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In this paper, we propose a scheme that can be used in largescale nonlinear facial image classification problems. An approximate solution of the kernel Extreme Learning Machine classifier is formulated and evaluated. Experiments on two publicly available facial image datasets using two popular facial image representations illustrate the effectiveness and efficiency of the proposed approach. The proposed Approximate Kernel Extreme Learning Machine classifier is able to scale well in both timedoi:10.1109/icip.2015.7351242 dblp:conf/icip/IosifidisTP15a fatcat:f2vnsikguraynfwrmzx4qsubd4