TY - JOUR
T1 - Erratum
T2 - Manifold adaptive kernelized low-rank representation for semisupervised image classification (Complexit (2018) 2018 (2857594) DOI: 10.1155/2018/2857594)
AU - Peng, Yong
AU - Kong, Wanzeng
AU - Qin, Feiwei
AU - Nie, Feiping
N1 - Publisher Copyright:
Copyright © 2018 Yong Peng et al.
PY - 2021
Y1 - 2021
N2 - In the article titled “Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification” [1], one of the grant numbers should be corrected. The Acknowledgements section should be updated as follows: “This work was partially supported by National Natural Science Foundation of China (61602140, 61671193, 61633010, 61473110, and 61502129), Zhejiang Science and Technology Program (2017C33049, 2018C04012, and LQ16F020004), China Postdoctoral Science Foundation (2017M620470), Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, NJUPT (BDSIP201804), and Co-Innovation Center for Information Supply & Assurance Technology, Anhui University (ADXXBZ201704).”
AB - In the article titled “Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification” [1], one of the grant numbers should be corrected. The Acknowledgements section should be updated as follows: “This work was partially supported by National Natural Science Foundation of China (61602140, 61671193, 61633010, 61473110, and 61502129), Zhejiang Science and Technology Program (2017C33049, 2018C04012, and LQ16F020004), China Postdoctoral Science Foundation (2017M620470), Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, NJUPT (BDSIP201804), and Co-Innovation Center for Information Supply & Assurance Technology, Anhui University (ADXXBZ201704).”
UR - http://www.scopus.com/inward/record.url?scp=85100137882&partnerID=8YFLogxK
U2 - 10.1155/2018/6975152
DO - 10.1155/2018/6975152
M3 - 评论/辩论
AN - SCOPUS:85100137882
SN - 1076-2787
VL - 2018
JO - Complexity
JF - Complexity
M1 - 6975152
ER -