Adaptive incremental learning of image semantics with application to social robot | |
Zhang, Hong1,4; Wu, Ping1,4; Beck, Aryel3; Zhang, Zhijun3; Gao, Xingyu2 | |
刊名 | NEUROCOMPUTING
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2016-01-15 | |
卷号 | 173页码:93-101 |
关键词 | Adaptive incremental learning Image semantics Social robot |
ISSN号 | 0925-2312 |
DOI | 10.1016/j.neucom.2015.07.104 |
英文摘要 | Intelligent human-robot interaction is an interesting and challenging research topic both in areas of computational intelligence and robot control. In this paper we propose a novel adaptive and incremental image semantics learning framework based on the specific application platform of social robot. This endows the robot with the ability to learn to recognize new images based on previous human-robot interactions. In contrast with most of the intelligent image semantics learning works, which typically focus on how to recognize large scale of training data, this paper deals with how to learn image semantics from zero beginning and enrich the knowledge incrementally with human-robot interactions. In our framework, the user first presents unlabeled images to a humanoid robot for recognition; then the robot answers the user what's the image based on the semi-supervised incremental learning framework; thirdly user "teaches" the robot the right label of the image if the robot gives a wrong answer. Users can present more unlabeled images to the robot in the framework for teaching and learning. Extensive experiments and comparisons have validated the proposed methods with encouraging results. Our framework has a broad range of applications including education and rehabilitation. (C) 2015 Elsevier B.V. All rights reserved. |
资助项目 | National Natural Science Foundation of China[61373109] ; National Natural Science Foundation of China[61003127] ; National Natural Science Foundation of China[61273303] ; National Natural Science Foundation of China[61440016] ; State Key Laboratory of Software Engineering[SKLSE2012-09-31] ; Natural Science Foundation of Hubei Provincial of China[2014CFB247] |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000366879600012 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/9002] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Zhang, Hong |
作者单位 | 1.Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan 430081, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Nanyang Technol Univ, Inst Media Innovat, Singapore 639798, Singapore 4.Hubei Prov Key Lab Intelligent Informat Proc & Re, Wuhan, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Hong,Wu, Ping,Beck, Aryel,et al. Adaptive incremental learning of image semantics with application to social robot[J]. NEUROCOMPUTING,2016,173:93-101. |
APA | Zhang, Hong,Wu, Ping,Beck, Aryel,Zhang, Zhijun,&Gao, Xingyu.(2016).Adaptive incremental learning of image semantics with application to social robot.NEUROCOMPUTING,173,93-101. |
MLA | Zhang, Hong,et al."Adaptive incremental learning of image semantics with application to social robot".NEUROCOMPUTING 173(2016):93-101. |
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