Completed
Introduction
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Methods for L_p-L_q Minimization in Image Restoration and Regression - SIAM-IS Seminar
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Overview
- 3 Problem
- 4 lasso method
- 5 norms
- 6 nonnegative pixels
- 7 Outline
- 8 Starting Point
- 9 Smooth Function
- 10 Adaptive Measurement
- 11 Convergence
- 12 Example
- 13 Crossvalidation
- 14 Sparse Representation
- 15 Tensor Products
- 16 Modulus iterative method
- 17 Relative error
- 18 Applications
- 19 Questions
