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Relaxation Labeling using an improved Hopfield neural network
Cheng, Long; Hou, Zeng-Guang; Tan, Min; Huang, DS; Li, K; Irwin, GW
2006
发表期刊INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION
卷号345页码:430-439
文章类型Article
摘要The relaxation labeling is a useful technique to deal with local ambiguity and achieve consistency. In [1], some useful comments indicate several common properties exist in the relaxation process and the neural network technique. Neural networks can be used as an efficient tool to optimize the average local consistency function whose optimal solution results in a compatible label assignment. However, most of current investigations in this field are based on the standard Hopfield neural network (SHNN) presented in [2]. In this paper, an improved Hopfield neural network (IHNN) presented in [3] is utilized to fulfill relaxation labeling. Compared to the SHNN, this approach has some advantages. 1) The IHNN uses fewer neurons than that of SHNN. 2) The activation function of IHNN is easier to be implemented than that of SHNN. 3) The IHNN does not contain any penalty parameters. It can generate the exact optimal solution. Some experimental results illustrate that the IHNN approach can obtain a better labeling performance than that of SHNN.
WOS标题词Science & Technology ; Technology
关键词[WOS]SEGMENTATION ; CONSTRAINTS ; SUBJECT
收录类别ISTP ; SCI
语种英语
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000240385300044
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9298
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
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GB/T 7714
Cheng, Long,Hou, Zeng-Guang,Tan, Min,et al. Relaxation Labeling using an improved Hopfield neural network[J]. INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION,2006,345:430-439.
APA Cheng, Long,Hou, Zeng-Guang,Tan, Min,Huang, DS,Li, K,&Irwin, GW.(2006).Relaxation Labeling using an improved Hopfield neural network.INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION,345,430-439.
MLA Cheng, Long,et al."Relaxation Labeling using an improved Hopfield neural network".INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION 345(2006):430-439.
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