Learning diffusion on global graph: a PDE-directed approach for feature detection on geometric shapes
type: Item
instance of: scholarly article
title: Learning diffusion on global graph: a PDE-directed approach for feature detection on geometric shapes
zbMATH Open document ID: 1505.65128
author: Nannan Li
author: Shengfa Wang
author: Risheng Liu
author: Ziqiao Guan
author: Hong Qin
author: Zhixun Su
author: Zhongxuan Luo
published in: Computer Aided Geometric Design
publication date: 2019-11-27T00:00:00Z
Mathematics Subject Classification ID: 65D18
zbMATH DE Number: 7137413
zbMATH Keywords: partial differential equations (PDEs)
zbMATH Keywords: global graph
zbMATH Keywords: submodularity
zbMATH Keywords: small-sample learning
zbMATH Keywords: feature detection
MaRDI profile type: Publication
full work available at URL: j.cagd.2019.04.020
OpenAlex ID: W2950031164
cites work: Best Algorithms for Approximating the Maximum of a Submodular Set Function
cites work: Partial shape matching without point-wise correspondence
cites work: Nonlinear total variation based noise removal algorithms
cites work: Q5470456
cites work: Mesh saliency via spectral processing
cites work: Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space
Wikidata QID: Q127683122
DOI: 10.1016/J.CAGD.2019.04.020
description: scientific article; zbMATH DE number 7137413