000 -LEADER |
fixed length control field |
06339nam a2200805 i 4500 |
001 - CONTROL NUMBER |
control field |
6828191 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
IEEE |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20200413152914.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m eo d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr cn |||m|||a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
140520s2014 caua foab 000 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781627053600 |
Qualifying information |
ebook |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9781627053594 |
Qualifying information |
paperback |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.2200/S00563ED1V01Y201401IVM015 |
Source of number or code |
doi |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(CaBNVSL)swl00403380 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)880357632 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
CaBNVSL |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
CaBNVSL |
Modifying agency |
CaBNVSL |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA1637.5 |
Item number |
.T455 2014 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.6 |
Edition number |
23 |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
|
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
MoCl |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Thiagarajan, Jayaraman Jayaraman., |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Image understanding using sparse representations / |
Statement of responsibility, etc. |
Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan Turaga, Andreas Spanias. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : |
Name of producer, publisher, distributor, manufacturer |
Morgan & Claypool, |
Date of production, publication, distribution, manufacture, or copyright notice |
2014. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 PDF (xi, 106 pages) : |
Other physical details |
illustrations. |
336 ## - CONTENT TYPE |
Content type term |
text |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
electronic |
Source |
isbdmedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Source |
rdacarrier |
490 1# - SERIES STATEMENT |
Series statement |
Synthesis lectures on image, video, and multimedia processing, |
International Standard Serial Number |
1559-8144 ; |
Volume/sequential designation |
# 15 |
538 ## - SYSTEM DETAILS NOTE |
System details note |
Mode of access: World Wide Web. |
538 ## - SYSTEM DETAILS NOTE |
System details note |
System requirements: Adobe Acrobat Reader. |
500 ## - GENERAL NOTE |
General note |
Part of: Synthesis digital library of engineering and computer science. |
500 ## - GENERAL NOTE |
General note |
Series from website. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references (pages 91-104). |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
1. Introduction -- 1.1 Modeling natural images -- 1.2 Natural image statistics -- 1.3 Sparseness in biological vision -- 1.4 The generative model for sparse coding -- 1.5 Sparse models for image reconstruction -- 1.5.1 Dictionary design -- 1.5.2 Example applications -- 1.6 Sparse models for recognition -- 1.6.1 Discriminative dictionaries -- 1.6.2 Bag of words and its generalizations -- 1.6.3 Dictionary design with graph embedding constraints -- 1.6.4 Kernel sparse methods -- |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
2. Sparse representations -- 2.1 The sparsity regularization -- 2.1.1 Other sparsity regularizations -- 2.1.2 Non-negative sparse representations -- 2.2 Geometrical interpretation -- 2.3 Uniqueness of l0 and its equivalence to the l1 solution -- 2.3.1 Phase transitions -- 2.4 Numerical methods for sparse coding -- 2.4.1 Optimality conditions -- 2.4.2 Basis pursuit -- 2.4.3 Greedy pursuit methods -- 2.4.4 Feature-sign search -- 2.4.5 Iterated shrinkage methods -- |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
3. Dictionary learning: theory and algorithms -- 3.1 Dictionary learning and clustering -- 3.1.1 Clustering procedures -- 3.1.2 Probabilistic formulation -- 3.2 Learning algorithms -- 3.2.1 Method of optimal directions -- 3.2.2 K-SVD -- 3.2.3 Multilevel dictionaries -- 3.2.4 Online dictionary learning -- 3.2.5 Learning structured sparse models -- 3.2.6 Sparse coding using examples -- 3.3 Stability and generalizability of learned dictionaries -- 3.3.1 Empirical risk minimization -- 3.3.2 An example case: multilevel dictionary learning -- |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
4. Compressed sensing -- 4.1 Measurement matrix design -- 4.1.1 The restricted isometry property -- 4.1.2 Geometric interpretation -- 4.1.3 Optimized measurements -- 4.2 Compressive sensing of natural images -- 4.3 Video compressive sensing -- 4.3.1 Frame-by-frame compressive recovery -- 4.3.2 Model-based video compressive sensing -- 4.3.3 Direct feature extraction from compressed videos -- |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
5. Sparse models in recognition -- 5.1 A simple classification setup -- 5.2 Discriminative dictionary learning -- 5.3 Sparse-coding-based subspace identification -- 5.4 Using unlabeled data in supervised learning -- 5.5 Generalizing spatial pyramids -- 5.5.1 Supervised dictionary optimization -- 5.6 Locality in sparse models -- 5.6.1 Local sparse coding -- 5.6.2 Dictionary design -- 5.7 Incorporating graph embedding constraints -- 5.7.1 Laplacian sparse coding -- 5.7.2 Local discriminant sparse coding -- 5.8 Kernel methods in sparse coding -- 5.8.1 Kernel sparse representations -- 5.8.2 Kernel dictionaries in representation and discrimination -- 5.8.3 Combining diverse features -- 5.8.4 Application: tumor identification -- |
505 8# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Bibliography -- Authors' biographies. |
506 1# - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
510 0# - CITATION/REFERENCES NOTE |
Name of source |
Compendex |
510 0# - CITATION/REFERENCES NOTE |
Name of source |
INSPEC |
510 0# - CITATION/REFERENCES NOTE |
Name of source |
Google scholar |
510 0# - CITATION/REFERENCES NOTE |
Name of source |
Google book search |
520 3# - SUMMARY, ETC. |
Summary, etc. |
Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification. |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Also available in print. |
588 ## - SOURCE OF DESCRIPTION NOTE |
Source of description note |
Title from PDF title page (viewed on May 20, 2014). |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Image processing |
General subdivision |
Digital techniques |
-- |
Mathematics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Sparse matrices. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Computer vision. |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
sparse representations |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
natural images |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
image reconstruction |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
image recovery |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
image classification |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
dictionary learning |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
clustering |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
compressed sensing |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
kernel methods |
653 ## - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
graph embedding |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ramamurthy, Karthikeyan Natesan., |
Relator term |
author. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Turaga, Pavan., |
Relator term |
author. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Spanias, Andreas., |
Relator term |
author. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Print version: |
International Standard Book Number |
9781627053594 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Synthesis digital library of engineering and computer science. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Synthesis lectures on image, video, and multimedia processing ; |
Volume/sequential designation |
# 15. |
International Standard Serial Number |
1559-8144 |
856 42 - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Abstract with links to resource |
Uniform Resource Identifier |
http://ieeexplore.ieee.org/servlet/opac?bknumber=6828191 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Abstract with links to full text |
Uniform Resource Identifier |
http://dx.doi.org/10.2200/S00563ED1V01Y201401IVM015 |