The Huber Mean: A Robust Way to Average Data on Curved Spaces (IMAGE)
Caption
The newly developed Huber mean provides a more stable and reliable way to compute averages for data lying on curved geometric spaces, or Riemannian manifolds. By combining the strengths of least-squares (L₂) and least-absolute-deviation (L₁) methods, the Huber mean resists distortion from outliers while maintaining efficiency, improving data analysis in fields such as medical imaging, robotics, and artificial intelligence.
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Pusan National University
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