premise string | hypothesis string | label int64 |
|---|---|---|
| Intersection | Left | Straight | Right | U-Turn | Total |
| --- | --- | --- | --- | --- | --- |
| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |
| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |
| Roslyn-Crieff | 183 | 3000 | 69 | 10 | 3262 |
| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 | | | Oliver-Wyndora | 374 | 5347 | 222 | 9 | 5952 |
| --- | --- | --- | --- | --- | --- |
| Total | 5316 | 16638 | 1900 | 58 | 23912 | | 1 |
| Intersection | Left | Straight | Right | U-Turn | Total |
| --- | --- | --- | --- | --- | --- |
| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |
| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |
| Roslyn-Crieff | 183 | 3000 | 69 | 10 | 3262 |
| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 | | | Alg. | H | AT | LWT | RWT | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |
| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |
| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |
| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 | | 0 |
| Intersection | Left | Straight | Right | U-Turn | Total |
| --- | --- | --- | --- | --- | --- |
| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |
| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |
| Roslyn-Crieff | 183 | 3000 | 69 | 10 | 3262 |
| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 | | | Oliver-Wyndora | 374 | 5347 | 222 | 9 | 5952 |
| --- | --- | --- | --- | --- | --- |
| Total | 5316 | 16638 | 1900 | 58 | 23912 | | 1 |
| Intersection | Left | Straight | Right | U-Turn | Total |
| --- | --- | --- | --- | --- | --- |
| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |
| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |
| Roslyn-Crieff | 183 | 3000 | 69 | 10 | 3262 |
| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 | | | O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |
| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 | | 0 |
| Classifier | AreaunderROC | Accuracy |
| --- | --- | --- |
| AdaBoost | .9961 | 99.53 |
| Bayesian | .9078 | 92.08 |
| DecisionTree | .9877 | 99.22 | | | LogitBoost | .9986 | 99.22 |
| --- | --- | --- |
| WeightedVoting | .9783 | 93.17 |
| Baseline | .8544 | 89.72 | | 1 |
| Classifier | AreaunderROC | Accuracy |
| --- | --- | --- |
| AdaBoost | .9961 | 99.53 |
| Bayesian | .9078 | 92.08 |
| DecisionTree | .9877 | 99.22 | | | Classifier | AreaUnderPrecision-RecallCurve | |
| --- | --- | --- |
| Class<30 | Class<30+Class>30 | |
| NaiveBayes | 0.214 | 0.63 |
| BayesNetwork | 0.208 | 0.637 |
| RandomForest | 0.242 | 0.65 |
| AdaboostTrees | 0.167 | 0.569 |
| NeuralNetworks | 0.233 | 0.654 | | 0 |
| Classifier | AreaunderROC | Accuracy |
| --- | --- | --- |
| AdaBoost | .9961 | 99.53 |
| Bayesian | .9078 | 92.08 | | | DecisionTree | .9877 | 99.22 |
| --- | --- | --- |
| LogitBoost | .9986 | 99.22 |
| WeightedVoting | .9783 | 93.17 |
| Baseline | .8544 | 89.72 | | 1 |
| Classifier | AreaunderROC | Accuracy |
| --- | --- | --- |
| AdaBoost | .9961 | 99.53 |
| Bayesian | .9078 | 92.08 | | | RandomForest | 0.242 | 0.65 |
| --- | --- | --- |
| AdaboostTrees | 0.167 | 0.569 |
| NeuralNetworks | 0.233 | 0.654 | | 0 |
| | Firm1 | Firm2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |
| | Π=67.13 | Π=65.72 | | | | | | | | |
| | F=10,H=1,K=25 | F=10,H=1,K=25 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |
| | Π=62.15 | Π=61.43 | | | | | | | | | | | | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |
| | Π=321.375 | Π=321.368 | | | | | | | | |
| | F=10,H=1,K=25 | F=10,H=1,K=25 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |
| | Π=354.558 | Π=354.55 | | | | | | | | | | 1 |
| | Firm1 | Firm2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |
| | Π=67.13 | Π=65.72 | | | | | | | | |
| | F=10,H=1,K=25 | F=10,H=1,K=25 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |
| | Π=62.15 | Π=61.43 | | | | | | | | | | | | Firm1 | Firm2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |
| | Π=67.13 | Π=65.72 | | | | | | | | |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |
| | Π=64.30 | Π=64.34 | | | | | | | | | | 0 |
| | Firm1 | Firm2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |
| | Π=67.13 | Π=65.72 | | | | | | | | |
| | F=10,H=1,K=25 | F=10,H=1,K=25 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |
| | Π=62.15 | Π=61.43 | | | | | | | | |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |
| | Π=321.375 | Π=321.368 | | | | | | | | | | | | F=10,H=1,K=25 | F=10,H=1,K=25 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |
| | Π=354.558 | Π=354.55 | | | | | | | | | | 1 |
| | Firm1 | Firm2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |
| | Π=67.13 | Π=65.72 | | | | | | | | |
| | F=10,H=1,K=25 | F=10,H=1,K=25 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |
| | Π=62.15 | Π=61.43 | | | | | | | | |
| | F=10,H=1,K=10 | F=10,H=1,K=10 | | | | | | | | |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |
