QDFA : query-dependent feature aggregation for medical image retrieval

Huang, Yonggang, Ma, Dianfu, Zhang, Jun and Zhao, Yongwang 2012, QDFA : query-dependent feature aggregation for medical image retrieval, IEICE transactions on information and systems, vol. E95-D, no. 1, pp. 275-279.

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Title QDFA : query-dependent feature aggregation for medical image retrieval
Author(s) Huang, Yonggang
Ma, Dianfu
Zhang, Jun
Zhao, Yongwang
Journal name IEICE transactions on information and systems
Volume number E95-D
Issue number 1
Start page 275
End page 279
Total pages 5
Publisher Denshi Jouhou Tsuushin Gakkai (Institute of Electronics Information and Communication Engineers)
Place of publication Tokyo, Japan
Publication date 2012-01-01
ISSN 0916-8532
1745-1361
Keyword(s) CBIR
feature aggregation
query-dependent
fuzzy SVM
Summary We propose a novel query-dependent feature aggregation (QDFA) method for medical image retrieval. The QDFA method can learn an optimal feature aggregation function for a multi-example query, which takes into account multiple features and multiple examples with different importance. The experiments demonstrate that the QDFA method outperforms three other feature aggregation methods.
Language eng
Field of Research 080704 Information Retrieval and Web Search
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30039527

Document type: Journal Article
Collection: School of Information Technology
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