premise string | hypothesis string | label int64 |
|---|---|---|
| Accuracy/n | 100 | 1K | 10K | 50K |
| --- | --- | --- | --- | --- |
| 0.5 | 1 | 0.99 | 0.52 | 0.78 |
| 0.6 | 1 | 0.92 | 0.75 | 0.88 | | | 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |
| --- | --- | --- | --- | --- |
| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |
| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |
| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 | | 1 |
| Accuracy/n | 100 | 1K | 10K | 50K |
| --- | --- | --- | --- | --- |
| 0.5 | 1 | 0.99 | 0.52 | 0.78 |
| 0.6 | 1 | 0.92 | 0.75 | 0.88 | | | Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |
| Specificity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 | | 0 |
| Accuracy/n | 100 | 1K | 10K | 50K |
| --- | --- | --- | --- | --- |
| 0.5 | 1 | 0.99 | 0.52 | 0.78 | | | 0.6 | 1 | 0.92 | 0.75 | 0.88 |
| --- | --- | --- | --- | --- |
| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |
| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |
| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |
| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 | | 1 |
| Accuracy/n | 100 | 1K | 10K | 50K |
| --- | --- | --- | --- | --- |
| 0.5 | 1 | 0.99 | 0.52 | 0.78 | | | R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 | | 0 |
| Method | Precision | Recall | F1 |
| --- | --- | --- | --- |
| DNN | 0.98295 | 0.67847 | 0.80281 |
| SVM | 0.92500 | 0.69901 | 0.79628 |
| TABOR | 0.86171 | 0.78803 | 0.82322 |
| 1DCNNcombinedrecords | 0.95 | 0.656 | 0.766 |
| 1DCNNcombinedattacks | 0.95 | 0.787 | 0.861 | | | 1DCNNensembledrecords | 0.867 | 0.854 | 0.860 |
| --- | --- | --- | --- |
| 1DCNNensembledattacks | 1.0 | 0.853 | 0.920 | | 1 |
| Method | Precision | Recall | F1 |
| --- | --- | --- | --- |
| DNN | 0.98295 | 0.67847 | 0.80281 |
| SVM | 0.92500 | 0.69901 | 0.79628 |
| TABOR | 0.86171 | 0.78803 | 0.82322 |
| 1DCNNcombinedrecords | 0.95 | 0.656 | 0.766 |
| 1DCNNcombinedattacks | 0.95 | 0.787 | 0.861 | | | Model | Precision | Recall | F1 |
| --- | --- | --- | --- |
| SVMfact | 100.00 | 40.20 | 57.34 |
| NNfact | 87.14 | 59.80 | 70.93 |
| NNfactart | 87.18 | 66.67 | 75.56 |
| NNfactsupvart | 90.00 | 70.59 | 79.12 | | 0 |
| Method | Precision | Recall | F1 |
| --- | --- | --- | --- |
| DNN | 0.98295 | 0.67847 | 0.80281 |
| SVM | 0.92500 | 0.69901 | 0.79628 |
| TABOR | 0.86171 | 0.78803 | 0.82322 | | | 1DCNNcombinedrecords | 0.95 | 0.656 | 0.766 |
| --- | --- | --- | --- |
| 1DCNNcombinedattacks | 0.95 | 0.787 | 0.861 |
| 1DCNNensembledrecords | 0.867 | 0.854 | 0.860 |
| 1DCNNensembledattacks | 1.0 | 0.853 | 0.920 | | 1 |
| Method | Precision | Recall | F1 |
| --- | --- | --- | --- |
| DNN | 0.98295 | 0.67847 | 0.80281 |
| SVM | 0.92500 | 0.69901 | 0.79628 |
| TABOR | 0.86171 | 0.78803 | 0.82322 | | | NNfact | 87.14 | 59.80 | 70.93 |
| --- | --- | --- | --- |
| NNfactart | 87.18 | 66.67 | 75.56 |
| NNfactsupvart | 90.00 | 70.59 | 79.12 | | 0 |
| TotalNodes | 6 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 15 | PacketgenerationInterval | 1msec | | | Tc | 1.5msec | Queuelength | 100 |
| --- | --- | --- | --- |
| Td | 2msec | Routing | AODV |
| Ta | 0.5msec | Simulationtime | 10sec |
| Tq | 20msec | Source | CBR |
| Flow1 | Node1to3 | PIofnode1 | 21 |
| Flow2 | Node2to4 | PIofnode2 | 18 |
| ThroughputNode1 | 306.36kbps | ThroughputNode3 | 136.62kbps | | 1 |
| TotalNodes | 6 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 15 | PacketgenerationInterval | 1msec | | | TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 13 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 |
| Td | 2msec | Routing | AODV |
| Ta | 0.5msec | Simulationtime | 20sec |
| Tq | 20msec | Source | CBR |
| Flow1 | Node1to2 | Flow3 | Node5to6 |
| Flow2 | Node3to4 | Flow4 | Node7to8 |
| Throughputflow1 | 89.79kbps | Throughputflow3 | 91.21kbps |
| Throughputflow2 | 84.08kbps | Throughputflow4 | 89.79kbps | | 0 |
| TotalNodes | 6 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 15 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 | | | Td | 2msec | Routing | AODV |
| --- | --- | --- | --- |
| Ta | 0.5msec | Simulationtime | 10sec |
| Tq | 20msec | Source | CBR |
| Flow1 | Node1to3 | PIofnode1 | 21 |
| Flow2 | Node2to4 | PIofnode2 | 18 |
| ThroughputNode1 | 306.36kbps | ThroughputNode3 | 136.62kbps | | 1 |
| TotalNodes | 6 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 15 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 | | | Tq | 20msec | Source | CBR |
| --- | --- | --- | --- |
| Flow1 | Node1to2 | Flow3 | Node5to6 |
| Flow2 | Node3to4 | Flow4 | Node7to8 |
| Throughputflow1 | 89.79kbps | Throughputflow3 | 91.21kbps |
| Throughputflow2 | 84.08kbps | Throughputflow4 | 89.79kbps | | 0 |
| | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- |
| bag | 0 | 0 | 0 | 0 | 0 | 0 |
| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |
| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |
| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |
| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |
| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |
| blanket | 0 | 0 | 0 | 0 | 0 | 0 |
| bmx | 1 | 0 | 0 | 0 | 0 | 0 |
| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |
| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |
| book | 2 | 4 | 6 | 3 | 3.2 | 5 |
| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |
| car1 | 1 | 1 | 1 | 1 | 1 | 1 |
| car2 | 0 | 0 | 0 | 0 | 0 | 0 |
| crossing | 1 | 1 | 1 | 1 | 1 | 1 |
| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |
| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |
| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |
| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |
| fish3 | 0 | 0 | 0 | 0 | 0 | 0 | | | fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |
| --- | --- | --- | --- | --- | --- | --- |
| girl | 1 | 1 | 1 | 1 | 1 | 1 |
| glove | 2 | 2 | 2 | 2 | 2 | 2 |
| godfather | 0 | 0 | 0 | 0 | 0 | 0 |
| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |
| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |
| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |
| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |
| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |
| hand | 7 | 8 | 7 | 7 | 7 | 6 |
| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |
| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |
| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |
| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |
| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |
| leaves | 1 | 3 | 3 | 3 | 3 | 3 |
| marching | 0 | 0 | 0 | 0 | 0 | 0 |
| matrix | 1 | 2 | 2 | 2 | 2 | 1 |
| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |
| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |
| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |
| octopus | 0 | 0 | 0 | 1 | 1 | 0 |
| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |
| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |
| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |
| racing | 0 | 0 | 0 | 0 | 0 | 0 |
| road | 0 | 0 | 0 | 0 | 0 | 0 |
| shaking | 0 | 0 | 1 | 1 | 1 | 0 |
| sheep | 0 | 0 | 0 | 0 | 0 | 0 |
| singer1 | 0 | 0 | 0 | 0 | 0 | 0 |
| singer2 | 0 | 1 | 1 | 2 | 1 | 1 |
| singer3 | 1.93 | 0 | 0 | 1 | 1 | 1 |
| soccer1 | 2.93 | 3 | 2 | 2 | 1 | 1 |
| soccer2 | 2 | 5 | 2 | 4 | 4 | 2 |
