QDFA : query-dependent feature aggregation for medical image retrieval


Autoria(s): Huang, Yonggang; Ma, Dianfu; Zhang, Jun; Zhao, Yongwang
Data(s)

01/01/2012

Resumo

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.<br />

Identificador

http://hdl.handle.net/10536/DRO/DU:30039527

Idioma(s)

eng

Publicador

Denshi Jouhou Tsuushin Gakkai (Institute of Electronics Information and Communication Engineers)

Relação

http://dro.deakin.edu.au/eserv/DU:30039527/huang-yg-qdfaquerydependent-2012.pdf

http://search.ieice.org/bin/summary.php?id=e95-d_1_275

Palavras-Chave #CBIR #feature aggregation #query-dependent #fuzzy SVM
Tipo

Journal Article