Schedule
| Date | Topics | Lectures | Homeworks |
|---|---|---|---|
| 8/29 |
Introduction
|
Slides, Video
|
|
| 8/31 |
Linear Algebra 1
|
Slides, Video
|
|
| 9/5 |
Linear Algebra 2
|
Slides, Video
|
HW 1 release |
| 9/7 |
Optimization
|
Slides, Video
|
|
| 9/12 |
Deterministic Representations
|
Slides, Video
|
|
| 9/14 |
Data-Driven Representations
|
Slides, Video
|
|
| 9/19 |
Classification and Metaclassifier
|
Slides, Video
|
|
| 9/21 |
Face Detection
|
Slides, Video
|
HW 2 release |
| 9/26 |
Non-Negative Matrix Factorization
|
Slides, Video
|
|
| 9/28 |
Probability and Information Theory
|
Slides, Video
|
|
| 10/3 |
Independent Component Analysis
|
Slides, Video
|
|
| 10/5 |
Clustering
|
Slides, Video
|
|
| 10/10 |
Sparse and Overcomplete Representations
|
Slides, Video
|
HW 3 release |
| 10/12 |
Regression and Prediction
|
Slides, Video
|
|
| 10/17 |
No Class
|
-
|
|
| 10/19 |
No Class
|
-
|
|
| 10/24 |
Time series prediction
|
Slides, Video
|
|
| 10/26 |
Compressive Sensing
|
Slides, Video
|
|
| 10/31 |
Linear Classifiers: SVM
|
Slides, Video
|
|
| 11/2 |
Expectation Maximization 1
|
Slides, Video
|
HW 4 release |
| 11/7 |
No Class
|
-
|
|
| 11/9 |
Expectation Maximization 2
|
Slides, Video
|
|
| 11/14 |
Factor Analysis
|
Slides, Video
|
|
| 11/16 |
Supervised Representation
|
Slides, Video
|
|
| 11/21 |
Hidden Markov Models 1
|
Slides, Video
|
|
| 11/24 |
No Class
|
-
|
|
| 11/28 |
Hidden Markov Models 2
|
Slides, Video
|
|
| 11/30 |
Non-Linear Dynamical Systems
|
Slides, Video
|
|
| 12/5 |
Kalman Filtering 1
|
Slides, Video
|
|
| 12/7 |
Kalman Filtering 2
|
Slides, Video
|
|