Studies in Computational Intelligence

Subspace Methods for Pattern Recognition in Intelligent Environment

Editors: Chen, Yen-Wei, Jain, Lakhmi C. (Eds.)

Free Preview
  • Latest research on the theoretical foundations and applications of subspace methods for pattern recognition using intelligent techniques

Buy this book

eBook 95,19 €
price for Spain (gross)
  • ISBN 978-3-642-54851-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-642-54850-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 116,63 €
price for Spain (gross)
  • ISBN 978-3-662-50190-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

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.

Table of contents (8 chapters)

Table of contents (8 chapters)
  • Active Shape Model and Its Application to Face Alignment

    Lu, Huchuan (et al.)

    Pages 1-31

  • Condition Relaxation in Conditional Statistical Shape Models

    Oost, Elco (et al.)

    Pages 33-56

  • Independent Component Analysis and Its Application to Classification of High-resolution Remote Sensing Images

    Zeng, Xiang-Yan (et al.)

    Pages 57-81

  • Subspace Construction from Artificially Generated Images for Traffic Sign Recognition

    Ishida, Hiroyuki (et al.)

    Pages 83-104

  • Local Structure Preserving Based Subspace Analysis Methods and Applications

    Cheng, Jian (et al.)

    Pages 105-121

Buy this book

eBook 95,19 €
price for Spain (gross)
  • ISBN 978-3-642-54851-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-642-54850-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 116,63 €
price for Spain (gross)
  • ISBN 978-3-662-50190-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Subspace Methods for Pattern Recognition in Intelligent Environment
Editors
  • Yen-Wei Chen
  • Lakhmi C. Jain
Series Title
Studies in Computational Intelligence
Series Volume
552
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-54851-2
DOI
10.1007/978-3-642-54851-2
Hardcover ISBN
978-3-642-54850-5
Softcover ISBN
978-3-662-50190-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVI, 199
Number of Illustrations
47 b/w illustrations, 52 illustrations in colour
Topics