Robust Subspace Clustering With Complex Noise
文献类型：期刊论文
| 作者 | He, Ran ; Zhang, Yingya; Sun, Zhenan; Yin, Qiyue; Ran He(赫然)
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 出版日期 | 2015-11-01 |
| 卷号 | 24期号:11页码:4001-4013 |
| 关键词 | Subspace clustering subspace segmentation correntropy half-quadratic minimization |
| 英文摘要 | Subspace clustering has important and wide applications in computer vision and pattern recognition. It is a challenging task to learn low-dimensional subspace structures due to complex noise existing in high-dimensional data. Complex noise has much more complex statistical structures, and is neither Gaussian nor Laplacian noise. Recent subspace clustering methods usually assume a sparse representation of the errors incurred by noise and correct these errors iteratively. However, large corruptions incurred by complex noise cannot be well addressed by these methods. A novel optimization model for robust subspace clustering is proposed in this paper. Its objective function mainly includes two parts. The first part aims to achieve a sparse representation of each high-dimensional data point with other data points. The second part aims to maximize the correntropy between a given data point and its low-dimensional representation with other points. Correntropy is a robust measure so that the influence of large corruptions on subspace clustering can be greatly suppressed. An extension of pairwise link constraints is also proposed as prior information to deal with complex noise. Half-quadratic minimization is provided as an efficient solution to the proposed robust subspace clustering formulations. Experimental results on three commonly used data sets show that our method outperforms state-of-the-art subspace clustering methods. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | SPARSE REPRESENTATION ; MOTION SEGMENTATION ; LINEAR-SUBSPACES ; FACE RECOGNITION ; REGULARIZATION ; MINIMIZATION ; ALGORITHM ; RECOVERY ; SIGNAL |
| 收录类别 | SCI |
| 原文出处 | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7159061 |
| 语种 | 英语 |
| WOS记录号 | WOS:000359235600006 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8897]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Ran,Zhang, Yingya,Sun, Zhenan,et al. Robust Subspace Clustering With Complex Noise[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(11):4001-4013. |
| APA | He, Ran,Zhang, Yingya,Sun, Zhenan,Yin, Qiyue,&Ran He.(2015).Robust Subspace Clustering With Complex Noise.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(11),4001-4013. |
| MLA | He, Ran,et al."Robust Subspace Clustering With Complex Noise".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.11(2015):4001-4013. |
入库方式： OAI收割
来源：自动化研究所
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