premise string | hypothesis string | label int64 |
|---|---|---|
| Webgraph | Positiveedges | Negativeedges | Classimbalance |
| --- | --- | --- | --- |
| webND | 133,279 | 95,939million | 1:719,835 |
| webSB | 756,937 | 466,034million | 1:615,684 | | | webGL | 494,982 | 741,978million | 1:1,498,999 |
| --- | --- | --- | --- |
| erd˝os | 1,543,090 | 2,970,460million | 1:1,925,007 |
| hudong | 1,446,760 | 3,786,991million | 1:2,617,566 |
| baidu | 1,701,330 | 4,370,982million | 1:2,569,155 | | 1 |
| Webgraph | Positiveedges | Negativeedges | Classimbalance |
| --- | --- | --- | --- |
| webND | 133,279 | 95,939million | 1:719,835 |
| webSB | 756,937 | 466,034million | 1:615,684 | | | Network | Vertices | Edges | τ | IMQueries | kmax |
| --- | --- | --- | --- | --- | --- |
| wiki-Vote | 7K | 104K | 10 | 212 | 50 |
| Flixster | 99K | 978K | 10 | 223 | 100 |
| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |
| flickr-growth | 2.3M | 33M | 10 | 779 | 200 |
| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 | | 0 |
| Webgraph | Positiveedges | Negativeedges | Classimbalance |
| --- | --- | --- | --- |
| webND | 133,279 | 95,939million | 1:719,835 |
| webSB | 756,937 | 466,034million | 1:615,684 |
| webGL | 494,982 | 741,978million | 1:1,498,999 | | | erd˝os | 1,543,090 | 2,970,460million | 1:1,925,007 |
| --- | --- | --- | --- |
| hudong | 1,446,760 | 3,786,991million | 1:2,617,566 |
| baidu | 1,701,330 | 4,370,982million | 1:2,569,155 | | 1 |
| Webgraph | Positiveedges | Negativeedges | Classimbalance |
| --- | --- | --- | --- |
| webND | 133,279 | 95,939million | 1:719,835 |
| webSB | 756,937 | 466,034million | 1:615,684 |
| webGL | 494,982 | 741,978million | 1:1,498,999 | | | flickr-growth | 2.3M | 33M | 10 | 779 | 200 |
| --- | --- | --- | --- | --- | --- |
| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 | | 0 |
| Phase | Train | Validation | Test | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |
| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 | | | Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |
| --- | --- | --- | --- | --- | --- | --- |
| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |
| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 | | 1 |
| Phase | Train | Validation | Test | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |
| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 | | | | Train | Validation | Test |
| --- | --- | --- | --- |
| PA | 70,875 | 10,078 | 20,426 |
| AP | 168,525 | 24,566 | 47,689 |
| Lateral | 81,379 | 11,519 | 23,125 |
| Total | 320,779 | 46,163 | 91,240 | | 0 |
| Phase | Train | Validation | Test | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |
| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |
| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 | | | Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |
| --- | --- | --- | --- | --- | --- | --- |
| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 | | 1 |
| Phase | Train | Validation | Test | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |
| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |
| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 | | | Lateral | 81,379 | 11,519 | 23,125 |
| --- | --- | --- | --- |
| Total | 320,779 | 46,163 | 91,240 | | 0 |
| BatchSize | LRrulewarmupEpochstestaccuracy |
| --- | --- |
| 512 | regularN/A1000.583 |
| 4096 | LARS13epochs1000.584 | | | 8192 | LARS8epochs1000.583 |
| --- | --- |
| 32768 | LARS5epochs1000.585 | | 1 |
| BatchSize | LRrulewarmupEpochstestaccuracy |
| --- | --- |
| 512 | regularN/A1000.583 |
| 4096 | LARS13epochs1000.584 | | | Model | ρ×100 |
| --- | --- |
| HLBL | 33.2 |
| C&W | 55.3 |
| Skip-gram-300d | 70.4 |
| Huangetal-G | 22.8 |
| Huangetal-M | 64.2 |
| MSSG50d-G | 60.6 |
| MSSG50d-M | 63.2 |
| MSSG300d-G | 69.2 |
| MSSG300d-M | 70.9 |
| NP-MSSG50d-G | 61.5 |
| NP-MSSG50d-M | 62.4 |
| NP-MSSG300d-G | 69.1 |
| NP-MSSG300d-M | 68.6 |
| PrunedTF-IDF | 73.4 |
| ESA | 75 |
| TieredTF-IDF | 76.9 | | 0 |
| BatchSize | LRrulewarmupEpochstestaccuracy |
| --- | --- |
| 512 | regularN/A1000.583 | | | 4096 | LARS13epochs1000.584 |
| --- | --- |
| 8192 | LARS8epochs1000.583 |
| 32768 | LARS5epochs1000.585 | | 1 |
| BatchSize | LRrulewarmupEpochstestaccuracy |
| --- | --- |
| 512 | regularN/A1000.583 | | | PrunedTF-IDF | 73.4 |
| --- | --- |
| ESA | 75 |
| TieredTF-IDF | 76.9 | | 0 |
