DocumentCode
1119816
Title
Candide´s Practical Principles of Experimental Pattern Recognition
Author
Nagy, George
Author_Institution
Department of Computer Science, University of Nebraska, Lincoln, NE 68588.
Issue
2
fYear
1983
fDate
3/1/1983 12:00:00 AM
Firstpage
199
Lastpage
205
Abstract
This correspondence calls attention to several frequently used assumptions and techniques culled from the pattern recognition literature.
Keywords
Additive noise; Chemical engineering; Chemical technology; Computed tomography; Error analysis; Feature extraction; Image processing; Pattern recognition; Systems engineering and theory; Testing; Classification; feature extraction; image processing; machine intelligence; pattern analysis; pattern recognition;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1983.4767372
Filename
4767372
Link To Document