| soldier | 1 | 1 | 1 | 1 | 1 | 1 |
| sphere | 0 | 0 | 0 | 0 | 0 | 0 |
| tiger | 0 | 0 | 0 | 0 | 0 | 0 |
| traffic | 0 | 0 | 0 | 0 | 0 | 0.2 |
| tunnel | 0 | 0 | 0 | 0 | 0 | 0 |
| wiper | 0.4 | 0 | 0 | 0 | 0 | 0 |
| mean | 0.93 | 1.38 | 1.38 | 1.3 | 1.28 | 1.28 |
| | | | | | | | | 1 |
| | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- |
| bag | 0 | 0 | 0 | 0 | 0 | 0 |
| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |
| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |
| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |
| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |
| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |
| blanket | 0 | 0 | 0 | 0 | 0 | 0 |
| bmx | 1 | 0 | 0 | 0 | 0 | 0 |
| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |
| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |
| book | 2 | 4 | 6 | 3 | 3.2 | 5 |
| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |
| car1 | 1 | 1 | 1 | 1 | 1 | 1 |
| car2 | 0 | 0 | 0 | 0 | 0 | 0 |
| crossing | 1 | 1 | 1 | 1 | 1 | 1 |
| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |
| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |
| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |
| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |
| fish3 | 0 | 0 | 0 | 0 | 0 | 0 | | | | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- |
| bag | 0.45 | 0.45 | 0.45 | 0.41 | 0.37 | 0.31 |
| ball1 | 0.8 | 0.8 | 0.8 | 0.81 | 0.8 | 0.8 |
| ball2 | 0.44 | 0.31 | 0.38 | 0.3 | 0.47 | 0.45 |
| basketball | 0.6 | 0.55 | 0.55 | 0.6 | 0.62 | 0.61 |
| birds1 | 0.52 | 0.53 | 0.52 | 0.5 | 0.53 | 0.53 |
| birds2 | 0.29 | 0.28 | 0.32 | 0.28 | 0.28 | 0.28 |
| blanket | 0.58 | 0.61 | 0.61 | 0.64 | 0.62 | 0.61 |
| bmx | 0.24 | 0.42 | 0.42 | 0.42 | 0.43 | 0.42 |
| bolt1 | 0.52 | 0.66 | 0.67 | 0.67 | 0.68 | 0.68 |
| bolt2 | 0.56 | 0.48 | 0.57 | 0.58 | 0.58 | 0.57 |
| book | 0.41 | 0.39 | 0.38 | 0.39 | 0.37 | 0.46 |
| butterfly | 0.45 | 0.4 | 0.4 | 0.41 | 0.4 | 0.41 |
| car1 | 0.74 | 0.74 | 0.75 | 0.76 | 0.75 | 0.74 |
| car2 | 0.77 | 0.73 | 0.74 | 0.75 | 0.77 | 0.78 |
| crossing | 0.71 | 0.69 | 0.69 | 0.7 | 0.71 | 0.71 |
| dinosaur | 0.41 | 0.29 | 0.28 | 0.32 | 0.32 | 0.43 |
| fernando | 0.38 | 0.35 | 0.32 | 0.4 | 0.41 | 0.42 |
| fish1 | 0.43 | 0.4 | 0.42 | 0.53 | 0.52 | 0.52 |
| fish2 | 0.34 | 0.42 | 0.39 | 0.34 | 0.34 | 0.33 |
| fish3 | 0.6 | 0.61 | 0.61 | 0.59 | 0.58 | 0.58 |
| fish4 | 0.46 | 0.43 | 0.31 | 0.42 | 0.43 | 0.43 |
| girl | 0.63 | 0.68 | 0.68 | 0.69 | 0.69 | 0.69 |
| glove | 0.52 | 0.52 | 0.53 | 0.51 | 0.53 | 0.55 |
| godfather | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 |
| graduate | 0.38 | 0.47 | 0.48 | 0.49 | 0.46 | 0.47 |
| gymnastics1 | 0.37 | 0.38 | 0.36 | 0.37 | 0.39 | 0.39 |
| gymnastics2 | 0.5 | 0.5 | 0.49 | 0.52 | 0.5 | 0.5 |
| gymnastics3 | 0.29 | 0.39 | 0.35 | 0.37 | 0.33 | 0.29 |
| gymnastics4 | 0.5 | 0.44 | 0.43 | 0.42 | 0.43 | 0.44 |
| hand | 0.43 | 0.4 | 0.38 | 0.42 | 0.41 | 0.44 |
| handball1 | 0.6 | 0.57 | 0.6 | 0.62 | 0.62 | 0.57 |
| handball2 | 0.46 | 0.49 | 0.52 | 0.52 | 0.54 | 0.44 |
| helicopter | 0.38 | 0.51 | 0.51 | 0.49 | 0.47 | 0.47 |
| iceskater1 | 0.51 | 0.52 | 0.52 | 0.56 | 0.56 | 0.54 |
| iceskater2 | 0.58 | 0.53 | 0.53 | 0.53 | 0.55 | 0.54 |
| leaves | 0.39 | 0.13 | 0.13 | 0.3 | 0.3 | 0.29 |
| marching | 0.74 | 0.75 | 0.75 | 0.74 | 0.74 | 0.75 |
| matrix | 0.66 | 0.55 | 0.55 | 0.61 | 0.61 | 0.54 |
| motocross1 | 0.47 | 0.42 | 0.42 | 0.42 | 0.39 | 0.39 |
| motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |
| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |
| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |
| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |
| pedestrian2 | 0.3 | 0.45 | 0.49 | 0.38 | 0.37 | 0.34 |
| rabbit | 0.41 | 0.23 | 0.33 | 0.32 | 0.41 | 0.29 |
| racing | 0.52 | 0.42 | 0.42 | 0.4 | 0.4 | 0.41 |
| road | 0.58 | 0.58 | 0.57 | 0.62 | 0.64 | 0.67 |
| shaking | 0.66 | 0.64 | 0.69 | 0.73 | 0.76 | 0.68 |
| sheep | 0.49 | 0.5 | 0.5 | 0.5 | 0.52 | 0.53 |
| singer1 | 0.6 | 0.65 | 0.68 | 0.61 | 0.57 | 0.41 |
| singer2 | 0.69 | 0.65 | 0.6 | 0.54 | 0.66 | 0.64 |
| singer3 | 0.4 | 0.23 | 0.25 | 0.16 | 0.15 | 0.15 |
| soccer1 | 0.52 | 0.48 | 0.53 | 0.53 | 0.55 | 0.51 |
| soccer2 | 0.56 | 0.6 | 0.57 | 0.57 | 0.57 | 0.57 |
| soldier | 0.39 | 0.37 | 0.36 | 0.36 | 0.37 | 0.4 |
| sphere | 0.49 | 0.46 | 0.44 | 0.41 | 0.39 | 0.41 |
| tiger | 0.71 | 0.68 | 0.68 | 0.67 | 0.68 | 0.66 |
| traffic | 0.79 | 0.79 | 0.8 | 0.8 | 0.76 | 0.73 |
| tunnel | 0.52 | 0.67 | 0.68 | 0.43 | 0.41 | 0.38 |
| wiper | 0.62 | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 |
| mean | 0.51 | 0.5 | 0.51 | 0.51 | 0.51 | 0.5 |
| | | | | | | | | 0 |
| | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- |
| bag | 0 | 0 | 0 | 0 | 0 | 0 |
| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |
| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |
| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |
| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |
| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |
| blanket | 0 | 0 | 0 | 0 | 0 | 0 |
| bmx | 1 | 0 | 0 | 0 | 0 | 0 |
| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |
| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |
| book | 2 | 4 | 6 | 3 | 3.2 | 5 |
| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |
| car1 | 1 | 1 | 1 | 1 | 1 | 1 |
| car2 | 0 | 0 | 0 | 0 | 0 | 0 |
| crossing | 1 | 1 | 1 | 1 | 1 | 1 |
| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |
| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |
| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |
| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |
| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |
| fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |
| girl | 1 | 1 | 1 | 1 | 1 | 1 |
| glove | 2 | 2 | 2 | 2 | 2 | 2 |
| godfather | 0 | 0 | 0 | 0 | 0 | 0 |
| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |
| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |
| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |
| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |
| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |
| hand | 7 | 8 | 7 | 7 | 7 | 6 |
| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |
| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |
| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |
| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |
| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |
| leaves | 1 | 3 | 3 | 3 | 3 | 3 |
| marching | 0 | 0 | 0 | 0 | 0 | 0 |
| matrix | 1 | 2 | 2 | 2 | 2 | 1 |
| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |
| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |
| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |
| octopus | 0 | 0 | 0 | 1 | 1 | 0 |
| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |
| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |
| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |
| racing | 0 | 0 | 0 | 0 | 0 | 0 |
| road | 0 | 0 | 0 | 0 | 0 | 0 |
| shaking | 0 | 0 | 1 | 1 | 1 | 0 |
| sheep | 0 | 0 | 0 | 0 | 0 | 0 |
| singer1 | 0 | 0 | 0 | 0 | 0 | 0 | | | singer2 | 0 | 1 | 1 | 2 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| singer3 | 1.93 | 0 | 0 | 1 | 1 | 1 |
| soccer1 | 2.93 | 3 | 2 | 2 | 1 | 1 |
| soccer2 | 2 | 5 | 2 | 4 | 4 | 2 |
| soldier | 1 | 1 | 1 | 1 | 1 | 1 |
| sphere | 0 | 0 | 0 | 0 | 0 | 0 |
