:

product description page

Subspace Methods for Pattern Recognition in Intelligent Environment (Reprint) (Paperback)

Subspace Methods for Pattern Recognition in Intelligent Environment (Reprint) (Paperback) - image 1 of 1

About this item

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.

Edition: Reprint
Genre: Mathematics, Computers + Internet
Series Title: Studies in Computational Intelligence
Format: Paperback
Publisher: Springer Verlag
Language: English
Street Date: September 23, 2016
TCIN: 51717777
UPC: 9783662501900
Item Number (DPCI): 248-29-9768
If the item details above aren’t accurate or complete, we want to know about it. Report incorrect product info.

Guest reviews

Prices, promotions, styles and availability may vary by store & online. See our price match guarantee. See how a store is chosen for you.