no code implementations • 19 Jul 2023 • Henri De Plaen, Johan A. K. Suykens
In this paper, we characterize Probabilistic Principal Component Analysis in Hilbert spaces and demonstrate how the optimal solution admits a representation in dual space.
1 code implementation • CVPR 2023 • Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc van Gool
The approach is well suited for GPU implementation, which proves to be an advantage for large-scale models.
1 code implementation • 5 Feb 2020 • Henri De Plaen, Michaël Fanuel, Johan A. K. Suykens
In the context of kernel methods, the similarity between data points is encoded by the kernel function which is often defined thanks to the Euclidean distance, a common example being the squared exponential kernel.