| tiger | 0 | 0 | 0 | 0 | 0 | 0 |
| traffic | 0 | 0 | 0 | 0 | 0 | 0.2 |
| tunnel | 0 | 0 | 0 | 0 | 0 | 0 |
| wiper | 0.4 | 0 | 0 | 0 | 0 | 0 |
| mean | 0.93 | 1.38 | 1.38 | 1.3 | 1.28 | 1.28 |
| | | | | | | | | 1 |
| | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- |
| bag | 0 | 0 | 0 | 0 | 0 | 0 |
| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |
| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |
| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |
| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |
| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |
| blanket | 0 | 0 | 0 | 0 | 0 | 0 |
| bmx | 1 | 0 | 0 | 0 | 0 | 0 |
| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |
| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |
| book | 2 | 4 | 6 | 3 | 3.2 | 5 |
| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |
| car1 | 1 | 1 | 1 | 1 | 1 | 1 |
| car2 | 0 | 0 | 0 | 0 | 0 | 0 |
| crossing | 1 | 1 | 1 | 1 | 1 | 1 |
| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |
| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |
| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |
| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |
| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |
| fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |
| girl | 1 | 1 | 1 | 1 | 1 | 1 |
| glove | 2 | 2 | 2 | 2 | 2 | 2 |
| godfather | 0 | 0 | 0 | 0 | 0 | 0 |
| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |
| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |
| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |
| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |
| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |
| hand | 7 | 8 | 7 | 7 | 7 | 6 |
| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |
| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |
| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |
| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |
| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |
| leaves | 1 | 3 | 3 | 3 | 3 | 3 |
| marching | 0 | 0 | 0 | 0 | 0 | 0 |
| matrix | 1 | 2 | 2 | 2 | 2 | 1 |
| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |
| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |
| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |
| octopus | 0 | 0 | 0 | 1 | 1 | 0 |
| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |
| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |
| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |
| racing | 0 | 0 | 0 | 0 | 0 | 0 |
| road | 0 | 0 | 0 | 0 | 0 | 0 |
| shaking | 0 | 0 | 1 | 1 | 1 | 0 |
| sheep | 0 | 0 | 0 | 0 | 0 | 0 |
| singer1 | 0 | 0 | 0 | 0 | 0 | 0 | | | motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |
| --- | --- | --- | --- | --- | --- | --- |
| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |
| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |
| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |
| pedestrian2 | 0.3 | 0.45 | 0.49 | 0.38 | 0.37 | 0.34 |
| rabbit | 0.41 | 0.23 | 0.33 | 0.32 | 0.41 | 0.29 |
| racing | 0.52 | 0.42 | 0.42 | 0.4 | 0.4 | 0.41 |
| road | 0.58 | 0.58 | 0.57 | 0.62 | 0.64 | 0.67 |
| shaking | 0.66 | 0.64 | 0.69 | 0.73 | 0.76 | 0.68 |
| sheep | 0.49 | 0.5 | 0.5 | 0.5 | 0.52 | 0.53 |
| singer1 | 0.6 | 0.65 | 0.68 | 0.61 | 0.57 | 0.41 |
| singer2 | 0.69 | 0.65 | 0.6 | 0.54 | 0.66 | 0.64 |
| singer3 | 0.4 | 0.23 | 0.25 | 0.16 | 0.15 | 0.15 |
| soccer1 | 0.52 | 0.48 | 0.53 | 0.53 | 0.55 | 0.51 |
| soccer2 | 0.56 | 0.6 | 0.57 | 0.57 | 0.57 | 0.57 |
| soldier | 0.39 | 0.37 | 0.36 | 0.36 | 0.37 | 0.4 |
| sphere | 0.49 | 0.46 | 0.44 | 0.41 | 0.39 | 0.41 |
| tiger | 0.71 | 0.68 | 0.68 | 0.67 | 0.68 | 0.66 |
| traffic | 0.79 | 0.79 | 0.8 | 0.8 | 0.76 | 0.73 |
| tunnel | 0.52 | 0.67 | 0.68 | 0.43 | 0.41 | 0.38 |
| wiper | 0.62 | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 |
| mean | 0.51 | 0.5 | 0.51 | 0.51 | 0.51 | 0.5 |
| | | | | | | | | 0 |
| Parameters | Range | Default |
| --- | --- | --- |
| AttackType | FR,FD | FD |
| GroupSize | 1-5 | 3 |
| AttackInterval(s) | 6,10,14 | 10 |
| FRShortRoute | opt-2*opt | original |
| FRLongRoute | opt-2*opt | original |
| FDShortRoute | opt-2*opt | opt |
| FDShortRoute | opt-2*opt | 2*opt |
| InfectedVehicles(TH(VehicleSpeed(Km/h)d | 40-90 | 40 | | | NumberofVehicles | 50-150 | 150 |
| --- | --- | --- |
| TIN(s) | 30-120 | 30 | | 1 |
| Parameters | Range | Default |
| --- | --- | --- |
| AttackType | FR,FD | FD |
| GroupSize | 1-5 | 3 |
| AttackInterval(s) | 6,10,14 | 10 |
| FRShortRoute | opt-2*opt | original |
| FRLongRoute | opt-2*opt | original |
| FDShortRoute | opt-2*opt | opt |
| FDShortRoute | opt-2*opt | 2*opt |
| InfectedVehicles(TH(VehicleSpeed(Km/h)d | 40-90 | 40 | | | VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 |
| viaBrennero | 0.4770 | 0.4823 |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 0 |
| Parameters | Range | Default |
| --- | --- | --- |
| AttackType | FR,FD | FD |
| GroupSize | 1-5 | 3 | | | AttackInterval(s) | 6,10,14 | 10 |
| --- | --- | --- |
| FRShortRoute | opt-2*opt | original |
| FRLongRoute | opt-2*opt | original |
| FDShortRoute | opt-2*opt | opt |
| FDShortRoute | opt-2*opt | 2*opt |
| InfectedVehicles(TH(VehicleSpeed(Km/h)d | 40-90 | 40 |
| NumberofVehicles | 50-150 | 150 |
| TIN(s) | 30-120 | 30 | | 1 |
| Parameters | Range | Default |
| --- | --- | --- |
| AttackType | FR,FD | FD |
| GroupSize | 1-5 | 3 | | | viaToscoRomagnola | 0.4511 | 0.4527 |
| --- | --- | --- |
| viaBrennero | 0.4770 | 0.4823 |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 0 |
| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |
| --- | --- | --- | --- | --- | --- | --- |
| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |
| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 | | | COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |
| --- | --- | --- | --- | --- | --- | --- |
| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. | | | | | | | | 1 |
| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |
| --- | --- | --- | --- | --- | --- | --- |
| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |
| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 | | | H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |
| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |
| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |
| --- | --- | --- | --- | --- | --- | --- |
| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 | | | MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |
| --- | --- | --- | --- | --- | --- | --- |
| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |
| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. | | | | | | | | 1 |
| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |
| --- | --- | --- | --- | --- | --- | --- |
| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 | | | 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| method | datasetA | datasetB |
| --- | --- | --- |
| ES | 4.32 | 7.02 |
| ES4LT | 0.97 | 3.59 |
| MD | 11.30 | 22.82 |
| MD4LT | 1.63 | 1.25 | | | VO | 4.49 | 17.19 |
| --- | --- | --- |
| VO4LT | 1.86 | 3.05 | | 1 |
| method | datasetA | datasetB |
| --- | --- | --- |
| ES | 4.32 | 7.02 |
| ES4LT | 0.97 | 3.59 |
| MD | 11.30 | 22.82 |
| MD4LT | 1.63 | 1.25 | | | method/distr. | D1 | D2 | D3 | D4 | D5 |
| --- | --- | --- | --- | --- | --- |
| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |
| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |
| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |
| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |
| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |
| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 | | 0 |
| method | datasetA | datasetB |
| --- | --- | --- |
| ES | 4.32 | 7.02 |
| ES4LT | 0.97 | 3.59 | | | MD | 11.30 | 22.82 |
| --- | --- | --- |
| MD4LT | 1.63 | 1.25 |
| VO | 4.49 | 17.19 |
| VO4LT | 1.86 | 3.05 | | 1 |
| method | datasetA | datasetB |
| --- | --- | --- |
| ES | 4.32 | 7.02 |
| ES4LT | 0.97 | 3.59 | | | MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |
| --- | --- | --- | --- | --- | --- |
| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |
| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 | | 0 |
| Restaurant | | |
| --- | --- | --- |
| Aspect | Opinion | Aspect |
| 72.45 | 69.76 | 66.11 | | | 82.57 | 78.83 | 63.62 |
| --- | --- | --- |
| 84.05 | 80.93 | 76.83 |
| 84.08 | 81.48 | 77.04 |
| 84.24 | 81.22 | 78.12 |
| 84.21 | 84.14 | 77.15 |
| 84.93 | 84.11 | 78.42 | | 1 |
| Restaurant | | |
| --- | --- | --- |
| Aspect | Opinion | Aspect |
| 72.45 | 69.76 | 66.11 | | | Restaurant | | |
| --- | --- | --- |
| Aspect | Opinion | Aspect |
| 84.01 | - | 74.55 |
| 83.98 | - | 73.78 |
| 84.97 | - | 75.16 |
| 77.00 | 78.95 | 66.21 |
| 78.37 | 78.65 | 68.35 |
| 81.15 | 80.22 | 72.73 |
| 82.99 | 82.90 | 73.23 |
| 82.73 | - | 74.52 |
| 84.25 | - | 77.26 |
| 84.05 | 80.93 | 76.83 |
| 84.93 | 84.11 | 78.42 | | 0 |
| Restaurant | | |
| --- | --- | --- |
| Aspect | Opinion | Aspect |
| 72.45 | 69.76 | 66.11 |
| 82.57 | 78.83 | 63.62 |
| 84.05 | 80.93 | 76.83 |
| 84.08 | 81.48 | 77.04 |
| 84.24 | 81.22 | 78.12 | | | 84.21 | 84.14 | 77.15 |
| --- | --- | --- |
| 84.93 | 84.11 | 78.42 | | 1 |
| Restaurant | | |
| --- | --- | --- |
| Aspect | Opinion | Aspect |
| 72.45 | 69.76 | 66.11 |
| 82.57 | 78.83 | 63.62 |
| 84.05 | 80.93 | 76.83 |
| 84.08 | 81.48 | 77.04 |
| 84.24 | 81.22 | 78.12 | | | 81.15 | 80.22 | 72.73 |
| --- | --- | --- |
| 82.99 | 82.90 | 73.23 |
| 82.73 | - | 74.52 |
| 84.25 | - | 77.26 |
| 84.05 | 80.93 | 76.83 |
| 84.93 | 84.11 | 78.42 | | 0 |
| Network | diam(G)diam(T)3 | kkmaxavg |
| --- | --- | --- |
| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |
| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |
| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |
| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |
| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |
| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 | | | Amazon-2 | 4747<br>2022 | 71.205<br>41.274 |
| --- | --- | --- |
| openFlight<br>POWER-Grid<br>road-pa | 6262<br>1314<br>4646<br>794803 | 80.135<br>20.704<br>41.409<br>4610.64 | | 1 |
| Network | diam(G)diam(T)3 | kkmaxavg |
| --- | --- | --- |
| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |
| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |
| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |
| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |
| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |
| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 | | | NetworkTypeRef. | \|V\|\|E\|\|C(G)\|deg |
| --- | --- |
| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |
| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |
| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |
| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |
| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |
| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |
| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |
| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 | | 0 |
| Network | diam(G)diam(T)3 | kkmaxavg |
| --- | --- | --- |
| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |
| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |
| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |
| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 | | | Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |
| --- | --- | --- |
| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 |
| Amazon-2 | 4747<br>2022 | 71.205<br>41.274 |
| openFlight<br>POWER-Grid<br>road-pa | 6262<br>1314<br>4646<br>794803 | 80.135<br>20.704<br>41.409<br>4610.64 | | 1 |
| Network | diam(G)diam(T)3 | kkmaxavg |
| --- | --- | --- |
| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |
| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |
| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |
| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 | | | email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |
| --- | --- |
| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |
| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |
| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |
| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |
| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |
| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 | | 0 |
| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |
| --- | --- | --- | --- | --- | --- |
| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |
| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |
| 255 | 16bytes | 2 | MT | 2.94 | 20.41 |
| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |
| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |
| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |
| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |
| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |
| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |
| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |
| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |
| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |
| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |
| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |
| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |
| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |
| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |
| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |
| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |
| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |
| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |
| 128 | 64bytes | 1 | RE | 0.08 | 0.45 | | | 128 | 64bytes | 2 | MT | 16.47 | 70.62 |
| --- | --- | --- | --- | --- | --- |
| 128 | 64bytes | 2 | RE | 0.41 | 1.69 |
| 32 | 16codes | 1 | MT | 2.42 | 13.46 |
| 32 | 16codes | 1 | RE | 0.88 | 0.33 |
| 32 | 16codes | 2 | MT | 9.01 | 22.94 |
| 32 | 16codes | 2 | RE | 0.52 | 0.74 |
| 32 | 32codes | 1 | MT | 2.49 | 18.05 |
| 32 | 32codes | 1 | RE | 0.09 | 0.42 |
| 32 | 32codes | 2 | MT | 10.39 | 31.03 |
| 32 | 32codes | 2 | RE | 0.38 | 0.84 |
| 32 | 64codes | 1 | MT | 3.04 | 18.78 |
| 32 | 64codes | 1 | RE | 0.08 | 0.39 |
| 32 | 64codes | 2 | MT | 10.28 | 64.4 |
| 32 | 64codes | 2 | RE | 0.37 | 1.12 | | 1 |
| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |
| --- | --- | --- | --- | --- | --- |
| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |
| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |
| 255 | 16bytes | 2 | MT | 2.94 | 20.41 |
| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |
| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |
| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |
| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |
| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |
| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |
| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |
| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |
| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |
| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |
| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |
| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |
| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |
| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |
| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |
| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |
| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |
| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |
| 128 | 64bytes | 1 | RE | 0.08 | 0.45 | | | | | | GFLOPS | GB/s | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |
| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |
| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |
| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |
| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |
| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 | | 0 |
| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |
| --- | --- | --- | --- | --- | --- |
| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |
| 255 | 16bytes | 1 | RE | 0.90 | 0.30 | | | 255 | 16bytes | 2 | MT | 2.94 | 20.41 |
| --- | --- | --- | --- | --- | --- |
| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |
| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |
| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |
| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |
| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |
| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |
| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |
| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |
| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |
| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |
| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |
| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |
| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |
| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |
| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |
| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |
| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |
| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |
| 128 | 64bytes | 1 | RE | 0.08 | 0.45 |
| 128 | 64bytes | 2 | MT | 16.47 | 70.62 |
| 128 | 64bytes | 2 | RE | 0.41 | 1.69 |
| 32 | 16codes | 1 | MT | 2.42 | 13.46 |
| 32 | 16codes | 1 | RE | 0.88 | 0.33 |
| 32 | 16codes | 2 | MT | 9.01 | 22.94 |
| 32 | 16codes | 2 | RE | 0.52 | 0.74 |
| 32 | 32codes | 1 | MT | 2.49 | 18.05 |
| 32 | 32codes | 1 | RE | 0.09 | 0.42 |
| 32 | 32codes | 2 | MT | 10.39 | 31.03 |
| 32 | 32codes | 2 | RE | 0.38 | 0.84 |
| 32 | 64codes | 1 | MT | 3.04 | 18.78 |
| 32 | 64codes | 1 | RE | 0.08 | 0.39 |
| 32 | 64codes | 2 | MT | 10.28 | 64.4 |
| 32 | 64codes | 2 | RE | 0.37 | 1.12 | | 1 |
| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |
| --- | --- | --- | --- | --- | --- |
| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |
| 255 | 16bytes | 1 | RE | 0.90 | 0.30 | | | 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 | | 0 |
| Benchmarks | |
| --- | --- |
| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite | |
| HardwareConfigurations | |
| Network | Ethernet,Infiniband |
| Storage | SSD,HDD,RemoteDisks{1-3} |
| Cluster | #Datanodes,VMdescription |
| SoftwareConfigurations | |
| Maps | 2to32 | | | I/OSortFactor | 1to100 |
| --- | --- |
| I/OFileBuffer | 1KBto256KB |
| Replicas | 1to3 |
| BlockSize | 32MBto256MB |
| CompressionAlgs. | None,BZIP2,ZLIB,Snappy |
| HadoopInfo | Version | | 1 |
| Benchmarks | |
| --- | --- |
| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite | |
| HardwareConfigurations | |
| Network | Ethernet,Infiniband |
| Storage | SSD,HDD,RemoteDisks{1-3} |
| Cluster | #Datanodes,VMdescription |
| SoftwareConfigurations | |
| Maps | 2to32 | | | NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |
| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |
| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |
| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |
| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |
| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |
| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |
| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |
| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 | | 0 |
| Benchmarks | |
| --- | --- |
| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite | |
| HardwareConfigurations | |
| Network | Ethernet,Infiniband |
| Storage | SSD,HDD,RemoteDisks{1-3} |
| Cluster | #Datanodes,VMdescription |
| SoftwareConfigurations | |
| Maps | 2to32 |
| I/OSortFactor | 1to100 |
| I/OFileBuffer | 1KBto256KB | | | Replicas | 1to3 |
| --- | --- |
| BlockSize | 32MBto256MB |
| CompressionAlgs. | None,BZIP2,ZLIB,Snappy |
| HadoopInfo | Version | | 1 |
| Benchmarks | |
| --- | --- |
| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite | |
| HardwareConfigurations | |
| Network | Ethernet,Infiniband |
| Storage | SSD,HDD,RemoteDisks{1-3} |
| Cluster | #Datanodes,VMdescription |
| SoftwareConfigurations | |
| Maps | 2to32 |
| I/OSortFactor | 1to100 |
| I/OFileBuffer | 1KBto256KB | | | SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |
| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |
| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |
| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |
| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 | | 0 |
| | Role | Researchgroup | Gender | Age |
| --- | --- | --- | --- | --- |
| 1 | Printer21.79 | Sharedoffice11.72 | Kitchen10.63 | Reception1.61 | | | 2 | Commonroom1.79 | Printer11.71 | Printer40.57 | Cafeteria1.58 |
| --- | --- | --- | --- | --- |
| 3 | Sharedoffice31.77 | Sharedoffice21.67 | Reception0.56 | Commonroom1.57 |
| 4 | Sharedoffice11.77 | Commonroom1.64 | Sharedoffice40.54 | Printer41.57 |
| 5 | Printer31.77 | Kitchen11.63 | Cafeteria0.52 | Printer31.56 |
| 6 | Cafeteria1.76 | Reception1.63 | Commonroom0.51 | Kitchen11.54 |
| 7 | Kitchen21.76 | Printer41.63 | Sharedoffice60.50 | Kitchen31.53 |
| 8 | Kitchen31.75 | Cafeteria1.63 | Printer20.45 | Printer21.47 |
| 9 | Meetingroom11.72 | Kitchen41.63 | Kitchen20.41 | Sharedoffice71.41 |
| 10 | Reception1.71 | Printer31.63 | Sharedoffice30.41 | Meetingroom11.36 | | 1 |
| | Role | Researchgroup | Gender | Age |
| --- | --- | --- | --- | --- |
| 1 | Printer21.79 | Sharedoffice11.72 | Kitchen10.63 | Reception1.61 | | | Word1 | Word2 | Sci.med | Pretrained | WordNet |
| --- | --- | --- | --- | --- |
| school | children | 0.034 | 0.462 | 0.463 |
| university | students | 0.275 | 0.425 | 0.435 |
| company | industry | 0.0434 | 0.524 | 0.520 |
| boy | girl | 0.089 | 0.804 | 0.863 |
| mother | father | 0.613 | 0.829 | 0.849 |
| national | international | 0.687 | 0.650 | 0.687 |
| library | books | 0.435 | 0.566 | 0.560 | | 0 |
| | Role | Researchgroup | Gender | Age |
| --- | --- | --- | --- | --- |
| 1 | Printer21.79 | Sharedoffice11.72 | Kitchen10.63 | Reception1.61 |
