junli2019 / LeaSC

Learnable Subspace Clustering

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LeaSC %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao and Yun Fu, Learnable Subspace Clustering, IEEE Transactions on Neural Networks and Learning Systems, accepted with minor.

rpcmdemo_anexample.m % the main file for an example.

rpcmdemo_mnist.m % the main file for mnist .

rpcmdemo_mnist is a fast demo on MNIST including 70,000 images with 0-9 digits. We compute the feature vectors of each image by using a scattering convolution network [Bruna and Mallat, 2013]. The size of the dimension is 3,472.

@article{li2020LeaSC, Author = {Jun Li and Hongfu Liu and Zhiqiang Tao and Handong Zhao and Yun Fu}, Title = {Learnable Subspace Clustering}, URL = {https://arxiv.org/pdf/2004.04520.pdf}, Booktitle = {arXiv:2004.04520} Year = {2020}}

About

Learnable Subspace Clustering


Languages

Language:MATLAB 99.9%Language:M 0.1%