Cover Image

Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Martel, E., Lazcano, R., Lopez, J., Madroñal, D., Salvador, R., Lopez, S., Juarez, E., Guerra, R., Sanz, C., Sarmiento, R.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications
by: Lazcano, Raquel, et al.
Published: (2024)

Quasicyclic Principal Component Analysis
by: Rumsey, Susanna E., et al.
Published: (2025)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection
by: Fabelo, H., et al.
Published: (2024)

Principal Component Analysis and biplots. A Back-to-Basics Comparison of Implementations
by: Settanni, Ettore
Published: (2024)

Randomized Principal Component Analysis for Hyperspectral Image Classification
by: Ustuner, Mustafa
Published: (2024)

The High-Dimensional Asymptotics of Principal Component Regression
by: Green, Alden, et al.
Published: (2024)

Spatial Sign based Principal Component Analysis for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)

GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
by: Heinrichs, Florian
Published: (2024)

Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling
by: Haiying Chen, et al.
Published: (2026)

A Comparative Analysis of Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) as Dimensionality Reduction Techniques
by: Gyimadu, Michael, et al.
Published: (2025)

A Fast Iterative Robust Principal Component Analysis Method
by: Ouermi, Timbwaoga Aime Judicael, et al.
Published: (2025)

Principal Orthogonal Latent Components Analysis (POLCA Net)
by: H., Jose Antonio Martin, et al.
Published: (2024)

Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis
by: Ren, Yuemei, et al.
Published: (2024)

Dimensionality Reduction for Data Analysis With Quantum Feature Learning
by: Shyam R. Sihare
Published: (2024)

Principal Component Analysis of Competing Correlations in Quarter-Filled Hubbard Models
by: Equbal, Md Fahad, et al.
Published: (2025)

Assessment of Genetic Divergence in Long Day Onion (Allium cepa L.) through Principal Component and Single Linkage Cluster Analysis
by: S. R. Singh
Published: (2020)

Noise Reduction in Nano‐Raman Spectroscopy Using Principal Component Analysis
by: Jane Elisa Guimarães, et al.
Published: (2025)

Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM
by: Víctor R. López-López
Published: (2016)

Hamiltonian Reduction in Affine Principal Bundles
by: Berbel, Miguel Ángel, et al.
Published: (2026)

Analyzing type Ia supernovae near-infrared light curves with Principal Component Analysis
by: Müller-Bravo, T. E., et al.
Published: (2025)

Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
by: Haidar, Salma, et al.
Published: (2025)

San Tirso de Toledo, tragedia perdida de Lope de Vega
by: Abraham Madroñal
Published: (2014)

UNA MEMORIA DE APARIENCIAS INÉDITA DE CALDERÓN Y OTROS DOCUMENTOS SOBRE LA REPRESENTACIÓN DE SUS AUTOS, Y LOS DE ROJAS ZORRILLA, EN TOLEDO ENTRE 1640 Y 1645
by: Abraham Madroñal
Published: (2008)

Los pajes golosos, un entremés novohispano del siglo XVIII inédito y desconocido
by: Abraham Madroñal
Published: (2017)

Extrinsic Principal Component Analysis
by: Wong, Ka Chun, et al.
Published: (2024)

Principal Component Analysis: Standardisation
by: Richard G. Brereton
Published: (2025)

Riemannian Principal Component Analysis
by: Rodríguez, Oldemar
Published: (2025)

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
by: Fabelo, H., et al.
Published: (2024)

Principal Component Analysis for High-Dimensional Approximate Factor Models in Time Series: Assumptions, Asymptotic Theory, and Identification
by: Barigozzi, Matteo
Published: (2022)

Infall onto the Protoplanetary Disk during the Gravitational Collapse of a Molecular Cloud
by: Redkin, E. R., et al.
Published: (2026)

Unburied Bodies
by: Martel, James R.
Published: (2022)

Design and Implementation of Three-Dimensional Printable Optomechanical Components
by: Gunderson, Julie E. C., et al.
Published: (2020)

Robust Principal Component Completion
by: Wang, Yinjian, et al.
Published: (2026)

The Kinematics of Polycyclic Aromatic Hydrocarbons (PAHs) in Galaxies revealed by Principal Component Analysis (PCA) tomography with JWST/NIRSpec
by: Donnan, Fergus R., et al.
Published: (2024)

Highly Adaptive Principal Component Regression
by: Wang, Mingxun, et al.
Published: (2026)

Determination of Phase Transition by Principal Component Analysis Applied to Raman Spectra of Polycristalline BATIO3 at Low and High Temperature
by: E.V. Mejía-Uriarte
Published: (2012)

Principal Component Analysis and K-Means Clustering of Fuel-Air Mixing in Gas Turbine Combustors
by: Salvador-Jasin, David, et al.
Published: (2025)

Principal Component Analysis for Equation Discovery
by: Marzban, Caren, et al.
Published: (2024)

$p$-adic Principal Component Analysis
by: Mihara, Tomoki
Published: (2026)

Heavy-Tailed Principal Component Analysis
by: Sayde, Mario, et al.
Published: (2026)