Cognitive gravitation model for classification on small noisy data

	Cognitive gravitation model for classification on small noisy data
	Wen, Guihua 1,2; Wei, Jia 1; Wang, Jiabing 1; Zhou, Tiangang 2; Chen, L.2; Wen, GH (reprint author), S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China.
心理所单位排序	1
摘要	When performing the classification on the high dimensional, the sparse, or the noisy data, many approaches easily lead to the dramatic performance degradation. To deal with this issue from the different perspective, this paper proposes a cognitive gravitation model (CGM) based on both the law of gravitation in physics and the cognitive laws, where the self-information of each sample instead of mass is applied. Subsequently, a new classifier is designed which utilizes CGM to find k nearest neighbors from each class for the query sample and then classifies this query sample to the class whose cognitive gravitation is largest. The cognitive gravitation of the class is defined as the sum of the cognitive gravitation between its each nearest neighbor and the query sample. The advantage of our approach is that it has a firm and simple mathematical basis while it has good classification performance. The conducted experiments on challenging benchmark data sets validate the proposed model and the classification approach. (C) 2013 Elsevier B.V. All rights reserved.
关键词	Cognitive laws Nearest neighbors Classification Gravitation model
学科领域	Emotional Psychology
	2013
语种	英语
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	118 页码:245-252
期刊论文类型	期刊论文
URL	查看原文
收录类别	SCI
项目简介	This work was supported by China National Science Foundation under Grants 60973083, 61273363, 61003174 and State Key Laboratory of Brain and Cognitive Science under grants 08B12.
WOS记录号	WOS:000323693700025
资助机构	China National Science Foundation [60973083, 61273363, 61003174] ; State Key Laboratory of Brain and Cognitive Science [08B12]
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/10693
专题	脑与认知科学国家重点实验室
通讯作者	Wen, GH (reprint author), S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China.
作者单位	1.S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
第一作者单位	脑与认知科学国家重点实验室
推荐引用方式 GB/T 7714	Wen, Guihua,Wei, Jia,Wang, Jiabing,et al. Cognitive gravitation model for classification on small noisy data[J]. NEUROCOMPUTING,2013,118:245-252.
APA	Wen, Guihua,Wei, Jia,Wang, Jiabing,Zhou, Tiangang,Chen, L.,&Wen, GH .(2013).Cognitive gravitation model for classification on small noisy data.NEUROCOMPUTING,118,245-252.
MLA	Wen, Guihua,et al."Cognitive gravitation model for classification on small noisy data".NEUROCOMPUTING 118(2013):245-252.

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