| Method | Precision | Recall | F-score |
| --- | --- | --- | --- |
| HUSTMCLAB | 47.5 | 34.8 | 40.2 |
| NJUText | 72.7 | 35.8 | 48.0 |
| StradVision-2 | 77.5 | 36.7 | 49.8 | | | MCLABFCN | 70.8 | 43.0 | 53.6 |
| --- | --- | --- | --- |
| CTPN | 51.6 | 74.2 | 60.9 |
| Megcii-Image++ | 72.4 | 57.0 | 63.8 |
| Yaoetal. | 72.3 | 58.7 | 64.8 |
| Seglink | 73.1 | 76.8 | 75.0 |
| ArbiText | 79.2 | 73.5 | 75.9 | | 1 |
| Method | Precision | Recall | F-score |
| --- | --- | --- | --- |
| HUSTMCLAB | 47.5 | 34.8 | 40.2 |
| NJUText | 72.7 | 35.8 | 48.0 |
| StradVision-2 | 77.5 | 36.7 | 49.8 | | | Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |
| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |
| Liuetal. | 0.73 | 0.68 | 0.71 |
| Tianetal. | 0.74 | 0.52 | 0.61 |
| Zhangetal. | 0.71 | 0.43 | 0.54 |
| StradVision2 | 0.77 | 0.37 | 0.50 |
| StradVision1 | 0.53 | 0.46 | 0.50 |
| NJU-Text | 0.70 | 0.36 | 0.47 |
| AJOU | 0.47 | 0.47 | 0.47 |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 | | 0 |
| Method | Precision | Recall | F-score |
| --- | --- | --- | --- |
| HUSTMCLAB | 47.5 | 34.8 | 40.2 |
| NJUText | 72.7 | 35.8 | 48.0 |
| StradVision-2 | 77.5 | 36.7 | 49.8 |
| MCLABFCN | 70.8 | 43.0 | 53.6 |
| CTPN | 51.6 | 74.2 | 60.9 | | | Megcii-Image++ | 72.4 | 57.0 | 63.8 |
| --- | --- | --- | --- |
| Yaoetal. | 72.3 | 58.7 | 64.8 |
| Seglink | 73.1 | 76.8 | 75.0 |
| ArbiText | 79.2 | 73.5 | 75.9 | | 1 |
| Method | Precision | Recall | F-score |
| --- | --- | --- | --- |
| HUSTMCLAB | 47.5 | 34.8 | 40.2 |
| NJUText | 72.7 | 35.8 | 48.0 |
| StradVision-2 | 77.5 | 36.7 | 49.8 |
| MCLABFCN | 70.8 | 43.0 | 53.6 |
| CTPN | 51.6 | 74.2 | 60.9 | | | Liuetal. | 0.73 | 0.68 | 0.71 |
| --- | --- | --- | --- |
| Tianetal. | 0.74 | 0.52 | 0.61 |
| Zhangetal. | 0.71 | 0.43 | 0.54 |
| StradVision2 | 0.77 | 0.37 | 0.50 |
| StradVision1 | 0.53 | 0.46 | 0.50 |
| NJU-Text | 0.70 | 0.36 | 0.47 |
| AJOU | 0.47 | 0.47 | 0.47 |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 | | 0 |
| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |
| --- | --- | --- | --- | --- | --- |
| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |
| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |
| B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 | | | C.Auto.Driver | 18484 | 2.29 | 39.90 | 13.06 | 1331.84 |
| --- | --- | --- | --- | --- | --- |
| D.PublicTrans. | 6944 | 1.97 | 27.98 | 16.34 | 2875.92 |
| Auto.Passenger | 7658 | 2.00 | 24.32 | 17.69 | 2949.11 | | 1 |
| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |
| --- | --- | --- | --- | --- | --- |
| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |
| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |
| B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 | | | Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 850 | 1400 | 1400 | 400 |
| Min | 54s | 77s | 33s | 56s |
| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |
| Avg | 149s | 204s | 214s | 83s |
| Var | 2,331 | 6,737 | 10,723 | 293 |
| SD | 48 | 82 | 104 | 17 |
| 75thperc. | 191s | 274s | 302s | 97s |
| 95thperc. | 222s | 332s | 378s | 110s | | 0 |
| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |
| --- | --- | --- | --- | --- | --- |
| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |
| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 | | | B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 |
| --- | --- | --- | --- | --- | --- |
| C.Auto.Driver | 18484 | 2.29 | 39.90 | 13.06 | 1331.84 |
| D.PublicTrans. | 6944 | 1.97 | 27.98 | 16.34 | 2875.92 |
| Auto.Passenger | 7658 | 2.00 | 24.32 | 17.69 | 2949.11 | | 1 |
| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |
| --- | --- | --- | --- | --- | --- |
| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |
| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 | | | Var | 2,331 | 6,737 | 10,723 | 293 |
| --- | --- | --- | --- | --- |
| SD | 48 | 82 | 104 | 17 |
| 75thperc. | 191s | 274s | 302s | 97s |
| 95thperc. | 222s | 332s | 378s | 110s | | 0 |
| Dataset | LocalCovariances | CrossCovariances | |
| --- | --- | --- | --- |
| S:Fact0 | SS:343900 | SS:150004 | SS:314203 | | | S:Fou1 | SS:70811 | SS:79614 | SS:187710 |
| --- | --- | --- | --- |
| S:Kar2 | SS:68422 | SS:89621 | SS:130120 |
| S:Mor-Pix3 | SS:418633 | SS:144532 | SS:208131 |
| S:Zer4 | SS:52844 | SS:154343 | SS:74942 | | 1 |
| Dataset | LocalCovariances | CrossCovariances | |
