mlsanityData to 7 Oct 2026

Persistence paths and signature features in topological data analysis

arXiv 1806.00381 ↗First posted 1 Jun 2018stat.ML cs.LG math.PRcited by 17

Not on the map. Why?

Abstract (arXiv)

We introduce a new feature map for barcodes that arise in persistent homology computation. The main idea is to first realize each barcode as a path in a convenient vector space, and to then compute its path signature which takes values in the tensor algebra of that vector space. The composition of these two operations - barcode to path, path to tensor series - results in a feature map that has several desirable properties for statistical learning, such as universality and characteristicness, and achieves state-of-the-art results on common classification benchmarks.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 3; 2023: 4; 2024: 1; 2025: 3; 2026: 2.

17 papers.

Sort: