Compressive Classification (Machine Learning without learning)
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Dec 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 1.
3 papers.