DocumentCode
330292
Title
Approximate case-based learning for object recognition by recall
Author
Ding, Liya ; Wu, Jiankang
Author_Institution
Inst. of Syst. Sci., Nat. Univ. of Singapore, Singapore
Volume
2
fYear
1998
fDate
11-14 Oct 1998
Firstpage
1597
Abstract
A new paradigm for object recognition, so-called recognition-by-recall (Wu, 1997) has been put forward. It leads new research issues in learning. This paper proposes a learning approach for recognition by recall, based on the basic idea of approximate case-based reasoning as an attempt to reach the targets of the object recognition and the formalism of content-based retrieval
Keywords
case-based reasoning; content-based retrieval; learning by example; object recognition; uncertainty handling; approximate case-based learning; approximate case-based reasoning; content-based retrieval; object recognition by recall; pattern classification; Content based retrieval; Feedback; Fuzzy logic; Hair; Humans; Mouth; Object recognition; Pattern classification; Pattern recognition; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.728116
Filename
728116
Link To Document