Trigonometric series in orthogonal expansions for density estimates of deep image features
In this paper we study image recognition tasks in which the images are described by high dimensional feature vectors extracted with deep convolutional neural networks and principal component analysis. In particular, we focus on the problem of high computational complexity of a statistical approach w...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2018-02-01
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| Series: | Компьютерная оптика |
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| Online Access: | http://computeroptics.smr.ru/KO/PDF/KO42-1/420118.pdf |