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
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;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246741
