The Resource Multilinear subspace learning : dimensionality reduction of multidimensional data, Haiping Lu, K.N. Plataniotis, A.N. Venetsanopoulos

Multilinear subspace learning : dimensionality reduction of multidimensional data, Haiping Lu, K.N. Plataniotis, A.N. Venetsanopoulos

Label
Multilinear subspace learning : dimensionality reduction of multidimensional data
Title
Multilinear subspace learning
Title remainder
dimensionality reduction of multidimensional data
Statement of responsibility
Haiping Lu, K.N. Plataniotis, A.N. Venetsanopoulos
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
"Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniques. Addressing this need, multilinear subspace learning (MSL) reduces the dimensionality of big data directly from its natural multidimensional representation, a tensor. Multilinear subspace learning : dimensionality reduction of multidimensional data gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality reduction of multidimensional data based on tensors. It covers the fundamentals, algorithms, and applications of MSL. Emphasizing essential concepts and system-level perspectives, the authors provide a foundation for solving many of today's most interesting and challenging problems in big multidimensional data processing. They trace the history of MSL, detail recent advances, and explore future developments and emerging applications.The book follows a unifying MSL framework formulation to systematically derive representative MSL algorithms. It describes various applications of the algorithms, along with their pseudocode. Implementation tips help practitioners in further development, evaluation, and application. The book also provides researchers with useful theoretical information on big multidimensional data in machine learning and pattern recognition. MATLAB source code, data, and other materials are available at www.comp.hkbu.edu.hk/~haiping/MSL.html"--
Member of
Assigning source
Provided by publisher
Cataloging source
FlBoTFG
http://library.link/vocab/creatorName
Lu, Haiping
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1941-
http://library.link/vocab/relatedWorkOrContributorName
  • Plataniotis, Konstantinos N.
  • Venetsanopoulos, A. N.
  • ENGnetBASE
Series statement
Chapman & Hall/CRC machine learning & pattern recognition series
http://library.link/vocab/subjectName
  • Data compression (Computer science)
  • Big data
  • Multilinear algebra
Label
Multilinear subspace learning : dimensionality reduction of multidimensional data, Haiping Lu, K.N. Plataniotis, A.N. Venetsanopoulos
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 231-261) and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
1. Fundamentals and foundations -- 2. Algorithms and applications
Extent
1 online resource
Form of item
online
Isbn
9781439857298
Media category
computer
Media MARC source
rdamedia
Other physical details
text file, PDF
Specific material designation
remote
System control number
(FlBoTFG)CAH0KE12717PDF
Label
Multilinear subspace learning : dimensionality reduction of multidimensional data, Haiping Lu, K.N. Plataniotis, A.N. Venetsanopoulos
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 231-261) and index
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
1. Fundamentals and foundations -- 2. Algorithms and applications
Extent
1 online resource
Form of item
online
Isbn
9781439857298
Media category
computer
Media MARC source
rdamedia
Other physical details
text file, PDF
Specific material designation
remote
System control number
(FlBoTFG)CAH0KE12717PDF

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