RiemTan: Riemannian Tangent-Space Methods

• Riemtan is a framework based on Riemannian tangent-space methods that facilitates analysis on non-Euclidean manifolds.
• It leverages specialized mathematical techniques to improve accuracy in manifold learning and shape analysis.
• The approach finds practical applications in imaging, optimization, and advanced machine learning tasks.

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