https://github.com/djsutherland/sdm
Implementation of Support Distribution Machines
https://github.com/djsutherland/sdm
Last synced: 20 days ago
JSON representation
Implementation of Support Distribution Machines
- Host: GitHub
- URL: https://github.com/djsutherland/sdm
- Owner: djsutherland
- License: bsd-3-clause
- Created: 2012-02-03T23:33:24.000Z (over 13 years ago)
- Default Branch: master
- Last Pushed: 2012-09-07T22:03:11.000Z (over 12 years ago)
- Last Synced: 2025-03-30T04:41:31.194Z (about 1 month ago)
- Language: C
- Homepage:
- Size: 594 KB
- Stars: 7
- Watchers: 3
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: COPYING
Awesome Lists containing this project
README
This is a C++ implementation (with C and Matlab MEX interfaces) of Support
Distribution Machines, as described by:
Barnabas Poczos, Liang Xiong, Dougal J. Sutherland, and Jeff Schneider.
_Nonparametric Kernel Estimators for Image Classification._
CVPR 2012. http://autonlab.org/autonweb/20680.html
The code was written by Dougal J. Sutherland.
A pure-Matlab version of this code (much slower, but easier to set up if you're
a Matlab user), written by Liang Xiong, is available at
http://autonlab.org/autonweb/20466.html
Requirements
------------
* [np-divs](https://github.com/dougalsutherland/np-divs/) for nonparametric
divergence estimation
* [LibSVM](http://www.csie.ntu.edu.tw/~cjlin/libsvm/) for support vector
machines
* [Boost](http://boost.org) at least 1.35
* [CMake](http://cmake.org)
* BLAS and LAPACK implementations
* A working FORTRAN compiler (to use BLAS/LAPACK)
Installation
------------
mkdir build; cd build
cmake ..
make
make runtests # optional
make install
This will install the shared library named e.g. `libsdm.so` (depending on
platform) and header files, as well as an `sdm-run` binary and a MEX file to
`share/sdm/matlab`. By default, these will be placed in `/usr/local`; to
install to a different location, use something like:
cmake .. -DCMAKE_INSTALL_PREFIX=$HOME