@inproceedings{88611165c9fb4565b69b50928124d0d2,
title = "K{\"o}r anal{\.i}z y{\"o}ntemler{\.i} {\.i}le {\.i}mge {\.i}y{\.i}le{\c s}t{\.i}rme",
abstract = "Unsupervised learning and blind signal decomposition methods are used for recovering unknown source signals from their linear mixtures using the observed data only. In these methods, a new representation of the data can reveal some hidden information inherent in the data. In this study, principal component analysis, independent component analysis and non-negative matrix factorization methodologies are applied on a single image for extracting information and image enhancement.",
author = "Polat, \{{\"O}zg{\"u}r Murat\} and {\"O}zkazan{\c c}, \{Yakup S.\}",
year = "2011",
doi = "10.1109/SIU.2011.5929844",
language = "T{\"u}rk{\c c}e",
isbn = "9781457704635",
series = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",
pages = "1085--1088",
booktitle = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",
note = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 ; Conference date: 20-04-2011 Through 22-04-2011",
}