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portada Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
Type
Physical Book
Publisher
Author
Language
English
Pages
215
Format
Paperback
ISBN13
9783662501900
Edition No.
1

Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)

Chen Yen-Wei,C. Jain Lakhmi (Author) · Springer · Paperback

Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552) - Chen Yen-Wei,C. Jain Lakhmi

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Synopsis "Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)"

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.

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