####Terms of Use
Copyright (c) 2012 by DVMM Laboratory
Department of Electrical Engineering
Columbia University
Rm 1312 S.W. Mudd, 500 West 120th Street
New York, NY 10027
USA
If it is your intention to use this code for non-commercial purposes, such as in academic research, this code is free.
If you use this code in your research, please acknowledge the authors, and cite our related publication:
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang. Supervised Hashing with Kernels. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
####Instruction
Please first see KSH_demo.m to find how my codes work.
For a quick illustration, I used a sampled subset (9K) of the Photo Tourism (Notre Dame part) image patch dataset. Each image patch was represented by a 512-dimensional GIST feature vector. The raw database can be found from http://phototour.cs.washington.edu/patches/default.htm
One possible issue is kernel. I used Gaussian RBF kernel throughout my paper, but any other kernels are admittable. Please ask me if you do not know how to incorporate other kernels. For the important parameter m used in my method, I just simply fix m=300.
For any problem with my codes, feel free to drop me a message via wliu@ee.columbia.edu. Also, I politely ask you to cite my CVPR'12 paper in your publications.
Wei Liu October 3, 2012