Adaptive incremental learning of image semantics with application to social robot

doi:10.1016/j.neucom.2015.07.104

	Adaptive incremental learning of image semantics with application to social robot
	Zhang, Hong 1,2; Wu, Ping 1,2; Beck, Aryel 3; Zhang, Zhijun 3; Gao, Xingyu 4
	2016-01-15
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	173 页码:93-101
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.
关键词	Adaptive incremental learning Image semantics Social robot
DOI	10.1016/j.neucom.2015.07.104
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000366879600012
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9003
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.Hubei Prov Key Lab Intelligent Informat Proc & Re, Wuhan, Peoples R China 3.Nanyang Technol Univ, Inst Media Innovat, Singapore 639798, Singapore 4.Chinese Acad Sci, Inst Comp Technol, Beijing, 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.