Suject Code: EIE 522
This course offers an up-to-date review of the state of the art in pattern recognition. In particular, it outlines the need for pattern recognition, its different algorithms, decision theoretic, syntactic, and neural network approaches including learning algorithms, and different classical image processing and character recognition techniques. The course will emphasize practical techniques for implementing useful pattern recognition systems. It will also provide a base for practice and progress in matters related to research.
Because of the poor conditions of
the classroom W210, we will move to the following classrooms for our
Supplementary Test 2:
If your score in Test 2 is lower than 50, you may seat for this supplementary
test. However, you must attend a tutorial so that you are allowed to
take this test.
Teaching schedule: Please click here to obtain the updated teaching schedule.
|Correlation, CMean, LDA|
Lab 1: Statistical Pattern Recognition
Every Monday: 8:00pm - 10:00pm
Additional Consultation Hours:
|Teaching schedule: Please click here to obtain the teaching schedule.|