Dictionary Learning Algorithms and Applications

This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD,...

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Bibliographic Details
Main Authors: Dumitrescu, Bogdan (Author), Irofti, Paul (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Subjects:
Signal processing.
Engineering mathematics.
Engineering > Data processing.
Electronic circuits.
Computer networks .
Signal, Speech and Image Processing.
Mathematical and Computational Engineering Applications.
Electronic Circuits and Systems.
Computer Communication Networks.
Online Access:Full-text access
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Table of Contents:
  • Chapter1: Sparse representations
  • Chapter2: Dictionary learning problem
  • Chapter3: Standard algorithms
  • Chapter4: Regularization and incoherence
  • Chapter5: Other views on the DL problem
  • Chapter6: Optimizing dictionary size
  • Chapter7: Structured dictionaries
  • Chapter8: Classification
  • Chapter9: Kernel dictionary learning
  • Chapter10: Cosparse representations.

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