Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model

doi:10.1109/TMM.2017.2785227

	Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model
	Qian, Shengsheng1,2 ; Zhang, Tianzhu1,2 ; Xu, Changsheng1,2
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
	2018-08-01
卷号	20 期号:8 页码:2086-2099
通讯作者	Qian, Shengsheng(sheng.qian@nlpr.ia.ac.cn)
摘要	Cross-domain data analysis has been becoming more and more important, and can he effectively adopted for many applications. However, it is difficult to propose a unified cross-domain collaborative learning framework for cross-domain analysis in social multimedia, because cross-domain data have multidomain, multimodal, sparse, and supervised properties. In this paper, we propose a generic cross-domain collaborative learning (CDCL) framework via a discriminative non-parametric Bayesian dictionary learning model for cross-domain data analysis. Compared with existing cross-domain learning methods, our proposed model mainly has four advantages: First, to address the domain discrepancy, we utilize the shared domain priors among multiple domains to make them share a common feature space. Second, to exploit the multimodal property, we use the shared modality priors to model the relationship between different modalities. Third, to deal with the sparse property of media data in one domain, our goal is to learn a shared dictionary to bridge different domains and complement each other. Finally, to make use of the supervised property, we exploit class label information to learn the shared discriminative dictionary, and utilize a latent probability vector to select different dictionary elements for representation of each class. Therefore, the proposed model can investigate the superiorities of different sources to supplement and improve each other effectively. In experiments, we have evaluated our model for two important applications including cross-platform event recognition and cross-network video recommendation. The experimental results have showed the effectiveness of our CDCL model for cross-domain analysis.
关键词	Social media discriminative non-parametric Bayesian model multi-modality
DOI	10.1109/TMM.2017.2785227
关键词[WOS]	SPARSE REPRESENTATION ; IMAGE SUPERRESOLUTION ; K-SVD ; RECOGNITION ; DICTIONARY ; CLASSIFICATION ; MULTIMEDIA ; RETRIEVAL ; SEARCH ; WEB
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[61432019] ; National Natural Science Foundation of China[61572498] ; National Natural Science Foundation of China[61532009] ; National Natural Science Foundation of China[61572296] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC039] ; Beijing Natural Science Foundation[4172062] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[61432019] ; National Natural Science Foundation of China[61572498] ; National Natural Science Foundation of China[61532009] ; National Natural Science Foundation of China[61572296] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC039] ; Beijing Natural Science Foundation[4172062]
项目资助者	National Natural Science Foundation of China ; Key Research Program of Frontier Sciences, CAS ; Beijing Natural Science Foundation
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:000439378600014
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/26315
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Qian, Shengsheng
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Qian, Shengsheng,Zhang, Tianzhu,Xu, Changsheng. Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2018,20(8):2086-2099.
APA	Qian, Shengsheng,Zhang, Tianzhu,&Xu, Changsheng.(2018).Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model.IEEE TRANSACTIONS ON MULTIMEDIA,20(8),2086-2099.
MLA	Qian, Shengsheng,et al."Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model".IEEE TRANSACTIONS ON MULTIMEDIA 20.8(2018):2086-2099.