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.
Yen-Wei Chen & Lakhmi C. Jain
Subspace Methods for Pattern Recognition in Intelligent Environment [PDF ebook]
Subspace Methods for Pattern Recognition in Intelligent Environment [PDF ebook]
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Langue Anglais ● Format PDF ● ISBN 9783642548512 ● Éditeur Yen-Wei Chen & Lakhmi C. Jain ● Maison d’édition Springer Berlin Heidelberg ● Publié 2014 ● Téléchargeable 3 fois ● Devise EUR ● ID 6326513 ● Protection contre la copie Adobe DRM
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