Evaluating the performance of dimensionality-reduction and rotation techniques in a latent variable framework

Authors

Eva Muñoz (ORCID: https://orcid.org/0000-0001-9726-3189)
Alberto Cuoci (ORCID: https://orcid.org/0000-0001-5653-0180)
Mohammad Rafi Malik (ORCID: https://orcid.org/0000-0003-3454-2409)
Hong G. Im
A. Parente

Institutions

Université Libre de Bruxelles (BE)
Renewable Energy Systems (United States) (US)
King Abdullah University of Science and Technology (SA)
Politecnico di Milano (IT)

Publication Details

Journal: Combustion Theory and Modelling
Published: 2026-03-26
DOI: https://doi.org/10.1080/13647830.2026.2646181
Primary Topic: Face and Expression Recognition
Type: article
Field-Weighted Citation Impact: 0.00

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article

Evaluating the performance of dimensionality-reduction and rotation techniques in a latent variable framework

Eva Muñoz, Alberto Cuoci, Mohammad Rafi Malik, Hong G. Im et al.

Mar 26, 2026

Combustion Theory and Modelling

Face and Expression Recognition

article

Evaluating the performance of dimensionality-reduction and rotation techniques in a latent variable framework

Eva Muñoz, Alberto Cuoci, Mohammad Rafi Malik, Hong G. Im, A. Parente

March 26, 2026article en

Abstract

No abstract available for this paper.

Combustion Theory and Modelling

Université Libre de Bruxelles (BE), Renewable Energy Systems (United States) (US), King Abdullah University of Science and Technology (SA), Politecnico di Milano (IT)

Openalex Percentile: Top 6%

Face and Expression Recognition

DOI Open Access PDF OpenAlex

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