Coverart for item
The Resource Subspace methods for pattern recognition in intelligent environment, Yen-Wei Chen, Lakhmi C. Jain, editors, (electronic book)

Subspace methods for pattern recognition in intelligent environment, Yen-Wei Chen, Lakhmi C. Jain, editors, (electronic book)

Label
Subspace methods for pattern recognition in intelligent environment
Title
Subspace methods for pattern recognition in intelligent environment
Statement of responsibility
Yen-Wei Chen, Lakhmi C. Jain, editors
Contributor
Editor of compilation
Subject
Language
eng
Summary
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis
Member of
Cataloging source
GW5XE
Dewey number
006.4
Illustrations
illustrations
Index
index present
LC call number
Q337.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Chen, Yen-Wei
  • Jain, L. C.
Series statement
Studies in Computational Intelligence,
Series volume
volume 552
http://library.link/vocab/subjectName
  • Pattern recognition systems
  • Computer vision
Label
Subspace methods for pattern recognition in intelligent environment, Yen-Wei Chen, Lakhmi C. Jain, editors, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Color
multicolored
Contents
Active Shape Model and Its Application to Face Alignment -- Condition Relaxation in Conditional Statistical Shape Models -- ?Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images -- Subspace Construction from Artificially Generated Images for Traffic Sign Recognition -- Local Structure Preserving based Subspace Analysis Methods and Applications -- Sparse Representation for Image Super-Resolution -- Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications -- Tensor-Based Subspace Learning for Multi-Pose Face Synthesis
Control code
SPR877822971
Dimensions
unknown
Extent
1 online resource (xvi, 199 pages)
File format
unknown
Form of item
online
Isbn
9783642548512
Level of compression
unknown
Other control number
10.1007/978-3-642-54851-2
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote
Label
Subspace methods for pattern recognition in intelligent environment, Yen-Wei Chen, Lakhmi C. Jain, editors, (electronic book)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Color
multicolored
Contents
Active Shape Model and Its Application to Face Alignment -- Condition Relaxation in Conditional Statistical Shape Models -- ?Independent Component Analysis and Its Application to Classification of High-Resolution Remote Sensing Images -- Subspace Construction from Artificially Generated Images for Traffic Sign Recognition -- Local Structure Preserving based Subspace Analysis Methods and Applications -- Sparse Representation for Image Super-Resolution -- Sampling and Recovery of Continuously-Defined Sparse Signals and Its Applications -- Tensor-Based Subspace Learning for Multi-Pose Face Synthesis
Control code
SPR877822971
Dimensions
unknown
Extent
1 online resource (xvi, 199 pages)
File format
unknown
Form of item
online
Isbn
9783642548512
Level of compression
unknown
Other control number
10.1007/978-3-642-54851-2
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Reproduction note
Electronic resource.
Sound
unknown sound
Specific material designation
remote

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