premise
string
hypothesis
string
label
int64
| method | d.o.f. | matrixelements | fractureelements | | --- | --- | --- | --- | | Box-DFM | 1496 | 2863triangles | 74 | | CC-DFM | 1459 | 1416triangles | 43 |
| EDFM | 1044 | 960quads | 84 | | --- | --- | --- | --- | | mortar-DFM | 3647 | 1384triangles | 63 | | P-XFEM | 1667 | 1320quads | 68 | | D-XFEM | 3514 | 1132triangles | 160 | | MFD | 889233 | 424921mixed | 19287 |
1
| method | d.o.f. | matrixelements | fractureelements | | --- | --- | --- | --- | | Box-DFM | 1496 | 2863triangles | 74 | | CC-DFM | 1459 | 1416triangles | 43 |
| method | d.o.f. | matrixelements | fractureelements | | --- | --- | --- | --- | | Box-DFM | 1422 | 2691triangles | 130 | | CC-DFM | 1481 | 1386triangles | 95 | | EDFM | 1501 | 1369quads | 132 | | mortar-DFM | 3366 | 1280triangles | 75 | | P-XFEM | 1632 | 961quads | 318 | | D-XFEM | 4474 | 1250triangles | 126 | | MFD | 2352280 | 1136456quads | 38600 |
0
| method | d.o.f. | matrixelements | fractureelements | | --- | --- | --- | --- | | Box-DFM | 1496 | 2863triangles | 74 | | CC-DFM | 1459 | 1416triangles | 43 | | EDFM | 1044 | 960quads | 84 | | mortar-DFM | 3647 | 1384triangles | 63 |
| P-XFEM | 1667 | 1320quads | 68 | | --- | --- | --- | --- | | D-XFEM | 3514 | 1132triangles | 160 | | MFD | 889233 | 424921mixed | 19287 |
1
| method | d.o.f. | matrixelements | fractureelements | | --- | --- | --- | --- | | Box-DFM | 1496 | 2863triangles | 74 | | CC-DFM | 1459 | 1416triangles | 43 | | EDFM | 1044 | 960quads | 84 | | mortar-DFM | 3647 | 1384triangles | 63 |
| P-XFEM | 1632 | 961quads | 318 | | --- | --- | --- | --- | | D-XFEM | 4474 | 1250triangles | 126 | | MFD | 2352280 | 1136456quads | 38600 |
0
| Event | FiringRate(perhour) | | --- | --- | | Text | 557.8 | | App | 23.2 |
| Web | 5.6 | | --- | --- | | Location | 3.5 |
1
| Event | FiringRate(perhour) | | --- | --- | | Text | 557.8 | | App | 23.2 |
| Feature | Importance | | --- | --- | | displayid-events-geolocation-0T.norm | 0.117 | | displayid-events-geolocation-0T | 0.114 | | displayid-events-geolocation-1T | 0.114 | | main-adid | 0.030 | | displayid-events-documentid | 0.017 |
0
| Event | FiringRate(perhour) | | --- | --- | | Text | 557.8 |
| App | 23.2 | | --- | --- | | Web | 5.6 | | Location | 3.5 |
1
| Event | FiringRate(perhour) | | --- | --- | | Text | 557.8 |
| main-adid | 0.030 | | --- | --- | | displayid-events-documentid | 0.017 |
0
| (cid:48)<br>M | N | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 66 | 70 | 74 | 78 | 82 | | | | | | | | Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates | | | 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |
| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |
1
| (cid:48)<br>M | N | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 66 | 70 | 74 | 78 | 82 | | | | | | | | Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates | | | 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |
| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) | | --- | --- | --- | --- | | 29 | 435 | 116.6 | 0.27 | | 30 | 465 | 141.6 | 0.30 | | 31 | 496 | 167.9 | 0.34 | | 32 | 528 | 200.9 | 0.38 | | 33 | 561 | 245.0 | 0.44 | | 34 | 595 | 297.4 | 0.50 | | 35 | 630 | 339.7 | 0.54 | | 36 | 666 | 445.4 | 0.67 | | 37 | 703 | 540.2 | 0.77 | | 38 | 741 | 643.8 | 0.87 | | 39 | 780 | 766.1 | 0.98 | | 40 | 820 | 997.2 | 1.22 |
0
| (cid:48)<br>M | N | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 66 | 70 | 74 | 78 | 82 | | | | | | | Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |
| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M | | 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |
1
| (cid:48)<br>M | N | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 66 | 70 | 74 | 78 | 82 | | | | | | | Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |
| 31 | 496 | 167.9 | 0.34 | | --- | --- | --- | --- | | 32 | 528 | 200.9 | 0.38 | | 33 | 561 | 245.0 | 0.44 | | 34 | 595 | 297.4 | 0.50 | | 35 | 630 | 339.7 | 0.54 | | 36 | 666 | 445.4 | 0.67 | | 37 | 703 | 540.2 | 0.77 | | 38 | 741 | 643.8 | 0.87 | | 39 | 780 | 766.1 | 0.98 | | 40 | 820 | 997.2 | 1.22 |
0
| CloudSim[24] | GreenCloud[9] | iCanCloud[3] | | --- | --- | --- | | any | NS2 | OMNET,MPI | | Java | C++/OTcl | C++ | | OpenSource | OpenSource | OpenSource | | Limited(ViaCloudAnalyst) | N | N | | N | Limited(ViaPlug-in) | Y | | N | N | Y | | N | N | Y | | Y | Y | N |
| Y | N | N | | --- | --- | --- | | Seconds | Tensofminutes | seconds | | small | large | medium |
1
| CloudSim[24] | GreenCloud[9] | iCanCloud[3] | | --- | --- | --- | | any | NS2 | OMNET,MPI | | Java | C++/OTcl | C++ | | OpenSource | OpenSource | OpenSource | | Limited(ViaCloudAnalyst) | N | N | | N | Limited(ViaPlug-in) | Y | | N | N | Y | | N | N | Y | | Y | Y | N |
| Node | Benchmark<br>(inGFlops) | CPU<br>(inGHz) | RAM<br>(inGB) | | --- | --- | --- | --- | | Mobile(small) | 1.09 | 1.3(Dual) | 1 | | Mobile(medium) | 1.24 | 1.4(Dual) | 1 | | Cloudlet | 2.56 | 2.5(Quad) | 16 | | Cloud(small) | 2.32 | 2.4(Single) | 1 | | Cloud(medium) | 2.94 | 2.8(Quad) | 7.5 | | Cloud(large) | 3.02 | 2.8(Octa) | 15 |
0
| CloudSim[24] | GreenCloud[9] | iCanCloud[3] | | --- | --- | --- | | any | NS2 | OMNET,MPI | | Java | C++/OTcl | C++ | | OpenSource | OpenSource | OpenSource | | Limited(ViaCloudAnalyst) | N | N | | N | Limited(ViaPlug-in) | Y | | N | N | Y | | N | N | Y |
| Y | Y | N | | --- | --- | --- | | Y | N | N | | Seconds | Tensofminutes | seconds | | small | large | medium |
1
| CloudSim[24] | GreenCloud[9] | iCanCloud[3] | | --- | --- | --- | | any | NS2 | OMNET,MPI | | Java | C++/OTcl | C++ | | OpenSource | OpenSource | OpenSource | | Limited(ViaCloudAnalyst) | N | N | | N | Limited(ViaPlug-in) | Y | | N | N | Y | | N | N | Y |
| Cloud(small) | 2.32 | 2.4(Single) | 1 | | --- | --- | --- | --- | | Cloud(medium) | 2.94 | 2.8(Quad) | 7.5 | | Cloud(large) | 3.02 | 2.8(Octa) | 15 |
0
