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Graph-Convolutional-Beta-VAE for synthetic abdominal aortic aneurysm generation. [PDF]
Med Biol Eng ComputFabbri F +4 more
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DNA metabarcoding of mites from small soil samples: limited agreement with morphological identifications but improved results from long-read sequencing. [PDF]
PeerJVarusk S +4 more
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Shape Clustering as a Type of Procrustes Analysis
Lecture Notes in Computer Science, 2018The ordinary Procrustes sum of squares is one of the most important measures in Procrustes analysis of shape. In this paper, we incorporate a competitive learning scheme into Procrustes analysis. We introduce a measure of distance between the landmarks of shapes for a competitive learning scheme.
Kazunori Iwata, Iwata Kazunori
exaly +3 more sources
Multivariate Data Analysis on Matrix Manifolds, 2021
Broadly speaking, Procrustes analysis (PA) is about transforming some configuration of points in the plane/space to fit into a given specific pattern of points. PA is named after the character Procrustes from the Greek mythology, a robber dwelling somewhere in Attica (and son of Poseidon).
Nickolay Trendafilov, Michele Gallo
openaire +2 more sources
Broadly speaking, Procrustes analysis (PA) is about transforming some configuration of points in the plane/space to fit into a given specific pattern of points. PA is named after the character Procrustes from the Greek mythology, a robber dwelling somewhere in Attica (and son of Poseidon).
Nickolay Trendafilov, Michele Gallo
openaire +2 more sources
Performing procrustes discriminant analysis with HOLMES
Talanta, 1999Program HOLMES devised by target factor analysis has been updated for performing procrustes discriminant analysis (PDA). Computational details are outlined. The equivalence between PDA and partial least squares-discriminant analysis (PLS-DA) is established. Application of the PDA is illustrated by two case studies taken from literature.
Domingo Gonzalez-Arjona +2 more
exaly +3 more sources
Orthogonal Procrustes Analysis
Advanced Procrustes Analysis Models in Photogrammetric Computer Vision, 2019The terms Procrustes Analysis and Procrustes Techniques are referred to a set of least squares mathematical models used to perform transformations among corresponding points belonging to a generic k-dimensional space, in order to satisfy their maximum agreement.
Fabio Crosilla +4 more
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Anisotropic Procrustes Analysis
Advanced Procrustes Analysis Models in Photogrammetric Computer Vision, 2019The EOPA and GPA models, described in the previous chapters, can be further extended by substituting the isotropic scale factor c with an anisotropic scaling characterized by a diagonal matrix \(\varvec{\Gamma }\) of different scale factors.
Fabio Crosilla +4 more
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On the Correspondence Between Procrustes Analysis and Bidimensional Regression
Journal of Classification, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Justin L. Kern
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Applications of Anisotropic Procrustes Analysis
Advanced Procrustes Analysis Models in Photogrammetric Computer Vision, 2019As 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 +4 more
openaire +2 more sources
Hand-Eye Calibration: 4-D Procrustes Analysis Approach
IEEE Transactions on Instrumentation and Measurement, 2020We give a universal analytical solution to the hand-eye calibration problem ${AX} = {XB}$ with known matrices ${A}$ and ${B}$ and unknown variable ${X}$ , all in the set of special Euclidean group SE(3).
Jin Wu +3 more
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