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Mining frequent patterns from transaction database, time series and data stream is an important task now. Last decade, there are mainly two kinds of algorithms on frequent pattern mining. One is Apriori based on generating and testing, the other is FP-growth based on dividing and conquering, which has been widely used in static data mining. But with the new requirements of data mining, mining frequent...
A low-rate video coding scheme which uses pruned tree-structured vector quantization (PTSVQ) is introduced. Designed by optimally growing the tree to a large rate and then pruning back to lower rates, PTSVQ is both a multirate and a variable rate coding technique. Since it has more flexibility than full-search VQ and fixed-rate tree-structured VQ, it is able to perform better. Furthermore, the tree...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.