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Improving ICA performance for modeling image appearance with the kernel trick

文献类型：期刊论文

作者Liu, QS; Cheng, J; Lu, HQ; Ma, SD; Negoita, MG; Howlett, RJ; Jain, LC
刊名KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
出版日期2004
卷号3214页码:344-351
英文摘要Independent Component Analysis (ICA) is a popular method for modeling image appearance, but it is inadequate to describe complex nonlinear variations of real images due to illumination, distortion, and other variations because of its linear properties in nature. In this paper, we propose to combine the nonlinear kernel trick to improve the performance of ICA for modeling image appearance. First, the kernel trick is used to project the input data into a high-dimensional implicit feature space, and then ICA is performed in this implicit feature space to extract nonlinear independent components of input data. Extensive experiments show that the proposed method outperforms ICA for describing real images.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]COMPONENT ANALYSIS
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000224585400044
公开日期2015-09-22
源URL[http://ir.ia.ac.cn/handle/173211/7954]  
专题自动化研究所_模式识别国家重点实验室_图像与视频分析团队
作者单位Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714		 Liu, QS,Cheng, J,Lu, HQ,et al. Improving ICA performance for modeling image appearance with the kernel trick[J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS,2004,3214:344-351.
APA Liu, QS.,Cheng, J.,Lu, HQ.,Ma, SD.,Negoita, MG.,...&Jain, LC.(2004).Improving ICA performance for modeling image appearance with the kernel trick.KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS,3214,344-351.
MLA Liu, QS,et al."Improving ICA performance for modeling image appearance with the kernel trick".KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS 3214(2004):344-351.

入库方式： OAI收割

来源：自动化研究所

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