Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models

doi:10.1007/s11063-015-9466-x

科研成果详情

发表状态	已发表Published
题名	Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models
作者	Fan, Wentao1 ; Bouguila, Nizar 2
发表日期	2016-10-01
发表期刊	Neural Processing Letters
ISSN/eISSN	1370-4621
卷号	44 期号:2 页码:431-449
摘要	In this work, we develop a statistical framework for data clustering which uses hierarchical Dirichlet processes and Beta-Liouville distributions. The parameters of this framework are leaned using two variational Bayes approaches. The first one considers batch settings and the second one takes into account the dynamic nature of real data. Experimental results based on a challenging problem namely visual scenes categorization demonstrate the merits of the proposed framework.
关键词	Beta-Liouville Hierarchical Dirichlet process Mixture models Nonparametric Bayesian Variational Bayes Visual scenes categorization
DOI	10.1007/s11063-015-9466-x
URL	查看来源
收录类别	SCIE
语种	英语English
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000382683300009
Scopus入藏号	2-s2.0-84939249637
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13272
专题	个人在本单位外知识产出理工科技学院
通讯作者	Fan, Wentao
作者单位	1.Department of Computer Science and Technology,Huaqiao University,Xiamen,China 2.The Concordia Institute for Information Systems Engineering (CIISE),Concordia University,Montreal,Canada
推荐引用方式 GB/T 7714	Fan, Wentao,Bouguila, Nizar. Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models[J]. Neural Processing Letters, 2016, 44(2): 431-449.
APA	Fan, Wentao, & Bouguila, Nizar. (2016). Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models. Neural Processing Letters, 44(2), 431-449.
MLA	Fan, Wentao,et al."Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models". Neural Processing Letters 44.2(2016): 431-449.