Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery

Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery

In this article, we consider a version of the challenging problem of learning from datasets whose size is too limited to allow generalisation beyond the training set. To address the challenge, we propose to use a transfer learning approach whereby the model is first trained on a synthetic dataset re...

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Bibliographic Details
Main Authors: Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Y. Tyukin, Penelope M. Allison
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Entropy
Subjects:
deep learning
machine learning
image classification
simulated data
learning from scarce information
Roman pottery (<i>terra sigillata</i>)
Online Access:https://www.mdpi.com/1099-4300/23/9/1140

Internet

https://www.mdpi.com/1099-4300/23/9/1140

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