no code implementations • 2 Aug 2020 • Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão
We present a loop in which a deep neural network (VGG-16) is trained from a set with more correctly labeled samples along iterations, created by using t-SNE to project the features of its last max-pooling layer into a 2D embedded space in which labels are propagated using the Optimum-Path Forest semi-supervised classifier.
no code implementations • 27 Jul 2020 • Barbara Caroline Benato, Jancarlo Ferreira Gomes, Alexandru Cristian Telea, Alexandre Xavier Falcão
Data annotation using visual inspection (supervision) of each training sample can be laborious.