| 2 | Commonroom1.79 | Printer11.71 | Printer40.57 | Cafeteria1.58 |
| 3 | Sharedoffice31.77 | Sharedoffice21.67 | Reception0.56 | Commonroom1.57 |
| 4 | Sharedoffice11.77 | Commonroom1.64 | Sharedoffice40.54 | Printer41.57 | | | 5 | Printer31.77 | Kitchen11.63 | Cafeteria0.52 | Printer31.56 |
| --- | --- | --- | --- | --- |
| 6 | Cafeteria1.76 | Reception1.63 | Commonroom0.51 | Kitchen11.54 |
| 7 | Kitchen21.76 | Printer41.63 | Sharedoffice60.50 | Kitchen31.53 |
| 8 | Kitchen31.75 | Cafeteria1.63 | Printer20.45 | Printer21.47 |
| 9 | Meetingroom11.72 | Kitchen41.63 | Kitchen20.41 | Sharedoffice71.41 |
| 10 | Reception1.71 | Printer31.63 | Sharedoffice30.41 | Meetingroom11.36 | | 1 |
| | Role | Researchgroup | Gender | Age |
| --- | --- | --- | --- | --- |
| 1 | Printer21.79 | Sharedoffice11.72 | Kitchen10.63 | Reception1.61 |
| 2 | Commonroom1.79 | Printer11.71 | Printer40.57 | Cafeteria1.58 |
| 3 | Sharedoffice31.77 | Sharedoffice21.67 | Reception0.56 | Commonroom1.57 |
| 4 | Sharedoffice11.77 | Commonroom1.64 | Sharedoffice40.54 | Printer41.57 | | | university | students | 0.275 | 0.425 | 0.435 |
| --- | --- | --- | --- | --- |
| company | industry | 0.0434 | 0.524 | 0.520 |
| boy | girl | 0.089 | 0.804 | 0.863 |
| mother | father | 0.613 | 0.829 | 0.849 |
| national | international | 0.687 | 0.650 | 0.687 |
| library | books | 0.435 | 0.566 | 0.560 | | 0 |
| Method | Top1 | Top2 | Top5 | Top10 |
| --- | --- | --- | --- | --- |
| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |
| Delta-nHinge | 93.4 | NA | NA | 98.4 |
| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |
| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |
| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 | | | SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |
| --- | --- | --- | --- | --- |
| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 | | 1 |
| Method | Top1 | Top2 | Top5 | Top10 |
| --- | --- | --- | --- | --- |
| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |
| Delta-nHinge | 93.4 | NA | NA | 98.4 |
| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |
| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |
| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 | | | Method | Top1 | Top2 | Top5 | Top10 |
| --- | --- | --- | --- | --- |
| Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |
| Delta-nHinge | 93.4 | NA | NA | 97.8 |
| CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |
| MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 |
| SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 |
| SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 | | 0 |
| Method | Top1 | Top2 | Top5 | Top10 |
| --- | --- | --- | --- | --- |
| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 | | | Delta-nHinge | 93.4 | NA | NA | 98.4 |
| --- | --- | --- | --- | --- |
| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |
| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |
| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |
| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |
| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 | | 1 |
| Method | Top1 | Top2 | Top5 | Top10 |
| --- | --- | --- | --- | --- |
| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 | | | MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 |
| --- | --- | --- | --- | --- |
| SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 |
| SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 | | 0 |
| QA |
| --- |
| P@1MRR |
| 0.2000.457<br>0.5790.726 | | | 0.5810.756<br>0.6260.781<br>0.6900.822 |
| --- |
| 0.7250.840<br>0.7660.869 |
| 0.5910.765<br>0.7640.867 |
| 0.7850.879<br>0.7900.882 | | 1 |
| QA |
| --- |
| P@1MRR |
| 0.2000.457<br>0.5790.726 | | | q | Example1 | Example2 | Example3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| E1 | E2 | E1 | E2 | E1 | E2 | |
| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |
| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |
| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |
| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |
| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |
| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |
| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |
| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |
| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |
| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |
| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 | | 0 |
| QA |
| --- |
| P@1MRR |
| 0.2000.457<br>0.5790.726 |
| 0.5810.756<br>0.6260.781<br>0.6900.822 |
| 0.7250.840<br>0.7660.869 | | | 0.5910.765<br>0.7640.867 |
| --- |
| 0.7850.879<br>0.7900.882 | | 1 |
| QA |
| --- |
| P@1MRR |
| 0.2000.457<br>0.5790.726 |
| 0.5810.756<br>0.6260.781<br>0.6900.822 |
| 0.7250.840<br>0.7660.869 | | | 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |
| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |
| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |
| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |
| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |
| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |
| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 | | 0 |
| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| x | y | z | a1 | a2 | a3 | φ | ν | ψ | | | 1 | -48.07 | 78.27 | 14.81 | 50 | 75 | 100 | 74.21 | 48.44 | -48.07 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 16.45 | 178.64 | -154.51 | 50 | 100 | 75 | 37.27 | 22.27 | -25.51 |
| 3 | 127.93 | -65.94 | -27.32 | 100 | 75 | 50 | 46.74 | 11.17 | -26.30 | | 1 |
| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| x | y | z | a1 | a2 | a3 | φ | ν | ψ | | | | θ1 | θ2 | θ3 | δS |
| --- | --- | --- | --- | --- |
| m1 | 1/3 | 1/3 | 1/3 | 0.423 |
| m2 | 0.4 | 0.4 | 0.2 | 0.471 |
| m3 | 0.45 | 0.45 | 0.10 | 0.493 |
| m4 | 0.45 | 0.40 | 0.15 | 0.508 |
| m5 | 0.45 | 0.3 | 0.25 | 0.523 |
| m6 | 0.45 | 0.275 | 0.275 | 0.524 |
| m7 | 0.6 | 0.3 | 0.1 | 0.639 |
| m8 | 1 | 0 | 0 | 1 | | 0 |
| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| x | y | z | a1 | a2 | a3 | φ | ν | ψ | | | 1 | -48.07 | 78.27 | 14.81 | 50 | 75 | 100 | 74.21 | 48.44 | -48.07 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 16.45 | 178.64 | -154.51 | 50 | 100 | 75 | 37.27 | 22.27 | -25.51 |
| 3 | 127.93 | -65.94 | -27.32 | 100 | 75 | 50 | 46.74 | 11.17 | -26.30 | | 1 |
| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| x | y | z | a1 | a2 | a3 | φ | ν | ψ | | | m3 | 0.45 | 0.45 | 0.10 | 0.493 |
| --- | --- | --- | --- | --- |
| m4 | 0.45 | 0.40 | 0.15 | 0.508 |
| m5 | 0.45 | 0.3 | 0.25 | 0.523 |
| m6 | 0.45 | 0.275 | 0.275 | 0.524 |
| m7 | 0.6 | 0.3 | 0.1 | 0.639 |
| m8 | 1 | 0 | 0 | 1 | | 0 |
| 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 | | 1 |
| 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 | | | 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 | | 0 |
| 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 | | 1 |
| 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 | | | 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 | | 0 |
| n | numberofnodes |
| --- | --- |
| Ni | thei-thnode(0≤i≤n−1) |
| k | numberofdatanodes | | | r | numberofsymbolsperstrip |
| --- | --- |
| t | numberofconcurrentfailures(1≤t≤n−k) |
| M | sizeoforiginaldatastoredinastripe |
| si,j | thej-thstoredsymbolinastripeofnodeN(0≤i≤n−1,0≤j≤r)i |
