Multiscale geometric methods for noisy point clouds in high dimensions
Event details
| Date | 20.12.2010 |
| Hour | 16:00 |
| Speaker | Prof. Mauro Maggioni |
| Location |
ELD 220
|
| Category | Conferences - Seminars |
We discuss techniques for the geometric multiscale analysis of intrinsically low-dimensional point clouds. We first show how such techniques may be used to estimate the intrinsic dimension of data sets, then discuss a novel geometric multiscale transform, based on what we call geometric wavelets, that leads to novel approximation schemes for point clouds, and dictionary learning methods for data sets. Finally, we apply similar techniques to model estimation when points are sampled from a measure supported on a union of an unknown number of unknown planes of unknown dimensions.
Links
Practical information
- General public
- Free