C. Gautam, R. Balaji, K. Sudharsan, A. Tiwari, and K. Ahuja, Localized Multiple Kernel Learning for Anomaly Detection: One-Class Classification, Knowledge-Based Systems, vol. 165, pp. 241-252, 2018 (ELSEVIER).
https://www.sciencedirect.com/science/article/pii/S0950705118305823
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To execute the above codes, simply open the above codes in MATLAB and run Main.m file. This code will generate results for Gaussian-Polynomial-Polynomial and Gaussian-Polynomial-Linear combination using linear sigmoid gating function for LMKAD. By changing the parameters, you can obtain the results for other combination of kernel and gating function.
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After executing the 'Main.m' file, two files, namely 'gpp_lsoft.mat' and 'gpl_lsoft.mat'.
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Then execute 'Extract_all_results.m' file. It will yield results of all mentioned datasets in the paper in the MATLAB workspace.