TY  - BOOK
T1  - Algorithms for Sparsity-Constrained Optimization
T2  - Springer Theses, Recognizing Outstanding Ph.D. Research,
A1  - Bahmani, Sohail
LA  - English
PP  - Cham
PB  - Springer International Publishing : Imprint: Springer
YR  - 2014
UL  - https://catalogo.bibliotecas.unlp.edu.ar/Record/dfi.27682
AB  - 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.
OP  - 107
CN  - TK5102.9
SN  - 9783319018812
KW  - Engineering.
KW  - Image processing.
KW  - Computer science : Mathematics.
KW  - Computer mathematics.
KW  - Signal, Image and Speech Processing.
KW  - Mathematical Applications in Computer Science.
KW  - Image Processing and Computer Vision.
ER  -