procrustes methods applicable to points belonging to the same domain, either the objects or the variables describing them.
Attila István Engloner, János Podani
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Principal volatil components of Txakoli of Bizkaia
OENO One, 1995 The aim of this work was to characterize the Txakoli of Bizkaia, a wine produced in the Basque Country. This note gives account of the volatile content of the wine which has been awarded by the Denominacíon de Origen Bizkaiko Txakolina quality label ...
Ana Escobal +2 more
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Dynamic Functional Principal Components [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2014 SummaryWe address the problem of dimension reduction for time series of functional data (Xt:t∈Z). Such functional time series frequently arise, for example, when a continuous time process is segmented into some smaller natural units, such as days. Then each X t represents one intraday curve.
Hörmann, Siegfried +2 more
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Principal components analysis of employment in Eastern Europe [PDF]
Panoeconomicus, 2006 For the last decade, the employment structure is one of the fastest changing areas of Eastern Europe. This paper explores the best methodology to compare the employment situations in the countries of this region.
Savić Mirko
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