Chebyshev and Conjugate Gradient Filters for Graph Image Denoising

4 September 2015

Papers citing "Chebyshev and Conjugate Gradient Filters for Graph Image Denoising"

9 / 9 papers shown

Title
Spectrally Pruned Gaussian Fields with Neural Compensation Runyi Yang Zhenxin Zhu Zhou Jiang Baijun Ye Xiaoxue Chen Yifei Zhang Yuantao Chen Jian Zhao Hao Zhao 3DGS 113 17 0 01 May 2024
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 88 72 0 16 Nov 2022
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications Wei Hu Jiahao Pang Xianming Liu Dong Tian Chia-Wen Lin A. Vetro 96 63 0 05 Aug 2020
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms Haoran Sun Mingyi Hong 112 52 0 08 Apr 2018
Guided Signal Reconstruction Theory A. Knyazev Akshay Gadde Hassan Mansour Dong Tian 137 3 0 02 Feb 2017
Accelerated graph-based nonlinear denoising filters A. Knyazev A. Malyshev 30 5 0 01 Dec 2015
Edge-enhancing Filters with Negative Weights A. Knyazev 40 10 0 08 Sep 2015
Accelerated graph-based spectral polynomial filters A. Knyazev A. Malyshev 26 7 0 08 Sep 2015
Conjugate Gradient Acceleration of Non-Linear Smoothing Filters A. Knyazev A. Malyshev 39 5 0 04 Sep 2015