Session Time & Room : 5D (Aug.25, 15:30-17:10) @E711
Type : Contributed Talk
Abstract : Convolutional Neural Networks (CNN) have been widely used to image understanding. However it remains an open problem to prove the approximation of image functions via CNN. In this work, it is proved that an image function can be approximated by CNN on the basis of the axiom of choice in set theory and an uncountable number of training data from the viewpoint of image decomposition.
