Corpus ID: 203593841

Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification

@article{Evans2019GeneticPA,
  title={Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification},
  author={Benjamin Patrick Evans and Harith Al-Sahaf and B. Xue and M. Zhang},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.13030}
}

Benjamin Patrick Evans, Harith Al-Sahaf, +1 author M. Zhang

Published 2019

Computer Science

ArXiv

Image classification is an essential task in computer vision, which aims to categorise a set of images into different groups based on some visual criteria. Existing methods, such as convolutional neural networks, have been successfully utilised to perform image classification. However, such methods often require human intervention to design a model. Furthermore, such models are difficult to interpret and it is challenging to analyse the patterns of different classes. This paper presents a… CONTINUE READING

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