Ausgabe 9/2012
Special Issue on Extreme Learning Machines (ELM 2011) Hangzhou, China, December 6 – 8, 2011
Inhalt (16 Artikel)
Focus
A study on random weights between input and hidden layers in extreme learning machine
Ran Wang, Sam Kwong, Xizhao Wang
Focus
Variable activation function extreme learning machine based on residual prediction compensation
Gai-tang Wang, Ping Li, Jiang-tao Cao
Focus
Evolutionary selection extreme learning machine optimization for regression
Guorui Feng, Zhenxing Qian, Xinpeng Zhang
Focus
Dynamic ensemble extreme learning machine based on sample entropy
Jun-hai Zhai, Hong-yu Xu, Xi-zhao Wang
Focus
Generalized extreme learning machine acting on a metric space
Jianwei Zhao, Dong Sun Park, Joonwhoan Lee, Feilong Cao
Focus
Face recognition via local preserving average neighborhood margin maximization and extreme learning machine
Xiaoming Chen, Wanquan Liu, Jianhuang Lai, Zhen Li, Chong Lu
Focus
Face recognition with lattice independent component analysis and extreme learning machines
Ion Marques, Manuel Graña
Focus
Service-oriented architecture based on biometric using random features and incremental neural networks
Kwontaeg Choi, Kar-Ann Toh, Youngjung Uh, Hyeran Byun
Focus
Intelligent fingerprint quality analysis using online sequential extreme learning machine
Shan Juan Xie, JuCheng Yang, Hui Gong, Sook Yoon, Dong Sun Park
Focus
Color image segmentation by fixation-based active learning with ELM
Chen Pan, Dong Sun Park, Huijuan Lu, Xiangping Wu
Focus
Predicting mill load using partial least squares and extreme learning machines
Jian Tang, Dianhui Wang, Tianyou Chai
Focus
Computational localization of transcription factor binding sites using extreme learning machines
Dianhui Wang, Hai Thanh Do
Focus
Update strategy based on region classification using ELM for mobile object index
Botao Wang, Guoren Wang, Jiajia Li, Biao Wang
Focus
Extreme learning machine-based device displacement free activity recognition model
Yiqiang Chen, Zhongtang Zhao, Shuangquan Wang, Zhenyu Chen
Focus
RTS game strategy evaluation using extreme learning machine
Yingjie Li, Yan Li, Junhai Zhai, Simon Shiu