| Name | Description | Year | | --- | --- | --- | | HVSM | Bitwiseoperationandpositioninduction. | 2005 | | LAPIN-SPAM | Bitwiseoperation. | 2005 | | PLWAP | Positioninduction. | 2005 | | LAPIN | Positioninduction. | 2007 |
| DISC-all | Positioninductionandprefixgrowth. | 2007 | | --- | --- | --- | | UDDAG | Up-DownDirectedAcyclicGraphforsequentialpatternmining. | 2010 |
1
| Name | Description | Year | | --- | --- | --- | | HVSM | Bitwiseoperationandpositioninduction. | 2005 | | LAPIN-SPAM | Bitwiseoperation. | 2005 | | PLWAP | Positioninduction. | 2005 | | LAPIN | Positioninduction. | 2007 |
| Service | #adopters | #usages | | --- | --- | --- | | Bitly | 55,883 | 5,046,710 | | TinyURL | 46,577 | 1,682,459 | | Isgd | 28,050 | 596,895 | | TwURL | 15,215 | 197,568 | | SnURL | 4,462 | 41,823 | | Doiop | 88 | 643 |
0
| Name | Description | Year | | --- | --- | --- | | HVSM | Bitwiseoperationandpositioninduction. | 2005 | | LAPIN-SPAM | Bitwiseoperation. | 2005 | | PLWAP | Positioninduction. | 2005 |
| LAPIN | Positioninduction. | 2007 | | --- | --- | --- | | DISC-all | Positioninductionandprefixgrowth. | 2007 | | UDDAG | Up-DownDirectedAcyclicGraphforsequentialpatternmining. | 2010 |
1
| Name | Description | Year | | --- | --- | --- | | HVSM | Bitwiseoperationandpositioninduction. | 2005 | | LAPIN-SPAM | Bitwiseoperation. | 2005 | | PLWAP | Positioninduction. | 2005 |
| TinyURL | 46,577 | 1,682,459 | | --- | --- | --- | | Isgd | 28,050 | 596,895 | | TwURL | 15,215 | 197,568 | | SnURL | 4,462 | 41,823 | | Doiop | 88 | 643 |
0
| Homosapiens75 | | | --- | --- | | Run1 | Run2 |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 | | --- | --- | --- | --- | --- | --- | --- | | 25 | 0 | 0 | 0 | 0 | 0 | 0 | | 55 | 0 | 0 | 2 | 0 | 1 | 1 | | 75 | 1 | 1 | 2 | 1 | 1 | 3 | | 90 | 0 | 0 | 0 | 0 | 0 | 1 | | 100 | 3 | 5 | 10 | 3 | 5 | 10 |
1
| Homosapiens75 | | | --- | --- | | Run1 | Run2 |
| Musmusculus74 | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | Run1 | Run2 | | | | | | | Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 | | 25 | 1 | 2 | 3 | 2 | 3 | 5 | | 55 | 1 | 1 | 3 | 2 | 2 | 4 | | 75 | 2 | 3 | 5 | 1 | 2 | 5 | | 90 | 3 | 4 | 6 | 3 | 4 | 6 | | 100 | 3 | 5 | 10 | 3 | 5 | 10 |
0
| Homosapiens75 | | | --- | --- | | Run1 | Run2 |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 | | --- | --- | --- | --- | --- | --- | --- | | 25 | 0 | 0 | 0 | 0 | 0 | 0 | | 55 | 0 | 0 | 2 | 0 | 1 | 1 | | 75 | 1 | 1 | 2 | 1 | 1 | 3 | | 90 | 0 | 0 | 0 | 0 | 0 | 1 | | 100 | 3 | 5 | 10 | 3 | 5 | 10 |
1
| Homosapiens75 | | | --- | --- | | Run1 | Run2 |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 | | --- | --- | --- | --- | --- | --- | --- | | 25 | 1 | 2 | 3 | 2 | 3 | 5 | | 55 | 1 | 1 | 3 | 2 | 2 | 4 | | 75 | 2 | 3 | 5 | 1 | 2 | 5 | | 90 | 3 | 4 | 6 | 3 | 4 | 6 | | 100 | 3 | 5 | 10 | 3 | 5 | 10 |
0
| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net | | --- | --- | --- | --- | --- | --- | --- | --- | | WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |
| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 | | --- | --- | --- | --- | --- | --- | --- | --- | | Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 | | MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 | | MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 | | WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 | | WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 | | ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |
1
| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net | | --- | --- | --- | --- | --- | --- | --- | --- | | WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |
| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT | | --- | --- | --- | --- | --- | --- | --- | --- | | WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 | | QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 | | Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 | | MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 | | MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 | | WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 | | WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 | | ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |
0
| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net | | --- | --- | --- | --- | --- | --- | --- | --- | | WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 | | QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 | | Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 | | MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |
| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 | | --- | --- | --- | --- | --- | --- | --- | --- | | WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 | | WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 | | ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |
1
| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net | | --- | --- | --- | --- | --- | --- | --- | --- | | WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 | | QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 | | Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 | | MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |
| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 | | --- | --- | --- | --- | --- | --- | --- | --- | | ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |
0
| Method | NDCG | Precision | Recall | w-AUC | | --- | --- | --- | --- | --- | | Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 | | Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 | | ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 | | PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 | | Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 | | Dot-IxD | 0.5274 | 0.1021 | 0.6911 | 0.7165 |
| Max-I | 0.4736 | 0.0969 | 0.6390 | 0.6555 | | --- | --- | --- | --- | --- | | Sum-I(proposed) | 0.5706 | 0.1006 | 0.6753 | 0.7239 |
1
