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Deep unsupervised learning with consistent inference of latent representations

文献类型：期刊论文

作者Chang, Jianlong1,2; Wang, Lingfeng1; Meng, Gaofeng1; Xiang, Shiming1,2; Pan, Chunhong1
刊名PATTERN RECOGNITION
出版日期2018-05-01
卷号77期号:5页码:438-453
关键词Deep Unsupervised Learning Consistent Inference Of Latent Representations
DOI10.1016/j.patcog.2017.10.022
文献子类Article
英文摘要Utilizing unlabeled data to train deep neural networks (DNNs) is a crucial but challenging task. In this paper, we propose an end-to-end approach to tackle this problem with consistent inference of latent representations. Specifically, each unlabeled data point is considered as a seed to generate a set of latent labeled data points by adding various random disturbances or transformations. Under the expectation maximization framework, DNNs can be trained in an unsupervised way by minimizing the distances between the data points with the same latent representations. Furthermore, several variants of our approach can be derived by applying regularized and sparse constraints during optimization. Theoretically, the convergence of the proposed method and its variants are fully analyzed. Experimental results show that the proposed approach can significantly improve the performance on various tasks, including image classification and clustering. Such results also indicate that our method can guide DNNs to learn more invariant feature representations in comparison with traditional unsupervised methods. (C) 2017 Elsevier Ltd. All rights reserved.
WOS关键词NEURAL-NETWORKS ; AUTO-ENCODERS ; RECOGNITION ; CLASSIFICATION ; ALGORITHM
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000426222800033
资助机构National Natural Science Foundation of China (NSFC)(91646207 ; Beijing Nature Science Foundation(4162064) ; Youth Innovation Promotion Association CAS ; 61403376 ; 61370039 ; 91338202)
源URL[http://ir.ia.ac.cn/handle/173211/20364]  
专题自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Chang, Jianlong,Wang, Lingfeng,Meng, Gaofeng,et al. Deep unsupervised learning with consistent inference of latent representations[J]. PATTERN RECOGNITION,2018,77(5):438-453.
APA Chang, Jianlong,Wang, Lingfeng,Meng, Gaofeng,Xiang, Shiming,&Pan, Chunhong.(2018).Deep unsupervised learning with consistent inference of latent representations.PATTERN RECOGNITION,77(5),438-453.
MLA Chang, Jianlong,et al."Deep unsupervised learning with consistent inference of latent representations".PATTERN RECOGNITION 77.5(2018):438-453.

入库方式： OAI收割

来源：自动化研究所

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