A Geometric Measure Theory view of Reproducing Kernel Hilbert Spaces
Reproducing Kernel Hilbert Spaces and the ‘kernel trick’ are used in support vector machine learning algorithms and for splines. Their use for providing a computable norm for surfaces in R^3 as currents will be described.
Contact: Carola-Bibiane Schoenlieb
0 upcoming talks View 2 archived talks
No upcoming talks scheduled for this series.
Please see above for contact details for this list.
![[Talks.cam]](/static/images/talkslogosmall.gif)
