Online Kernel Principal Component Analysis: A Reduced-Order Model

By Paul Honeine. 2012

110 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Steven C. H. Hoi
2. Doyen Sahoo
3. Yingyu Liang
4. Le Song
5. Peilin Zhao
6. Zeyuan Allen-Zhu
7. Bo Xie
8. Yuanzhi Li

Citations in the corpus

• Online Learning: A Comprehensive Survey (2018, methodology): “For nonlinear space learning methods, online Kernel-PCA has also received some research interests (Kuzmin and Warmuth, 2007; Honeine, 2012).”
• Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients (2015, methodology): “These stochastic methods have also been extended to the kernel case [9, 5, 8].”
• Online Machine Learning in Big Data Streams (2018, methodology): “Iterative kernel PCA is described in [132, 105] and online kernel PCA in [117].”