Flower classification with modified multimodal convolutional neural networks

•We constructed a convolutional neural network model to use image and text together.•We proposed new flower classification algorithm using a multi-view learning method.•We proposed multimodal feature extraction framework in learned expression. The new multi-view learning algorithm is proposed by mod...

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Veröffentlicht in:	Expert systems with applications 2020-11, Vol.159, p.113455, Article 113455
Hauptverfasser:	Bae, Kang Il, Park, Junghoon, Lee, Jongga, Lee, Yungseop, Lim, Changwon
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Classification Data fusion Data integration Deep learning Feature extraction Flowers Image classification Machine learning Multi-view learning Neural networks Performance enhancement Recurrent neural networks Text
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