1. Home
  2. Material Detail: Sparsity: algorithms, approximations, and analysis

Material Detail

Sparsity: algorithms, approximations, and analysis

Sparsity: algorithms, approximations, and analysis

This video was recorded at 25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011. The last 15 years we have seen an explosion in the role of sparsity in mathematical signal and image processing, signal and image acquisition and reconstruction algorithms, and myriad applications. It is also central to machine learning. I will present an overview of the mathematical theory and several fundamental algorithmic results, including a fun application to solving Sudoku puzzles.
Keywords:
videolectures, ocwc, oec
Disciplines:
Go to Material 
Bookmark / Add to Course ePortfolio
Create a Learning Exercise
Add Accessibility Information
Rate
Add a Comment

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

Browse...

Disciplines with similar materials as Sparsity: algorithms, approximations, and analysis
People who viewed this also viewed
Other materials like Sparsity: algorithms, approximations, and analysis

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.