Development of methods for selecting features using deep learning techniques based on autoencoders
Aleksandr Vokhmintcev, Mikhail Timchenko, Aleksandr Kozko, Artyom Makovetskii, Anastasia Kober, Andrey V. Melnikov · 2018
In the present work new methods and algorithms for selecting features using deep learning techniques based on autoencoders will be proposed to provide high informativeness with low within-class and high between-class variance. The performance of the proposed methods in real indoor environments is presented and discussed.