CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
A Boosting, Sparsity-Constrained Bilinear Model for Object Recognition
Zhang, Chunjie1; Liu, Jing1; Tian, Qi2; Han, Yanjun; Lu, Hanqing1; Ma, Songde
Source PublicationIEEE MULTIMEDIA
2012-04-01
Volume19Issue:2Pages:58-68
SubtypeArticle
AbstractUsing higher-level visual elements to represent images, the authors have developed a sparsity-constrained bilinear model (SBLM) and have combined a set of SBLMs in a boosting-like procedure to enhance performance.
KeywordObject Recognition
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000303242800007
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3339
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100864, Peoples R China
2.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX USA
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Chunjie,Liu, Jing,Tian, Qi,et al. A Boosting, Sparsity-Constrained Bilinear Model for Object Recognition[J]. IEEE MULTIMEDIA,2012,19(2):58-68.
APA Zhang, Chunjie,Liu, Jing,Tian, Qi,Han, Yanjun,Lu, Hanqing,&Ma, Songde.(2012).A Boosting, Sparsity-Constrained Bilinear Model for Object Recognition.IEEE MULTIMEDIA,19(2),58-68.
MLA Zhang, Chunjie,et al."A Boosting, Sparsity-Constrained Bilinear Model for Object Recognition".IEEE MULTIMEDIA 19.2(2012):58-68.
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