Kernel ridge regression for generalized graph signal processing

• المؤلفون الرئيسيون: Jian, Xingchao, Tay, Wee Peng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Graph Signal Processing; Hilbert Space
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/166434

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...