 |


- Signals and Systems (6.003)
- Familiarity with linear algebra (18.06) and probability (6.041)
- Machine Vision (6.801/6.866)
- Some Matlab experience
|
The textbook is available at Quantum Books: |
- Two take-home exams
- Five problem sets with lab exercises in Matlab
- No final exam
- Final project
|
Problem sets may be discussed, but all written work and coding must be done individually. Take-home exams may
not be discussed. Individuals found submitting duplicate or substantially similar materials due to
inappropriate collaboration may get an F in this class and other sanctions.
The final project may be
|
- An original implementation of a new or published idea
- A detailed empirical evaluation of an existing implementation of one or more methods
- A paper comparing three or more papers not covered in class, or surveying recent literature in a particular area
|
A project proposal not longer than two pages must be submitted by March 31st. |
home |
syllabus |
problem sets and exams |
grading and requirements |
internet resources
This site is maintained by Xiaoxu Ma .
|