Development of methods for selecting features using deep learning techniques based on autoencoders

A. Vokhmintcev; A. Melnikov; M. Timchenko; A. Kozko; A. Makovetskii; A. Kober

doi:10.1117/12.2320189

17 September 2018 Development of methods for selecting features using deep learning techniques based on autoencoders

A. Vokhmintcev, A. Melnikov, M. Timchenko, A. Kozko, A. Makovetskii, A. Kober

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075227 (2018) https://doi.org/10.1117/12.2320189
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

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.

Citation Download Citation

A. Vokhmintcev, A. Melnikov, M. Timchenko, A. Kozko, A. Makovetskii, and A. Kober "Development of methods for selecting features using deep learning techniques based on autoencoders", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075227 (17 September 2018); https://doi.org/10.1117/12.2320189

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