Advices about reading/presenting/writing
- How to Get Your SIGGRAPH Paper Rejected, Jim Kajiya, SIGGRAPH 1993 Papers
- "How to Read a Research Paper" by Spencer Rugaber. [link]
- "How to Present a Paper" by Ashwin Ram. [link]
- "You and Your Research," Dr. Richard W. Hamming, March 7, 1986.
- Prof. David Patterson's talks on career in research and academia. [link]
- more resources here
Matlab is recommended for programming and demonstration in this class although
use of other languages like Java or C++ is also welcome. The Unix workstations
in the AcIS Engineering Terrace (215 Mudd) are installed with Matlab. You may
run the Matlab program on AcIS CUNIX machines by using "ssh -l user-name
cunix.cc.columbia.edu" and then run 'matlab'. The program resides on /opt/local/bin/matlab'.
More information about Matlab license on CUNIX machines is available at CUNIX
Students interested in taking the MATLAB course may consider the following
COMS W3101, Section 004: PROGRAMMING LANGUAGES (MATLAB)
You can also buy a "student edition" of Matlab from the Mathworks.
You will need Image Processing Toolbox and Statistics Toolbox in order to use
many pre-defined functions. Make sure to check the version numbers of the software
when searching for specific functions.
- Tutorials on Matlab
- excellent Matlab tutorial from Utah Geo department [link]
- Introducing Matlab [link]
- A demo of image processing in Matlab [link]
- Getting Started with Matlab, by the Mathworks. [link]
- UNH Matlab Tutorial [link]
- US Navy Matlab Tutorial [link]
- MTU Introduction to Matlab [link]
- Mathworks' Matlab documentation [link]
- Pattern Recognition Tools, PRTools [link]
- Kevin Murphy's software page [link]
- Netlab web site by Bishop and Nabney [link]
- spider machine learning toolbox, GNU software, [link]
- Bayesian Network Editor and Toolkit [link],
a windows enviroment sdk with IDE-like development enviroment
- Chih-Chung Chang and Chih-Jen Lin, LIBSVM: a library for support vector
- kernel machines resrouce site, the portal of SVM [link]
- Graphic Model Tool Kit
Jeff Bilmes and Geoffrey Zweig, "The Graphical Models Toolkit: An Open
Source Software System for Speech and Time-Series Processing," ICASSP
Other Useful Resources:
- Prof. William Freeman's class on "Learning and Inferencing of Vision"
Our class is modeled after the above one, with a different focus on video
analysis/indexing. A list of papers and student presentations in Prof. Freeman's
class is here.
It includes examples of excellent presentations and computer examples.
- How to create your web site?
see instructions at: