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Compressive Classification (Machine Learning without learning)

Machine Learning 2018-12-05 v1 Computer Vision and Pattern Recognition Machine Learning

Abstract

Compressive learning is a framework where (so far unsupervised) learning tasks use not the entire dataset but a compressed summary (sketch) of it. We propose a compressive learning classification method, and a novel sketch function for images.

Keywords

Cite

@article{arxiv.1812.01410,
  title  = {Compressive Classification (Machine Learning without learning)},
  author = {Vincent Schellekens and Laurent Jacques},
  journal= {arXiv preprint arXiv:1812.01410},
  year   = {2018}
}

Comments

in Proceedings of iTWIST'18, Paper-ID: 8, Marseille, France, November, 21-23, 2018