rushilanirudh / pdsphere

A Riemannian framework for statistical analysis of topological persistence diagrams

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

##Computing an efficient metric between persistence diagrams

Matlab code to compute an extremely efficient metric between topological persistence diagrams by embedding them on to a Hilbert Sphere. If you use this code, please consider citing the following paper:

Anirudh, R., Venkataraman, V., Ramamurthy, K.N. and Turaga, P., A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. arXiv preprint arXiv:1605.08912., 2016.

Bibtex:

@InProceedings{AnirudhCVPRW2016,
author={Anirudh, Rushil and Venkataraman, Vinay and Ramamurthy, Karthikeyan Natesan and Turaga, Pavan},
title={A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition Workshops},
month = {June},
year = {2016}
}

About

A Riemannian framework for statistical analysis of topological persistence diagrams

License:MIT License


Languages

Language:Java 21.4%Language:C++ 20.5%Language:HTML 17.7%Language:C 15.2%Language:M4 13.4%Language:Python 8.9%Language:MATLAB 2.0%Language:Makefile 0.8%Language:M 0.1%