DocumentCode
2940273
Title
A Modified Constrained Random Selection Approach for Relevance Feedback
Author
Zhang Haiyang ; Li Xianwei
Author_Institution
Dept. of Geogr. & Environ., Suzhou Univ., Suzhou, China
fYear
2010
fDate
19-21 June 2010
Firstpage
1
Lastpage
5
Abstract
A modified constrained random selection approach for relevance feedback is proposed in this paper. The modified method improves the representative of the negative samples, and solves the "small size sample problem" at certain degrees. Experiments demonstrated that better feedback results have got within less feedback times, comparing with original constrained random selection approach.
Keywords
constraint handling; content-based retrieval; image retrieval; relevance feedback; modified constrained random selection approach; negative samples; relevance feedback; small size sample problem; Computer networks; Educational institutions; Feedback; Geography; Image retrieval; Information retrieval; Radio frequency; Stability; Support vector machine classification; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Photonics and Optoelectronic (SOPO), 2010 Symposium on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4963-7
Electronic_ISBN
978-1-4244-4964-4
Type
conf
DOI
10.1109/SOPO.2010.5504356
Filename
5504356
Link To Document