| --- | --- | --- | --- |
| S:Fact0 | SS:343900 | SS:150004 | SS:314203 | | | Dataset | Site1 | Site2 | Site3 | Site4 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time | |
| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |
| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |
| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 | | 0 |
| Dataset | LocalCovariances | CrossCovariances | |
| --- | --- | --- | --- |
| S:Fact0 | SS:343900 | SS:150004 | SS:314203 |
| S:Fou1 | SS:70811 | SS:79614 | SS:187710 | | | S:Kar2 | SS:68422 | SS:89621 | SS:130120 |
| --- | --- | --- | --- |
| S:Mor-Pix3 | SS:418633 | SS:144532 | SS:208131 |
| S:Zer4 | SS:52844 | SS:154343 | SS:74942 | | 1 |
| Dataset | LocalCovariances | CrossCovariances | |
| --- | --- | --- | --- |
| S:Fact0 | SS:343900 | SS:150004 | SS:314203 |
| S:Fou1 | SS:70811 | SS:79614 | SS:187710 | | | Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 | | 0 |
| Category | rs | p |
| --- | --- | --- |
| Style | 0.6115095 | 2.2e-16 |
| Design | 0.51948 | 2.2e-16 | | | Fun | 0.2729658 | 3.745e-5 |
| --- | --- | --- |
| Frustration | -0.4393904 | 6.79e-12 |
| Challenge | -0.387222 | 2.351e-09 |
| Creativity | -0.1559725 | 0.02007 | | 1 |
| Category | rs | p |
| --- | --- | --- |
| Style | 0.6115095 | 2.2e-16 |
| Design | 0.51948 | 2.2e-16 | | | Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |
| --- | --- | --- | --- |
| Sports | 64 | 0.972 | 1.93×10 |
| Animals | 108 | 0.982 | 3.14×10 |
| Clothes | 88 | 0.882 | 1.71×10 |
| Food | 107 | 0.979 | 2.56×10 |
| Furniture | 38 | 0.942 | 5.52×10 |
| Music | 16 | 0.983 | 1.30×10 |
| Plants | 33 | 0.954 | 2.36×10 |
| Structures | 17 | 0.973 | 8.33×10 |
| Places | 73 | 1.000 | 6.03×10 |
| Scenes | 113 | 0.923 | 1.41×10 |
| Vehicles | 53 | 0.978 | 6.55×10 | | 0 |
| Category | rs | p |
| --- | --- | --- |
| Style | 0.6115095 | 2.2e-16 |
| Design | 0.51948 | 2.2e-16 | | | Fun | 0.2729658 | 3.745e-5 |
| --- | --- | --- |
| Frustration | -0.4393904 | 6.79e-12 |
| Challenge | -0.387222 | 2.351e-09 |
| Creativity | -0.1559725 | 0.02007 | | 1 |
| Category | rs | p |
| --- | --- | --- |
| Style | 0.6115095 | 2.2e-16 |
| Design | 0.51948 | 2.2e-16 | | | Clothes | 88 | 0.882 | 1.71×10 |
| --- | --- | --- | --- |
| Food | 107 | 0.979 | 2.56×10 |
| Furniture | 38 | 0.942 | 5.52×10 |
| Music | 16 | 0.983 | 1.30×10 |
| Plants | 33 | 0.954 | 2.36×10 |
| Structures | 17 | 0.973 | 8.33×10 |
| Places | 73 | 1.000 | 6.03×10 |
| Scenes | 113 | 0.923 | 1.41×10 |
| Vehicles | 53 | 0.978 | 6.55×10 | | 0 |
| Metric | Value |
| --- | --- |
| MeanAverageError(MAE) | 0.9108 | | | CorrelationCoefficient | 0.3051 |
| --- | --- |
| AverageBinaryAccuracy | 0.6094 |
| AverageWeightedBinaryAccuracy | 0.6108 |
| AverageF1Score | 0.6325 |
| Average5-ClassAccuracy | 0.3320 |
| Average7-ClassAccuracy | 0.3296 | | 1 |
| Metric | Value |
| --- | --- |
| MeanAverageError(MAE) | 0.9108 | | | OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |
| --- | --- | --- | --- | --- | --- |
| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |
| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |
| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |
| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 | | 0 |
| Metric | Value |
| --- | --- |
| MeanAverageError(MAE) | 0.9108 |
| CorrelationCoefficient | 0.3051 |
| AverageBinaryAccuracy | 0.6094 | | | AverageWeightedBinaryAccuracy | 0.6108 |
| --- | --- |
| AverageF1Score | 0.6325 |
| Average5-ClassAccuracy | 0.3320 |
| Average7-ClassAccuracy | 0.3296 | | 1 |
| Metric | Value |
| --- | --- |
| MeanAverageError(MAE) | 0.9108 |
| CorrelationCoefficient | 0.3051 |
| AverageBinaryAccuracy | 0.6094 | | | Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |
| --- | --- | --- | --- | --- | --- |
| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 | | 0 |
| | Buy | AAExist | AANew |
| --- | --- | --- | --- |
| SessionEntries | 147.02 | 14.13 | 80.33 |
| Observations | 5.64 | 2.06 | 3.33 |
| CRADLEExplanations | 8.74 | 1.00 | 1.33 |
| PHATTExplanations | 18.32 | 1.00 | 2.00 | | | CRADLETime(seconds) | 0.06 | 0.01 | 0.01 |
| --- | --- | --- | --- |
| PHATTTime(seconds) | 0.07 | 0.01 | 0.03 | | 1 |
| | Buy | AAExist | AANew |
| --- | --- | --- | --- |
| SessionEntries | 147.02 | 14.13 | 80.33 |
| Observations | 5.64 | 2.06 | 3.33 |
| CRADLEExplanations | 8.74 | 1.00 | 1.33 |
