Optimal Classification Using Latent Space Generated from Autoencoders

Student: Vasilev Igor

Educational Programme: Data Science (Master)

Year of Graduation: 2020

This paper introduces the new classification method, which is aimed to solve image classification task. The method is based on data generated from auto-encoder‘s hidden layers. The data were classified with the help of ensemble and classical ma-chine learning algorithms. The algorithm was tested on different image data sets and compared with current State of Art approaches.

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