Extreme learning machine based fast object recognition

• Main Authors: Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/101860; http://hdl.handle.net/10220/19780; http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6289984&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6289984
• Institution: Nanyang Technological University

Extreme Learning Machine (ELM) as a type of generalized single-hidden layer feed-forward networks (SLFNs) has demonstrated its good generalization performance with extreme fast learning speed in many benchmark and real applications. This paper further studies the performance of ELM and its variants...