Subspace Methods for Pattern Recognition in Intelligent Environment

• Corporate Author: SpringerLink (Online service)
• Other Authors: Chen, Yen-Wei (Editor), C. Jain, Lakhmi (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: Studies in Computational Intelligence, 552
• Subjects: Engineering.; Artificial intelligence.; Pattern recognition.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.

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 ext...