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Introduction
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Classroom Contents
Optimization in Signal Processing and Machine Learning
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- 1 Introduction
- 2 Welcome
- 3 What is optimization
- 4 Experiment
- 5 Setup
- 6 Optimization Problem
- 7 Questions
- 8 Sign permutation symmetry
- 9 Matlab
- 10 Overcomplete dictionaries
- 11 Practice gap
- 12 How can we understand
- 13 Nonconvex optimization
- 14 Local geometry
- 15 Dictionary learning
- 16 Objective function
- 17 Geometric intuition
- 18 Blind Deconvolution
- 19 Local perturbations
- 20 Simulation results
- 21 Theory
- 22 Geometric Theorem
