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Fig. 1 Learning methods using linear and non-linear feature space.
Fig. 2 The prototype of rare event learning functions using distance and similarity of sensor streams produced by trajectory beingcross-validated with ground truth for stream quality.
TABLE I A typical sensor dataset.
Fig. 3 S1&S3 end up in the same terminal node. The Big-Table proximity count is incremented by 1
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