Fast Intersection Kernel SVMs

Subhransu Maji, Alexander C. Berg and Jitendra Malik

Below is a C++/MATLAB implementation of the fast Intersection Kernel SVM classifier described in the paper:

Classification Using Intersection Kernel Support Vector Machines is efficient.
Subhransu Maji and Alexander C. Berg and Jitendra Malik.
In Proceedings, CVPR 2008, Anchorage, Alaska.
pdf

The source code is available as a tar.gz

(7/10/09) libsvm-mat-2.8.1-fast.v3.tar.gz
- Support for float/double features.
- Precomputation and prediction are now separate modules. Lightweight approximate models can be precomputed and stored without the need to store all the support vectors.
- Approximate(or exact) predictions can be done directly using the approximate(or exact) precomputed models.
- Check out the README/READMEFAST for documentation.
(05/19/08) libsvm-mat-2.8.1-fast.tar.gz