TENTATIVE EEL 6825 COURSE OUTLINE
AUG 23 L01 Introduction
AUG 25 L02 Bayes Decision Rule, 1D example, Bayes error is optimal
AUG 27 L03 Univariate Normal, multivariate, covariance matrix,
eigenvectors/values
AUG 30 L04 Mahalanobis distance, plotting equiprob distributions,
linear transforms.
SEP 01 L05 General quadratic decision boundaries
sigma_i same => linear boundaries
SEP 03 L06 How to compute and estimate error, Bhatacharrya bound
SEP 06 NO CLASS -- LABOR DAY
SEP 08 L07 Review HW#1 questions, generating random Gaussian data,
review linear transforms, Orthonormal transform,
distance is preserved
SEP 10 L08 HW #1 Due,
whitening, distance is not preserved
simultaneous diagonalization
SEP 13 L09 Maximum Liklihood estimates of mean and variance
bias, consistency
SEP 15 NO CLASS -- HURRICANE FLOYD!
SEP 17 L10 Finish max liklihood, MAP
SEP 20 L11 Bayesian Estimation
SEP 22 L12 Introductions to Linear Classifiers, geometric interp.
SEP 24 L13 HW#2 due, Fisher Criterion
extend Fisher to multi-dim
nonlinear features
quadratic classifier
SEP 27 L14 Marc Boillot guest lecture
SEP 29 L15 Linear classifiers
OCT 01 L16 resubstitution, hold-out, leave-one-out
test set vs. training set
bad use of test and training
How much data do you need?
how much data for classifier, for estimating error?
OCT 04 L17 Review for exam 1
OCT 06 Exam I
OCT 08 L18 Parzen Windows
OCT 11 L19 Parzen Windows, 1-NN
OCT 13 L20 1-NN, K-NN
OCT 15 L21 Go over Exam I
OCT 18 L22 Neural Networks 1
OCT 20 L23 Neural Networks 2 (Principe)
OCT 22 L24 HW#3 due (KL, Parzen,k-NN) due, Neural Networks 3 (Principe)
OCT 25 L25 Neural Networks 4 (Principe)
OCT 27 L26 Neural Networks 5 (Principe)
OCT 29 L27 Neural Networks 6 (Principe)
NOV 01 L28 Finish Neural Networks, discuss final projects
NOV 03 L29 KL dimensionality reduction
NOV 05 NO CLASS Homecoming
NOV 08 L30 KL dimensionality reduction summary and examples
NOV 10 L31 HW questions
NOV 12 L32 HW #4 DUE (neural networks, K-L), individual meetings
NOV 15 L33 Review for Exam II
NOV 17 EXAM II
NOV 19 L34 speech processing
NOV 22 L35 Hand back exams
NOV 24 NO CLASS THANKSGIVING
NOV 26 NO CLASS THANKSGIVING
NOV 29 L36 FINAL PROJECTS
DEC 01 L37 FINAL PROJECTS
DEC 03 L38 FINAL PROJECTS
DEC 06 L39 FINAL PROJECTS
DEC 08 L40 FINAL PROJECTS