Embedding with Autoencoder Regularization

The problem of embedding arises in many machine learning applications with the assumption that there may exist a small number of variabilities which can guarantee the “semantics” of the original highdimensional data. Most of the existing embedding algorithms perform to maintain the locality-preserving property. In this study, inspired by the remarkable… (More)