國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Dictionary learning algorithms and a...

Dumitrescu, Bogdan.

Dictionary learning algorithms and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dictionary learning algorithms and applicationsby Bogdan Dumitrescu, Paul Irofti.
作者:	Dumitrescu, Bogdan.
其他作者:	Irofti, Paul.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xiv, 284 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Algorithms.
電子資源:	http://dx.doi.org/10.1007/978-3-319-78674-2
ISBN:	9783319786742$q(electronic bk.)

Dictionary learning algorithms and applications
Dumitrescu, Bogdan.

Dictionary learning algorithms and applications[electronic resource] /by Bogdan Dumitrescu, Paul Irofti. - Cham :Springer International Publishing :2018. - xiv, 284 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319786742$q(electronic bk.)

Standard No.: 10.1007/978-3-319-78674-2doiSubjects--Topical Terms:

184661
Algorithms.

LC Class. No.: QA9.58 / .D85 2018

Dewey Class. No.: 518.1

Dictionary learning algorithms and applications
LDR:02985nmm a2200337 a 4500 001 537777
003 DE-He213
005 20181112143208.0
006 m d
007 cr nn 008maaau
008 190116s2018 gw s 0 eng d
020 $a 9783319786742$q(electronic bk.)
020 $a 9783319786735$q(paper)
024 7 $a 10.1007/978-3-319-78674-2 $2 doi
035 $a 978-3-319-78674-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA9.58 $b .D85 2018
072 7 $a TTBM $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a COM073000 $2 bisacsh
082 0 4 $a 518.1 $2 23
090 $a QA9.58 $b .D888 2018
100 1 $a Dumitrescu, Bogdan. $3 775777
245 1 0 $a Dictionary learning algorithms and applications $h [electronic resource] / $c by Bogdan Dumitrescu, Paul Irofti.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xiv, 284 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Algorithms. $3 184661
650 0 $a Computer algorithms. $3 184478
650 0 $a Composite applications (Computer science) $3 814891
650 1 4 $a Engineering. $3 210888
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Mathematical and Computational Engineering. $3 775095
650 2 4 $a Circuits and Systems. $3 274416
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Information Systems and Communication Service. $3 274025
700 1 $a Irofti, Paul. $3 814890
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-78674-2
950 $a Engineering (Springer-11647)