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Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT Images

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 eigenfunctions, we formulate a new bivariate kernel regression framework as a weighted eigenfunction expansion with the heat...

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Detalhes bibliográficos
Publicado no:Med Image Anal
Main Authors: Chung, Moo K., Qiu, Anqi, Seo, Seongho, Vorperian, Houri K.
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4405438/
https://ncbi.nlm.nih.gov/pubmed/25791435
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2015.02.003
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