English

Local Space-Time Smoothing for Version Controlled Documents

Graphics 2013-08-09 v2 Computation and Language Machine Learning

Abstract

Unlike static documents, version controlled documents are continuously edited by one or more authors. Such collaborative revision process makes traditional modeling and visualization techniques inappropriate. In this paper we propose a new representation based on local space-time smoothing that captures important revision patterns. We demonstrate the applicability of our framework using experiments on synthetic and real-world data.

Cite

@article{arxiv.1003.1410,
  title  = {Local Space-Time Smoothing for Version Controlled Documents},
  author = {Seungyeon Kim and Guy Lebanon},
  journal= {arXiv preprint arXiv:1003.1410},
  year   = {2013}
}

Comments

9 pages, 6 figures

R2 v1 2026-06-21T14:54:35.749Z