Schedule
| Date | Topics | Lectures | Homeworks |
|---|---|---|---|
| 8/27 |
Introduction
|
Slides, Video
|
|
| 8/29 |
Linear Algebra 1
|
Slides, Video
|
|
| 9/3 |
Linear Algebra 2
|
Slides, Video
|
HW 1 Release |
| 9/5 |
Optimization
|
Slides, Video
|
|
| 9/10 |
Deterministic Representations
|
Slides, Video
|
|
| 9/12 |
Data-Driven Representations
|
Slides, Video
|
|
| 9/17 |
Classification and Metaclassifier
|
Slides, Video
|
|
| 9/19 |
Face Detection
|
Slides, Video
|
HW 1 Deadline |
| 9/24 |
Non-Negative Matrix Factorization
|
Slides, Video
|
HW 2 Release |
| 9/26 |
Probability and Information Theory
|
Slides, Video
|
|
| 10/1 |
Independent Component Analysis
|
Slides, Video
|
|
| 10/3 |
Clustering
|
Slides, Video
|
|
| 10/8 |
Dictionary Representations
|
Slides, Video
|
|
| 10/10 |
Guest Lecture: Compressive Sensing
|
Slides, Video
|
HW 2 Deadline |
| 10/15 |
No Class
|
-
|
HW 3 Release |
| 10/17 |
No Class
|
-
|
|
| 10/22 |
Sparse and Overcomplete Representations
|
Slides, Video
|
|
| 10/24 |
Regression and Prediction
|
Slides, Video
|
|
| 10/29 |
Linear Classifier
|
Slides, Video
|
|
| 10/31 |
Expectation Maximization 1
|
Slides, Video
|
|
| 11/5 |
No Class
|
-
|
HW 3 Deadline |
| 11/7 |
Expectation Maximization 2
|
Slides, Video
|
HW 4 Release |
| 11/12 |
Factor Analysis
|
Slides, Video
|
|
| 11/14 |
Supervised Representation
|
Slides, Video
|
|
| 11/19 |
Hidden Markov Models 1
|
Slides, Video
|
|
| 11/21 |
Hidden Markov Models 2
|
Slides, Video
|
|
| 11/26 |
Auto Regressive Mode
|
Slides, Video
|
HW 4 Deadline |
| 11/28 |
No Class
|
-
|
|
| 12/3 |
Kalman Filtering 1
|
Slides, Video
|
|
| 12/5 |
Kalman Filtering 2
|
Slides, Video
|
|
| 12/10 |
Particle Filtering
|
Slides, Video
|
|
| 12/12 |
Time to Predict Very Rare Events
|
Slides, Video
|
|
| 12/18 |
COURSE GRADES DUE
|
C A N V A S :)
|
|