A Boosting, Sparsity-Constrained Bilinear Model for Object Recognition
文献类型：期刊论文
| 作者 | Zhang, Chunjie1 ; Liu, Jing1; Tian, Qi2; Han, Yanjun; Lu, Hanqing1; Ma, Songde
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| 刊名 | IEEE MULTIMEDIA
 |
| 出版日期 | 2012-04-01 |
| 卷号 | 19期号:2页码:58-68 |
| 英文摘要 | Using 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000303242800007 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3339]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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