Kernel Least‐Mean‐Square Algorithm
By Weifeng Liu, José Carlos Príncipe, Simon S. Haykin. 2010
327 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/54af112d2089aef0a4dbab1f90f6f1b6cbdd0f8b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Badong Chen
- Dacheng Tao
- José Carlos Príncipe
- Xinge You
- Puskal P. Pokharel
- Jing Zhang
- Weifeng Liu
- Charu C. Aggarwal
Citations in the corpus
- Quantized Kernel Least Mean Square Algorithm (2012, methodology): “These algorithms include the kernel least mean square (KLMS) [17], [18], kernel affine projection algorithms (KAPAs) [19], kernel recursive least squares (KRLS) [20], extended KRLS [21], etc.”
- Kernel Learning for Dynamic Texture Synthesis (2016, background): “For LDS-based DT synthesis, its stability can be analyzed with the locations of its poles (defined as the eigenvalues of state transition matrix).”