Surprise Matlab Toolkit

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Surprise_Matlab_Toolkit: Basic Overview | How To Use | Reference | Download (http://sourceforge.net/projects/surprise-mltk) | Example Images

Table of contents

Bayesian Surprise Matlab Toolkit Home

The Bayesian Surprise Matlab Toolkit is a prototyping package for Matlab users to try out and play with Bayesian Surprise (http://ilab.usc.edu/surprise/). A C++ version is forthcoming and will reflect the state of development of the Matlab toolkit. To download visit our web page at source forge (http://sourceforge.net/projects/surprise-mltk/)

Bayesian Surprise Overview

Surprise_Matlab_Toolkit_Basic_Ovewview General information about Bayesian Surprise

Getting Started How-to

Surprise_Matlab_Toolkit_How_To_Use How to get started using the Bayesian Surprise Toolkit

General Reference

Surprise_Matlab_Toolkit_Basic_Reference General Reference on the Bayesian Surprise Toolkit

Download

Download (http://sourceforge.net/projects/surprise-mltk) Download the Bayesian Surprise Toolkit from Source Forge

Example Images

Surprise_Matlab_Toolkit_Images Example images from different runs of the surprise toolkit

References

  1. L. Itti & P. Baldi, Proc. IEEE-CVPR, 2005 (http://ilab.usc.edu/publications/Itti_Baldi05cvpr.html)
  2. L. Itti & P. Baldi, Proc. NIPS, 2006 (http://ilab.usc.edu/publications/Itti_Baldi06nips.html)
  3. W. Einhaeuser, T. N. Mundhenk, P. Baldi, C. Koch, L. Itti, JoV 2007 (http://ilab.usc.edu/publications/Einhaeuser_etal07jov.html)

External Links

  1. Bayesian Surprise Toolkit for Matlab Download at Source Forge (http://sourceforge.net/projects/surprise-mltk/)
  2. iLab Formal Theory of Surprise Web Page (http://ilab.usc.edu/surprise/)

Comments?

Feel free to place comments on this page in the discussion section for this page. Also, comments on the Toolkit can be added at the Source Forge web site for the Bayesian Surprise Matlab Toolkit (http://sourceforge.net/projects/surprise-mltk) in the Forums section (http://sourceforge.net/forum/?group_id=191005).


Copyright © 2009 by the University of Southern California, iLab and T. Nathan Mundhenk (http://www.mundhenk.com). All Rights Reserved.