| Method | NDCG | Precision | Recall | w-AUC | | --- | --- | --- | --- | --- | | Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 | | Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 | | ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 | | PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 | | Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 | | Dot-IxD | 0.5274 | 0.1021 | 0.6911 | 0.7165 |
| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 | | [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 | | [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 | | AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 | | L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 | | NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |
0
| Method | NDCG | Precision | Recall | w-AUC | | --- | --- | --- | --- | --- | | Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 | | Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 | | ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 | | PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 | | Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 |
| Dot-IxD | 0.5274 | 0.1021 | 0.6911 | 0.7165 | | --- | --- | --- | --- | --- | | Max-I | 0.4736 | 0.0969 | 0.6390 | 0.6555 | | Sum-I(proposed) | 0.5706 | 0.1006 | 0.6753 | 0.7239 |
1
| Method | NDCG | Precision | Recall | w-AUC | | --- | --- | --- | --- | --- | | Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 | | Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 | | ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 | | PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 | | Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 |
| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 | | L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 | | NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |
0
| Tracker | | --- | | AUC<br>Prec. |
| AUC<br>Prec. | | --- | | AUC<br>Prec. | | FPS |
1
| Tracker | | --- | | AUC<br>Prec. |
| Tracker | Framerate(fps) | | --- | --- | | ProposedMethod | 0.211 | | Struck | 25.1 | | SCM | 0.771 | | TLD | 36.2 | | CXT | 23.6 | | VTD | 9.82 |
0
| Tracker | | --- | | AUC<br>Prec. | | AUC<br>Prec. |
| AUC<br>Prec. | | --- | | FPS |
1
| Tracker | | --- | | AUC<br>Prec. | | AUC<br>Prec. |
| TLD | 36.2 | | --- | --- | | CXT | 23.6 | | VTD | 9.82 |
0
| Method | 1500 | 5000 | 20000 | 80000 | | --- | --- | --- | --- | --- | | DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) | | HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) | | BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) | | (d,d)2∞ | | | | | | DC | 0.096 | 0.584 | 3.11 | 24.5 | | HF | 0.987 | 3.14 | 12.0 | 47.3 |
| BD | 74.2 | 227 | 940 | 4204 | | --- | --- | --- | --- | --- | | timing(sec) | | | | |
1
| Method | 1500 | 5000 | 20000 | 80000 | | --- | --- | --- | --- | --- | | DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) | | HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) | | BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) | | (d,d)2∞ | | | | | | DC | 0.096 | 0.584 | 3.11 | 24.5 | | HF | 0.987 | 3.14 | 12.0 | 47.3 |
| Method | 1000 | 4000 | 16000 | 64000 | | --- | --- | --- | --- | --- | | DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) | | HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) | | BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) | | (e,e)2∞ | | | | | | DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) | | HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) | | BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) | | (d,d)2∞ | | | | | | DC | 0.152 | 0.636 | 4.54 | 26.9 | | HF | 1.03 | 3.14 | 12.7 | 53.7 | | BD | 28.4 | 182 | 744 | 3395 | | timing(sec) | | | | |
0
| Method | 1500 | 5000 | 20000 | 80000 | | --- | --- | --- | --- | --- | | DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) | | HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) | | BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) | | (d,d)2∞ | | | | | | DC | 0.096 | 0.584 | 3.11 | 24.5 | | HF | 0.987 | 3.14 | 12.0 | 47.3 |
| BD | 74.2 | 227 | 940 | 4204 | | --- | --- | --- | --- | --- | | timing(sec) | | | | |
1
| Method | 1500 | 5000 | 20000 | 80000 | | --- | --- | --- | --- | --- | | DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) | | HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) | | BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) | | (d,d)2∞ | | | | | | DC | 0.096 | 0.584 | 3.11 | 24.5 | | HF | 0.987 | 3.14 | 12.0 | 47.3 |
| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) | | --- | --- | --- | --- | --- | | (e,e)2∞ | | | | | | DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) | | HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) | | BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) | | (d,d)2∞ | | | | | | DC | 0.152 | 0.636 | 4.54 | 26.9 | | HF | 1.03 | 3.14 | 12.7 | 53.7 | | BD | 28.4 | 182 | 744 | 3395 | | timing(sec) | | | | |
0
| Methods | A→W | D→W | W→D | | --- | --- | --- | --- | | GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 | | SA | 15.3 | 50.1 | 56.9 | | DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 | | DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 | | Dlid | 26.1 | 68.9 | 84.9 | | Decaf | 52.20±1.70 | 91.50±1.50 | − | | DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 | | FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 | | FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 | | MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 | | CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 | | FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 | | MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 | | CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 | | MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 | | CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 | | MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 | | MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 | | MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |
| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 | | --- | --- | --- | --- | | MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 | | MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |
1
| Methods | A→W | D→W | W→D | | --- | --- | --- | --- | | GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 | | SA | 15.3 | 50.1 | 56.9 | | DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 | | DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 | | Dlid | 26.1 | 68.9 | 84.9 | | Decaf | 52.20±1.70 | 91.50±1.50 | − | | DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 | | FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 | | FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 | | MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 | | CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 | | FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 | | MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 | | CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 | | MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 | | CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 | | MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 | | MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 | | MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |
| Methods | A→W | D→W | W→D | | --- | --- | --- | --- | | GFK(PLS,PCA) | 46.4±0.5 | 61.3±0.4 | 66.3±0.4 | | SA | 45.0 | 64.8 | 69.9 | | DaNBNN | 52.8±3.7 | 76.6±1.7 | 76.2±2.5 | | DaNN | 53.6±0.2 | 71.2±0.0 | 83.5±0.0 | | Dlid | 51.9 | 78.2 | 89.9 | | DecafS+T | 80.7±2.3 | 94.8±1.2 | − | | DDC | 84.1±0.6 | 95.4±0.4 | 96.3±0.3 | | DAN | 85.6±0.3 | 95.8±0.2 | 96.7±0.2 | | FCR2-c | 80.68±1.50 | 94.81±0.93 | 94.02±1.41 | | FCR1-c | 80.06±1.23 | 95.01±0.57 | 95.21±0.67 | | MLR | 79.32±1.09 | 94.25±0.80 | 94.27±1.15 | | CFV | 73.05±1.86 | 87.52±1.42 | 88.59±1.88 | | FCR1-c+FCR2-c | 81.40±1.63 | 95.27±0.87 | 95.51±1.08 | | MLR+FCR2-c | 83.96±1.66 | 95.95±0.65 | 96.84±0.44 | | CFV+FCR2-c | 83.93±1.94 | 95.21±1.07 | 95.85±0.75 | | MLR+FCR1-c | 82.74±1.37 | 95.78±0.54 | 96.74±0.64 | | CFV+FCR1-c | 82.56±1.79 | 94.62±0.97 | 96.05±0.82 | | MLR+CFV | 81.42±1.22 | 94.79±0.87 | 95.06±1.34 | | MLR+CFV+FCR1-c | 84.16±0.96 | 95.61±0.78 | 96.44±0.85 | | MLR+CFV+FCR2-c | 84.79±1.62 | 95.98±0.50 | 96.89±0.37 | | CFV+FCR1-c+FCR2-c | 83.50±2.06 | 95.24±0.64 | 96.54±0.84 | | MLR+FCR1-c+FCR2-c | 83.59±1.45 | 96.15±0.48 | 96.94±0.64 | | MLR+CFV+FCR1-c+FCR2-c | 84.64±1.57 | 95.95±0.54 | 97.14±0.37 |
0
| Methods | A→W | D→W | W→D | | --- | --- | --- | --- | | GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 | | SA | 15.3 | 50.1 | 56.9 | | DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 | | DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 | | Dlid | 26.1 | 68.9 | 84.9 | | Decaf | 52.20±1.70 | 91.50±1.50 | − |
| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 | | --- | --- | --- | --- | | FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 | | FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 | | MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 | | CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 | | FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 | | MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 | | CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 | | MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 | | CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 | | MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 | | MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 | | MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 | | CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 | | MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 | | MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |
1
| Methods | A→W | D→W | W→D | | --- | --- | --- | --- | | GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 | | SA | 15.3 | 50.1 | 56.9 | | DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 | | DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 | | Dlid | 26.1 | 68.9 | 84.9 | | Decaf | 52.20±1.70 | 91.50±1.50 | − |
| MLR+FCR2-c | 83.96±1.66 | 95.95±0.65 | 96.84±0.44 | | --- | --- | --- | --- | | CFV+FCR2-c | 83.93±1.94 | 95.21±1.07 | 95.85±0.75 | | MLR+FCR1-c | 82.74±1.37 | 95.78±0.54 | 96.74±0.64 | | CFV+FCR1-c | 82.56±1.79 | 94.62±0.97 | 96.05±0.82 | | MLR+CFV | 81.42±1.22 | 94.79±0.87 | 95.06±1.34 | | MLR+CFV+FCR1-c | 84.16±0.96 | 95.61±0.78 | 96.44±0.85 | | MLR+CFV+FCR2-c | 84.79±1.62 | 95.98±0.50 | 96.89±0.37 | | CFV+FCR1-c+FCR2-c | 83.50±2.06 | 95.24±0.64 | 96.54±0.84 | | MLR+FCR1-c+FCR2-c | 83.59±1.45 | 96.15±0.48 | 96.94±0.64 | | MLR+CFV+FCR1-c+FCR2-c | 84.64±1.57 | 95.95±0.54 | 97.14±0.37 |
0
| Method | FRGC4× | FRGC8× | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | | | NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 | | Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 | | KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 | | SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 | | LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 | | MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 | | YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |
| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |
1
| Method | FRGC4× | FRGC8× | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | | | NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 | | Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 | | KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 | | SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 | | LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 | | MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 | | YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |
