Results 201 to 210 of about 23,397 (235)

Weighted analysis for missing values in generalized procrustes analysis

Food Quality and Preference, 2000
Generalized 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, E.C., Schipper, M., Leguijt, C.   +2 more
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An Improved Majorization Algorithm for Robust Procrustes Analysis

2005
In this paper, we focus on algorithms for Robust Procrustes Analysis that are used to rotate a solution of coordinates towards a target solution while controlling outliers. Verboon (1994) and Verboon and Heiser (1992) showed how iterative weighted least-squares can be used to solve the problem.
Groenen, P.J F, Giaquinto, P., Kiers, H.A.L.   +2 more
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Surgery Task Classification Using Procrustes Analysis

2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2019
Recognizing surgical tasks is a crucial step toward automatic surgical training in robotic surgery training. In this work, we proposed and developed a classification framework for surgical task recognition. This approach is based on using three components: Dynamic Time Warping (DTW), Procrustes analysis (PA), and Fuzzy k- nearest neighbor (FkNN). First,
Safaa Albasri, Mihail Popescu, James Keller   +2 more
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Procrustes Analysis and Geodetic Sciences

2003
Procrustes analysis is a well known technique to provide least squares matching of two or more factor loading matrices or for the multidimensional rotation and scaling of different matrix configurations. Applied at first as a useful tool in factor analysis, today it has become a popular method of shape analysis (Goodall 1991, Dryden and Mardia 1998).
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Permutation tests for Generalized Procrustes Analysis

Food Quality and Preference, 2008
Abstract 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, K. Blot, J.F. Meullenet, J.M. Dessirier   +3 more
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Applications of Anisotropic Procrustes Analysis

2019
As extensively shown in the previous chapters, Procrustes Analysis allows to easily perform transformations among corresponding point coordinates belonging to a generic k-dimensional space and it is therefore suited to solve problems encountered in geodesy, photogrammetric computer vision, and laser scanning.
Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini   +4 more
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Procrustes Analysis and Stock Markets [PDF]

, 2011
In this paper, Procrustes Analyses are introduced with their various facets and set in an economics framework with an application to stock markets. The time series of the daily indexes of eight major world stock markets are considered for a four-year period (1988-91) and five two-year mobile windows are built to find a common graphical representation ...
CAMIZ, Sergio, J. J. Denimal
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Perturbation analysis of the orthogonal procrustes problem

BIT, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Orthogonal and Projection Procrustes Analysis

1995
Abstract A brief review is given in this chapter of those Procrustes methods that have strong Euclidean interpretations. That is those methods which rely on orthogonal matrices and on orthogonal projections. It is shown how all such methods can be presented in a unified framework which can be summarised in the form of an analysis of ...
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Procrustes Analysis on the Special Manifolds

2003
This chapter presents some theoretical results obtained by applying Procrustes methods to statistical analysis on the manifolds V k,m and P k,m−k . Procrustes methods have been useful procedures where we transform a set of given matrices to maximum agreement in the least squares sense, for example, by orthogonal matrices [e.g., Ten Berge (1977)], by ...
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