We describe methods for computing an implicit model of a hypersurface that is given only by a finite sampling. The methods work by mapping the sample points into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.
Author(s): | Schölkopf, B. and Giesen, J. and Spalinger, S. |
Book Title: | Advances in Neural Information Processing Systems 17 |
Journal: | Advances in Neural Information Processing Systems |
Pages: | 1193-1200 |
Year: | 2005 |
Month: | July |
Day: | 0 |
Editors: | LK Saul and Y Weiss and L Bottou |
Publisher: | MIT Press |
Bibtex Type: | Conference Paper (inproceedings) |
Address: | Cambridge, MA, USA |
Event Name: | 18th Annual Conference on Neural Information Processing Systems (NIPS 2004) |
Event Place: | Vancouver, BC, Canada |
Digital: | 0 |
Electronic Archiving: | grant_archive |
ISBN: | 0-262-19534-8 |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
BibTex
@inproceedings{2814, title = {Kernel Methods for Implicit Surface Modeling}, journal = {Advances in Neural Information Processing Systems}, booktitle = {Advances in Neural Information Processing Systems 17}, abstract = {We describe methods for computing an implicit model of a hypersurface that is given only by a finite sampling. The methods work by mapping the sample points into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.}, pages = {1193-1200}, editors = {LK Saul and Y Weiss and L Bottou}, publisher = {MIT Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = jul, year = {2005}, slug = {2814}, author = {Sch{\"o}lkopf, B. and Giesen, J. and Spalinger, S.}, month_numeric = {7} }