The application of rough set and kohonen network to feature selection for object extraction

International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2003, Pages 1185-1189

  Pan, Li ^a   Zheng, Hong ^b   Nahavandi, Saeid ^b  

^a WUHAN UNIVERSITY   (China)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

Feature selection; Kohonen network; Rough set

Indexed keywords

APPROXIMATION THEORY; CLASSIFICATION (OF INFORMATION); DECISION TABLES; ERROR ANALYSIS; FUNCTIONS; FUZZY SETS; GENETIC ALGORITHMS; LEARNING SYSTEMS; OBJECT RECOGNITION; PROBLEM SOLVING; ROUGH SET THEORY; SELF ORGANIZING MAPS;

CONTINUOUS DATA DISCRETIZATION; FEATURE SELECTION; KOHONEN NETWORK;

FEATURE EXTRACTION;

EID: 1542376039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Z Pawlak. Rough Set. Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht, Boston, London, 1991
2. Z Pawlak. Rough Set Approach to Knowledge-Based Decision Support, European Journal of Operational Research, 1: 48-57, 1999
3. R W.Swiniarski. Rough Sets as a Front End of Neural Networks Texture Classifiers, Neurocomputing, 36: 85-102, 2001
4. Hoe Kok Meng. A Multi-Mechanism Pipeline for Generating Symbolic Rules From Un-Annotated Data, Proc.NSF Workshop, Kuala Lumpure. 1-6,2001
5. M R Chmielewski. Global Discretization of Continuous Attributes as Preprocessing for Machine Learning, Int. Journal of Approximate Reasoning, 15:319-331,1996
6. H Zheng. On Study of Genetic Algorithms Application to Image Processing and Analysis, Ph.D. thesis, Wuhan University of Surveying and Mapping, 2000.
7. L Pan. The Study on Forest Area Recognition from Color Aerial Image and Its Application to Automatic Aerial Triangulation, Ph.D. thesis, Wuhan University, 2001.