Methods for L_p-L_q Minimization in Image Restoration and Regression - SIAM-IS Seminar

Methods for L_p-L_q Minimization in Image Restoration and Regression - SIAM-IS Seminar

Society for Industrial and Applied Mathematics via YouTube Direct link

Introduction

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1 of 19

Introduction

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Classroom Contents

Methods for L_p-L_q Minimization in Image Restoration and Regression - SIAM-IS Seminar

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  1. 1 Introduction
  2. 2 Overview
  3. 3 Problem
  4. 4 lasso method
  5. 5 norms
  6. 6 nonnegative pixels
  7. 7 Outline
  8. 8 Starting Point
  9. 9 Smooth Function
  10. 10 Adaptive Measurement
  11. 11 Convergence
  12. 12 Example
  13. 13 Crossvalidation
  14. 14 Sparse Representation
  15. 15 Tensor Products
  16. 16 Modulus iterative method
  17. 17 Relative error
  18. 18 Applications
  19. 19 Questions

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