a multi-layer perceptron (MLP) is trained for face–nonface classification from the 24-dimensional image measurement vector. The MLP is not fully connected, but exploits some prior knowledge of the domain. The training set consists of 47,316 image measurements vectors, where 4150 are examples of face patterns.