View caltech101-30 (public)
Kernel matrix for Caltech 101, with 30 examples per class for training
- caltech Kernel Output
- Attribute Types
matlab (60.4 MB)
Files are converted on demand and the process can take up to a minute. Please wait until download begins.
You can edit this item to add more meta information and make use of the site's premium features.
- Original Data Format
- Version mldata
- Data (first 10 data points)
Format not HDF5, zip or tar archive. Will parse the following text:
(No information yet)
- Data Source
- Measurement Details
The classes are in the following order:
- Usage Scenario
This was used for learning the output kernel, i.e. the relationships between the classes in: Francesco Dinuzzo, Cheng Soon Ong, Peter Gehler, and Gianluigi Pillonetto. "Learning Output Kernels with Block Coordinate Descent." ICML 2011
- revision 1
- by cong on 2011-05-01 13:55
No one has posted any comments yet. Perhaps you would like to be the first?
Leave a commentTo post a comment, please sign in.
This item was downloaded 742 times and viewed 553 times.
No Tasks yet on dataset caltech101-30Submit a new Task for this Data item
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)