Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification
文献类型：期刊论文
| 作者 | Gui, Jie1,2; Tao, Dacheng3; Sun, Zhenan2 ; Luo, Yong4; You, Xinge5; Tang, Yuan Yan6
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 出版日期 | 2014-07-01 |
| 卷号 | 23期号:7页码:3126-3137 |
| 关键词 | Group sparse multiview learning patch alignment framework view consistency joint feature extraction and feature selection |
| 英文摘要 | No single feature can satisfactorily characterize the semantic concepts of an image. Multiview learning aims to unify different kinds of features to produce a consensual and efficient representation. This paper redefines part optimization in the patch alignment framework (PAF) and develops a group sparse multiview patch alignment framework (GSM-PAF). The new part optimization considers not only the complementary properties of different views, but also view consistency. In particular, view consistency models the correlations between all possible combinations of any two kinds of view. In contrast to conventional dimensionality reduction algorithms that perform feature extraction and feature selection independently, GSM-PAF enjoys joint feature extraction and feature selection by exploiting l(2,1)-norm on the projection matrix to achieve row sparsity, which leads to the simultaneous selection of relevant features and learning transformation, and thus makes the algorithm more discriminative. Experiments on two real-world image data sets demonstrate the effectiveness of GSM-PAF for image classification. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | NONLINEAR DIMENSIONALITY REDUCTION ; SPECTRAL REGRESSION ; FEATURE-SELECTION ; FEATURE FUSION ; RECOGNITION ; CLASSIFIERS ; PROJECTIONS ; ANNOTATION ; DOCUMENTS ; FACE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000337842700010 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3788]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Hefei Inst Intelligent Machines, Hefei 230031, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 3.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst, Ultimo, NSW 2007, Australia 4.Peking Univ, Sch Elect Engn & Comp Sci, Minist Educ, Key Lab Machine Percept, Beijing 100871, Peoples R China 5.Huazhong Univ Sci & Technol, Dept Elect & Informat Engn, Wuhan 430074, Peoples R China 6.Univ Macau, Dept Comp & Informat Sci, Macao, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gui, Jie,Tao, Dacheng,Sun, Zhenan,et al. Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2014,23(7):3126-3137. |
| APA | Gui, Jie,Tao, Dacheng,Sun, Zhenan,Luo, Yong,You, Xinge,&Tang, Yuan Yan.(2014).Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification.IEEE TRANSACTIONS ON IMAGE PROCESSING,23(7),3126-3137. |
| MLA | Gui, Jie,et al."Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification".IEEE TRANSACTIONS ON IMAGE PROCESSING 23.7(2014):3126-3137. |
入库方式： OAI收割
来源：自动化研究所
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