Multiple Cayley-Klein metric learning
文献类型：期刊论文
| 作者 | Bi, Yanhong1,2 ; Fan, Bin1; Wu, Fuchao1; Bin Fan
|
| 刊名 | PLOS ONE
 |
| 出版日期 | 2017-09-21 |
| 卷号 | 12期号:9页码:1-15 |
| 关键词 | Metric Learning Cayley-klein Metric |
| DOI | 10.1371/journal.pone.0184865 |
| 文献子类 | Article |
| 英文摘要 | As a specific kind of non-Euclidean metric lies in projective space, Cayley-Klein metric has been recently introduced in metric learning to deal with the complex data distributions in computer vision tasks. In this paper, we extend the original Cayley-Klein metric to the multiple Cayley-Klein metric, which is defined as a linear combination of several Cayley-Klein metrics. Since Cayley-Klein is a kind of non-linear metric, its combination could model the data space better, thus lead to an improved performance. We show how to learn a multiple Cayley-Klein metric by iterative optimization over single Cayley-Klein metric and their combination coefficients under the objective to maximize the performance on separating interclass instances and gathering intra-class instances. Our experiments on several benchmarks are quite encouraging. |
| WOS关键词 | NEAREST-NEIGHBOR CLASSIFICATION ; VERIFICATION |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000411339900053 |
| 资助机构 | National Natural Science Foundation of China(61375043 ; 61472119 ; 61672032) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19695]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 通讯作者 | Bin Fan |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bi, Yanhong,Fan, Bin,Wu, Fuchao,et al. Multiple Cayley-Klein metric learning[J]. PLOS ONE,2017,12(9):1-15. |
| APA | Bi, Yanhong,Fan, Bin,Wu, Fuchao,&Bin Fan.(2017).Multiple Cayley-Klein metric learning.PLOS ONE,12(9),1-15. |
| MLA | Bi, Yanhong,et al."Multiple Cayley-Klein metric learning".PLOS ONE 12.9(2017):1-15. |
入库方式： OAI收割
来源：自动化研究所
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