Low-rank matrix approximation on Synthetic 100x75 matrices benchmark leaderboard · SOTA2 Research

Low-rank matrix approximation on Synthetic 100x75 matrices

0.0155Min Time (sec)[17]

Evaluation Results

Method	Links
[17]2018.05		0.0155	0.0275	0.0231	0.533	0.6	0.596
BFGD2018.05		0.0155	36.7	51.5	0.505	0.59	0.51
BFGD2018.05		0.0162	51.1	65.2	0.508	0.584	0.508
BFGD2018.05		0.0169	38.6	52.3	0.469	0.594	0.475
[17]2018.05		0.0242	0.0589	0.0459	0.522	0.563	0.544
BFGD2018.05		0.0257	43.2	54.4	0.499	0.582	0.501
BFGD2018.05		0.026	49.5	54.4	0.504	0.549	0.507
[17]2018.05		0.0269	0.0461	0.0404	0.524	0.566	0.542
BFGD2018.05		0.0417	79.2	89.3	0.507	0.533	0.513
[17]2018.05		0.0467	0.336	0.148	0.504	0.536	0.526
[17]2018.05		0.0546	0.891	0.547	0.49	0.514	0.511
[17]2018.05		0.0672	0.624	0.134	0.498	0.52	0.522
[17]2018.05		0.0681	0.224	0.228	0.491	0.493	0.493
[17]2018.05		0.136	1.66	0.539	0.481	0.515	0.502
[17]2018.05		0.19	2.91	2.56	0.473	0.498	0.489
[17]2018.05		0.23	9.6	4.25	0.459	0.497	0.479
BFGD2018.05		52	54.3	54.2	0.506	0.51	0.51
BFGD2018.05		53.6	58.9	57.7	0.478	0.506	0.506
BFGD2018.05		55.1	65.5	67.3	0.495	0.509	0.502
BFGD2018.05		72.7	80.3	77.6	0.502	0.508	0.509