A systematic fire detection approach using sparse least-square SVMs

Jingjing Zhang; Kang Li; Wanqing Zhao; Minrui Fei; Yigang Wang

A systematic fire detection approach using sparse least-square SVMs

Jingjing Zhang, Kang Li, Wanqing Zhao, Minrui Fei, Yigang Wang

Research output: Contribution to conference › Paper › peer-review

Original language	English
Publication status	Published - 23 Sept 2014
Event	2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014) - Shanghai, China Duration: 20 Sept 2014 → 23 Sept 2014

Conference

Conference	2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014)
Country/Territory	China
City	Shanghai
Period	20/09/2014 → 23/09/2014

Access to Document

http://www.qub.ac.uk/sites/lsms-icsee-2014/

Cite this

Zhang, J., Li, K., Zhao, W., Fei, M., & Wang, Y. (2014). A systematic fire detection approach using sparse least-square SVMs. Paper presented at 2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014), Shanghai, China. http://www.qub.ac.uk/sites/lsms-icsee-2014/

@conference{5f4ab5b2219c477fa82f5ca8d44ec8dc,

title = "A systematic fire detection approach using sparse least-square SVMs",

author = "Jingjing Zhang and Kang Li and Wanqing Zhao and Minrui Fei and Yigang Wang",

year = "2014",

month = sep,

day = "23",

language = "English",

note = "2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014) ; Conference date: 20-09-2014 Through 23-09-2014",

}

Zhang, J, Li, K, Zhao, W, Fei, M & Wang, Y 2014, 'A systematic fire detection approach using sparse least-square SVMs', Paper presented at 2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014), Shanghai, China, 20/09/2014 - 23/09/2014. <http://www.qub.ac.uk/sites/lsms-icsee-2014/>

A systematic fire detection approach using sparse least-square SVMs. / Zhang, Jingjing; Li, Kang; Zhao, Wanqing et al.
2014. Paper presented at 2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014), Shanghai, China.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A systematic fire detection approach using sparse least-square SVMs

AU - Zhang, Jingjing

AU - Li, Kang

AU - Zhao, Wanqing

AU - Fei, Minrui

AU - Wang, Yigang

PY - 2014/9/23

Y1 - 2014/9/23

M3 - Paper

T2 - 2014 International Conference on Life System Modeling and Simulation (LSMS2014) and 2014 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE2014)

Y2 - 20 September 2014 through 23 September 2014

ER -