DocumentCode
318325
Title
INFOTREE: a contextual tree approach to supervised pattern recognition
Author
Van Dyck, D. ; Garcia, J. Batista
Author_Institution
Dept. of Phys., Antwerp Univ., Belgium
Volume
2
fYear
1997
fDate
26-29 Oct 1997
Firstpage
382
Abstract
A new method for pattern recognition is proposed. The model uses information theory to extract in a systematic and hierarchic way the relevant information content in the input pattern so as to avoid preprocessing. An example of the power of the algorithm is demonstrated by its use in the recognition of heavily noisy binary printed letters
Keywords
feature extraction; information theory; learning (artificial intelligence); neural nets; noise; pattern recognition; trees (mathematics); INFOTREE; algorithm; artificial neural networks; contextual tree; feature vectors; information content; information theory; input pattern; noisy binary printed letters; supervised pattern recognition; Artificial neural networks; Data mining; Data preprocessing; Decision trees; Information theory; Management training; Mutual information; Pattern recognition; Physics; Power system modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.638785
Filename
638785
Link To Document