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14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)
This paper presents a highly scalable and adaptable colearning framework on multimodal image retrieval and image annotation. The co-learning framework is based on the multiple instance learning theory. While this framework is a general framework that may be used in any specific domains, to evaluate this framework, we apply it to the Berkeley Drosophila ISH embryo image database for the evaluations of the retrieval and annotation performance. In addition, we also apply this framework todoi:10.1109/iciapw.2007.35 fatcat:eem4rr26nbhzxngykeza7y62pi