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Luoming Xu

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Open access Jul 2026

Robust Semi-Supervised Deep Autoencoder-like Nonnegative Matrix Factorization for Multi-View Clustering

This paper introduces the correntropy-based semi-supervised multi-view deep autoencoder-like NMF (CSDANMF) framework, and provides comprehensive algorithmic evaluations, including a formal robustness analysis on corrupted datasets and a computational complexity analysis.

Meilin Wang, Luoming Xu, Shuzhao Xu et al. · 0 citations