Using a Selective Ensemble Support Vector Machine to Fuse Multimodal Features for Human Action Recognition

Table 3

CCCSA.

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Input: The basic classifier set , the diversity threshold , the verification set , the number of base classifiers set and selective ensemble scale N

Process:

(1) While ( {

(2)

(3)

(4)

(5)

(6) The error rates of , , , and on verification set were calculated, with the min error rates saved

, ,

,

(7)

(8) if

(9) else if

(10) else if

(11) Else

(12) end}

(13);

Output: The selected base classifier set

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