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Learning with Euler non-negative representation for robust pattern analysis
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DOI：10.1016/j.eswa.2026.132229.png)
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Abstract
En 中文
• Euler non-negative representation captures nonlinearity with Euler transformation. • Euler non-negative collaborative representation achieves both nonlinearity and efficiency. • Robust Newton-based solver handles constant, linear, and random noise.
Keywords:
Euler non-negative representation
Non-negative collaborative representation
Robust pattern analysis
Newton-based solver
Pattern recognition
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W