@inproceedings{29def609a30d4b0ba9b4edc99c652e56,
title = "Rectified Gaussian distributions and the identification of multiple cause structure in data",
abstract = "We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that are derived from the Rectified Generalized Gaussian distribution, we form a network that is capable of identifying the multiple cause structure of the data. We further show that some topology preservation of the input data is possible using this network and that related features may be coded in separate areas of the output space.",
author = "Darryl Charles and Colin Fyfe",
year = "1999",
doi = "10.1049/cp:19991107",
language = "English",
isbn = "0852967217",
series = "IEE Conference Publication",
publisher = "Publ by IEEE",
number = "470",
pages = "192--197",
booktitle = "IEEE Conference Publication",
edition = "470",
note = "Proceedings of the 1999 the 9th International Conference on 'Artificial Neural Networks (ICANN99)' ; Conference date: 07-09-1999 Through 10-09-1999",
}