Compressive Classification (Machine Learning without 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.

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

References in corpus (1)

• Quantized Compressive K-Means

Cited by in corpus (1)

• Sketching Datasets for Large-Scale Learning (long version)