Subspace Methods for Pattern Recognition in Intelligent Environment

Name: Subspace Methods for Pattern Recognition in Intelligent Environment
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642548505
Price: 552.3 RON
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Autor: Yen-Wei Chen, Lakhmi C. Jain

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Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

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This research book provides a comprehensive overview of the state-of-the-art subspace learning metho...

Informații despre carte

Autor

Yen-Wei Chen, Lakhmi C. Jain

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2014

Pagini

199

EAN

9783642548505

ISBN

3642548504

Enbook ID

02527432

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

4498

Dimensiuni

155 x 235 x 17

Descriere completă

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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