Lecture and Assignments for CS 175: Project in Artificial Intelligence

Fall 2007

Note that the schedule below is approximate and subject to change

Week	Lecture Topics	Lecture Slides and Files	Assignments
0: Sept 27	Introduction: Face Recognition. Introduction to MATLAB.	Slides 1: Introduction Face Image used in Slides 1 (binary .mat file)	Assignment 1
1: Oct 2	Programming in MATLAB. Introduction to classification algorithms: nearest-neighbor classifiers.	Slides 2: Programming in MATLAB MATLAB examples from Lecture 2 Slides 3: Introduction to Classification	Assignment 2
2: Oct 9	Linear classification algorithms and perceptrons	Slides 4: Discussion of Assignnment 1, Linear Classifiers and Perceptrons Slides 5: Linear Classifiers and Perceptron Learning	Assignment 3
3: Oct 16	Perceptrons continued Basic concepts in image analysis and computer vision	Assignment 2 Review Notes on Gradient Descent Slides 6: Introduction to Image Analysis MATLAB code for image display
4: Oct 23	Minimum-distance classifier Evaluating classifiers using cross-validation	Slides 7: Image Analysis and Classification Slides 8: Cross-validation MATLABdemocode	Assignment 4
5: Oct 30	Signal and image filtering methods Edge-detection and template matching Project guidelines and project proposals	Slides 9: Filtering, Edge Detection, and Template Matching Slides 10: Project Proposals	Assignment 5 Project Proposal Instructions
6: Nov 6	Tuesday: More discussion on projects and discussion of real-world face recognition systems Thursday: No lecture in MST. Instead we will have open office hours in BH 4212, 9:30 to 11, for students who wish to discuss project ideas.
7: Nov 13	Project feedback and discussion Face detection using the Viola-Jones algorithm	Slides 11: Project Proposal Discussion Slides 12: Viola-Jones Face Detector MATLAB code for Projects
8: Nov 20	Eigenimage methods Note: no class Thursday, Thanksgiving holiday	Slides 13: Eigenimage Methods	Project Progress Reports (due Monday Nov 26)
9: Nov 27	Project feedback and discussion Clustering algorithms	Slides 14: Project Feedback Slides 15: Clustering Algorithms
10: Dec 4	Note: no class on Tuesday Thursday Dec 6th: In-class project presentations		REMINDER: upload your slides to EEE by 9am Thursday Dec 6th!
Dec 11, Finals Week	Final report due	Instructions for Final Project Report