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Titlebook: Kernel Learning Algorithms for Face Recognition; Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pan Book 2014 Springer Science+Business Media New Yo

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發(fā)表于 2025-3-21 17:54:08 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Kernel Learning Algorithms for Face Recognition
編輯Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pan
視頻videohttp://file.papertrans.cn/543/542449/542449.mp4
概述Discusses the system framework of kernel based face recognition.Introduces a new method of machine learning as it relates to face recognition.Presents algorithms for pattern recognition and machine le
圖書封面Titlebook: Kernel Learning Algorithms for Face Recognition;  Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pan Book 2014 Springer Science+Business Media New Yo
描述Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its newest applications.
出版日期Book 2014
關鍵詞Analysis Based Face Recognition; Kernel Clustering; Kernel Construction; Kernel Manifold Learning; Kerne
版次1
doihttps://doi.org/10.1007/978-1-4614-0161-2
isbn_softcover978-1-4939-5212-0
isbn_ebook978-1-4614-0161-2
copyrightSpringer Science+Business Media New York 2014
The information of publication is updating

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Introduction,ing, and disguises. FR provides the wide applications in commercial, law enforcement, military, and so on, such as airport security and access control, building surveillance and monitoring, human–computer intelligent interaction and perceptual interfaces, smart environments at home, office, and cars.
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Book 2014g algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face
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Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Panrcises range from straightforward applications of the theory to problems that are devised to challenge the reader. Questions for further study are provided after selected exercises.?Most proofs are given in det978-3-319-18990-1978-3-319-18991-8Series ISSN 0172-5939 Series E-ISSN 2191-6675
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Jun-Bao Li,Shu-Chuan Chu,Jeng-Shyang Pan method is applied to compute the pressure fluctuations due to jet noise on the outer skin of the fuselage. For the turbulent boundary layer, analytic calculations of auto-spectra and wavenumber-spectra are transferred to pressure fluctuations on the outer skin as well. The loads are applied to a wa
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