| | Π=321.375 | Π=321.368 | | | | | | | | | | | | Π=67.13 | Π=65.72 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |
| | Π=64.30 | Π=64.34 | | | | | | | | | | 0 |
| Numberoflayers | 512width | 1024width |
| --- | --- | --- |
| 3 | 48.5 | 38.1 |
| 4 | 38.3 | 34.6 |
| 5 | 36.2 | 31.9 | | | 6 | 34.5 | 30.3 |
| --- | --- | --- |
| 7 | 32.5 | 30.6 |
| 8 | 31.0 | 31.3 |
| 9 | 31.4 | 29.4 |
| 10 | 31.5 | 29.4 | | 1 |
| Numberoflayers | 512width | 1024width |
| --- | --- | --- |
| 3 | 48.5 | 38.1 |
| 4 | 38.3 | 34.6 |
| 5 | 36.2 | 31.9 | | | block-size/sparsity | top-10 | top-20 | top-30 | top-40 |
| --- | --- | --- | --- | --- |
| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |
| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |
| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |
| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |
| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 | | 0 |
| Numberoflayers | 512width | 1024width |
| --- | --- | --- |
| 3 | 48.5 | 38.1 | | | 4 | 38.3 | 34.6 |
| --- | --- | --- |
| 5 | 36.2 | 31.9 |
| 6 | 34.5 | 30.3 |
| 7 | 32.5 | 30.6 |
| 8 | 31.0 | 31.3 |
| 9 | 31.4 | 29.4 |
| 10 | 31.5 | 29.4 | | 1 |
| Numberoflayers | 512width | 1024width |
| --- | --- | --- |
| 3 | 48.5 | 38.1 | | | 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |
| --- | --- | --- | --- | --- |
| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 | | 0 |
| LayerswithDropout | Dropoutratio | |
| --- | --- | --- |
| 0.4 | 0.5 | |
| fc7+fc6 | 0.854 | 0.853 |
| fc7+fc6+conv5 | 0.853 | 0.854 |
| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |
| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 | | | fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |
| --- | --- | --- |
| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 | | 1 |
| LayerswithDropout | Dropoutratio | |
| --- | --- | --- |
| 0.4 | 0.5 | |
| fc7+fc6 | 0.854 | 0.853 |
| fc7+fc6+conv5 | 0.853 | 0.854 |
| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |
| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 | | | Process | LayerName | LayerType | fpoperationsperimage | Device |
| --- | --- | --- | --- | --- |
| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |
| FC7 | FC-dropout | 33554432 | K40-cudnn | |
| FC8 | FC-softmax | 8192000 | K40-cudnn | |
| FC6 | FC-dropout | 75497472 | K40-cublas | |
| FC7 | FC-dropout | 33554432 | K40-cublas | |
| FC8 | FC-softmax | 8192000 | K40-cublas | |
| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |
| FC7 | FC-dropout | 67108864 | K40-cudnn | |
| FC8 | FC-softmax | 16384000 | K40-cudnn | |
| FC6 | FC-dropout | 150994944 | K40-cublas | |
| FC7 | FC-dropout | 67108864 | K40-cublas | |
| FC8 | FC-softmax | 16384000 | K40-cublas | | | 0 |
| LayerswithDropout | Dropoutratio |
| --- | --- |
| 0.4 | 0.5 | | | fc7+fc6 | 0.854 | 0.853 |
| --- | --- | --- |
| fc7+fc6+conv5 | 0.853 | 0.854 |
| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |
| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |
| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |
| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 | | 1 |
| LayerswithDropout | Dropoutratio |
| --- | --- |
| 0.4 | 0.5 | | | FC7 | FC-dropout | 33554432 | K40-cudnn | |
| --- | --- | --- | --- | --- |
| FC8 | FC-softmax | 8192000 | K40-cudnn | |
| FC6 | FC-dropout | 75497472 | K40-cublas | |
| FC7 | FC-dropout | 33554432 | K40-cublas | |
| FC8 | FC-softmax | 8192000 | K40-cublas | |
| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |
| FC7 | FC-dropout | 67108864 | K40-cudnn | |
| FC8 | FC-softmax | 16384000 | K40-cudnn | |
| FC6 | FC-dropout | 150994944 | K40-cublas | |
| FC7 | FC-dropout | 67108864 | K40-cublas | |
| FC8 | FC-softmax | 16384000 | K40-cublas | | | 0 |
| r | 2 | 3 | 4 |
| --- | --- | --- | --- |
| n1 | 1000 | 957 | 814 |
| n2 | 964 | 867 | 571 |
| n3 | 36 | 90 | 243 | | | n4 | 0 | 43 | 180 |
| --- | --- | --- | --- |
| n5 | 0 | 0 | 6 | | 1 |
| r | 2 | 3 | 4 |
| --- | --- | --- | --- |
| n1 | 1000 | 957 | 814 |
| n2 | 964 | 867 | 571 |
| n3 | 36 | 90 | 243 | | | 449 | 144 |
| --- | --- |
| 457 | 162 |
| 434 | 158 |
| 541 | 184 |
| 615 | 245 |
| 585 | 233 |
| 217 | 99 |
| 236 | 110 |
| 285 | 155 |
| 120 | 57 |
| 112 | 52 |
| 190 | 105 |
| 57 | 10 |
| 67 | 24 |
| 346 | 212 |
| 123 | 43 |
| 95 | 57 |
| 119 | 86 |
| 310 | 212 |
| 110 | 85 |
| 160 | 111 |
| 40 | 6 |
| 116 | 84 |
| 76 | 47 | | 0 |
| r | 2 | 3 | 4 |
| --- | --- | --- | --- |
| n1 | 1000 | 957 | 814 |
| n2 | 964 | 867 | 571 |
| n3 | 36 | 90 | 243 | | | n4 | 0 | 43 | 180 |
| --- | --- | --- | --- |
| n5 | 0 | 0 | 6 | | 1 |
| r | 2 | 3 | 4 |
| --- | --- | --- | --- |
| n1 | 1000 | 957 | 814 |
| n2 | 964 | 867 | 571 |
| n3 | 36 | 90 | 243 | | | 120 | 57 |
| --- | --- |
| 112 | 52 |
| 190 | 105 |
| 57 | 10 |
| 67 | 24 |
| 346 | 212 |
| 123 | 43 |
| 95 | 57 |
| 119 | 86 |
| 310 | 212 |
| 110 | 85 |
| 160 | 111 |
| 40 | 6 |
| 116 | 84 |
| 76 | 47 | | 0 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| EddyEko | 150000 | 15000 | 20000 | 100000 |
