Local Receptive Fields Based Extreme Learning Machine

Strictly for academic use.

Please kindly cite the paper "Local Receptive Fields based Extreme Learning Machine". Bibtex: @ARTICLE{bai2015, author = {Huang, Guang-Bin and Bai, Zuo and Kasun, Liyanaarachchi Lekamalage Chamara and Vong, Chi Man}, title = {Local receptive fields based extreme learning machine}, journal = {IEEE Computational Intelligence Magazine (accepted)}, year = {2015}, volume = {10}, owner = {BaiZuo}, timestamp = {2014.11.17} }

For NORB dataset, please download it from https://web.stanford.edu/~asaxe/random_weights.html and put it in the same folder with the codes. For NORB dataset, stanford forbidden,now down form https://pan.baidu.com/s/1hq2OpcK

USAGE: result=ELM_LRF_function('param5', 0.01); memory require ~35G

We include some excellent functions from rwrelease.tar.gz £¨On random weights and unsupervised feature learning£© and TCNN code (Tiled convolutional neural networks£¬ https://web.stanford.edu/~asaxe/random_weights.html). Many thanks to the authors.