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Please predict whether this patent is acceptable.PATENT ABSTRACT: In accordance with an example embodiment of the present invention, a method comprising: obtaining a plurality of training cases; initializing a filter corresponding to each convolutional layer in a convolutional neural network, wherein the convolutional neural network comprises at least one convolutional layer; applying a squashing function on the filter; computing convolutions of patches from the plurality of training images and the filter which has applied the squashing function; and obtaining parameters of the squashing function and parameters of the filter based on the computed convolutions.