| FaridAL | 35000 | 150000 | 25000 | 30000 |
| JackFack | 180000 | 80000 | 30000 | 80000 | | | JeanKam | 450000 | 100000 | 200000 | 10000 |
| --- | --- | --- | --- | --- |
| LyneWirl | 50000 | 5000 | 10000 | 70000 |
| Menwick | 200000 | 20000 | 5000 | 5000 |
| SarahDong | 45000 | 25000 | 50000 | 60000 |
| SlyDolce | 70000 | 35000 | 40000 | 15000 | | 1 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| EddyEko | 150000 | 15000 | 20000 | 100000 |
| FaridAL | 35000 | 150000 | 25000 | 30000 |
| JackFack | 180000 | 80000 | 30000 | 80000 | | | Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 150000 | 20000 | 30000 | 80000 |
| SlyDolce | 35000 | 5000 | 25000 | 15000 |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 |
| LyneWirl | 180000 | 100000 | 50000 | 70000 |
| JackFack | 200000 | 80000 | 40000 | 60000 |
| FaridAl | 450000 | 150000 | 200000 | 100000 | | 0 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| EddyEko | 150000 | 15000 | 20000 | 100000 |
| FaridAL | 35000 | 150000 | 25000 | 30000 |
| JackFack | 180000 | 80000 | 30000 | 80000 |
| JeanKam | 450000 | 100000 | 200000 | 10000 |
| LyneWirl | 50000 | 5000 | 10000 | 70000 | | | Menwick | 200000 | 20000 | 5000 | 5000 |
| --- | --- | --- | --- | --- |
| SarahDong | 45000 | 25000 | 50000 | 60000 |
| SlyDolce | 70000 | 35000 | 40000 | 15000 | | 1 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| EddyEko | 150000 | 15000 | 20000 | 100000 |
| FaridAL | 35000 | 150000 | 25000 | 30000 |
| JackFack | 180000 | 80000 | 30000 | 80000 |
| JeanKam | 450000 | 100000 | 200000 | 10000 |
| LyneWirl | 50000 | 5000 | 10000 | 70000 | | | EddyEko | 50000 | 15000 | 20000 | 30000 |
| --- | --- | --- | --- | --- |
| LyneWirl | 180000 | 100000 | 50000 | 70000 |
| JackFack | 200000 | 80000 | 40000 | 60000 |
| FaridAl | 450000 | 150000 | 200000 | 100000 | | 0 |
| TheNumberofAction | 3 | 101 | 1001 | 2001 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |
| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |
| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |
| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |
| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |
| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |
| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |
| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |
| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |
| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 | | | Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |
| --- | --- | --- | --- | --- |
| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |
| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |
| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |
| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |
| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |
| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |
| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |
| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |
| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |
| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |
| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |
| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |
| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |
| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |
| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |
| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 | | 1 |
| TheNumberofAction | 3 | 101 | 1001 | 2001 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |
| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |
| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |
| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |
| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |
| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |
| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |
| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |
| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |
| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 | | | TheNumberofAction | 9 | 121 | 961 | 2601 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |
| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |
| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |
| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |
| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |
| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |
| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |
| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |
| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |
| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |
| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |
| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |
| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |
| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |
| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |
| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |
| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |
| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |
| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |
| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 |
| EpsGrdy+SoftBellman-0.1 | 9844 | 6918 | 6752 | 7849 |
| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |
| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |
| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |
| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 | | 0 |
| TheNumberofAction | 3 | 101 | 1001 | 2001 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |
| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |
| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |
| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |
| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |
| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |
| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |
| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |
| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |
| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |
| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |
| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |
| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |
| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |
| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |
| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |
| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |
| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |
| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |
| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |
| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 | | | EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |
| --- | --- | --- | --- | --- |
| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |
| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |
| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |
| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |
| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 | | 1 |
| TheNumberofAction | 3 | 101 | 1001 | 2001 |
| --- | --- | --- | --- | --- |
| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |
| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |
| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |
| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |
| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |
| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |
| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |
| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |
| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |
| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |
| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |
| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |
| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |
| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |
| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |
| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |
| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |
| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |
| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |
| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |
| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 | | | EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |
| --- | --- | --- | --- | --- |
| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |
| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |
| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 | | 0 |
| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |
| --- | --- | --- | --- | --- | --- |
| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 |
| 0.10 | 0.66 | 0.49 | 0.93 | 1.15 | 1.36 |
| 0.15 | 0.15 | 0.36 | 0.48 | 0.43 | 0.59 | | | 0.20 | 0.15 | 0.11 | 0.40 | 0.21 | 0.42 |
| --- | --- | --- | --- | --- | --- |
| 0.25 | 0.13 | 0.10 | 0.19 | 0.18 | 0.3 |
| 0.30 | 0.11 | 0.08 | 0.15 | 0.10 | 0.28 | | 1 |
| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |
| --- | --- | --- | --- | --- | --- |
| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 |
| 0.10 | 0.66 | 0.49 | 0.93 | 1.15 | 1.36 |
| 0.15 | 0.15 | 0.36 | 0.48 | 0.43 | 0.59 | | | Dataset | Size | Dimensions | Classes |
| --- | --- | --- | --- |
| COIL-20 | 1,440 | 1,024 | 20 |
| PenDigits | 7,494 | 16 | 10 |
| USPS | 9,298 | 256 | 10 |
| MNIST | 70,000 | 784 | 10 |
| RCV1 | 193,844 | 47,236 | 103 | | 0 |
| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |
| --- | --- | --- | --- | --- | --- |
| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 | | | 0.10 | 0.66 | 0.49 | 0.93 | 1.15 | 1.36 |
| --- | --- | --- | --- | --- | --- |
| 0.15 | 0.15 | 0.36 | 0.48 | 0.43 | 0.59 |
| 0.20 | 0.15 | 0.11 | 0.40 | 0.21 | 0.42 |
| 0.25 | 0.13 | 0.10 | 0.19 | 0.18 | 0.3 |
| 0.30 | 0.11 | 0.08 | 0.15 | 0.10 | 0.28 | | 1 |
| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |
| --- | --- | --- | --- | --- | --- |
| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 | | | MNIST | 70,000 | 784 | 10 |
| --- | --- | --- | --- |
| RCV1 | 193,844 | 47,236 | 103 | | 0 |
| | #threads | #branches | #tweets |
| --- | --- | --- | --- |
| Development | 25 | 215 | 281 | | | Testing | 28 | 772 | 1049 |
| --- | --- | --- | --- |
| Training | 272 | 3030 | 4238 |
| Total | 325 | 4017 | 5568 | | 1 |
| | #threads | #branches | #tweets |
| --- | --- | --- | --- |
| Development | 25 | 215 | 281 | | | | CNN | Dailymail | | |
| --- | --- | --- | --- | --- |
| #Training | Val | Test | Val | Test |
| 10 | 35.2 | 41.6 | 45.7 | 43.6 |
| 20 | 57.4 | 55.1 | 57.2 | 56.2 |
| 30 | 56.7 | 60.2 | 61.4 | 60.3 |
| 40 | 57 | 60 | 62.3 | 61.3 |
| 50 | 60.3 | 63.1 | 63.5 | 62.5 |
| 100 | 61.5 | 63.9 | 65.4 | 64.6 |
| 200 | 62.5 | 64.9 | 67.3 | 65.2 |
| 500 | 62.8 | 65 | 67.5 | 66.3 |
| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |
| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |
| 5000 | 64.3 | 65.8 | 69.1 | 67.3 | | 0 |
| | #threads | #branches | #tweets |
| --- | --- | --- | --- |
| Development | 25 | 215 | 281 |
| Testing | 28 | 772 | 1049 | | | Training | 272 | 3030 | 4238 |
| --- | --- | --- | --- |
| Total | 325 | 4017 | 5568 | | 1 |
| | #threads | #branches | #tweets |
| --- | --- | --- | --- |
| Development | 25 | 215 | 281 |
| Testing | 28 | 772 | 1049 | | | 200 | 62.5 | 64.9 | 67.3 | 65.2 |
| --- | --- | --- | --- | --- |
| 500 | 62.8 | 65 | 67.5 | 66.3 |
| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |
| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |
| 5000 | 64.3 | 65.8 | 69.1 | 67.3 | | 0 |
| Method | Book | DVD | Music | Average |
| --- | --- | --- | --- | --- |
| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 | | | TrainENG | 0.776 | 0.759 | 0.738 | 0.728 |
| --- | --- | --- | --- | --- |
| Co-Train(Best) | 0.796 | 0.804 | 0.783 | 0.794 |
| CL-SCL | 0.780 | 0.772 | 0.739 | 0.763 |
| NLP&CC2013(Best) | 0.785 | 0.777 | 0.751 | 0.771 |
| NTD(Best) | 0.805 | 0.822 | 0.797 | 0.808 |
| BSWE(Best) | 0.810 | 0.816 | 0.794 | 0.807 |
| SCL-OM | 0.829 | 0.826 | 0.787 | 0.814 |
| SCL-OM(Best) | 0.829 | 0.833 | 0.787 | 0.816 | | 1 |
| Method | Book | DVD | Music | Average |
| --- | --- | --- | --- | --- |
| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 | | | Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |
| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |
| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |
| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |
| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |
| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 | | 0 |
| Method | Book | DVD | Music | Average |
| --- | --- | --- | --- | --- |
| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 |
| TrainENG | 0.776 | 0.759 | 0.738 | 0.728 |
| Co-Train(Best) | 0.796 | 0.804 | 0.783 | 0.794 |
| CL-SCL | 0.780 | 0.772 | 0.739 | 0.763 | | | NLP&CC2013(Best) | 0.785 | 0.777 | 0.751 | 0.771 |
| --- | --- | --- | --- | --- |
| NTD(Best) | 0.805 | 0.822 | 0.797 | 0.808 |
| BSWE(Best) | 0.810 | 0.816 | 0.794 | 0.807 |
| SCL-OM | 0.829 | 0.826 | 0.787 | 0.814 |
| SCL-OM(Best) | 0.829 | 0.833 | 0.787 | 0.816 | | 1 |
| Method | Book | DVD | Music | Average |
| --- | --- | --- | --- | --- |
| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 |
| TrainENG | 0.776 | 0.759 | 0.738 | 0.728 |
| Co-Train(Best) | 0.796 | 0.804 | 0.783 | 0.794 |
| CL-SCL | 0.780 | 0.772 | 0.739 | 0.763 | | | AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |
| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 | | 0 |
| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |
| --- | --- | --- | --- | --- | --- |
| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |
| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 | | | K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |
| --- | --- | --- | --- | --- | --- |
| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |
| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 | | 1 |
| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |
| --- | --- | --- | --- | --- | --- |
| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |
| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 | | | InitializationMethod | FI | VFRatio | VTSFD | VFS | VXB |
| --- | --- | --- | --- | --- | --- |
| MacQueen2 | 1335052.363 | 11.0305 | 0.9169 | -1113107.01 | 0.1621 |
| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |
| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |
| K-Means++×10 | 1335046.425 | 11.0304 | 0.9148 | -1113101.04 | 0.1621 |
| MaxMinLinear | 1335357.554 | 11.0332 | 0.9169 | -1113412.13 | 0.1611 | | 0 |
| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |
| --- | --- | --- | --- | --- | --- |
| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 | | | Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |
