A-Optimal Non-negative Projection for image representation

OPT OpenIR > 光谱成像技术研究室

	A-Optimal Non-negative Projection for image representation
	Liu, Haifeng; Yang, Zheng; Wu, Zhaohui; Li, Xuelong
	2012
会议名称	2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
会议录名称	2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
页码	1592-1599
会议日期	June 16, 2012 - June 21, 2012
会议地点	Providence, RI, United states
出版地	United States
出版者	IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States
产权排序	2
摘要	As a central problem in computer vision and pattern recognition, data representation has attracted great attention in the past years. Non-negative matrix factorization (NMF) which is a useful data representation method makes great contribution on finding the latent structure of the data and leads to a parts-based representation by decomposing the data matrix into a few bases and encodings with nonnegative constraints. However, non-negative constraint is insufficient for getting more robust data representation. In this paper, we propose a novel method, called A-Optimal Non-negative Projection (ANP) for image data representation and further analysis. ANP imposes a constraint on the encoding factor as a regularizer during matrix factorization. In this way, the learned data representation leads to a stable linear model no matter what kind of data label is selected for further processing. Thus, it can preserve more intrinsic characteristics of the data regardless of any specific labels. We demonstrate the effectiveness of this novel algorithm through a set of evaluations on real world applications.
作者部门	光学影像分析与学习中心
收录类别	CPCI（ISTP） ; EI
ISBN号	9781467312264
语种	英语
ISSN号	10636919
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/20543
专题	光谱成像技术研究室
推荐引用方式 GB/T 7714	Liu, Haifeng,Yang, Zheng,Wu, Zhaohui,et al. A-Optimal Non-negative Projection for image representation[C]. United States:IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States,2012:1592-1599.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
A-Optimal Non-negati（173KB）			限制开放	CC BY-NC-SA	请求全文