Improving ICA performance for modeling image appearance with the kernel trick
Liu, QS; Cheng, J; Lu, HQ; Ma, SD; Negoita, MG; Howlett, RJ; Jain, LC
2004
发表期刊KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
卷号3214页码:344-351
文章类型Article
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
关键词[WOS]COMPONENT ANALYSIS
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号WOS:000224585400044
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7954
专题模式识别国家重点实验室_图像与视频分析
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Liu, QS]的文章
[Cheng, J]的文章
[Lu, HQ]的文章
百度学术
百度学术中相似的文章
[Liu, QS]的文章
[Cheng, J]的文章
[Lu, HQ]的文章
必应学术
必应学术中相似的文章
[Liu, QS]的文章
[Cheng, J]的文章
[Lu, HQ]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。