Algorithms for Sparsity-Constrained Optimization
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 o...
|Main Author:||Bahmani, Sohail.|
|Corporate Author:||SpringerLink (Online service)|
Springer International Publishing :
Springer Theses, Recognizing Outstanding Ph.D. Research,
No Tags, Be the first to tag this record!