文件名称：matlab精度检验代码-persistence-learning:持续学习
文件大小：421KB
文件格式：ZIP
更新时间：2024-06-10 17:43:28
系统开源
matlab精度检验代码持续学习 该代码实现了以下两个出版物中提出的持久性图内核。 引用我们的工作时，请使用提供的BibTeX条目。 @inproceedings{Reininghaus14a, author = {R.~Reininghaus and U.~Bauer and S.~Huber and R.~Kwitt}, title = {A Stable Multi-scale Kernel for Topological Machine Learning}, booktitle = {CVPR}, year = {2015}} @inproceedings{Kwitt15a, author = {R.~Kwitt and S.~Huber and M.~Niethammer and W.~Lin and U.~Bauer}, title = {Statistical Topological Data Analysis - A Kernel Perspective}, booktitle = {NIPS}, year = {2015}} 概述 汇编 该代码的核心在diagram_
【文件预览】：
persistence-learning-master
----common()
--------logo-small.png(5KB)
--------points_003-web.png(4KB)
--------points_002.png(9KB)
--------pss_averaging_input.png(123KB)
--------points_003.png(9KB)
--------FLA.png(12KB)
--------points_001.png(9KB)
--------FLA-web.png(5KB)
--------ccmesh.png(43KB)
--------points_002-web.png(4KB)
--------logo.png(163KB)
--------points_001-web.png(4KB)
----.gitmodules(336B)
----code()
--------matlab()
--------external()
--------dipha-pss()
----README.md(14KB)
----data()
--------options_pl_experiment_OASIS_run_mmd.mat(376B)
--------options_pl_experiment_pss_average.mat(410B)
----.gitignore(28B)