This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.
ISBN: | 9783319018805 |
Publication date: | 18th October 2013 |
Author: | Sohail Bahmani |
Publisher: | Springer an imprint of Springer International Publishing |
Format: | Hardback |
Pagination: | 107 pages |
Series: | Springer Theses |
Genres: |
Electronics engineering Computer vision Digital signal processing (DSP) Mathematical theory of computation |