| --- | --- | --- | --- | --- | --- |
| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |
| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |
| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 | | 1 |
| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |
| --- | --- | --- | --- | --- | --- |
| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 | | | Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |
| --- | --- | --- | --- | --- | --- |
| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |
| K-Means++×10 | 1335046.425 | 11.0304 | 0.9148 | -1113101.04 | 0.1621 |
| MaxMinLinear | 1335357.554 | 11.0332 | 0.9169 | -1113412.13 | 0.1611 | | 0 |
| GoogleNexus7 | 50000Additions |
| --- | --- |
| n=200 | 688 |
| 2000 | 633 |
| 4000 | 679 | | | 6000 | 770 |
| --- | --- |
| 8000 | 743 |
| 10000 | 763 | | 1 |
| GoogleNexus7 | 50000Additions |
| --- | --- |
| n=200 | 688 |
| 2000 | 633 |
| 4000 | 679 | | | 32 | 128 | 512 |
| --- | --- | --- |
| 32 | 128 | 512 |
| 288 | 1152 | 4608 |
| 800 | 3200 | 12800 |
| 1568 | 6272 | 25088 | | 0 |
| GoogleNexus7 | 50000Additions |
| --- | --- |
| n=200 | 688 |
| 2000 | 633 | | | 4000 | 679 |
| --- | --- |
| 6000 | 770 |
| 8000 | 743 |
| 10000 | 763 | | 1 |
| GoogleNexus7 | 50000Additions |
| --- | --- |
| n=200 | 688 |
| 2000 | 633 | | | 288 | 1152 | 4608 |
| --- | --- | --- |
| 800 | 3200 | 12800 |
| 1568 | 6272 | 25088 | | 0 |
| Layer | Filter/Stride | Outputsize |
| --- | --- | --- |
| Input | – | 1×51×51 |
| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |
| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |
| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 | | | Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |
| --- | --- | --- |
| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 | | 1 |
| Layer | Filter/Stride | Outputsize |
| --- | --- | --- |
| Input | – | 1×51×51 |
| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |
| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |
| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 | | | Layer | Input/FilterDimensions | |
| --- | --- | --- |
| Input | 512×512×1 | 512×512×1 |
| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |
| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |
| Conv3<br>MaxPooling | 64×3×3<br>2×2 | |
| Conv4<br>MaxPooling | 64×3×3<br>2×2 | |
| FC1 | 2048 | |
| FC2 | 1024 | | | 0 |
| Layer | Filter/Stride | Outputsize |
| --- | --- | --- |
| Input | – | 1×51×51 |
| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |
| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 | | | Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |
| --- | --- | --- |
| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |
| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 | | 1 |
| Layer | Filter/Stride | Outputsize |
| --- | --- | --- |
| Input | – | 1×51×51 |
| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |
| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 | | | Conv4<br>MaxPooling | 64×3×3<br>2×2 |
| --- | --- |
| FC1 | 2048 |
| FC2 | 1024 | | 0 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 | | | MicrosoftSQLServer | 530.1 | 5516.20 | 51075.7 |
| --- | --- | --- | --- |
| MySQL | 757.1 | 7326.4 | 76705.7 |
| PostgreSQL | 80.9 | 798.7 | 10476.7 |
| MongoDB | 54.9 | 533.8 | 5282.5 |
| CouchDB | 1,39 | 19,7 | 141,95 |
| Couchbase | 77,5 | 783,67 | 9188,13 | | 1 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 | | | Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 1000 | 3000 | 28000 |
| MySQL | 2438.5 | 25465.1 | 286934.4 |
| PostgreSQL | 111.2 | 1191.3 | 13429.1 |
| MongoDB | 86.7 | 914 | 19532.3 |
| CouchDB | 2.47 | 22.25 | 215.55 |
| Couchbase | 77.59 | 783.67 | 9188.13 | | 0 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 530.1 | 5516.20 | 51075.7 |
| MySQL | 757.1 | 7326.4 | 76705.7 | | | PostgreSQL | 80.9 | 798.7 | 10476.7 |
| --- | --- | --- | --- |
| MongoDB | 54.9 | 533.8 | 5282.5 |
| CouchDB | 1,39 | 19,7 | 141,95 |
| Couchbase | 77,5 | 783,67 | 9188,13 | | 1 |
| Numberofoperations | | | |
| --- | --- | --- | --- |
| Database | 1000 | 10000 | 100000 |
| MicrosoftSQLServer | 530.1 | 5516.20 | 51075.7 |
| MySQL | 757.1 | 7326.4 | 76705.7 | | | MicrosoftSQLServer | 1000 | 3000 | 28000 |
| --- | --- | --- | --- |
| MySQL | 2438.5 | 25465.1 | 286934.4 |
| PostgreSQL | 111.2 | 1191.3 | 13429.1 |
| MongoDB | 86.7 | 914 | 19532.3 |
| CouchDB | 2.47 | 22.25 | 215.55 |
| Couchbase | 77.59 | 783.67 | 9188.13 | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 0 |
| Sinusoidal | Erlang-2 | Exp |
| --- | --- | --- |
| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |
| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 | | | 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |
| --- | --- | --- |
| 114.7417 | 115.4359±1.4381 | 115.0131±1.7569 |
| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 | | 1 |
| Sinusoidal | Erlang-2 | Exp |
| --- | --- | --- |
| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |
| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 | | | Sinusoidal | Erlang-2 | Exp |
| --- | --- | --- |
| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |
| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |
| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |
| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 | | 0 |
| Sinusoidal | Erlang-2 | Exp |
| --- | --- | --- |
| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |
| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |
| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 | | | 114.7417 | 115.4359±1.4381 | 115.0131±1.7569 |
| --- | --- | --- |
| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 | | 1 |
| Sinusoidal | Erlang-2 | Exp |
| --- | --- | --- |
| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |
| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |
| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 | | | 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |
| --- | --- | --- |
| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 | | 0 |
| #ofConv | #pooling | Interpolation | P@1( |
| --- | --- | --- | --- |
| 3 | 3 | no | 66.01 |
| 3 | 3 | spline | 80.19 |
| 3 | 3 | linear | 80.29 |
| 4 | 4 | no | 67.21 |
| 4 | 4 | spline | 81.01 |
| 4 | 4 | linear | 81.65 |
| 5 | 3 | no | 67.05 | | | 5 | 3 | spline | 80.78 |
| --- | --- | --- | --- |
| 5 | 3 | linear | 81.52 | | 1 |
| #ofConv | #pooling | Interpolation | P@1( |
| --- | --- | --- | --- |
| 3 | 3 | no | 66.01 |
| 3 | 3 | spline | 80.19 |
| 3 | 3 | linear | 80.29 |
| 4 | 4 | no | 67.21 |
| 4 | 4 | spline | 81.01 |
| 4 | 4 | linear | 81.65 |
| 5 | 3 | no | 67.05 | | | nc | nf | JV | ALG1 | ALG2 |
| --- | --- | --- | --- | --- |
| 50 | 16 | 1.0642 | 1.0156 | 1.0 |
| 50 | 16 | 1.127 | 1.0363 | 1.0 |
| 50 | 16 | 1.1968 | 1.0258 | 1.0 |
| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |
| 50 | 25 | 1.1167 | 1.006 | 1.0028 |
| 50 | 25 | 1.2206 | 1.0393 | 1.0 |
| 50 | 25 | 1.3246 | 1.0277 | 1.0 |
| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |
| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |
| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |
| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |
| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |
| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |
| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |
| 1000 | 100 | 1.0055 | 1.0101 | 1.0 | | 0 |
| #ofConv | #pooling | Interpolation | P@1( |
| --- | --- | --- | --- |
| 3 | 3 | no | 66.01 | | | 3 | 3 | spline | 80.19 |
| --- | --- | --- | --- |
| 3 | 3 | linear | 80.29 |
| 4 | 4 | no | 67.21 |
| 4 | 4 | spline | 81.01 |
| 4 | 4 | linear | 81.65 |
| 5 | 3 | no | 67.05 |
| 5 | 3 | spline | 80.78 |
| 5 | 3 | linear | 81.52 | | 1 |
| #ofConv | #pooling | Interpolation | P@1( |
| --- | --- | --- | --- |
| 3 | 3 | no | 66.01 | | | 50 | 16 | 1.2649 | 1.0258 | 1.0022 |
| --- | --- | --- | --- | --- |
| 50 | 25 | 1.1167 | 1.006 | 1.0028 |
| 50 | 25 | 1.2206 | 1.0393 | 1.0 |
| 50 | 25 | 1.3246 | 1.0277 | 1.0 |
| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |
| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |
| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |
| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |
| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |
| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |
| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |
| 1000 | 100 | 1.0055 | 1.0101 | 1.0 | | 0 |
| Algorithm | RP | URP | RLS | URLS | RG | URG |
| --- | --- | --- | --- | --- | --- | --- |
| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 |
| COMfunction | 43.85 | 7.01 | 194.52 | 6.91 | 366.43 | 7.16 | | | half-productsfunction | 0.35 | 0.22 | 0.98 | 0.52 | 9.96 | 4.59 |
| --- | --- | --- | --- | --- | --- | --- |
| linearlyperturbedfunction | 1.37 | 0.06 | 3.12 | 0.06 | 15.92 | 0.06 | | 1 |
| Algorithm | RP | URP | RLS | URLS | RG | URG |
| --- | --- | --- | --- | --- | --- | --- |
| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 |
| COMfunction | 43.85 | 7.01 | 194.52 | 6.91 | 366.43 | 7.16 | | | Method | LFW-a4× | LFW-a8× | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | |
| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |
| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |
| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |
| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |
| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |
| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |
| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |
| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |
| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 | | 0 |
| Algorithm | RP | URP | RLS | URLS | RG | URG |
| --- | --- | --- | --- | --- | --- | --- |
| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 | | | COMfunction | 43.85 | 7.01 | 194.52 | 6.91 | 366.43 | 7.16 |
| --- | --- | --- | --- | --- | --- | --- |
