Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition

Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition

The recognition performance of visual recognition systems is highly dependent on extracting and representing the discriminative characteristics of image data. Convolutional neural networks (CNNs) have shown unprecedented success in a variety of visual recognition tasks due to their capability to pro...

Full description

Bibliographic Details
Main Authors: Hammam Alshazly, Christoph Linse, Erhardt Barth, Thomas Martinetz
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
ear recognition
deep features
convolutional neural networks
transfer learning
ensemble models
feature visualization
Online Access:https://www.mdpi.com/1424-8220/19/19/4139

Internet

https://www.mdpi.com/1424-8220/19/19/4139

Similar Items