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|Title:||Evaluation of feature measures and similarity measures for content-based retrieval||Authors:||Wu, Jiankang
|Issue Date:||1995||Citation:||Wu, Jiankang,Lam, Chianprong,Senthilkumar, G. (1995). Evaluation of feature measures and similarity measures for content-based retrieval. Proceedings of SPIE - The International Society for Optical Engineering 2606 : 258-268. ScholarBank@NUS Repository.||Abstract:||Evaluation is a critical issue in any information systems. This problem has become more and more important with the rapid development of multimedia systems. Feature measures and similarity measures play a central role in content-based retrieval. Evaluation of their effectiveness and efficiency then become a key issue in assessing the performance of a content-based multimedia system. A learning algorithm has been studied to find a suitable and hopefully the best similarity function for a given set of feature measure and a given set of training data set.||Source Title:||Proceedings of SPIE - The International Society for Optical Engineering||URI:||http://scholarbank.nus.edu.sg/handle/10635/111248||ISBN:||0819419702||ISSN:||0277786X|
|Appears in Collections:||Staff Publications|
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