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The retrieval of stored images matching an input configuration is an important form of content-based retrieval. Exhaustive processing (i.e., retrieval of the best solutions) of configuration similarity queries is, in general, exponential and fast search for sub-optimal solutions is the only way to deal with the vast (and ever increasing) amounts of multimedia information in several real-time applications. In this paper we discuss the utilization of hill climbing heuristics that can provide verydoi:10.1145/345508.345587 dblp:conf/sigir/Papadias00 fatcat:2rnv7poxq5evdkd7hvtzc2egpa