K
Kuan Li
Researcher at National University of Defense Technology
Publications - 8
Citations - 729
Kuan Li is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Extreme learning machine & Computer science. The author has an hindex of 3, co-authored 6 publications receiving 715 citations.
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Extreme Learning Machine
Erik Cambria,Guang-Bin Huang,Liyanaarachchi Lekamalage Chamara Kasun,Hongming Zhou,Chi-Man Vong,Jiarun Lin,Jianping Yin,Zhiping Cai,Qiang Liu,Kuan Li,Victor C. M. Leung,Liang Feng,Yew-Soon Ong,Meng-Hiot Lim,Anton Akusok,Amaury Lendasse,Francesco Corona,Rui Nian,Yoan Miche,Paolo Gastaldo,Rodolfo Zunino,Sergio Decherchi,Xuefeng Yang,Kezhi Mao,Beom-Seok Oh,Jehyoung Jeon,Kar-Ann Toh,Andrew Beng Jin Teoh,Jaihie Kim,Hanchao Yu,Yiqiang Chen,Junfa Liu +31 more
TL;DR: This special issue includes eight original works that detail the further developments of ELMs in theories, applications, and hardware implementation.
Proceedings ArticleDOI
An efficient abnormal cervical cell detection system based on multi-instance extreme learning machine
TL;DR: An efficient abnormal cervical cell detection system based on multi-instance extreme learning machine (MI-ELM) to deal with above two questions in one unified framework and outperforms three traditional methods for two-class classification in terms of well accuracy and less time.
Proceedings ArticleDOI
A novel unsupervised segmentation method for overlapping cervical cell images
TL;DR: A novel unsupervised segmentation method without needing the training data for overlapping cervical smear images is proposed, which uses a kind of graph cuts to separate all cell clumps from the background.