Computers & Internet Books:

Subspace Methods for Pattern Recognition in Intelligent Environment

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Paperback / softback
$293.00
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Description

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.
Release date NZ
September 3rd, 2016
Contributors
  • Edited by Lakhmi C. Jain
  • Edited by Yen-Wei Chen
Pages
199
Edition
Softcover reprint of the original 1st ed. 2014
Audience
  • Professional & Vocational
Illustrations
52 Illustrations, color; 47 Illustrations, black and white; XVI, 199 p. 99 illus., 52 illus. in color.
Dimensions
155x235x12
ISBN-13
9783662501900
Product ID
25850267

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