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...

Full description

Bibliographic Details
Main Authors: Hieu Minh Bui, Margaret Lech, Eva Cheng, Katrina Neville, Ian S. Burnett
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Machine learning
pattern recognition
neural networks
knowledge transfer
Online Access:https://ieeexplore.ieee.org/document/7869276/

Internet

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

Similar Items