Mathematical Problems in Engineering / 2020 / Article / Tab 4 / Research Article
A Novel Robust Principal Component Analysis Algorithm of Nonconvex Rank Approximation Table 4 The algorithm’s quantity indexes for Wallflower experiment.
Algorithms Evaluation indexes BS CF LS WT TOD MO FA GoDec [38 ] RE 2.325e − 03 3.625e − 03 2.402e − 05 1.0996e − 04 2.5267e − 03 6.7650e − 04 8.2345e − 03 Iteration 20 22 43 12 89 30 21 Rank ( ) 13 3 4 8 16 7 5 RMSE 0.6213 0.7112 0.6322 0.5546 0.7032 0.6505 0.5890 CPU time(s) 28.6702 3.5344 19.2457 0.66918 15.4668 4.3642 6.2168 ALM RE 3.5567e − 04 3.5567e − 06 1.4453e − 05 2.2310e − 06 2.2121e − 04 2.2223e − 05 2.3512e − 05 Iteration 178 149 154 23 204 56 104 Rank ( ) 663 42 26 8 32 13 56 RMSE 0.6534 0.7243 0.6231 0.5043 0.6439 0.7230 0.5546 CPU time(s) 241.5925 34.5612 46.7471 18.5634 568.3478 167.2456 356.2323 RegL1-ALM [24 ] RE 2.426e − 05 1.390e − 05 1.255e − 05 3.5624e − 07 3.4011e − 04 2.5144e − 07 2.8995e − 07 Iteration 144 147 154 55 240 40 48 Rank ( ) 589 237 16 4 98 983 1153 RMSE 0.5937 0.6894 0.6025 0.5523 0.5722 0.6332 0.6534 CPU time(s) 231.5002 28.2874 24.64 20.5867 430.5623 205.8264 284.3467 NCRPCA RE 1.0996e − 07 1.2994e − 07 2.1757e − 07 3.6489e − 08 5.3841e − 07 2.3394e − 07 2.2697e − 07 Iteration 36 23 30 20 48 36 40 Rank ( ) 8 3 4 1 2 3 4 RMSE 0.5546 0.6943 0.6001 0.5014 0.5421 0.6522 0.5867 CPU time(s) 83.8376 1.4279 39.7935 1.0232 128.5847 22.719 54.980 GOSUS [19 ] RE 7.2312e − 02 5.2562 e − 03 4.2231 e − 02 3.231 e − 01 3.2548 e − 00 4.4423 e − 03 2.4323 e − 02 Iteration 10 10 10 7 12 10 10 Rank ( ) 6 5 6 3 18 5 6 RMSE 0.5134 0.7356 0.6654 0.6732 0.7622 0.5821 0.6521 CPU time(s) 2.2312 2.8270 1.2432 1.4058 13.7578 4.6285 5.1747 SLM [22 ] RE 9.6320e − 08 6.2156e − 08 7.5632e − 09 6.5432e − 08 4.5621e − 08 7.3230e − 08 2.3120e − 08 Iteration 27 16 38 14 45 17 32 Rank ( ) 14 5 8 2 3 2 2 RMSE 0.5015 0.7283 0.5213 0.5523 0.5018 0.5689 0.5590 CPU time(s) 29.2312 2.3210 10.2354 3.3421 38.2654 13.6218 24.6654 NNCRPCA RE 9.990e − 08 7.6623e − 07 3.2243e − 09 2.5643e − 08 3.5478e − 09 2.7865e − 08 3.6542e − 09 Iteration 24 16 28 6 22 10 14 Rank ( ) 6 4 3 1 2 2 3 RMSE 0.5032 0.6650 0.5976 0.5000 0.5032 0.5034 0.5530 CPU time(s) 51.4532 2.5426 14.6745 4.2214 48.5523 23.2246 35.6240
BS: Bootstrap; CF: Camouflage; LS: LightSwitch; WT: Waving Trees; TOD: Time of Day; MO: Moved Object; FA: Foreground Aperture. The bold represents the minimum value of the same index in the same subject experiment, and the underline represents the maximum value.