1. Boosting
2. Sliding window

/*

(1) object detector with boosting: 
http://people.csail.mit.edu/torralba/shortCourseRLOC/boosting/boosting.html 

*/

Clustering

1. Study k-means clustering algorithm and the algorithmic steps for k-means clustering.
2. Download (or clone) the clustering skeleton code here
3. Implement k-means clustering algorithm working in RGB space by following the algorithmic steps. You are welcome to implement from scratch without skeleton code.
4. Test your algorithm on segmenting the image segmentation.jpg using k=3
5. Try different random initialization and show corresponding results.
6. Comment on your different segmentation results.

Object Recognition

1. Study the bag-of-words approach for classification/Recognition task
2. We begin with implementing a simple but powerful recognition system to classify faces and cars.

ECE4580 Learning Modules