 |
 |
||
 |
 |
 |
 |
|
|
||
|
|
|
|
Below, we provide source code for different topics covered (or to be covered) in class. Each archive includes (1) C source code, (2) README file with compile instructions, explanations and examples, (3) sample data/sample results. The compile instructions assume that you have access to the 'make' utility; also paths are specified using the Unix/Linux convention (forward slash /).
| Description | Compressed archive |
| Mixture-of-Gaussians modeling (EM) | zip archive (2.5 Mb) tgz archive (2.5 Mb) |
| Vector quantization | zip archive (344 kb) tgz archive (332 kb) |
| Discrete hidden Markov modeling (HMMs) | zip archive (224 kb) tgz archive (216 kb) |
| Multilayer perceptron neural networks | zip archive (184 kb) tgz archive (188 kb) |
| Image segmentation utility | zip archive (206 kb) tgz archive (189 kb) |
| Gaussian color segmentation examples | zip archive (500 kb) tgz archive (472 kb) |