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148
Voted
MIR
2010
ACM
15 years 5 months ago
2010
ACM
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
148
Voted
MIR
2005
ACM
15 years 9 months ago
2005
ACM
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
125
Voted
MIR
2005
ACM
15 years 9 months ago
2005
ACM
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
163
Voted
MIR
2004
ACM
15 years 9 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
137
Voted
MIR
2004
ACM
15 years 9 months ago
2004
ACM
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...