硕士生导师
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学历：博士研究生毕业
学位：工学博士学位
办公地点：犀浦3号教学楼31529
毕业院校：四川大学
学科：电子信息. 软件工程. 计算机应用技术
所在单位：计算机与人工智能学院
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Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM
影响因子：9.235
DOI码：10.1109/TKDE.2020.3015959
所属单位：西南交通大学
发表刊物：IEEE Transactions on Knowledge and Data Engineering
刊物所在地：UNITED STATES
关键字：Image reconstruction,Training,Feature extraction,Task analysis,Clustering algorithms,Machine learning,Encoding
摘要：In this paper, we present a novel unsupervised feature learning architecture, which consists of a multi-clustering integration module and a variant of RBM termed multi-clustering integration RBM (MIRBM). In the multi-clustering integration module, we apply three clusterers (K-means, affinity propagation and spectral clustering algorithms) to obtain three different clustering partitions (CPs) without any background knowledge or label. Then, an unanimous voting strategy is used to generate a local clustering partition (LCP). The novel MIRBM model is a core feature encoding part of the proposed unsupervised feature learning architecture. The novelty of it is that the LCP as an unsupervised guidance is integrated into one step contrastive divergence (CD1CD1) learning to guide the distribution of the hidden layer features. For the instance in the same LCP cluster, the hidden and reconstructed hidden layer features of the MIRBM model in the proposed architecture tend to constrict together in the training process. Meanwhile, each LCP center tends to disperse from each other as much as possible in the hidden and reconstructed hidden layer during training. The experiments demonstrate that the proposed unsupervised feature learning architecture has more powerful feature representation and generalization capability than the state-of-the-art models for clustering tasks in the Microsoft Research Asia Multimedia (MSRA-MM)2.0 dataset.
合写作者：Jing Liu, Zhiguo Gong,李天瑞
第一作者：Jielei Chu
论文类型：学术论文
通讯作者：HongjunWang
论文编号：20203809195020
学科门类：工学
一级学科：计算机科学与技术
卷号：Volume: 34
页面范围：3002 - 3015
ISSN号：1041-4347
是否译文：否
发表时间：2022-06-01