Research Article
Recurrent Transformation of Prior Knowledge Based Model for Human Motion Recognition
Algorithm 1
Divergence-based Feature Selection Algorithm.
Input: the set of features to be selected | , the variable initialized as 0, and | initialized as . | Output: the set of final selected features | (1) when | (2) | (3) when | (4) | (5)for to do | (6) searching forward in candidate features set | (7) | (8) | (9) | (10)if then | (11) | (12)break | (13)end if | (14) | (15)if then | (16) | (17)break | (18)end if | searching backward in selected features set | (19)while TRUE do | (20) | (21) | (22)if then | (23) no more redundant features, update | (24) | (25)break | (26)end if | (27) roll back selected feature set | (28) | (29) | (30)if then | (31) | (32)break | (33)end if | (34)if then | (35)break | (36)end if | (37)end while | (38)end for |
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