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