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: | 9783319377193 |
| Publication date: | 23rd August 2016 |
| Author: | Sohail Bahmani |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 107 pages |
| Series: | Springer Theses |
| Genres: |
Electronics engineering Computer vision Digital signal processing (DSP) Mathematical theory of computation |