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» Statistical Shape Features in Content-Based Image Retrieval
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ICPR
2000
IEEE
15 years 10 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
69
Voted
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
15 years 1 months ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
15 years 2 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...