DocumentCode
732168
Title
Autoencoder: Approach to the reduction of the dimension of the vector space with controlled loss of information
Author
Akinin, Maxim V. ; Akinina, Natalya V. ; Taganov, Alexandr I. ; Nikiforov, Michael B.
Author_Institution
Dept. of Space Technol., RSREU, Ryazan, Russia
fYear
2015
fDate
14-18 June 2015
Firstpage
171
Lastpage
173
Abstract
The different ways of describing the characteristics of the image. The application of autoencoder for image classification. The results of experiments showing the effectiveness of autoencoder for solving pattern classification.
Keywords
image classification; image coding; vectors; autoencoder; dimension reduction; image classification; loss of information; pattern classification; vector space; Accuracy; Biological neural networks; Brightness; Computer architecture; Pattern recognition; Principal component analysis; Haralik´s textural features; Laws energy characteristics; autoencoder; classification; image texture; pattern recognition; principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location
Budva
Print_ISBN
978-1-4799-8999-7
Type
conf
DOI
10.1109/MECO.2015.7181894
Filename
7181894
Link To Document