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Discard-based search is a new approach to searching the content of complex, unlabeled, nonindexed data such as digital photographs, medical images, and realtime surveillance data. The essence of this approach is query-specific content-based computation, pipelined with human cognition. In this approach, query-specific parallel computation shrinks a search task down to human scale, thus allowing the expertise, judgment, and intuition of an expert to be brought to bear on the specificity anddoi:10.1007/s13174-010-0001-z fatcat:l54nz2pm5zdgznq3wa4y3gxtyi