| Method | LFW-a4× | LFW-a8× | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | | | NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 | | Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 | | KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 | | SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 | | LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 | | MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 | | YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 | | BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 | | GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |
0
| Method | FRGC4× | FRGC8× | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | | | NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 | | Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 | | KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 | | SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 | | LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 | | MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |
| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 | | GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |
1
| Method | FRGC4× | FRGC8× | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | | | NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 | | Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 | | KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 | | SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 | | LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 | | MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |
| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 | | YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 | | BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 | | GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |
0
| s | si | sj | τ(s\|s,s)3ij | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |
| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 0<br>s<br>1−s<br>0 | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 0<br>1<br>0<br>0 |
1
| s | si | sj | τ(s\|s,s)3ij | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |
| s | si | sj | τ(s\|s,s)3ij | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>0<br>0<br>0 | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |
0
| s | si | sj | τ(s\|s,s)3ij | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |
| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 0<br>s<br>1−s<br>0 | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 0<br>1<br>0<br>0 |
1
| s | si | sj | τ(s\|s,s)3ij | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |
| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 | | --- | --- | --- | --- | | -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |
0
| F1-score | @1 | @3 | @5 | | --- | --- | --- | --- | | TFIDF | 0.5 | 0.41 | 0.39 |
| LDA+TFIDF | 0.5 | 0.42 | 0.39 | | --- | --- | --- | --- | | TWDA | 0.57 | 0.5 | 0.47 | | TWDA+TFIDF | 0.58 | 0.5 | 0.47 |
1
| F1-score | @1 | @3 | @5 | | --- | --- | --- | --- | | TFIDF | 0.5 | 0.41 | 0.39 |
| | precision | recall | F1-score | support | | --- | --- | --- | --- | --- | | negative | 0.63 | 0.50 | 0.56 | 493 | | neutral | 0.11 | 0.31 | 0.16 | 127 | | positive | 0.41 | 0.05 | 0.09 | 143 | | avg/total | 0.50 | 0.38 | 0.40 | 763 |
0
| F1-score | @1 | @3 | @5 | | --- | --- | --- | --- | | TFIDF | 0.5 | 0.41 | 0.39 |
| LDA+TFIDF | 0.5 | 0.42 | 0.39 | | --- | --- | --- | --- | | TWDA | 0.57 | 0.5 | 0.47 | | TWDA+TFIDF | 0.58 | 0.5 | 0.47 |
1
| F1-score | @1 | @3 | @5 | | --- | --- | --- | --- | | TFIDF | 0.5 | 0.41 | 0.39 |
| positive | 0.41 | 0.05 | 0.09 | 143 | | --- | --- | --- | --- | --- | | avg/total | 0.50 | 0.38 | 0.40 | 763 |
0
| TaskDom | | | --- | --- | | bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |
| CoNLLtgt | 2.492.951.801.752.131.771.891.76 | | --- | --- | | PubMedtgt | 12.024.155.434.154.143.953.993.61 | | CNNtgt | 10.293.823.673.453.463.443.353.37 | | wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 6.634.354.334.304.324.324.274.11<br>15.904.154.504.104.134.093.603.51<br>5.166.274.854.804.784.725.225.15<br>4.325.364.164.154.274.304.254.90<br>5.056.325.054.985.015.055.275.41<br>5.666.605.425.395.395.535.995.73<br>3.576.593.143.113.153.314.084.89<br>4.605.564.274.224.204.194.484.42<br>4.825.624.634.574.554.554.874.78<br>5.789.135.715.195.205.156.716.30 | | Treebank-brown | 6.355.754.804.754.814.724.724.65 |
1
| TaskDom | | | --- | --- | | bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |
| TaskDom | #Tr#De#Te | #Ft | | --- | --- | --- | | bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 52,9986,6256,626<br>38,0734,7594,761<br>44,3645,5465,547<br>35,8834,4854,487<br>35,0834,3854,387<br>39,6774,9604,961 | 80k<br>109k<br>113k<br>109k<br>96k<br>54k | | CoNLL-src<br>NERtgt | 256,145--<br>29,7915,2588,806 | 368k<br>88k | | PubMed-src<br>POStgt | 950,028--<br>11,2641,98714,554 | 571k<br>39k | | CNN-src<br>Recaptgt | 2,000,000--<br>39,6847,0038,075 | 368k<br>88k | | wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 191,20929,45538,440<br>45,2825,59641,840<br>58,2018,3077,607<br>67,4299,4446,897<br>51,3796,0619,451<br>47,3825,1015,880<br>11,6961,3241,594<br>56,0576,7517,847<br>55,3187,4775,977<br>16,7422,5222,712 | 94k<br>55k<br>144k<br>149k<br>121k<br>95k<br>51k<br>115k<br>112k<br>65k |
0
| TaskDom | | | --- | --- | | bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 | | CoNLLtgt | 2.492.951.801.752.131.771.891.76 | | PubMedtgt | 12.024.155.434.154.143.953.993.61 | | CNNtgt | 10.293.823.673.453.463.443.353.37 |
| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 6.634.354.334.304.324.324.274.11<br>15.904.154.504.104.134.093.603.51<br>5.166.274.854.804.784.725.225.15<br>4.325.364.164.154.274.304.254.90<br>5.056.325.054.985.015.055.275.41<br>5.666.605.425.395.395.535.995.73<br>3.576.593.143.113.153.314.084.89<br>4.605.564.274.224.204.194.484.42<br>4.825.624.634.574.554.554.874.78<br>5.789.135.715.195.205.156.716.30 | | --- | --- | | Treebank-brown | 6.355.754.804.754.814.724.724.65 |
1
