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TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks

Computer Vision and Pattern Recognition 2020-11-17 v1
Authors: Yu-Shih Chen , Melissa Goh , Norm Matloff
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Abstract

One of the most celebrated achievements of modern machine learning technology is automatic classification of images. However, success is typically achieved only with major computational costs. Here we introduce TDAsweep, a machine learning tool aimed at improving the efficiency of automatic classification of images.

Keywords

dimensionality reduction deep learning for image classification image classification

Cite

@article{arxiv.2011.07230,
  title  = {TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks},
  author = {Yu-Shih Chen and Melissa Goh and Norm Matloff},
  journal= {arXiv preprint arXiv:2011.07230},
  year   = {2020}
}

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