| 書(shū)目名稱(chēng) | Subspace Methods for Pattern Recognition in Intelligent Environment |
| 編輯 | Yen-Wei Chen,Lakhmi C. Jain |
| 視頻video | http://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(shū)名稱(chēng) | Studies in Computational Intelligence |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-3-642-54851-2 |
| isbn_softcover | 978-3-662-50190-0 |
| isbn_ebook | 978-3-642-54851-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2014 |
|Archiver|手機(jī)版|小黑屋|
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