ECE 544NA
TOPICS IN SIGNAL PROCESSING:
STATISTICAL LEARNING AND PATTERN RECOGNITION
FALL 2015
Announcements
HW 3 Solution Uploaded
Course Information
Course hand out: PDF. Includes syllabus, grading, prerequisites and course contents
Class time and place: 1100 - 1220 TR, 2015 Electrical Engineering Building
Instructor:
Prof. Pierre Moulin 2265 Beckman Institute. Email: moulin at ifp dot uiuc dot edu
Office Hours: 1000-1130 Wednesdays, 2265 Beckman Institute
Teaching Assistant:
Patrick Johnstone: prjohns2 at illinois dot edu
Office Hours: 1600-1730 Mondays, 2259 Beckman Institute
Reading Material
Project Information
Lecture Notes:
Lecture 1: August 25th. Intro
Lecture 2: August 27th. Classification Rules
Lecture 3: September 1st. Empirical Risk Minimization
Lecture 4: September 3rd. Gaussian MPE Classification
Lectures 5, 6: Sep. 8th and 10th. Nearest Neighbor
Lectures 8,9, 10: Sep. 17th, 22th, 24th. Linear Discriminant Functions
Lectures 11,12,13: Oct. 6th, 13th, 15th. SVM
Lectures 14 and 15: Oct. 20th, 22nd. Logistic Regression
Lectures 16 and 17: Oct. 27th, 29th. Model Order Selection and Regularization
Lectures on Expectation Maximization
Lectures 18 and 19: Nov. 3rd and 5th. Neural Nets
Lecture 20: Nov. 10th. Boosting
ECE561 Notes: (P. Moulin and V. Veeravalli 2013)
Chapter 1: Introduction
Chapter 9: Bayesian Estimation
Chapter 12: Maximum Likelihood Estimation