A One-shot Learning Approach to Image Classification using Genetic Programming

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Title

A One-shot Learning Approach to Image Classification using Genetic Programming

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Description

In machine learning, it is common to require a large number of instances to train a model for classification. In many cases, it is hard or expensive to acquire a large number of instances. In this paper, we propose a novel genetic programming (GP) based method to the problem of automatic image classification via adopting a one-shot learning approach. The proposed method relies on the combination of GP and Local Binary Patterns (LBP) techniques to detect a predefined number of informative regi...

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Other

Date created

27 Oct, 2020

Creator

Harith Al-Sahaf / Mengjie Zhang / M Johnston

URL

https://figshare.com/articles/conference_contribution/A_One-shot_Learning_Approach_to_Image_Class...

Related subjects

Artificial Intelligence & Image Processing / Uncategorized

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