CASIA OpenIR  > 智能感知与计算研究中心
Supervised Topology Preserving Hashing
Shu Zhang1,2,3; Man Zhang1,2,3; Qi Li1,2,3; Tieniu Tan1,2,3; Ran He1,2,3; Zhang, Shu
Conference NameAsian Conference on Pattern Recognition(ACPR)
Source PublicationAsian Conference on Pattern Recognition
Conference Date2015年11月3-6日
Conference PlaceKuala Lumpur, Malaysia
AbstractLearning based hashing is gaining traction in largescale retrieval systems. It aims to learn compact binary codes that can preserve semantic similarity in the hamming space. This paper presents a supervised topology hashing (SPTH) algorithm to learn compact binary codes that can exploit both the supervisory information as well as the local topology structure of datasets. To build a connection between the original space and the resultant hamming space, we minimize the quantization errors together with a classi- fication error term and a topology preserving term. A nonlinear kernel feature space is further used to improve the generalization power. An alternating iterative algorithm is developed to minimize the complex objective function that contains both continuous and discrete variables. Experimental results on three benchmark datasets demonstrate the effectiveness of the proposed method on image retrieval tasks.
KeywordTopology Hash
Indexed ByEI
Document Type会议论文
Corresponding AuthorZhang, Shu
Affiliation1.Center for Research on Intelligent Perception and Computing, CASIA
2.National Laboratory of Pattern Recognition, CASIA
3.Center for Excellence in Brain Science and Intelligence Technology, CAS
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China;  Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shu Zhang,Man Zhang,Qi Li,et al. Supervised Topology Preserving Hashing[C],2015.
Files in This Item: Download All
File Name/Size DocType Version Access License
07486510.pdf(191KB)会议论文 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
[Shu Zhang]'s Articles
[Man Zhang]'s Articles
[Qi Li]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shu Zhang]'s Articles
[Man Zhang]'s Articles
[Qi Li]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shu Zhang]'s Articles
[Man Zhang]'s Articles
[Qi Li]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 07486510.pdf
Format: Adobe PDF
All comments (0)
No comment.

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