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A new extension of kernel feature and its application for visual recognition
Liu, Qingshan1,2; Jin, Hongliang1,2; Tang, Xiaoou2; Lu, Hanqing1; Ma, Songde1
2008-06-01
发表期刊NEUROCOMPUTING
卷号71期号:10-12页码:1850-1856
文章类型Article
摘要In this paper, we first conceive a new perception of the kernel feature. The kernel subspace methods can be regarded as two independent steps: an explicit kernel feature extraction step and a linear subspace analysis step on the extracted kernel features. The kernel feature vector of an image is composed of dot products between the image and all the training images using nonlinear dot product kernel. Then, based on this perception, we further extend the kernel feature vector of an image to a kernel feature matrix for visual recognition. This extension takes different representation cues of images into account, respectively, while only global average information is used in the traditional kernel methods. From the view of dot product as similarity, this extension means using multiple similarities to measure two images, which is more accordant to human vision. In order to efficiently deal with the problem of numerical computation, a matrix-based kernel discriminant analysis algorithm is employed to learn discriminating kernel features for visual recognition. Experiments on the FERET face database, the CCIL-100 object database, and the Wang's nature image database show the advantage of the proposed method. (C) 2008 Elsevier B.V. All rights reserved.
关键词Kernel Feature Discriminant Analysis Visual Recognition
WOS标题词Science & Technology ; Technology
关键词[WOS]FACE-RECOGNITION
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000257413300009
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9611
专题09年以前成果
作者单位1.CAS, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
2.Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Hong Kong, Peoples R China
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GB/T 7714
Liu, Qingshan,Jin, Hongliang,Tang, Xiaoou,et al. A new extension of kernel feature and its application for visual recognition[J]. NEUROCOMPUTING,2008,71(10-12):1850-1856.
APA Liu, Qingshan,Jin, Hongliang,Tang, Xiaoou,Lu, Hanqing,&Ma, Songde.(2008).A new extension of kernel feature and its application for visual recognition.NEUROCOMPUTING,71(10-12),1850-1856.
MLA Liu, Qingshan,et al."A new extension of kernel feature and its application for visual recognition".NEUROCOMPUTING 71.10-12(2008):1850-1856.
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