Title :
Research on PSVM Ensemble Algorithm Based on Relief (F) Object to Robot
Author_Institution :
Coll. of Comput. & Inf. Eng., Xinxiang Univ., Xinxiang, China
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.353
