Algorithms for Sparsity-Constrained Optimization

• Κύριος συγγραφέας: Bahmani, Sohail (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research, 261
• Θέματα: Engineering.; Image processing.; Computer science > Mathematics.; Computer mathematics.; Signal, Image and Speech Processing.; Mathematical Applications in Computer Science.; Image Processing and Computer Vision.

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...