Statistical Models for Visual Detection and Recognition
Announcements:
Final Exam Sample
A final exam sample with solution is available on the homework page.
Homework 4
Homework 4 is available on the homework page.
Homework 3
Homework 3 is available on the homework page.
Notes on Dirichlet
A new note on conjugacy for the categorical distribution is available on the syllabus page under Learning and Inference.
Midterm Sample
A midterm exam sample with solution is available on the homework page.
Homework 2
Homework 2 is available on the homework page.
Updated Notes
Notes and slides in section BASIC PROBABILITY of the syllabus page were updated on September 4.
Homework 1
Homework 1 is available on the homework page.
Exams
There is a midterm exam on Thursday, October 2nd, from 10:05am to 11:20am and a final exam on Saturday, December 13, from 2:00pm to 5:00pm. The schedule for the final is set by Duke's Registrar.
Picture adapted from a CNet online article on Apple Computers and Polar Rose
Most photo album applications can automatically detect faces and recognize them against small databases of individuals. Yet general and robust recognition of faces, people, objects, or activities is still a wide open problem. This course explores achievements and challenges in visual detection and recognition from the point of view of machine learning. There will be lectures, class discussion, homework, and homework-sized projects.
The class meets in room D106 of the Levine Science Research Building.
COMPSCI 527, Duke University, Site based on the fluid 960 grid system