Subspace Methods for Pattern Recognition in Intelligent Environment

Language: English

Published by Springer, Springer Sep 2016, 2016

3662501902 / 9783662501900

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.

Seller Inventory # 9783662501900

Title
Subspace Methods for Pattern Recognition in Intelligent Environment
Author
Yen-Wei Chen
Publisher
Springer, Springer Sep 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3662501902
ISBN 13
9783662501900
Item weight
335 grams
Dimensions
235x155x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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