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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Veröffentlicht in:	Expert systems with applications Jg. 135; S. 12 - 38
Hauptverfasser:	Janke, Jonathan, Castelli, Mauro, Popovič, Aleš
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 30.11.2019 Elsevier BV
Schlagworte:	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
Online-Zugang:	Volltext
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