/Deep-Kernel-Learning-for-One-class-Classification

Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data

Primary LanguageMATLABMIT LicenseMIT

Minimum Variance-Embedded Deep Kernel Learning for One-class Classification (DKRLVOC)

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

For execution, simply go to the one of the demo folders ('Demo_Alzheimer', 'Demo_mediumDatasets', or 'Demo_smallDatasets'), and open '.m' file in MATLAB and execute that. All source codes and datases are available in 'src' folder.

This repository contains implementation of the following papers for comparison:

  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.

  1. OCKELM

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

  1. 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.

  1. ML-OCKELM

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

For any query related to the above code, you can reach me at chandangautam31@gmail.com