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Books > Computing & IT > Computer communications & networking
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Dictionary Learning Algorithms and Applications (Hardcover, 1st ed. 2018)
Loot Price: R4,607
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Dictionary Learning Algorithms and Applications (Hardcover, 1st ed. 2018)
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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. Presents
all relevant dictionary learning algorithms - for the standard
problem and its main variations - in detail and ready for
implementation; Covers all dictionary structures that are
meaningful in applications; Examines the numerical properties of
the algorithms and shows how to choose the appropriate dictionary
learning algorithm.
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