Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers

•Research that investigates CNN architectures for classification task.•Two steps method that combines CNN with other ML classifiers.•Large experimental phase considering different architectures and datasets.•Results used to provide guidelines on the choice of the best classifiers.•CNNs can improve t...

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Vydané v:	Expert systems with applications Ročník 135; s. 12 - 38
Hlavní autori:	Janke, Jonathan, Castelli, Mauro, Popovič, Aleš
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 30.11.2019 Elsevier BV
Predmet:	Algorithms Artificial neural networks Benchmarks Classification Computer vision Convolutional neural networks Digital imaging Image classification Image filters Neural networks Regression analysis Support vector machines Convolutional neural networks Computer vision Image classification
ISSN:	0957-4174, 1873-6793
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