| PHATTExplanations | 18.32 | 1.00 | 2.00 | | | Model | Realpurchases | Predictedpurchases |
| --- | --- | --- |
| with12-hourobservationbaseline1 | 129 | 32 |
| with12-hourobservationbaseline2 | 129 | 245 |
| with12-hourobservationSP | 129 | 110 |
| Model | Realpurchases | Predictedpurchases |
| with12-hourobservationbaseline1 | 75 | 28 |
| with12-hourobservationbaseline2 | 75 | 147 |
| with12-hourobservationSP | 75 | 110 | | 0 |
| | Buy | AAExist | AANew |
| --- | --- | --- | --- |
| SessionEntries | 147.02 | 14.13 | 80.33 |
| Observations | 5.64 | 2.06 | 3.33 | | | CRADLEExplanations | 8.74 | 1.00 | 1.33 |
| --- | --- | --- | --- |
| PHATTExplanations | 18.32 | 1.00 | 2.00 |
| CRADLETime(seconds) | 0.06 | 0.01 | 0.01 |
| PHATTTime(seconds) | 0.07 | 0.01 | 0.03 | | 1 |
| | Buy | AAExist | AANew |
| --- | --- | --- | --- |
| SessionEntries | 147.02 | 14.13 | 80.33 |
| Observations | 5.64 | 2.06 | 3.33 | | | with12-hourobservationSP | 129 | 110 |
| --- | --- | --- |
| Model | Realpurchases | Predictedpurchases |
| with12-hourobservationbaseline1 | 75 | 28 |
| with12-hourobservationbaseline2 | 75 | 147 |
| with12-hourobservationSP | 75 | 110 | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| | | AAAcc. | WHAcc. | Diff. |
| --- | --- | --- | --- | --- |
| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 | | | IBMWatson | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 62.8<br>91.9<br>96.4<br>98.0 | 77.9<br>95.7<br>99.0<br>99.6 | 15.1<br>3.8<br>2.6<br>1.6 |
| --- | --- | --- | --- | --- |
| MicrosoftAzure | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 87.6<br>98.5<br>99.6<br>99.5 | 94.2<br>99.6<br>99.9<br>99.9 | 6.6<br>1.1<br>0.3<br>0.4 |
| Twitter | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 54.0<br>87.5<br>95.7<br>98.5 | 73.7<br>91.5<br>96.0<br>95.1 | 19.7<br>4.0<br>0.3<br>-3.0 | | 1 |
| | | AAAcc. | WHAcc. | Diff. |
| --- | --- | --- | --- | --- |
| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 | | | Index | σ0<br>Hp-valueCI2 | Index |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 | | 0 |
| | | AAAcc. | WHAcc. | Diff. |
| --- | --- | --- | --- | --- |
| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 |
| IBMWatson | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 62.8<br>91.9<br>96.4<br>98.0 | 77.9<br>95.7<br>99.0<br>99.6 | 15.1<br>3.8<br>2.6<br>1.6 | | | MicrosoftAzure | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 87.6<br>98.5<br>99.6<br>99.5 | 94.2<br>99.6<br>99.9<br>99.9 | 6.6<br>1.1<br>0.3<br>0.4 |
| --- | --- | --- | --- | --- |
| Twitter | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 54.0<br>87.5<br>95.7<br>98.5 | 73.7<br>91.5<br>96.0<br>95.1 | 19.7<br>4.0<br>0.3<br>-3.0 | | 1 |
| | | AAAcc. | WHAcc. | Diff. |
| --- | --- | --- | --- | --- |
| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 |
| IBMWatson | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 62.8<br>91.9<br>96.4<br>98.0 | 77.9<br>95.7<br>99.0<br>99.6 | 15.1<br>3.8<br>2.6<br>1.6 | | | WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |
| --- | --- | --- |
| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 | | 0 |
| Parameter | Userquin-tile | | |
| --- | --- | --- | --- |
| | Q1 | Q2 | Q3 |
| α | 0.634 | 1.0145 | 0.448 |
| β | 0.865 | 0.0 | 1.141 |
| θ | 0.129 | -0.730 | -0.020 | | | w1 | 0.00215 | 0.0 | 0.00006 |
| --- | --- | --- | --- |
| w2 | 0.00038 | 0.00030 | 0.0 |
| w3 | 0.00836 | -0.00135 | -300.0 |
| C | 8546 | 754 | -9 |
| RMSE | 52800 | 406 | 334 | | 1 |
| Parameter | Userquin-tile | | |
| --- | --- | --- | --- |
| | Q1 | Q2 | Q3 |
| α | 0.634 | 1.0145 | 0.448 |
| β | 0.865 | 0.0 | 1.141 |
| θ | 0.129 | -0.730 | -0.020 | | | \|Ω\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | |
| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |
| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |
| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |
| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |
| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |
| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |
| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 | | 0 |
| Parameter | Userquin-tile | | |
| --- | --- | --- | --- |
| | Q1 | Q2 | Q3 |
| α | 0.634 | 1.0145 | 0.448 |
| β | 0.865 | 0.0 | 1.141 | | | θ | 0.129 | -0.730 | -0.020 |
| --- | --- | --- | --- |
| w1 | 0.00215 | 0.0 | 0.00006 |
| w2 | 0.00038 | 0.00030 | 0.0 |
