@INPROCEEDINGS { Rsds3819,
author = {Nguyen, Tom and Swiniarski, Roman W. and Skowron, Andrzej and Bazan, Jan G. and Thyagarajan, Kadayam}, 
title = {Application of Rough Sets, Neural Networks and Maximum Likelihood for Texture Classification Based on Singular Value Decomposition}, 
booktitle = {Soft Computing}, 
conference = {International Workshop on Rough Sets and Soft Computing}, 
pages = {157--160}, 
publisher = {The Society for Computer Simulation}, 
address = {San Diego, U.S.A.}, 
month = {November}, 
year = 1994, 
editor = {Lin, Tsau Young and Wildberger, A.M.}, 
isbn = {1-56555-077-3}, 
abstract = {The paper describes results of study relating to an application of neural networks and rough sets for texture classification. The Singular Value Decomposition (SVD) has been applied for feature extraction of natural textures, and the best sets of features for robust classification has been selected based on rough sets technique. For reduced by rough sets number of features the statistical maximum likelihood classifier as well as radial basis neural network have been successfully tested as a classification techniques. Additionally a novel techniques of the dynamic reducts has been applied for robust texture recognition.}, 
keywords = {decision support systems, approximation techniques, pattern recognition, model reduction, }, 
}