hebaining / deep-kernel-learning-for-one-class-classification Goto Github PK

Paper: Gautam, C., Mishra, P. K., Tiwari, A., Richhariya, B., Pandey, H. M., Wang, S., Tanveer, M., & Alzheimer’s Disease Neuroimaging Initiative. (2020). Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data, Neural Networks, 123, 191-216. Paper's link

1. DKRLVOC

# Gautam, C., Mishra, P. K., Tiwari, A., Richhariya, B., Pandey, H. M., Wang, S., Tanveer, M., & Alzheimer’s Disease Neuroimaging Initiative. (2020). Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data, Neural Networks, 123, 191-216.

2. OCKELM

# Leng, Q., Qi, H., Miao, J., Zhu, W., & Su, G. (2015). One-class classification with extreme learning machine. Mathematical problems in engineering.

3. VOCKELM

# Mygdalis, V., Iosifidis, A., Tefas, A., & Pitas, I. (2016, September). One class classification applied in facial image analysis. In 2016 IEEE International Conference on Image Processing (ICIP) (pp. 1644-1648). IEEE.

4. ML-OCKELM

# Dai, H., Cao, J., Wang, T., Deng, M., & Yang, Z. (2019). Multilayer one-class extreme learning machine. Neural Networks, 115, 11-22.