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Книга Subspace Methods for Pattern Recognition in Intelligent Environment Lakhmi C. Jain

Subspace Methods for Pattern Recognition in Intelligent Environment

Автор: Lakhmi C. Jain, Yen-Wei Chen
Език: Английски език
Корици: С меки корици
Издател: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Наличност: Външен склад
Изпращаме след 5-8 дни
105.50 € 206.33 лв
This research book provides a comprehensive overview of the state-of-the-art subspace learning metho...

Информация за книгата

Автор
Lakhmi C. Jain, Yen-Wei Chen
Език
Английски език
Корици
Книга - С меки корици
Издадена
2016
страници
199
EAN
9783662501900
ISBN
3662501902
Enbook ID
14167634
Издател
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Теглоt
3343
Размери
155 x 235 x 12

Пълно описание

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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