Can We Recover the Cover?

Abstract

Data analysis typically involves error recovery and detection of regularities as two different key tasks. In this paper we show that there are data types for which these two tasks can be powerfully combined. A common notion of regularity in strings is that of a cover. Data describing measures of a natural coverable phenomenon may be corrupted by errors… (More)
DOI: 10.4230/LIPIcs.CPM.2017.25

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