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Cognitive gravitation model for classification on small noisy data
Wen, Guihua1,2; Wei, Jia1; Wang, Jiabing1; Zhou, Tiangang2; Chen, L.2; Wen, GH (reprint author), S China Univ Technol, Guangzhou 510641, Guangdong, Peoples R China.
2013
发表期刊NEUROCOMPUTING
ISSN0925-2312
文章类型期刊论文
卷号118页码:245-252
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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
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收录类别SCI
语种英语
项目资助者China National Science Foundation [60973083, 61273363, 61003174] ; State Key Laboratory of Brain and Cognitive Science [08B12]
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
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被引频次:13[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
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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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