DocumentCode
2304240
Title
Feature selection for semisupervised learning applied to image retrieval
Author
Najjar, Micheline ; Ambroise, Christophe ; Cocquerez, Jean-Pierre
Author_Institution
Lab. Heudiasyc, Univ. of Technol., Compiegne, France
Volume
2
fYear
2003
fDate
14-17 Sept. 2003
Abstract
This paper proposes a feature selection method for content based image retrieval. The original method is developed in the context of semisupervised learning. It is illustrated using medical image database for diagnoses purposes.
Keywords
content-based retrieval; image retrieval; learning (artificial intelligence); medical image processing; visual databases; content based image retrieval; diagnoses purpose; feature selection method; medical image database; semisupervised learning; Biomedical imaging; Clustering algorithms; Content based retrieval; Feedback; Image databases; Image retrieval; Information retrieval; Laboratories; Medical diagnostic imaging; Semisupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1246741
Filename
1246741
Link To Document