Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure

Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure

Deep neural networks (DNNs) trained on large data sets have been shown to be able to capture high-quality features describing image data. Numerous studies have proposed various ways to transfer DNN structures trained on large data sets to perform classification tasks represented by relatively small...

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Podrobná bibliografie
Hlavní autoři: Hieu Minh Bui, Margaret Lech, Eva Cheng, Katrina Neville, Ian S. Burnett
Médium: Článek
Jazyk:English
Vydáno: IEEE 2016-01-01
Edice:IEEE Access
Témata:
Machine learning
pattern recognition
neural networks
knowledge transfer
On-line přístup:https://ieeexplore.ieee.org/document/7869276/

Internet

https://ieeexplore.ieee.org/document/7869276/

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