| TaskDom | | | --- | --- | | bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 | | CoNLLtgt | 2.492.951.801.752.131.771.891.76 | | PubMedtgt | 12.024.155.434.154.143.953.993.61 | | CNNtgt | 10.293.823.673.453.463.443.353.37 |
| CNN-src<br>Recaptgt | 2,000,000--<br>39,6847,0038,075 | 368k<br>88k | | --- | --- | --- | | wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 191,20929,45538,440<br>45,2825,59641,840<br>58,2018,3077,607<br>67,4299,4446,897<br>51,3796,0619,451<br>47,3825,1015,880<br>11,6961,3241,594<br>56,0576,7517,847<br>55,3187,4775,977<br>16,7422,5222,712 | 94k<br>55k<br>144k<br>149k<br>121k<br>95k<br>51k<br>115k<br>112k<br>65k |
0
| Precision | Recall | F-measure | MAE | | --- | --- | --- | --- | | 0.892 | 0.811 | 0.872 | 0.084 | | 0.852 | 0.746 | 0.825 | 0.132 |
| 0.912 | 0.740 | 0.865 | 0.107 | | --- | --- | --- | --- | | 0.873 | 0.730 | 0.836 | 0.129 |
1
| Precision | Recall | F-measure | MAE | | --- | --- | --- | --- | | 0.892 | 0.811 | 0.872 | 0.084 | | 0.852 | 0.746 | 0.825 | 0.132 |
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 | | Analysis2 | 1 | 0.6 | 0.75 | | Analysis3 | 1 | 0.5 | 0.67 | | Analysis4 | 0.7 | 0.3 | 0.42 | | Average | 0.85 | 0.48 | 0.61 |
0
| Precision | Recall | F-measure | MAE | | --- | --- | --- | --- | | 0.892 | 0.811 | 0.872 | 0.084 |
| 0.852 | 0.746 | 0.825 | 0.132 | | --- | --- | --- | --- | | 0.912 | 0.740 | 0.865 | 0.107 | | 0.873 | 0.730 | 0.836 | 0.129 |
1
| Precision | Recall | F-measure | MAE | | --- | --- | --- | --- | | 0.892 | 0.811 | 0.872 | 0.084 |
| Analysis4 | 0.7 | 0.3 | 0.42 | | --- | --- | --- | --- | | Average | 0.85 | 0.48 | 0.61 |
0
| | MSTSpectralProposed | | --- | --- | | NonnegativeEdge-weights | |
| SDQM:<br>CutIndex: | 0.01960.01780.1449<br>0.57180.61580.5721 | | --- | --- | | NegativeAndPositiveEdge-weights | | | SDQM:<br>CutIndex: | 0.01620.01190.1555<br>0.57100.50470.6037 |
1
| | MSTSpectralProposed | | --- | --- | | NonnegativeEdge-weights | |
| | DSTC2 | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | | | Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 | | LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 | | d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 | | hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 |
0
| | MSTSpectralProposed | | --- | --- | | NonnegativeEdge-weights | |
| SDQM:<br>CutIndex: | 0.01960.01780.1449<br>0.57180.61580.5721 | | --- | --- | | NegativeAndPositiveEdge-weights | | | SDQM:<br>CutIndex: | 0.01620.01190.1555<br>0.57100.50470.6037 |
1
| | MSTSpectralProposed | | --- | --- | | NonnegativeEdge-weights | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | --- | --- | --- | --- | --- | --- | --- | --- | | Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 | | LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 | | d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 | | hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 |
0
| Numbers | 5 | 25 | | --- | --- | --- | | Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |
| Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 | | --- | --- | --- | | Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 | | Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 | | Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |
1
| Numbers | 5 | 25 | | --- | --- | --- | | Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |
| Numbers | 5 | 50 | 80 | | --- | --- | --- | --- | | Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 | | Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 | | Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 | | Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 | | Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |
0
| Numbers | 5 | 25 | | --- | --- | --- | | Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 | | Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 | | Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |
| Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 | | --- | --- | --- | | Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |
1
| Numbers | 5 | 25 | | --- | --- | --- | | Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 | | Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 | | Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |
| Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 | | --- | --- | --- | --- | | Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |
0
| | | | | --- | --- | --- | | Somali(som) | | | | Test | 95 | 10m | | | | | | English(eng) | | | | | | | | Luganda(lu) | | |
| | | | | --- | --- | --- | | Acholi(ac) | | | | | | | | English-isiZulu(ez) | | | | | | | | English-isiXhosa(ex) | | | | | | | | English-Setswana(et) | | | | | | | | English-Sesotho(es) | | | | | | | | TotalTrain | 56.3k | 58.55h |
1
| | | | | --- | --- | --- | | Somali(som) | | | | Test | 95 | 10m | | | | | | English(eng) | | | | | | | | Luganda(lu) | | |
| | CROATIAN | ENGLISH | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR | | N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 | | K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 | | L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 | | C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 | | T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 | | ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |
0
| | | | | --- | --- | --- | | Somali(som) | | |
| Test | 95 | 10m | | --- | --- | --- | | | | | | English(eng) | | | | | | | | Luganda(lu) | | | | | | | | Acholi(ac) | | | | | | | | English-isiZulu(ez) | | | | | | | | English-isiXhosa(ex) | | | | | | | | English-Setswana(et) | | | | | | | | English-Sesotho(es) | | | | | | | | TotalTrain | 56.3k | 58.55h |
1
| | | | | --- | --- | --- | | Somali(som) | | |
| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |
0
| Threshold | Training | Testing | Overall | | | | | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | 0.4 | 78 | 47 | 74 | 47 | 119 | 73 | | | | | | | | | | 0.42 | 58 | 35 | 46 | 30 | 79 | 51 |
