Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference23 articles.
1. D. Zhang, G. Lu, Evaluation of similarity measurement for image retrieval, in: IEEE International Conference on Neural Networks Signals, 2003, pp. 928–931.
2. Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammogragrams;Tourassi;Med. Phys.,2007
3. H. Liu, D. Song, S. Rüger, R. Hu, V. Uren, Comparing dissimilarity measures for content-based image retrieval, in: The Fourth Asia Information Retrieval Conference on Information Retrieval Technology, AIRS’08, Springer-Verlag, Harbin, China, 2008, pp. 44–50.
4. C. Beecks, M.S. Uysal, T. Seidlu, A comparative study of similarity measures for content-based multimedia retrieval, in: IEEE International Conference on Multimedia and Expo (ICME 2010), 2010, pp. 1552–1557.
5. X. Li, Patch-based image processing: from dictionary learning to structural clustering, in: Perceptual Digital Imaging: Methods and Applications—Digital Imaging and Computer Vision, 2012, CRC Press.
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