Kernel ridge regression for generalized graph signal processing

• Main Authors: Jian, Xingchao, Tay, Wee Peng
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2023
• 主題: Engineering::Electrical and electronic engineering; Graph Signal Processing; Hilbert Space
• 在線閱讀: https://hdl.handle.net/10356/166434
• 機構: Nanyang Technological University

In generalized graph signal processing (GGSP), a function (an element from a separable Hilbert space) is associated with each vertex. To perform non-linear filtering and regression under the GGSP framework, we formulate an operator-valued kernel ridge regression (KRR) filtering approach. Under a spe...