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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