Robust extreme learning machine for regression problems with its application to wifi based indoor positioning system

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2014, Pages

  Lu, Xiaoxuan ^a   Long, Yushen ^a   Zou, Han ^a   Yu, Chengpu ^a   Xie, Lihua ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Indoor positioning system; Robust extreme learning machine; Second order cone programming

Indexed keywords

KNOWLEDGE ACQUISITION; MACHINE LEARNING; SIGNAL PROCESSING; WIRELESS LOCAL AREA NETWORKS (WLAN);

ACCURACY AND REPEATABILITIES; EXTREME LEARNING MACHINE; INDOOR LOCALIZATION; ITS APPLICATIONS; NOISY MEASUREMENTS; REGRESSION PROBLEM; SECOND-ORDER CONE PROGRAMMING; WORST CASE ERROR;

INDOOR POSITIONING SYSTEMS;

EID: 84912569327     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2014.6958903     Document Type: Conference Paper

References (13)

1. Han Zou, Hao Jiang, Xiaoxuan Lu, and Lihua Xie, "An online sequential extreme learning machine approach to wifi based indoor positioning," in IEEE World Forum on the Internet of Things(WF-IoT), 2014.
2. Wendong Xiao, Peidong Liu, Wee-Seng Soh, and Guang-Bin Huang, "Large scale wireless indoor localization by clustering and extreme learning machine," in Information Fusion (FUSION), 2012 15th International Conference on, pp. 1609-1614.
3. Guang-Bin Huang and Lei Chen, "Convex incremental extreme learning machine," Neurocomputing, vol. 70, no. 16, pp. 3056-3062, 2007.
4. Wendong Xiao, Peidong Liu, Wee-Seng Soh, and Yunye Jin, "Extreme learning machine for wireless indoor localization," in Proceedings of the 11th international conference on Information Processing in Sensor Networks. pp. 101-102, ACM.
5. Junfa Liu, Yiqiang Chen, Mingjie Liu, and Zhongtang Zhao, "Selm: Semi-supervised elm with application in sparse cali-brated location estimation," Neurocomputing, vol. 74, no. 16, pp. 2566-2572, 2011.
6. Nisarg Kothari, Balajee Kannan, Evan D Glasgwow, and M Bernardine Dias, "Robust indoor localization on a commercial smart phone," Procedia Computer Science, vol. 10, pp. 1114-1120, 2012.
7. Wei Meng, Wendong Xiao, Wei Ni, and Lihua Xie, "Secure and robust wi-fi fingerprinting indoor localization," in Indoor Positioning and Indoor Navigation (IPIN), 2011 International Conference on. pp. 1-7, IEEE.
8. Guang-Bin Huang, Qin-Yu Zhu, and Chee-Kheong Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, no. 13, pp. 489-501, 2006.
9. Gao Huang, Shiji Song, Jatinder ND Gupta, and Cheng Wu, "Semi-supervised and unsupervised extreme learning machines," IEEE Transactions on Cybernetics, 2014.
10. Guang-Bin Huang, Xiaojian Ding, and Hongming Zhou, "Optimization method based extreme learning machine for classification," Neurocomputing, vol. 74, no. 1, pp. 155-163, 2010.
11. Pannagadatta K Shivaswamy, Chiranjib Bhattacharyya, and Alexander J Smola, "Second order cone programming approaches for handling missing and uncertain data," The Journal of Machine Learning Research, vol. 7, pp. 1283-1314, 2006.
12. Huang Gao, Song Shiji, Wu Cheng, and You Keyou, "Robust support vector regression for uncertain input and output data," Neural Networks and Learning Systems, IEEE Transactions on, vol. 23, no. 11, pp. 1690-1700, 2012.
13. Michael C. Grant Stephen P. Boyd, Yinu Ye "Cvx: Matlab software for disciplined convex programming (web page and software)," Available at: http://cvxr.com/cvx.