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In content-based image retrieval (CBIR), content of an image can be expressed in terms of different features such as color, texture, shape, or text annotations. Retrieval based on these features can be various by the way how to combine the feature values. Most of the existing approaches assume a linear relationship between different features, and the usefulness of such systems was limited due to the difficulty in representing high-level concepts using lowlevel features. In this paper, wedoi:10.1142/s1469026801000123 fatcat:mtzkcajwxzfyxmsiggoc6bje2m