A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation

doi:10.1109/ICASSP.2017.7952661

科研成果详情

题名	A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation
作者	Fan, Wentao1 ; Bouguila, Nizar 2; Liu, Xin 1
发表日期	2017-06-16
会议名称	IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
会议录名称	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN	1520-6149
卷号	0
页码	2471-2775
会议日期	MAR 05-09, 2017
会议地点	New Orleans, LA
摘要	In this paper, a hierarchical Dirichlet process (HDP) mixture model of generalized inverted Dirichlet (GID) distributions with an unsupervised feature selection scheme is developed. The proposed model is learned via a principled variational framework and then deployed for video modeling and segmentation. Experimental results show the merits of our developed statistical framework.
关键词	Dirichlet process feature selection Mixture models variational learning video segmentation
DOI	10.1109/ICASSP.2017.7952661
URL	查看来源
收录类别	CPCI-S
语种	英语English
WOS研究方向	Acoustics ; Engineering
WOS类目	Acoustics；Engineering, Electrical & Electronic
WOS记录号	WOS:000414286202189
Scopus入藏号	2-s2.0-85023747609
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13267
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.Electrical and Computer Engineering,Concordia University,Montreal,Canada
推荐引用方式 GB/T 7714	Fan, Wentao,Bouguila, Nizar,Liu, Xin. A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation[C], 2017: 2471-2775.