Topics in Statistical Pattern Recognition
3.0
creditsAverage Course Rating
The Dissimilarity Representation for Pattern Recognition. This course will investigate aspects of statistical inference and statistical pattern recognition associated with observing only dissimilarites between entities rather than observing feature vectors associated with the individual entities themselves.
Spring 2014
Professor: Carey Priebe
The best aspects of this course were the interesting material, the thought-provoking and flexible lectures, and an insightful and enthusiastic instructor. The class was led as a discussion, and students guided the direction of the class. While many students found this invigorating, some thought it detracted from the class and made lectures seem haphazard. Suggestions for improving the course included a more systematic structure to the semester and better feedback on projects. Prospective students should come into the course with an open mind and a genuine interest in the subject. This course and instructor are highly recommended.