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Accelerate Vector Diffusion Maps by Landmarks

Yeh, Sing-Yuan et al.
arXiv (OAI Expanded) · Papers
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53c2158j50data-analysisdifferential-geometrymachine-learningstatistics-and-probability
We propose a landmark-constrained algorithm, LA-VDM (Landmark Accelerated Vector Diffusion Maps), to accelerate the Vector Diffusion Maps (VDM) framework built upon the Graph Connection Laplacian (GCL), which captures pairwise connection relationships within complex datasets. LA-VDM introduces a nov
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