Learning with Euler non-negative representation for robust pattern analysis

doi:10.1016/j.eswa.2026.132229

2026-03-30

PRE

DOI：10.1016/j.eswa.2026.132229

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摘要

En 中文

• 欧拉非负表示通过欧拉变换捕捉非线性。• 欧拉非负协同表示同时实现非线性和效率。• 鲁棒牛顿求解器处理常数、线性及随机噪声。

Keyword:

Euler non-negative representation

Non-negative collaborative representation

Robust pattern analysis

Newton-based solver

Pattern recognition

期刊

Expert Systems with Applications

IF:

7.5

论文数:

3.0W

被引数:

10.2W

机构

Shanghai University

学者数:

2.1K

论文数: 745

被引数: 3.7W

city university of macau

学者数:

1.3K

论文数: 1.4K

被引数: 1

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