| | | | | | | | | --- | --- | --- | --- | --- | --- | --- | | 0.44 | 45 | 28 | 34 | 25 | 62 | 41 | | | | | | | | | | 0.46 | 26 | 18 | 22 | 16 | 38 | 27 | | | | | | | | |
1
| Threshold | Training | Testing | Overall | | | | | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | 0.4 | 78 | 47 | 74 | 47 | 119 | 73 | | | | | | | | | | 0.42 | 58 | 35 | 46 | 30 | 79 | 51 |
| | CNN | Dailymail | | | | --- | --- | --- | --- | --- | | #Training | Val | Test | Val | Test | | 10 | 35.2 | 41.6 | 45.7 | 43.6 | | 20 | 57.4 | 55.1 | 57.2 | 56.2 | | 30 | 56.7 | 60.2 | 61.4 | 60.3 | | 40 | 57 | 60 | 62.3 | 61.3 | | 50 | 60.3 | 63.1 | 63.5 | 62.5 | | 100 | 61.5 | 63.9 | 65.4 | 64.6 | | 200 | 62.5 | 64.9 | 67.3 | 65.2 | | 500 | 62.8 | 65 | 67.5 | 66.3 | | 1000 | 62.9 | 65.2 | 68.3 | 66.7 | | 2000 | 63.2 | 65.2 | 69.0 | 67.3 | | 5000 | 64.3 | 65.8 | 69.1 | 67.3 |
0
| Threshold | Training | Testing | Overall | | | | | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | 0.4 | 78 | 47 | 74 | 47 | 119 | 73 | | | | | | | | | | 0.42 | 58 | 35 | 46 | 30 | 79 | 51 | | | | | | | | | | 0.44 | 45 | 28 | 34 | 25 | 62 | 41 | | | | | | | | |
| 0.46 | 26 | 18 | 22 | 16 | 38 | 27 | | --- | --- | --- | --- | --- | --- | --- | | | | | | | | |
1
| Threshold | Training | Testing | Overall | | | | | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | 0.4 | 78 | 47 | 74 | 47 | 119 | 73 | | | | | | | | | | 0.42 | 58 | 35 | 46 | 30 | 79 | 51 | | | | | | | | | | 0.44 | 45 | 28 | 34 | 25 | 62 | 41 | | | | | | | | |
| 100 | 61.5 | 63.9 | 65.4 | 64.6 | | --- | --- | --- | --- | --- | | 200 | 62.5 | 64.9 | 67.3 | 65.2 | | 500 | 62.8 | 65 | 67.5 | 66.3 | | 1000 | 62.9 | 65.2 | 68.3 | 66.7 | | 2000 | 63.2 | 65.2 | 69.0 | 67.3 | | 5000 | 64.3 | 65.8 | 69.1 | 67.3 |
0
| | | ARCORIENTED | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | |
| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 | | --- | --- | --- | --- | --- | --- | --- | --- | | s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 | | s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 | | s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 | | s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 | | s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |
1
| | | ARCORIENTED | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | |
| | | | | | | | --- | --- | --- | --- | --- | --- | | frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 | | frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 | | frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 | | rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 | | geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |
0
| | | ARCORIENTED | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | |
| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 | | --- | --- | --- | --- | --- | --- | --- | --- | | s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 | | s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 | | s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 | | s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 | | s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |
1
| | | ARCORIENTED | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | |
| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 | | --- | --- | --- | --- | --- | --- | | frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 | | rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 | | geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |
0
| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | N | M | C | µ | I1 | I3 | R0 | R2 | | 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 | | 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 | | 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 | | 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |
| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 | | --- | --- | --- | --- | --- | --- | --- | --- | | 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |
1
| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | N | M | C | µ | I1 | I3 | R0 | R2 | | 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 | | 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 | | 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 | | 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |
| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 | | | | | | --- | --- | --- | --- | --- | --- | --- | | N | M | µ | I1 | I3 | R0 | R2 | | 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 | | 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 | | 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 | | 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 | | 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 | | 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |
0
| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | N | M | C | µ | I1 | I3 | R0 | R2 | | 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |
| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 | | --- | --- | --- | --- | --- | --- | --- | --- | | 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 | | 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 | | 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 | | 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |
1
| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | N | M | C | µ | I1 | I3 | R0 | R2 | | 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |
| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 | | --- | --- | --- | --- | --- | --- | --- | | 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 | | 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 | | 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 | | 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |
0
| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 | | --- | --- | --- | --- | --- | | E(st)n | 5.17 | 5.36 | 22.94 | 22.25 |
