CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Multiple Cayley-Klein metric learning
Bi, Yanhong1,2; Fan, Bin1; Wu, Fuchao1; Bin Fan
Source PublicationPLOS ONE
AbstractAs 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.
KeywordMetric Learning Cayley-klein Metric
WOS HeadingsScience & Technology
Indexed BySCI
Funding OrganizationNational Natural Science Foundation of China(61375043 ; 61472119 ; 61672032)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000411339900053
Citation statistics
Document Type期刊论文
Corresponding AuthorBin Fan
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
PLOS-ONE-2017.pdf(2897KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bi, Yanhong]'s Articles
[Fan, Bin]'s Articles
[Wu, Fuchao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bi, Yanhong]'s Articles
[Fan, Bin]'s Articles
[Wu, Fuchao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bi, Yanhong]'s Articles
[Fan, Bin]'s Articles
[Wu, Fuchao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: PLOS-ONE-2017.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.