| w3 | 0.00836 | -0.00135 | -300.0 |
| C | 8546 | 754 | -9 |
| RMSE | 52800 | 406 | 334 | | 1 |
| Parameter | Userquin-tile | | |
| --- | --- | --- | --- |
| | Q1 | Q2 | Q3 |
| α | 0.634 | 1.0145 | 0.448 |
| β | 0.865 | 0.0 | 1.141 | | | 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |
| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |
| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 | | 0 |
| Type | \|V\| |
| --- | --- |
| Directed | 18,268,992 | | | Undirected | 59,216,214 |
| --- | --- |
| Weighted | 23,947,347 |
| Chain | 10,000,000 | | 1 |
| Type | \|V\| |
| --- | --- |
| Directed | 18,268,992 | | | Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Time(s) | Nodes | NodesinPath | Time(s) | Bound | | | |
| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |
| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |
| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |
| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 | | 0 |
| Type | \|V\| |
| --- | --- |
| Directed | 18,268,992 | | | Undirected | 59,216,214 |
| --- | --- |
| Weighted | 23,947,347 |
| Chain | 10,000,000 | | 1 |
| Type | \|V\| |
| --- | --- |
| Directed | 18,268,992 | | | 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |
| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 | | 0 |
| 1(1-max) | 5 | 10 | 15 |
| --- | --- | --- | --- |
| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |
| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |
| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |
| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |
| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) | | | 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |
| --- | --- | --- | --- |
| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |
| 64.77(64.38,65.20) | 64.54(64.0365.02) | 63.87(63.5864.37) | 63.44(63.0363.76) |
| 67.33(66.80,67.82) | 66.81(66.2467.25) | 66.98(66.4167.85) | 67.00(66.0467.90) | | 1 |
| 1(1-max) | 5 | 10 | 15 |
| --- | --- | --- | --- |
| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |
| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |
| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |
| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |
| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) | | | 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |
| --- | --- | --- | --- |
| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |
| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |
| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |
| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |
| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |
| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) | | 0 |
| 1(1-max) | 5 | 10 | 15 |
| --- | --- | --- | --- |
| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |
| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |
| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |
| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) | | | 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |
| --- | --- | --- | --- |
| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |
| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |
| 64.77(64.38,65.20) | 64.54(64.0365.02) | 63.87(63.5864.37) | 63.44(63.0363.76) |
| 67.33(66.80,67.82) | 66.81(66.2467.25) | 66.98(66.4167.85) | 67.00(66.0467.90) | | 1 |
| 1(1-max) | 5 | 10 | 15 |
| --- | --- | --- | --- |
| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |
| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |
| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |
| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) | | | 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |
| --- | --- | --- | --- |
| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |
| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |
| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) | | 0 |
| Phase1 | Coordinates | Error1 | HMM | 71,3 |
| --- | --- | --- | --- | --- |
| DTW | 40,6 | | | |
| Error2 | HMM | 70,1 | | |
| DTW | 28,9 | | | |
| Angles | Error1 | HMM | 78,1 | | | | DTW | 13,1 | | | |
| --- | --- | --- | --- | --- |
| Error2 | HMM | 64,7 | | |
| DTW | 10,4 | | | |
| Phase2 | Coordinates | Error1 | HMM | 65,5 |
| DTW | 35,0 | | | |
| Error2 | HMM | 62,0 | | |
| DTW | 26,0 | | | |
| Angles | Error1 | HMM | 81,3 | |
| DTW | 13,0 | | | |
| Error2 | HMM | 64,7 | | |
