Course Information
Lecture: MW 10:00-11:30 AM at Seigle 208
Instructor: Prof. Ulugbek Kamilov
Room: Jolley Hall, Room 204
Email: kamilov@wustl.edu
Office hour: by email appointment.
Syllabus: download (PDF).
Announcements
- Final project presentation schedule has been posted
- Final project report deadline has moved to 5 PM on Friday, 15 Dec 2017.
Lecture Notes
- Week 01 – 06 Sep 2017 – Wednesday – Course Introduction
- Week 02 – 11 Sep 2017 – Monday – Digital Image Processing and Bases and Frames
- Week 02 – 13 Sep 2017 – Wednesday – Transforms
- Week 03 – 18 Sep 2017 – Monday – Underdetermined systems
- Week 03 – 20 Sep 2017 – Wednesday – Algorithmic considerations
- Week 04 – 25 Sep 2017 – Monday – Uncertainty principles
- Week 04 – 27 Sep 2017 – Wednesday – Uncertainty principles (cont)
- Week 05 – 02 Oct 2017 – Monday – Uniqueness of Sparse Solutions
- Week 05 – 04 Oct 2017 – Wednesday – Uniqueness of Sparse Solutions (cont)
- Week 06 – 09 Oct 2017 – Monday – Exact Recovery via Basis Pursuit
- Week 06 – 11 Oct 2017 – Wednesday – Intro to ISTA
- Week 07 – 16 Oct 2017 – Monday – No class due to the Fall break.
- Week 07 – 18 Oct 2017 – Wednesday – Intro to the Bayesian Framework
- Week 08 – 23 Oct 2017 – Monday – Exact Recovery via Basis Pursuit (cont)
- Week 08 – 25 Oct 2017 – Wednesday – Exact Recovery via Basis Pursuit (cont)
- Week 09 – 30 Oct 2017 – Monday – Stability and Robustness
- Week 09 – 01 Nov 2017 – Wednesday – Stability and Robustness (cont)
- Week 10 – 06 Nov 2017 – Monday – Proximal-Gradient Method
- Week 10 – 08 Nov 2017 – Wednesday – Proximal-Gradient Method (cont)
- Week 11 – 13 Nov 2017 – Monday – Fast Proximal-Gradient Method
- Week 11 – 15 Nov 2017 – Wednesday – Fast Proximal-Gradient Method (cont)
- Week 12 – 20 Nov 2017 – Monday – Further Prox-Grad Considerations
- Week 12 – 22 Nov 2017 – Wednesday – No class due to Thanksgiving.
- Week 13 – 27 Nov 2017 – Monday – Backtracking and ADMM
- Week 13 – 29 Nov 2017 – Monday – Backtracking and ADMM (cont)
- Week 14 – 04 Dec 2017 – Monday – Final Presentations – [1] [2] [3] [4]
- Week 14 – 06 Dec 2017 – Wednesday – Final Presentations – [5] [6] [7] [8] [9]
Student Lectures
- Week 03 – 20 Sep 2017 – Wednesday – Greedy algorithms (supplement on CoSaMP)
- Week 04 – 27 Sep 2017 – Wednesday – Finite rate of innovations (FRI)
- Week 05 – 04 Oct 2017 – Wednesday – Iteratively reweighted least squares (IRLS)
- Week 06 – 11 Oct 2017 – Wednesday – Deep Learning via ISTA
- Week 07 – 18 Oct 2017 – Wednesday – Message passing algorithms
- Week 08 – 25 Oct 2017 – Wednesday – Total variation (TV) regularization
- Week 09 – 01 Nov 2017 – Wednesday – Variable splitting techniques
- Week 10 – 08 Nov 2017 – Wednesday – Image superresolution
- Week 11 – 15 Nov 2017 – Wednesday – Non-negative Matrix Factorization (NMF)
- Week 13 – 29 Nov 2017 – Wednesday – Robust PCA