The $ϕ$-PCA Framework: A Unified and Efficiency-Preserving Approach with Robust Variants

Fuente: arXiv

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Bibliographic Details
Main Authors:	Hung, Hung, Jou, Zhi-Yu, Huang, Su-Yun, Eguchi, Shinto
Format:	Preprint
Published:	2025
Subjects:	Methodology Statistics Theory Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.13159