DocumentCode
1893729
Title
Research on PSVM Ensemble Algorithm Based on Relief (F) Object to Robot
Author
Shang, You
Author_Institution
Coll. of Comput. & Inf. Eng., Xinxiang Univ., Xinxiang, China
Volume
1
fYear
2012
fDate
23-25 March 2012
Firstpage
205
Lastpage
207
Abstract
An efficient proximal support vector machine (PSVM) ensemble algorithm based on Relief (F) is proposed in this paper. Firstly, the feature perturbation based on the Relief (F) algorithm is introduced into the original PSVM ensemble method to create the integrated individuals with high diversity, and then the classification results obtained via integration with applying the majority voting.
Keywords
nonlinear programming; robot vision; support vector machines; PSVM ensemble algorithm; feature perturbation; proximal support vector machine; relief nonlinear optimization algorithm; relief object; robot visual recognition; Bagging; Classification algorithms; Machine learning; Robots; Silicon; Support vector machines; Training; proximal support vector machine; relief (F) algorithm; robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.353
Filename
6187804
Link To Document