Material Detail
Kernel Learning for Novelty Detection
This video was recorded at NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels, Whistler 2008. We consider kernel learning for one-class Support Vector Machines. We consider a mix of 2- and 1-norms of the individual weight vector norms allowing control of the sparsity of the resulting kernel combination. The resulting optimisation can be solved efficiently using a coordinate gradient method. We consider an application to automatically detecting the appropriate metric for a guided image search task.
Quality
- User Rating
- Comments
- Learning Exercises
- Bookmark Collections
- Course ePortfolios
- Accessibility Info
More about this material
- Mobile Compatibility:
- Not specified at this time
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Accessibility Information Available:
- Unknown
- Creative Commons:
-
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