| (cid:48)ei,i | (cid:48)encodedsymbolfromsurvivingnodeNusedtorecoverlostdataoffailednodeN(0≤i,i≤n−1)ii | | 1 |
| n | numberofnodes |
| --- | --- |
| Ni | thei-thnode(0≤i≤n−1) |
| k | numberofdatanodes | | | No.ofnodes | NameofTheNeurons | NeuronLabelNo. |
| --- | --- | --- |
| 1 | IL2DL | 1 |
| 2 | IL2DR | 6 |
| 3 | ASIL | 76 |
| 4 | ASIR | 90 |
| 5 | AINL | 120 |
| 6 | SDQR | 179 |
| 7 | DB05 | 204 |
| 8 | AS08 | 220 |
| 9 | PVDR | 227 |
| 10 | DVB | 253 |
| 11 | PLNR | 260 |
| 12 | PHCR | 274 |
| 13 | PLML | 279 | | 0 |
| n | numberofnodes |
| --- | --- |
| Ni | thei-thnode(0≤i≤n−1) |
| k | numberofdatanodes | | | r | numberofsymbolsperstrip |
| --- | --- |
| t | numberofconcurrentfailures(1≤t≤n−k) |
| M | sizeoforiginaldatastoredinastripe |
| si,j | thej-thstoredsymbolinastripeofnodeN(0≤i≤n−1,0≤j≤r)i |
| (cid:48)ei,i | (cid:48)encodedsymbolfromsurvivingnodeNusedtorecoverlostdataoffailednodeN(0≤i,i≤n−1)ii | | 1 |
| n | numberofnodes |
| --- | --- |
| Ni | thei-thnode(0≤i≤n−1) |
| k | numberofdatanodes | | | 8 | AS08 | 220 |
| --- | --- | --- |
| 9 | PVDR | 227 |
| 10 | DVB | 253 |
| 11 | PLNR | 260 |
| 12 | PHCR | 274 |
| 13 | PLML | 279 | | 0 |
| | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |
| --- | --- | --- | --- |
| SARSA | slow,optimal | fast,optimal | slow,optimal | | | Dyna | fast,optimal | slow,optimal | slow,optimal |
| --- | --- | --- | --- |
| simpleDyna | fast,notoptimal | slow,notoptimal | slow,notoptimal |
| pRL | fast,near-optimal<br>(lowκ) | fast,near-optimal<br>(highκ) | fast,near-optimal | | 1 |
| | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |
| --- | --- | --- | --- |
| SARSA | slow,optimal | fast,optimal | slow,optimal | | | baseline | weakly | weakly<br>cleaned |
| --- | --- | --- |
| 48.3 | 8.5 | 15.9 |
| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |
| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |
| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 | | 0 |
| | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |
| --- | --- | --- | --- |
| SARSA | slow,optimal | fast,optimal | slow,optimal | | | Dyna | fast,optimal | slow,optimal | slow,optimal |
| --- | --- | --- | --- |
| simpleDyna | fast,notoptimal | slow,notoptimal | slow,notoptimal |
| pRL | fast,near-optimal<br>(lowκ) | fast,near-optimal<br>(highκ) | fast,near-optimal | | 1 |
| | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |
| --- | --- | --- | --- |
| SARSA | slow,optimal | fast,optimal | slow,optimal | | | 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |
| --- | --- | --- |
| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |
| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 | | 0 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 |
| Baseline3 | 1.67 | 3.41 | | | FCN-HA | 1.65 | 3.37 |
| --- | --- | --- |
| FCN-rLSTM | 1.54 | 3.02 | | 1 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 |
| Baseline3 | 1.67 | 3.41 | | | Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 |
| OPT-RC | 2.03 | 5.97 |
| FCN-MT | 1.67 | 3.41 | | 0 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 | | | Baseline3 | 1.67 | 3.41 |
| --- | --- | --- |
| FCN-HA | 1.65 | 3.37 |
| FCN-rLSTM | 1.54 | 3.02 | | 1 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 | | | Cross-sceneDNN | 1.6 | 3.31 |
| --- | --- | --- |
| OPT-RC | 2.03 | 5.97 |
| FCN-MT | 1.67 | 3.41 | | 0 |
| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |
| --- | --- | --- | --- | --- | --- | --- |
| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |
| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 | |
| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 | |
| Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |
| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 | |
| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 | | | | Desert | 21.1075 | 21.9822 | 26.2154 | 30.3749 | 23.3818 | 30.4087 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.7299 | 0.7941 | 0.8231 | 0.9273 | 0.7605 | 0.9292 | |
| 112.3 | 10.5 | 13778 | 78.8 | 11901 | 917.1 | |
| Road | 24.8007 | 24.8087 | 28.1933 | 32.3209 | 27.6135 | 33.0020 |
| 0.7479 | 0.7974 | 0.8273 | 0.9013 | 0.8125 | 0.9040 | |
| 107.3 | 14.2 | 13309 | 177.6 | 11287 | 1344.7 | | | 1 |
| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |
| --- | --- | --- | --- | --- | --- | --- |
| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |
| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 | |
| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 | |
| Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |
| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 | |
| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 | | | | Sequence | SGL | Centroid | NDL | Proposed |
| --- | --- | --- | --- | --- |
| Car | 23.6366 | 28.3825 | 29.1869 | 28.2689 |
| 0.7558 | 0.8539 | 0.8743 | 0.8624 | |
| 136.8 | 13564 | 10261 | 574.1 | |
| Carfront | 16.8052 | 20.1188 | 20.3457 | 20.9223 |
| 0.6920 | 0.8048 | 0.8041 | 0.8375 | |
| 15.5 | 1610.7 | 1793.1 | 1.0535 | |
| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |
| 0.7299 | 0.8231 | 0.7605 | 0.9258 | |
| 112.3 | 13778 | 11901 | 1.1621 | |
| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |
| 0.7479 | 0.8273 | 0.8125 | 0.9005 | |
| 107.3 | 13309 | 11287 | 1.1252 | | | 0 |
| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |
| --- | --- | --- | --- | --- | --- | --- |
| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |
| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 | |
| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 | | | | Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 | |
| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 | |
| Desert | 21.1075 | 21.9822 | 26.2154 | 30.3749 | 23.3818 | 30.4087 |
| 0.7299 | 0.7941 | 0.8231 | 0.9273 | 0.7605 | 0.9292 | |
| 112.3 | 10.5 | 13778 | 78.8 | 11901 | 917.1 | |
| Road | 24.8007 | 24.8087 | 28.1933 | 32.3209 | 27.6135 | 33.0020 |
| 0.7479 | 0.7974 | 0.8273 | 0.9013 | 0.8125 | 0.9040 | |
| 107.3 | 14.2 | 13309 | 177.6 | 11287 | 1344.7 | | | 1 |
| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |
| --- | --- | --- | --- | --- | --- | --- |
| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |
| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 | |
| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 | | | | 15.5 | 1610.7 | 1793.1 | 1.0535 | |
| --- | --- | --- | --- | --- |
| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |
| 0.7299 | 0.8231 | 0.7605 | 0.9258 | |
| 112.3 | 13778 | 11901 | 1.1621 | |
| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |
| 0.7479 | 0.8273 | 0.8125 | 0.9005 | |
| 107.3 | 13309 | 11287 | 1.1252 | | | 0 |
| Function | Score<br>onQH | Score<br>onQL |
| --- | --- | --- |
| Low1 | -9.08 | -4.03 |
| Low2 | -2.80 | 0.00 | | | SynRules | -13.08 | -12.78 |
| --- | --- | --- |
| SemColl | 24.32 | 3.38 |
| TOTAL | -0.64 | -13.34 | | 1 |
| Function | Score<br>onQH | Score<br>onQL |
| --- | --- | --- |
| Low1 | -9.08 | -4.03 |
| Low2 | -2.80 | 0.00 | | | Function | Score<br>onQH | Score<br>onQL |
| --- | --- | --- |
| Low1 | -9.08 | -4.03 |
| Low2 | -2.80 | 0.00 |
| SynRules | -13.08 | -12.78 |
| SemColl | 24.32 | 3.38 |
| TOTAL | -0.64 | -13.34 | | 0 |
| Function | Score<br>onQH | Score<br>onQL |
| --- | --- | --- |
| Low1 | -9.08 | -4.03 |
| Low2 | -2.80 | 0.00 |
