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Titlebook: Subspace Methods for Pattern Recognition in Intelligent Environment; Yen-Wei Chen,Lakhmi C. Jain Book 2014 Springer-Verlag Berlin Heidelbe

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書目名稱Subspace Methods for Pattern Recognition in Intelligent Environment
編輯Yen-Wei Chen,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/882/881387/881387.mp4
概述Latest research on the theoretical foundations and applications of subspace methods for pattern recognition using intelligent techniques
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Subspace Methods for Pattern Recognition in Intelligent Environment;  Yen-Wei Chen,Lakhmi C. Jain Book 2014 Springer-Verlag Berlin Heidelbe
描述.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..
出版日期Book 2014
關(guān)鍵詞Computational Intelligence; Knowledge-Based Techniques; Pattern Recognition; Subspace Methods
版次1
doihttps://doi.org/10.1007/978-3-642-54851-2
isbn_softcover978-3-662-50190-0
isbn_ebook978-3-642-54851-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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1860-949X e alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis..978-3-662-50190-0978-3-642-54851-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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