Fast online SVDD based on support vectors merging

ICACI, pp. 197-203, 2018.

Cited by: 1|Views6
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Abstract:

Online support vector data description (SVDD) performs excellently when dealing with novelty detection problems. This method only uses the support vectors (SVs) as an initial training set and incrementally updates the SVDD classifier when receiving new samples. Therefore, as the SVs number tends to grow along with the number of training s...More

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