| 摘要 |
A method for simplification of a matrix based boosting algorithm divides a feature set comprising a plurality of feature data into several subsets, and assigns a number to each subset. The method selects a plurality of number groups including N subsets randomly. The method further computes a value by boosting algorithm according to each of the number groups for obtaining an acceptable false positive value.
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