The body proposes Gaussian kernel regression with a data-dependent bandwidth for functions on manifolds and applies it to sparse CT, but the abstract describes a different Voronoi method and the CT experiments set δ=1, contradicting Eq (11).
Diffusion maps.Applied and computational harmonic analysis, 21(1):5– 30
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A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
The body proposes Gaussian kernel regression with a data-dependent bandwidth for functions on manifolds and applies it to sparse CT, but the abstract describes a different Voronoi method and the CT experiments set δ=1, contradicting Eq (11).