Cite
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.
MLA
Zhou, Nan, et al. “Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 10, Oct. 2020, pp. 3877–91. EBSCOhost, https://doi.org/10.1109/TNNLS.2019.2947156.
APA
Zhou, N., Chen, B., Du, Y., Jiang, T., Liu, J., & Xu, Y. (2020). Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation. IEEE Transactions on Neural Networks and Learning Systems, 31(10), 3877–3891. https://doi.org/10.1109/TNNLS.2019.2947156
Chicago
Zhou, Nan, Badong Chen, Yuanhua Du, Tao Jiang, Jun Liu, and Yangyang Xu. 2020. “Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation.” IEEE Transactions on Neural Networks and Learning Systems 31 (10): 3877–91. doi:10.1109/TNNLS.2019.2947156.