Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning

21 October 2016

Papers citing "Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning"

5 / 5 papers shown

Title
A Dual Formulation for Probabilistic Principal Component Analysis Henri De Plaen Johan A. K. Suykens 13 0 0 19 Jul 2023
Duality in Multi-View Restricted Kernel Machines Sonny Achten Arun Pandey Hannes De Meulemeester B. De Moor Johan A. K. Suykens 19 2 0 26 May 2023
Multi-view Kernel PCA for Time series Forecasting Arun Pandey Hannes De Meulemeester B. De Moor Johan A. K. Suykens AI4TS 36 5 0 24 Jan 2023
Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels Qin Luo Kun Fang Jie-jin Yang Xiaolin Huang 13 1 0 13 Apr 2021
Robust Classification of Graph-Based Data Carlos M. Alaíz Michaël Fanuel Johan A. K. Suykens 23 3 0 21 Dec 2016