| SynRules | -13.08 | -12.78 | | | SemColl | 24.32 | 3.38 |
| --- | --- | --- |
| TOTAL | -0.64 | -13.34 | | 1 |
| Function | Score<br>onQH | Score<br>onQL |
| --- | --- | --- |
| Low1 | -9.08 | -4.03 |
| Low2 | -2.80 | 0.00 |
| SynRules | -13.08 | -12.78 | | | Low2 | -2.80 | 0.00 |
| --- | --- | --- |
| SynRules | -13.08 | -12.78 |
| SemColl | 24.32 | 3.38 |
| TOTAL | -0.64 | -13.34 | | 0 |
| Datasets | WN18 | FB15K | |
| --- | --- | --- | --- |
| Metric | MeanRank | MeanRank | |
| Raw | Filter | Raw | Filter | | | Unstructured<br>RESCAL<br>SE<br>SME(linear)<br>SME(bilinear)<br>LFM<br>TransE<br>TransH(bern)<br>TransH(unif) | 315<br>1,180<br>1,011<br>545<br>526<br>469<br>263<br>401<br>318 | 304<br>1,163<br>985<br>533<br>509<br>456<br>251<br>388<br>303 | 1,074<br>828<br>273<br>274<br>284<br>283<br>243<br>212<br>211 | 979<br>683<br>162<br>154<br>158<br>164<br>125<br>87<br>84 |
| --- | --- | --- | --- | --- |
| TransA | 165 | 153 | 164 | 58 | | 1 |
| Datasets | WN18 | FB15K | |
| --- | --- | --- | --- |
| Metric | MeanRank | MeanRank | |
| Raw | Filter | Raw | Filter | | | Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |
| --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |
| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |
| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 | | 0 |
| Datasets | WN18 | FB15K | |
| --- | --- | --- | --- |
| Metric | MeanRank | MeanRank | |
| Raw | Filter | Raw | Filter | | | Unstructured<br>RESCAL<br>SE<br>SME(linear)<br>SME(bilinear)<br>LFM<br>TransE<br>TransH(bern)<br>TransH(unif) | 315<br>1,180<br>1,011<br>545<br>526<br>469<br>263<br>401<br>318 | 304<br>1,163<br>985<br>533<br>509<br>456<br>251<br>388<br>303 | 1,074<br>828<br>273<br>274<br>284<br>283<br>243<br>212<br>211 | 979<br>683<br>162<br>154<br>158<br>164<br>125<br>87<br>84 |
| --- | --- | --- | --- | --- |
| TransA | 165 | 153 | 164 | 58 | | 1 |
| Datasets | WN18 | FB15K | |
| --- | --- | --- | --- |
| Metric | MeanRank | MeanRank | |
| Raw | Filter | Raw | Filter | | | Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |
| --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |
| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 | | 0 |
| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Specificity |
| --- | --- | --- | --- | --- | --- | --- |
| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |
| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 | |
| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 | |
| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 | | | | cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 | |
| --- | --- | --- | --- | --- | --- | --- |
| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |
| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 | |
| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 | |
| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 | |
| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 | | | 1 |
| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Specificity |
| --- | --- | --- | --- | --- | --- | --- |
| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |
| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 | |
| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 | |
| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 | | | | | UnderSegmentation | Accuracy | MCC | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Method | Mean | SD | Mean | SD | Mean | SD |
| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |
| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |
| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |
| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 | | 0 |
| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Specificity |
| --- | --- | --- | --- | --- | --- | --- |
| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |
| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 | |
| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 | |
| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 | |
| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 | |
| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 | | | U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |
| --- | --- | --- | --- | --- | --- |
| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |
| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |
| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 | | 1 |
| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Specificity |
| --- | --- | --- | --- | --- | --- | --- |
| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |
| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 | |
| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 | |
| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 | |
| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 | |
| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 | | | 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |
| --- | --- | --- | --- | --- | --- | --- |
| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |
| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 | | 0 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 127 | 482.90 | 5715.4 | | | MySQL | 78.3 | 825.8 | 18794.4 |
| --- | --- | --- | --- |
| PostgreSQL | 35.5 | 582.6 | 11479.8 |
| MongoDB | 9 | 133.8 | 1530.9 |
| CouchDB | 1.19 | 15.57 | 132.7 |
| Couchbase | 39.37 | 405.57 | 6579.23 | | 1 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 127 | 482.90 | 5715.4 | | | Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 36.10 | 286.50 | 2764.80 |
| MySQL | 87.7 | 1264 | 10620.5 |
| PostgreSQL | 77.3 | 2385.2 | 25421.5 |
| MongoDB | 17.3 | 265.4 | 2875.9 |
| CouchDB | 1.56 | 18.64 | 266.68 |
| Couchbase | 73.16 | 731.39 | 10414.85 | | 0 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 127 | 482.90 | 5715.4 | | | MySQL | 78.3 | 825.8 | 18794.4 |
| --- | --- | --- | --- |
| PostgreSQL | 35.5 | 582.6 | 11479.8 |
| MongoDB | 9 | 133.8 | 1530.9 |
| CouchDB | 1.19 | 15.57 | 132.7 |
| Couchbase | 39.37 | 405.57 | 6579.23 | | 1 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 127 | 482.90 | 5715.4 | | | CouchDB | 1.56 | 18.64 | 266.68 |
| --- | --- | --- | --- |
| Couchbase | 73.16 | 731.39 | 10414.85 | | 0 |
| image | #functions(r) | IBFStime(sec) |
| --- | --- | --- |
| bee | 1431411 | 14.7271 | | | octopus | 1431411 | 12.698 |
| --- | --- | --- |
| penguin | 808051 | 7.51067 |
| plant | 1431411 | 13.6282 |
| plane | 808051 | 7.64527 | | 1 |
| image | #functions(r) | IBFStime(sec) |
| --- | --- | --- |
| bee | 1431411 | 14.7271 | | | image | #functions(r) | IBFStime(sec) |
| --- | --- | --- |
| bee | 1431361 | 14.5125 |
| octopus | 1431361 | 12.9877 |
| penguin | 808001 | 7.58177 |
| plant | 1431361 | 13.7403 |
| plane | 808001 | 7.67518 | | 0 |
| image | #functions(r) | IBFStime(sec) |
| --- | --- | --- |
| bee | 1431411 | 14.7271 |
| octopus | 1431411 | 12.698 |
| penguin | 808051 | 7.51067 | | | plant | 1431411 | 13.6282 |
| --- | --- | --- |
| plane | 808051 | 7.64527 | | 1 |
| image | #functions(r) | IBFStime(sec) |
| --- | --- | --- |
| bee | 1431411 | 14.7271 |
| octopus | 1431411 | 12.698 |
| penguin | 808051 | 7.51067 | | | octopus | 1431361 | 12.9877 |
| --- | --- | --- |
| penguin | 808001 | 7.58177 |
| plant | 1431361 | 13.7403 |
| plane | 808001 | 7.67518 | | 0 |
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