Results 161 to 170 of about 3,048 (192)
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Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis
Journal of Classification, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joost R van Ginkel +2 more
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The interpretation of Generalized Procrustes Analysis and allied methods
Food Quality and Preference, 1991We discuss various issues surrounding the use and interpretation of Generalized Procrustes Analysis and related methods. Included are considerations that have to be made before starting an analysis, how to handle different dimensionalities of data, when to consider fitting scaling factors and when not to, and the distinction between the number of ...
G.B. Dijksterhuis, J.C. Gower
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Global optimization for optimal generalized procrustes analysis
CVPR 2011, 2011This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by estimating a reference shape and a set of rigid transformations given point correspondences. The transformed shape data must align with the reference shape as best possible. This is a difficult problem.
Daniel Pizarro, Adrien Bartoli
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Permutation tests for Generalized Procrustes Analysis
Food Quality and Preference, 2008Abstract Generalized Procrustes Analysis (GPA) is a useful tool for sensory professionals to analyze sensory data, especially those from free choice profiling. Over a decade ago, Wakeling introduced a permutation test for determining if the GPA consensus is significant.
R. Xiong +3 more
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Generalized joint Procrustes analysis
Computational Statistics, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Weighted analysis for missing values in generalized procrustes analysis
Food Quality and Preference, 2000Generalized Procrustes Analysis (GPA), a popular tool in sensory science, is generally carried out on panelist data matrices averaged over replicates. This paper addresses the problem of missing values arising when panelists miss sessions. Because this does not necessarily result in missing values in the final averaged data matrices, a weighted ...
Wilkinson, C., Schipper, M., Leguijt, T.
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Generalized Isotropic Procrustes Analysis
2019The main peculiarity of the problem treated in this chapter is given by the fact that \(m > 2\) matrix configurations are simultaneously considered.
Fabio Crosilla +4 more
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Efficient tree-structured SfM by RANSAC generalized Procrustes analysis
Computer Vision and Image Understanding, 2017A tree-structured SfM by RANSAC generalized Procrustes analysis (RGPA) is proposed.RGPA is able to reliably merge multiple structures at a time and remove outliers.Quick and robust bottom-up reconstruction is achieved with a shallow tree. This paper proposes a tree-structured structure-from-motion (SfM) method that recovers 3D scene structures and ...
Yisong Chen +4 more
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Generalized Procrustes analysis with iterative weighting to achieve resistance
British Journal of Mathematical and Statistical Psychology, 1995The paper studies the generalized Procrustes problem with the extension of variable weights. A distinction is made between configurations and configuration classes, depending on the type of data used. The main interest is in configuration classes. Two different types of weighting are introduced: the Huber and Tukey weights.
Verboon, Peter, Gabriel, K. Ruben
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A NEW SIGNIFICANCE TEST FOR CONSENSUS IN GENERALIZED PROCRUSTES ANALYSIS
Journal of Sensory Studies, 1992ABSTRACT.Generalized Procrustes Analysis is frequently used to find a consensus from sensory panel data. Recently King and Arents (1991) have proposed a goodness of fit of the consensus configuration based on Monte‐Carlo simulations. A modified test is developed that retains the original assessor configurations by permutation of the data rows.
Wakeling, IAN N. +2 more
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