Results 11 to 20 of about 25,502,428 (271)

Orthogonal Procrustes Analysis for Dictionary Learning in Sparse Linear Representation. [PDF]

open access: goldPLoS One, 2017
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]

open access: yesLife (Basel), 2023
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]

open access: hybridIEEE Signal Processing Letters, 2021
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]

open access: yesPsychometrika, 2022
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]

open access: goldMeasurement + Control, 2019
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]

open access: yesSensors (Basel), 2018
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]

open access: greenBMC Oral Health, 2020
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

open access: goldTurkish Journal of Agriculture: Food Science and Technology, 2019
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

open access: greenComputational Statistics & Data Analysis, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammed Bennani Dosse   +2 more
openalex   +5 more sources

Generalized Procrustes Analysis

open access: yesPsychometrika, 1975
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

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