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Scanning and prediction in multi-dimensional data arrays
Proceedings IEEE International Symposium on Information Theory,
The problem of sequentially scanning and predicting data arranged in a multidimensional array is considered. We introduce the notion of a scandictor, which is any scheme for the sequential scanning and prediction of such multidimensional data. The scandictability of any finite (probabilistic) data array is defined as the best achievable expected "scandiction" performance on that array. The scandictability of any (spatially) stationary random field on is defined as the limit of itsdoi:10.1109/isit.2002.1023589 fatcat:pzh67zj77recfbwqbgsovgwlju