| Var(st)n | 0.56 | 0.91 | 3.98 | 4.25 | | --- | --- | --- | --- | --- | | E(st)(cid:96) | 3.77 | 3.65 | 1.03 | 1.04 | | Var(st)(cid:96) | 4.68 | 9.92 | 0.97 | 0.97 | | E(hp)n | 1.29 | 1.18 | 11.81 | 13.04 | | Var(hp)n | 0.50 | 0.21 | 4.27 | 4.29 | | E(hp)(cid:96) | 7.16 | 5.55 | 0.47 | 0.51 | | Var(hp)(cid:96) | 6.85 | 13.38 | 0.70 | 0.74 |
1
| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 | | --- | --- | --- | --- | --- | | E(st)n | 5.17 | 5.36 | 22.94 | 22.25 |
| \|V\|(cid:101) | min(\|V\|)(cid:101) | max(\|V\|)(cid:101) | max(q)n | cn | Time(sec.) | | --- | --- | --- | --- | --- | --- | | 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 | | 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 | | 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 | | 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 | | 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 | | 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 | | 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |
0
| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 | | --- | --- | --- | --- | --- | | E(st)n | 5.17 | 5.36 | 22.94 | 22.25 | | Var(st)n | 0.56 | 0.91 | 3.98 | 4.25 | | E(st)(cid:96) | 3.77 | 3.65 | 1.03 | 1.04 | | Var(st)(cid:96) | 4.68 | 9.92 | 0.97 | 0.97 | | E(hp)n | 1.29 | 1.18 | 11.81 | 13.04 |
| Var(hp)n | 0.50 | 0.21 | 4.27 | 4.29 | | --- | --- | --- | --- | --- | | E(hp)(cid:96) | 7.16 | 5.55 | 0.47 | 0.51 | | Var(hp)(cid:96) | 6.85 | 13.38 | 0.70 | 0.74 |
1
| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 | | --- | --- | --- | --- | --- | | E(st)n | 5.17 | 5.36 | 22.94 | 22.25 | | Var(st)n | 0.56 | 0.91 | 3.98 | 4.25 | | E(st)(cid:96) | 3.77 | 3.65 | 1.03 | 1.04 | | Var(st)(cid:96) | 4.68 | 9.92 | 0.97 | 0.97 | | E(hp)n | 1.29 | 1.18 | 11.81 | 13.04 |
| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 | | --- | --- | --- | --- | --- | --- | | 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 | | 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 | | 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |
0
| meanlog | impactfactor | | | | --- | --- | --- | --- | | score | journal | journal | score |
| 3.24 | IEEETPATTERNANAL | IEEETPATTERNANAL | 3.58 | | --- | --- | --- | --- | | 2.99 | IEEETIMAGEPROCESS | ARTIFINTELL | 3.01 | | 2.90 | NEURALCOMPUT | IEEETNEURALNETWOR | 2.77 | | 2.79 | IEEETNEURALNETWOR | IEEETIMAGEPROCESS | 2.46 | | 2.45 | ARTIFINTELL | NEURALCOMPUT | 2.33 | | 2.28 | IEEETINFORMTHEORY | IEEETINFORMTHEORY | 2.31 | | 2.23 | PATTERNRECOGN | IEEETCOMPUT | 1.68 | | 2.22 | COMMUNACM | COMMUNACM | 1.60 | | 2.10 | IEEETCOMPUT | FUZZYSETSYST | 1.37 | | 1.68 | FUZZYSETSYST | PATTERNRECOGN | 0.85 |
1
| meanlog | impactfactor | | | | --- | --- | --- | --- | | score | journal | journal | score |
| | Noiseless | Noisy | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 | | TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 | | FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 | | D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 | | ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 | | ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |
0
| meanlog | impactfactor | | | | --- | --- | --- | --- | | score | journal | journal | score | | 3.24 | IEEETPATTERNANAL | IEEETPATTERNANAL | 3.58 |
| 2.99 | IEEETIMAGEPROCESS | ARTIFINTELL | 3.01 | | --- | --- | --- | --- | | 2.90 | NEURALCOMPUT | IEEETNEURALNETWOR | 2.77 | | 2.79 | IEEETNEURALNETWOR | IEEETIMAGEPROCESS | 2.46 | | 2.45 | ARTIFINTELL | NEURALCOMPUT | 2.33 | | 2.28 | IEEETINFORMTHEORY | IEEETINFORMTHEORY | 2.31 | | 2.23 | PATTERNRECOGN | IEEETCOMPUT | 1.68 | | 2.22 | COMMUNACM | COMMUNACM | 1.60 | | 2.10 | IEEETCOMPUT | FUZZYSETSYST | 1.37 | | 1.68 | FUZZYSETSYST | PATTERNRECOGN | 0.85 |
1
| meanlog | impactfactor | | | | --- | --- | --- | --- | | score | journal | journal | score | | 3.24 | IEEETPATTERNANAL | IEEETPATTERNANAL | 3.58 |
| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 | | D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 | | ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 | | ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |
0
| | Head | Torso | Legs | | --- | --- | --- | --- | | Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 | | Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 | | Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |
| Dog | 67.7/75.0 | 51.7/57.9 | 29.7/44.9 | | --- | --- | --- | --- | | Horse | 52.0/66.8 | 71.2/92.5 | 37.7/82.5 | | Sheep | 24.9/70.6 | 79.2/88.6 | 16.1/80.3 |
1
| | Head | Torso | Legs | | --- | --- | --- | --- | | Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 | | Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 | | Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |
| | cat | chair | cow | diningtable | dog | horse | motorbike | | --- | --- | --- | --- | --- | --- | --- | --- | | RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 | | RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 | | RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 | | RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |
0
| | Head | Torso | Legs | | --- | --- | --- | --- | | Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 | | Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 | | Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |
| Dog | 67.7/75.0 | 51.7/57.9 | 29.7/44.9 | | --- | --- | --- | --- | | Horse | 52.0/66.8 | 71.2/92.5 | 37.7/82.5 | | Sheep | 24.9/70.6 | 79.2/88.6 | 16.1/80.3 |
1
| | Head | Torso | Legs | | --- | --- | --- | --- | | Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 | | Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 | | Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |
| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 | | --- | --- | --- | --- | --- | --- | --- | --- | | RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 | | RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |
0