| DTW | 47,9 | | | | | 1 |
| Phase1 | Coordinates | Error1 | HMM | 71,3 |
| --- | --- | --- | --- | --- |
| DTW | 40,6 | | | |
| Error2 | HMM | 70,1 | | |
| DTW | 28,9 | | | |
| Angles | Error1 | HMM | 78,1 | | | | 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 |
| 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 | | 0 |
| Phase1 | Coordinates | Error1 | HMM | 71,3 |
| --- | --- | --- | --- | --- |
| DTW | 40,6 | | | |
| Error2 | HMM | 70,1 | | |
| DTW | 28,9 | | | |
| Angles | Error1 | HMM | 78,1 | |
| DTW | 13,1 | | | |
| Error2 | HMM | 64,7 | | |
| DTW | 10,4 | | | |
| Phase2 | Coordinates | Error1 | HMM | 65,5 |
| DTW | 35,0 | | | |
| Error2 | HMM | 62,0 | | | | | DTW | 26,0 | | |
| --- | --- | --- | --- |
| Angles | Error1 | HMM | 81,3 |
| DTW | 13,0 | | |
| Error2 | HMM | 64,7 | |
| DTW | 47,9 | | | | 1 |
| Phase1 | Coordinates | Error1 | HMM | 71,3 |
| --- | --- | --- | --- | --- |
| DTW | 40,6 | | | |
| Error2 | HMM | 70,1 | | |
| DTW | 28,9 | | | |
| Angles | Error1 | HMM | 78,1 | |
| DTW | 13,1 | | | |
| Error2 | HMM | 64,7 | | |
| DTW | 10,4 | | | |
| Phase2 | Coordinates | Error1 | HMM | 65,5 |
| DTW | 35,0 | | | |
| Error2 | HMM | 62,0 | | | | | 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 | | 0 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- | | | 27.44 | 43.01 | 50.82 |
| --- | --- | --- |
| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |
| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 | | 1 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- | | | rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |
| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |
| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |
| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 | | 0 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- | | | 27.44 | 43.01 | 50.82 |
| --- | --- | --- |
| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |
| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 | | 1 |
| rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- | | | 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |
| --- | --- | --- |
| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 | | 0 |
| K | dc | (d+1)/Kc | d/Kc | α(from)d |
| --- | --- | --- | --- | --- |
| 2 | 2 | 1.5 | 1 | 1 |
| 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 | | | 6 | 182 | 30.5 | 30.33 | 30.5 |
| --- | --- | --- | --- | --- |
| 7 | 400 | 57.28 | 57.14 | 57.22 |
| 8 | 856 | 107.13 | 107.00 | 107.24 | | 1 |
| K | dc | (d+1)/Kc | d/Kc | α(from)d |
| --- | --- | --- | --- | --- |
| 2 | 2 | 1.5 | 1 | 1 |
| 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 | | | K | αd | αf | αs | αo | αM |
| --- | --- | --- | --- | --- | --- |
| 2 | 1.5 | − | 1.5 | − | 2.8 |
| 3 | 4.16 | − | 4.55 | − | 5.83 |
| 4 | 8.4 | − | 10.15 | − | 11.56 |
| 5 | 16.2 | 20.3 | 21.26 | 20.7 | 22.8 |
| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |
| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |
| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 | | 0 |
| K | dc | (d+1)/Kc | d/Kc | α(from)d |
| --- | --- | --- | --- | --- |
| 2 | 2 | 1.5 | 1 | 1 |
| 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 |
| 6 | 182 | 30.5 | 30.33 | 30.5 | | | 7 | 400 | 57.28 | 57.14 | 57.22 |
| --- | --- | --- | --- | --- |
| 8 | 856 | 107.13 | 107.00 | 107.24 | | 1 |
| K | dc | (d+1)/Kc | d/Kc | α(from)d |
| --- | --- | --- | --- | --- |
| 2 | 2 | 1.5 | 1 | 1 |
| 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 |
| 6 | 182 | 30.5 | 30.33 | 30.5 | | | 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |
| --- | --- | --- | --- | --- | --- |
| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |
| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 | | 0 |
| ContextPRF |
| --- |
| both96.496.296.3 |
| bi-character94.994.694.8 | | | uni-character95.895.895.8 |
| --- |
| oracle-combined97.497.397.4 | | 1 |
| ContextPRF |
| --- |
| both96.496.296.3 |
| bi-character94.994.694.8 | | | BranchesofA | BranchesofB | BranchesofC |
| --- | --- | --- |
| *Flatten | | |
| FC-64 | FC-256 | FC-512 |
| FC-cA1 | FC-256 | FC-512 |
| | FC-cB1 | FC-cC1 |
| | **Flatten | |
| | FC-512 | FC-1024 |
| | FC-512 | FC-1024 |
| | FC-cB2 | FC-cC2 | | 0 |
| ContextPRF |
| --- |
| both96.496.296.3 | | | bi-character94.994.694.8 |
| --- |
| uni-character95.895.895.8 |
| oracle-combined97.497.397.4 | | 1 |
| ContextPRF |
