Multi-Kernel Coupled Projections for Domain Adaptive Dictionary Learning
文献类型：期刊论文
| 作者 | Zheng, Yuhui1; Wang, Xilong1; Zhang, Guoqing1; Xiao, Baihua2 ; Xiao, Fu3; Zhang, Jianwei4
|
| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
 |
| 出版日期 | 2019-09-01 |
| 卷号 | 21期号:9页码:2292-2304 |
| 关键词 | Dictionary learning multiple kernel learning discriminative projections domain adaptation |
| ISSN号 | 1520-9210 |
| DOI | 10.1109/TMM.2019.2900166 |
| 通讯作者 | Zhang, Guoqing(xiayang14551@163.com) |
| 英文摘要 | Dictionary learning has produced state-of-the-art results in various classification tasks. However, if the training data have a different distribution than the testing data, the learned sparse representation might not be optimal. Recently, several domain-adaptive dictionary learning (DADE.) methods and kernels have been proposed and have achieved impressive performance. However, the performance of these single kernel-based methods heavily depends heavily on the choice of the kernel, and the question of how to combine multiple kernel learning (MKL) with the DADL framework has not been well studied. Motivated by these concerns, in this paper, we propose a multi-kernel domain-adaptive sparse representation-based classification (MK-DASRC) and then use it as a criterion to design a multi-kernel sparse representation-based domain-adaptive discriminative projection method, in which the discriminative features of the data in the two domains are simultaneously learned with the dictionary. The purpose of this method is to maximize the between-class sparse reconstruction residuals of data from both domains, and minimize the within-class sparse reconstruction residuals of data in the low-dimensional subspace. Thus, the resulting representations can satisfactorily fit MK-DASRC and simultaneously display discriminability. Extensive experimental results on a series of benchmark databases show that our method performs better than the state-of-the-art methods. |
| WOS关键词 | KERNEL ; DEEP ; TRANSPORT |
| 资助项目 | Natural Science Foundation of China[61806099] ; Natural Science Foundation of China[61672293] ; Natural Science Foundation of Jiangsu Province, China[BK20180790] ; Talent Start Foundation of Nanjing University of Information Science and Technology[2243141701077] ; PAPD (priority academic program development of Jiangsu Higher Education Institutions) |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000483015200011 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province, China ; Talent Start Foundation of Nanjing University of Information Science and Technology ; PAPD (priority academic program development of Jiangsu Higher Education Institutions) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/27301]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队 |
| 通讯作者 | Zhang, Guoqing |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210003, Jiangsu, Peoples R China 4.Nanjing Univ Informat Sci & Technol, Sch Math & Stat, Nanjing 210044, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Yuhui,Wang, Xilong,Zhang, Guoqing,et al. Multi-Kernel Coupled Projections for Domain Adaptive Dictionary Learning[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2019,21(9):2292-2304. |
| APA | Zheng, Yuhui,Wang, Xilong,Zhang, Guoqing,Xiao, Baihua,Xiao, Fu,&Zhang, Jianwei.(2019).Multi-Kernel Coupled Projections for Domain Adaptive Dictionary Learning.IEEE TRANSACTIONS ON MULTIMEDIA,21(9),2292-2304. |
| MLA | Zheng, Yuhui,et al."Multi-Kernel Coupled Projections for Domain Adaptive Dictionary Learning".IEEE TRANSACTIONS ON MULTIMEDIA 21.9(2019):2292-2304. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。