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Cross-Modal Subspace Learning via Pairwise Constraints
Ran He(赫然)1; Man Zhang1; Liang Wang1; Ye Ji2; Qiyue Yin1; Ji, Ye
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2015-12-01
Volume24Issue:12Pages:5543-5556
SubtypeArticle
AbstractIn multimedia applications, the text and image components in a web document form a pairwise constraint that potentially indicates the same semantic concept. This paper studies cross-modal learning via the pairwise constraint and aims to find the common structure hidden in different modalities. We first propose a compound regularization framework to address the pairwise constraint, which can be used as a general platform for developing cross-modal algorithms. For unsupervised learning, we propose a multi-modal subspace clustering method to learn a common structure for different modalities. For supervised learning, to reduce the semantic gap and the outliers in pairwise constraints, we propose a cross-modal matching method based on compound l(21) regularization. Extensive experiments demonstrate the benefits of joint text and image modeling with semantically induced pairwise constraints, and they show that the proposed cross-modal methods can further reduce the semantic gap between different modalities and improve the clustering/matching accuracy.
KeywordMulti Modal Pairwise Constraint Subspace Clustering
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIP.2015.2466106
WOS KeywordDIMENSIONALITY REDUCTION ; MULTIVIEW DATA ; IMAGE ; FRAMEWORK ; FUSION ; STYLE ; RANK
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61135002 ; National Basic Research Program of China(2012CB316300) ; 61473289)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000363251800008
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10492
Collection智能感知与计算研究中心
Corresponding AuthorJi, Ye
Affiliation1.Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Shandong Univ, Dept Control Sci & Engn, Jinan 250100, Peoples R China
Recommended Citation
GB/T 7714
Ran He,Man Zhang,Liang Wang,et al. Cross-Modal Subspace Learning via Pairwise Constraints[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(12):5543-5556.
APA Ran He,Man Zhang,Liang Wang,Ye Ji,Qiyue Yin,&Ji, Ye.(2015).Cross-Modal Subspace Learning via Pairwise Constraints.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(12),5543-5556.
MLA Ran He,et al."Cross-Modal Subspace Learning via Pairwise Constraints".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.12(2015):5543-5556.
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