| --- |
| both96.496.296.3 | | | FC-64 | FC-256 | FC-512 |
| --- | --- | --- |
| FC-cA1 | FC-256 | FC-512 |
| | FC-cB1 | FC-cC1 |
| | **Flatten | |
| | FC-512 | FC-1024 |
| | FC-512 | FC-1024 |
| | FC-cB2 | FC-cC2 | | 0 |
| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |
| --- | --- | --- | --- | --- |
| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |
| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 | | | E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |
| --- | --- | --- | --- | --- |
| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |
| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 | | 1 |
| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |
| --- | --- | --- | --- | --- |
| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |
| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 | | | Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 | | 0 |
| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |
| --- | --- | --- | --- | --- |
| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 | | | SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |
| --- | --- | --- | --- | --- |
| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |
| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |
| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 | | 1 |
| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |
| --- | --- | --- | --- | --- |
| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 | | | SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |
| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 | | 0 |
| operation | Latticesize | |
| --- | --- | --- |
| | | |
| +,-,*,/ | 0.0011 | 0.0046 | | | cos,sin | 0.0540 | 0.0650 |
| --- | --- | --- |
| log,exp | 0.0609 | 0.1100 | | 1 |
| operation | Latticesize | |
| --- | --- | --- |
| | | |
| +,-,*,/ | 0.0011 | 0.0046 | | | N | exp | s,i1 | s,i2 | s,s,i | f,i |
| --- | --- | --- | --- | --- | --- |
| 64 | 1 | 0.4 | 2 | 7 | 9 |
| 128 | 5 | 0.7 | 3 | 30 | 39 |
| 256 | 30 | 1.3 | 7 | 139 | 206 |
| 512 | 344 | 4.2 | 19 | 611 | 1200 | | 0 |
| operation | Latticesize | |
| --- | --- | --- |
| | | |
| +,-,*,/ | 0.0011 | 0.0046 | | | cos,sin | 0.0540 | 0.0650 |
| --- | --- | --- |
| log,exp | 0.0609 | 0.1100 | | 1 |
| operation | Latticesize | |
| --- | --- | --- |
| | | |
| +,-,*,/ | 0.0011 | 0.0046 | | | 256 | 30 | 1.3 | 7 | 139 | 206 |
| --- | --- | --- | --- | --- | --- |
| 512 | 344 | 4.2 | 19 | 611 | 1200 | | 0 |
| Imagetosentence |
| --- |
| R@1R@5R@10Medianrank | | | 2.56.79.7714 |
| --- |
| 0.00.41.21348 |
| 0.10.71.11103 |
| 1.25.79.5360 |
| 1.45.78.9278 |
| 10.429.340.017 | | 1 |
| Imagetosentence |
| --- |
| R@1R@5R@10Medianrank | | | Imagetosentence |
| --- |
| R@1R@5R@10Medianrank |
| 22.248.261.44.8 |
| 18.440.250.910 |
| 23.050.762.95 |
| 26.652.063.75 | | 0 |
| Imagetosentence |
| --- |
| R@1R@5R@10Medianrank |
| 2.56.79.7714 |
| 0.00.41.21348 |
| 0.10.71.11103 | | | 1.25.79.5360 |
| --- |
| 1.45.78.9278 |
| 10.429.340.017 | | 1 |
| Imagetosentence |
| --- |
| R@1R@5R@10Medianrank |
| 2.56.79.7714 |
| 0.00.41.21348 |
| 0.10.71.11103 | | | 22.248.261.44.8 |
| --- |
| 18.440.250.910 |
| 23.050.762.95 |
| 26.652.063.75 | | 0 |
| Nbof | BSSR1 | PRIVATE | BANCA |
| --- | --- | --- | --- |
| users | 512 | 100 | 208 | | | intratuples | 512 | 1600 | 467 |
| --- | --- | --- | --- |
| intertuples | 261632 | 158400 | 624 |
| items/tuples | 4 | 5 | 4 | | 1 |
| Nbof | BSSR1 | PRIVATE | BANCA |
| --- | --- | --- | --- |
| users | 512 | 100 | 208 | | | Nbof | BSSR1 | PRIVATE | BANCA |
| --- | --- | --- | --- |
| users | 512 | 100 | 208 |
| intratuple | 512 | 1600 | 467 |
| intertuple | 261632 | 158400 | 624 |
| items/tuples | 4 | 5 | 4 | | 0 |
| Nbof | BSSR1 | PRIVATE | BANCA |
| --- | --- | --- | --- |
| users | 512 | 100 | 208 |
| intratuples | 512 | 1600 | 467 | | | intertuples | 261632 | 158400 | 624 |
| --- | --- | --- | --- |
| items/tuples | 4 | 5 | 4 | | 1 |
| Nbof | BSSR1 | PRIVATE | BANCA |
| --- | --- | --- | --- |
| users | 512 | 100 | 208 |
| intratuples | 512 | 1600 | 467 | | | intertuple | 261632 | 158400 | 624 |
| --- | --- | --- | --- |
| items/tuples | 4 | 5 | 4 | | 0 |
| Predictor | AdjustedR | p−value |
| --- | --- | --- |
| AvgTweet-rate | 0.79 | 8.39e-09 | | | AvgTweet-rate+thcnt | 0.83 | 7.93e-09 |
| --- | --- | --- |
| AvgTweet-rate+PNratio | 0.92 | 4.31e-12 |
| Tweet-ratetimeseries | 0.84 | 4.18e-06 |
