Orthogonal Procrustes Analysis for Dictionary Learning in Sparse Linear Representation. [PDF]
In the sparse representation model, the design of overcomplete dictionaries plays a key role for the effectiveness and applicability in different domains. Recent research has produced several dictionary learning approaches, being proven that dictionaries
Grossi G, Lanzarotti R, Lin J.
europepmc +6 more sources
Deep Learning and Procrustes Analysis for Early Dysgraphia Risk Detection with a Tablet Application. [PDF]
Dysgraphia is a neurodevelopmental disorder specific to handwriting. Classical diagnosis is based on the evaluation of speed and quality of the final handwritten text: it is therefore delayed as it is conducted only when handwriting is mastered, in ...
Lomurno E +5 more
europepmc +3 more sources
On Procrustes Analysis in Hyperbolic Space [PDF]
Congruent Procrustes analysis aims to find the best matching between two point sets through rotation, reflection and translation. We formulate the Procrustes problem for hyperbolic spaces, review the canonical definition of the center of point sets, and give a closed form solution for the optimal isometry for noise-free measurements.
Puoya Tabaghi, Ivan Dokmanić
semanticscholar +5 more sources
Procrustes Analysis for High-Dimensional Data. [PDF]
Abstract The Procrustes-based perturbation model (Goodall in J R Stat Soc Ser B Methodol 53(2):285–321, 1991) allows minimization of the Frobenius distance between matrices by similarity transformation. However, it suffers from non-identifiability, critical interpretation of the transformed matrices, and inapplicability in high ...
Andreella A, Finos L.
europepmc +10 more sources
An improved Fisher discriminant analysis algorithm based on Procrustes analysis for adaptive fault recognition [PDF]
Aiming at the problem of continuous model updating for fault recognition in the time-varying process, a novel method called the Procrustes analysis–based Fisher discriminant analysis was proposed.
Aimin Miao +4 more
doaj +3 more sources
Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis. [PDF]
Variety classification is an important step in seed quality testing. This study introduces t-distributed stochastic neighbourhood embedding (t-SNE), a manifold learning algorithm, into the field of hyperspectral imaging (HSI) and proposes a method for ...
Miao A +5 more
europepmc +3 more sources
A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm. [PDF]
Background We aimed to establish a novel method, using the weighted Procrustes analysis (WPA) algorithm, which assigns weight to facial anatomical landmarks, to construct a three-dimensional facial symmetry reference plane (SRP) for mandibular deviation ...
Zhu Y +7 more
europepmc +4 more sources
Using Generalized Procrustes Analysis for Evaluation of Sensory Characteristic Data of Lamb Meat
Generalized Procrustes Analysis (GPA) is a multivariate statistic method that is used at the evaluation of sensory analyses in the food industry. GPA provides benefit in terms of decreasing the difference between the panellists and bringing the data ...
Gazel Ser
openalex +4 more sources
Anisotropic generalized Procrustes analysis
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammed Bennani Dosse +2 more
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Generalized Procrustes Analysis
Suppose Pi(i) (i = 1, 2, ..., m, j = 1, 2, ..., n) give the locations of mn points in p-dimensional space. Collectively these may be regarded as m configurations, or scalings, each of n points in p-dimensions. The problem is investigated of translating, rotating, reflecting and scaling the m configurations to minimize the goodness-of-fit criterion Σi ...
J. Gower
openaire +3 more sources

