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Dictionary Learning Algorithms and Applications

Name: Dictionary Learning Algorithms and Applications
Brand: Springer Nature Switzerland AG
SKU: 9783030087616
Price: 608.51 RON
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Autor: Bogdan Dumitrescu, Paul Irofti

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Editura: Springer Nature Switzerland AG

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This book covers all the relevant dictionary learning algorithms, presenting them in full detail and...

Informații despre carte

Autor

Bogdan Dumitrescu, Paul Irofti

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

284

EAN

9783030087616

ISBN

9783030087616

Enbook ID

22576917

Editura

Springer Nature Switzerland AG

Greutate

462

Dimensiuni

155 x 235 x 17

Descriere completă

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, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification. Several types of dictionary structures are treated, including shift invariant; orthogonal blocks or factored dictionaries; and separable dictionaries for multidimensional signals. Nonlinear extensions such as kernel dictionary learning can also be found in the book. The discussion of all these dictionary types and algorithms is enriched with a thorough numerical comparison on several classic problems, thus showing the strengths and weaknesses of each algorithm. A few selected applications, related to classification, denoising and compression, complete the view on the capabilities of the presented dictionary learning algorithms. The book is accompanied by code for all algorithms and for reproducing most tables and figures.

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Dictionary Learning Algorithms and Applications

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