Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Osher, Stanley
Shi, Zuoqiang
and
Zhu, Wei
2017.
Low Dimensional Manifold Model for Image Processing.
SIAM Journal on Imaging Sciences,
Vol. 10,
Issue. 4,
p.
1669.
Shi, Zuoqiang
and
Sun, Jian
2017.
Convergence of the point integral method for Laplace–Beltrami equation on point cloud.
Research in the Mathematical Sciences,
Vol. 4,
Issue. 1,
Zhu, Wei
Qiu, Qiang
Huang, Jiaji
Calderbank, Robert
Sapiro, Guillermo
and
Daubechies, Ingrid
2018.
LDMNet: Low Dimensional Manifold Regularized Neural Networks.
p.
2743.
Shi, Zuoqiang
Osher, Stanley
and
Zhu, Wei
2018.
Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model.
Journal of Scientific Computing,
Vol. 75,
Issue. 2,
p.
638.
Shi, Zuoqiang
Sun, Jian
and
Tian, Minghao
2018.
Harmonic Extension on The Point Cloud.
Multiscale Modeling & Simulation,
Vol. 16,
Issue. 1,
p.
215.
Kang, Myeongmin
Kang, Myungjoo
and
Jung, Miyoun
2018.
Image Colorization Based on a Generalization of the Low Dimensional Manifold Model.
Journal of Scientific Computing,
Vol. 77,
Issue. 2,
p.
911.
Lai, Rongjie
and
Li, Jia
2018.
Manifold Based Low-Rank Regularization for Image Restoration and Semi-Supervised Learning.
Journal of Scientific Computing,
Vol. 74,
Issue. 3,
p.
1241.
Slepčev, Dejan
and
Thorpe, Matthew
2019.
Analysis of $p$-Laplacian Regularization in Semisupervised Learning.
SIAM Journal on Mathematical Analysis,
Vol. 51,
Issue. 3,
p.
2085.
Abdullah, Saim
Arif, Omar
Mehmud, Tahir
and
Arif, Muhammad Bilal
2019.
Compressed Sensing MRI Reconstruction using Low Dimensional Manifold Model.
p.
1.
Lai, Rongjie
and
Zhao, Hongkai
2019.
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2.
Vol. 20,
Issue. ,
p.
315.
Abdullah, Saim
Arif, Omar
Bilal Arif, M.
and
Mahmood, Tahir
2019.
MRI Reconstruction From Sparse K-Space Data Using Low Dimensional Manifold Model.
IEEE Access,
Vol. 7,
Issue. ,
p.
88072.
Wu, Zebin
Zhu, Wei
Chanussot, Jocelyn
Xu, Yang
and
Osher, Stanley
2019.
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background.
IEEE Transactions on Signal Processing,
Vol. 67,
Issue. 14,
p.
3858.
Gilani, Faheem
and
Harlim, John
2019.
Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernel.
Journal of Computational Physics,
Vol. 395,
Issue. ,
p.
563.
He, Ruiqiang
Feng, Xiangchu
Wang, Weiwei
Zhu, Xiaolong
and
Yang, Chunyu
2020.
W-LDMM: A Wasserstein driven low-dimensional manifold model for noisy image restoration.
Neurocomputing,
Vol. 371,
Issue. ,
p.
108.
Zhu, Wei
Shi, Zuoqiang
and
Osher, Stanley
2020.
Hyperspectral Image Analysis.
p.
295.
Harlim, John
Sanz-Alonso, Daniel
and
Yang, Ruiyi
2020.
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.
SIAM/ASA Journal on Uncertainty Quantification,
Vol. 8,
Issue. 4,
p.
1414.
Du, Qiang
and
Tian, Xiaochuan
2020.
Mathematics of Smoothed Particle Hydrodynamics: A Study via Nonlocal Stokes Equations.
Foundations of Computational Mathematics,
Vol. 20,
Issue. 4,
p.
801.
Pang, Jiahao
and
Zeng, Jin
2021.
Graph Spectral Image Processing.
p.
133.
Calder, Jeff
Park, Sangmin
and
Slepčev, Dejan
2022.
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications.
Journal of Scientific Computing,
Vol. 92,
Issue. 2,
Yan, Qile
Jiang, Shixiao Willing
and
Harlim, John
2023.