Cognitive gravitation model for classification on small noisy data

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	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
刊名	NEUROCOMPUTING
	2013
卷号	118 页码:245-252
关键词	Cognitive laws Nearest neighbors Classification Gravitation model
ISSN号	0925-2312
通讯作者	Wen, GH (reprint author), S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China.
产权排序	1
英文摘要	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.
学科主题	Emotional psychology
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.
原文出处	http://ac.els-cdn.com/S0925231213003317/1-s2.0-S0925231213003317-main.pdf?_tid=1f8ddb38-ac07-11e4-8c08-00000aab0f26&acdnat=1423010912_f3202ee1fe1104228516eb008d6a88e1
语种	英语
WOS记录号	WOS:000323693700025
内容类型	期刊论文
源URL	[http://ir.psych.ac.cn/handle/311026/10693]
专题	心理研究所_脑与认知科学国家重点实验室
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
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..(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.