74 citations · 162 across the 36 of their papers we have counts for
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cs.CV2014
Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images
Moo K. Chung, Anqi Qiu, Seongho Seo +1
We present a novel kernel regression framework for smoothing scalar surface data using the Laplace-Beltrami eigenfunctions. Starting with the heat kernel constructed from the eigen…
stat.ME2014★ 74 cited
Persistent Homology in Sparse Regression and its Application to Brain Morphometry
Moo K. Chung, Jamie L. Hanson, Jieping Ye +2
Sparse systems are usually parameterized by a tuning parameter that determines the sparsity of the system. How to choose the right tuning parameter is a fundamental and difficult p…