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Raymond H. Chan

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Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering

Dec 24, 2023
Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan

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Single-Shot Plug-and-Play Methods for Inverse Problems

Nov 22, 2023
Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

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TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations

Nov 21, 2023
Zhenda Shen, Yanqi Cheng, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

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A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection

Feb 22, 2023
Wei Tang, Yinxiao Wang, Kangning Cui, Raymond H. Chan

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Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm

Feb 14, 2023
Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan

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Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests

Jun 19, 2022
Kangning Cui, Seda Camalan, Ruoning Li, Victor P. Pauca, Sarra Alqahtani, Robert J. Plemmons, Miles Silman, Evan N. Dethier, David Lutz, Raymond H. Chan

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Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry

Apr 28, 2022
Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan

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A 3-stage Spectral-spatial Method for Hyperspectral Image Classification

Apr 20, 2022
Raymond H. Chan, Ruoning Li

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Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation

Apr 14, 2022
Ruoning Li, Kangning Cui, Raymond H. Chan, Robert J. Plemmons

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