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Tags: Pre-trained networks

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TELKOMNIKA Telecommunication Computing Electronics and Control
Competent scene classification using feature fusion of pre-trained convolutional neural networks

In view of the fact that the development of convolutional neural networks
(CNN) and other deep learning techniques, scientists have become more
interested in the scene categorization of remotely acquired images as well as
other algorithms and…

Tags: Feature extraction,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Feature fusion,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Jurnal Nasional Informatika,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Pre-trained networks,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Scene classification,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , Support Vector Machine

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Browse Items (1 total)

TELKOMNIKA Telecommunication Computing Electronics and Control Competent scene classification using feature fusion of pre-trained convolutional neural networks

TELKOMNIKA Telecommunication Computing Electronics and Control
Competent scene classification using feature fusion of pre-trained convolutional neural networks