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Table 2 Comparison of different algorithms on synthetic data, NMSE is scaled by \(10^{-2}\), CPU time is in seconds, and “sr” denotes the sample ratio

From: Matrix completion via modified schatten 2/3-norm

 

m = 1000

sr = 6.91%

m = 2000

sr = 3.80%

m = 3000

sr = 2.67%

m = 5000

sr = 1.70%

NMSE

Rank

Time

NMSE

Rank

Time

NMSE

Rank

Time

NMSE

Rank

Time

APGL

3.82

68

45.18

3.81

104

447.22

3.66

132

2372.02

3.49

179

21448.57

AIS-impute

3.05

5

5.09

3.61

80

259.82

3.53

80

500.96

3.33

80

1579.33

ASD

4.75

5

1.60

4.81

5

3.29

4.73

5

5.07

4.77

5

9.37

IRNN-TNN

1.83

5

92.85

1.77

5

1046.51

1.70

5

4761.42

1.67

5

23906.09

FaNCL-LSP

1.86

5

2.15

1.78

5

8.81

1.73

5

19.12

1.61

5

39.94

DNNR(\(p=2/3\))

1.84

5

53.04

1.77

5

511.33

1.72

5

3115.31

1.63

5

37198.66

DLRL

1.85

5

32.87

1.78

5

170.94

1.71

5

627.53

1.61

5

15043.28

Proposed

1.83

5

0.36

1.76

5

1.3467

1.70

5

2.0432

1.61

5

5.13