| Tweet-ratetimeseries+thcnt | 0.863 | 3.64e-06 |
| Tweet-ratetimeseries+PNratio | 0.94 | 1.84e-08 | | 1 |
| Predictor | AdjustedR | p−value |
| --- | --- | --- |
| AvgTweet-rate | 0.79 | 8.39e-09 | | | Datasets | TWEETS | GN | YELP |
| --- | --- | --- | --- |
| #ofmsg | 12.7M | 2.2M | 1.6M |
| Vocabularysize | 1.7M | 208K | 85K |
| Avg.#ofmsgkeywords | 9 | 7 | 37 |
| SizeinGB | 2.26 | 0.3 | 1.04 | | 0 |
| Predictor | AdjustedR | p−value |
| --- | --- | --- |
| AvgTweet-rate | 0.79 | 8.39e-09 |
| AvgTweet-rate+thcnt | 0.83 | 7.93e-09 |
| AvgTweet-rate+PNratio | 0.92 | 4.31e-12 |
| Tweet-ratetimeseries | 0.84 | 4.18e-06 | | | Tweet-ratetimeseries+thcnt | 0.863 | 3.64e-06 |
| --- | --- | --- |
| Tweet-ratetimeseries+PNratio | 0.94 | 1.84e-08 | | 1 |
| Predictor | AdjustedR | p−value |
| --- | --- | --- |
| AvgTweet-rate | 0.79 | 8.39e-09 |
| AvgTweet-rate+thcnt | 0.83 | 7.93e-09 |
| AvgTweet-rate+PNratio | 0.92 | 4.31e-12 |
| Tweet-ratetimeseries | 0.84 | 4.18e-06 | | | Avg.#ofmsgkeywords | 9 | 7 | 37 |
| --- | --- | --- | --- |
| SizeinGB | 2.26 | 0.3 | 1.04 | | 0 |
| Codec | Time(s) |
| --- | --- |
| JPEG | 0.39 |
| JPEG2000 | 0.59 |
| Balle’sworkwithCPU | 7.39 | | | ProposeCAEwithCPU | 2.29 |
| --- | --- |
| ProposeCAEwithGPU | 0.67 | | 1 |
| Codec | Time(s) |
| --- | --- |
| JPEG | 0.39 |
| JPEG2000 | 0.59 |
| Balle’sworkwithCPU | 7.39 | | | Teamname | meanAP |
| --- | --- |
| CUVideo(Ours) | 67.82 |
| ITLabVID-Inha | 51.50 |
| UIUC-IFP | 48.72 |
| Trimps-Soushen | 46.12 |
| 1-HKUST | 42.11 |
| HiVision | 37.52 |
| RUCBDAI | 35.97 | | 0 |
| Codec | Time(s) |
| --- | --- |
| JPEG | 0.39 |
| JPEG2000 | 0.59 | | | Balle’sworkwithCPU | 7.39 |
| --- | --- |
| ProposeCAEwithCPU | 2.29 |
| ProposeCAEwithGPU | 0.67 | | 1 |
| Codec | Time(s) |
| --- | --- |
| JPEG | 0.39 |
| JPEG2000 | 0.59 | | | HiVision | 37.52 |
| --- | --- |
| RUCBDAI | 35.97 | | 0 |
| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) | | |
| --- | --- | --- | --- | --- | --- |
| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |
| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |
| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |
| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |
| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 | | | frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |
| --- | --- | --- | --- | --- | --- |
| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 | | 1 |
| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) | | |
| --- | --- | --- | --- | --- | --- |
| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |
| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |
| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |
| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |
| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 | | | Pattern<br>Size | Algorithm | System1 | System2 | System3 |
| --- | --- | --- | --- | --- |
| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |
| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |
| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |
| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |
| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |
| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |
| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 | | 0 |
| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) | | |
| --- | --- | --- | --- | --- | --- |
| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 | | | frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |
| --- | --- | --- | --- | --- | --- |
| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |
| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |
| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |
| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |
| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 | | 1 |
| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) | | |
| --- | --- | --- | --- | --- | --- |
| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 | | | 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |
| --- | --- | --- | --- | --- |
| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |
| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |
| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |
| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 | | 0 |
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