| half-productsfunction | 0.35 | 0.22 | 0.98 | 0.52 | 9.96 | 4.59 |
| linearlyperturbedfunction | 1.37 | 0.06 | 3.12 | 0.06 | 15.92 | 0.06 | | 1 |
| Algorithm | RP | URP | RLS | URLS | RG | URG |
| --- | --- | --- | --- | --- | --- | --- |
| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 | | | MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |
| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |
| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 | | 0 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| david | 113 | 52 | 0.984 | 0.19 |
| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |
| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |
| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |
| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |
| games120 | 8088 | 96920 | 121.047 | 429.02 |
| miles500 | 145 | 318 | 7.156 | 2.11 |
| miles750 | 938 | 369 | 62.797 | 9.83 |
| miles1000 | 168 | 65 | 19.062 | 13.62 |
| myciel3 | 0 | 19 | 0.000 | 0.00 |
| myciel4 | 37 | 48 | 0.109 | 0.03 |
| myciel5 | 290 | 169 | 0.828 | 0.28 |
| myciel6 | 551 | 458 | 12.094 | 5.14 |
| myciel7 | 14737 | 2441 | 880.875 | 160.59 | | | queen66 | 0 | 81 | 0.016 | 1.42 |
| --- | --- | --- | --- | --- |
| queen77 | 0 | 263 | 0.063 | 7.78 |
| queen88 | 0 | 3533 | 0.031 | 42.44 |
| queen812 | 3175 | 162911 | 77.297 | (1800)(cid:63) |
| queen99 | 959 | 291471 | 14.375 | 1067.5 |
| queen1010 | 5412 | 126778 | 105.765 | (1800)(cid:63) |
| queen1111 | 13410 | 55220 | 456.781 | (1800)(cid:63) |
| queen1212 | 24635 | 25897 | 1245.080 | (1800)(cid:63) |
| moyenne | 9751 | 49339 | 229.223 | 634.97 | | 1 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| david | 113 | 52 | 0.984 | 0.19 |
| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |
| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |
| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |
| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |
| games120 | 8088 | 96920 | 121.047 | 429.02 |
| miles500 | 145 | 318 | 7.156 | 2.11 |
| miles750 | 938 | 369 | 62.797 | 9.83 |
| miles1000 | 168 | 65 | 19.062 | 13.62 |
| myciel3 | 0 | 19 | 0.000 | 0.00 |
| myciel4 | 37 | 48 | 0.109 | 0.03 |
| myciel5 | 290 | 169 | 0.828 | 0.28 |
| myciel6 | 551 | 458 | 12.094 | 5.14 |
| myciel7 | 14737 | 2441 | 880.875 | 160.59 | | | Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| L125.ash608 | 142 | 82 | 2.375 | 0.50 |
| L125.will199 | 135 | 119 | 2.562 | 0.35 |
| L125.west0167 | 69 | 73 | 1.906 | 0.22 |
| ash331 | 183 | 212 | 2.812 | 0.82 |
| west0132 | 105 | 85 | 4.297 | 0.42 |
| rw136 | 1635 | 17386 | 28.875 | 57.57 |
| bcspwr03 | 99 | 73 | 2.422 | 0.38 |
| gre115 | 5573 | 6659 | 82.812 | 28.77 |
| L125.dw162 | 469 | 214 | 8.360 | 1.15 |
| L125.can187 | 786 | 5353 | 16.984 | 23.22 |
| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |
| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |
| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |
| can144 | 1362 | 64203 | 31.250 | 443.49 |
| lunda | 385 | 2705 | 45.891 | 155.29 |
| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |
| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |
| L125.fs1831 | 240 | 1175 | 35.016 | 36.21 |
| bcsstk04 | 600 | 89 | 26.796 | 80.01 |
| arc130 | 268 | 129 | 99.328 | 137.42 |
| moyenne | 1466 | 16414 | 53.981 | 147.92 | | 0 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| david | 113 | 52 | 0.984 | 0.19 |
| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |
| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |
| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |
| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |
| games120 | 8088 | 96920 | 121.047 | 429.02 |
| miles500 | 145 | 318 | 7.156 | 2.11 |
| miles750 | 938 | 369 | 62.797 | 9.83 |
| miles1000 | 168 | 65 | 19.062 | 13.62 |
| myciel3 | 0 | 19 | 0.000 | 0.00 |
| myciel4 | 37 | 48 | 0.109 | 0.03 |
| myciel5 | 290 | 169 | 0.828 | 0.28 |
| myciel6 | 551 | 458 | 12.094 | 5.14 |
| myciel7 | 14737 | 2441 | 880.875 | 160.59 |
| queen66 | 0 | 81 | 0.016 | 1.42 |
| queen77 | 0 | 263 | 0.063 | 7.78 |
| queen88 | 0 | 3533 | 0.031 | 42.44 |
| queen812 | 3175 | 162911 | 77.297 | (1800)(cid:63) |
| queen99 | 959 | 291471 | 14.375 | 1067.5 |
| queen1010 | 5412 | 126778 | 105.765 | (1800)(cid:63) | | | queen1111 | 13410 | 55220 | 456.781 | (1800)(cid:63) |
| --- | --- | --- | --- | --- |
| queen1212 | 24635 | 25897 | 1245.080 | (1800)(cid:63) |
| moyenne | 9751 | 49339 | 229.223 | 634.97 | | 1 |
| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |
| --- | --- | --- | --- | --- |
| david | 113 | 52 | 0.984 | 0.19 |
| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |
| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |
| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |
| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |
| games120 | 8088 | 96920 | 121.047 | 429.02 |
| miles500 | 145 | 318 | 7.156 | 2.11 |
| miles750 | 938 | 369 | 62.797 | 9.83 |
| miles1000 | 168 | 65 | 19.062 | 13.62 |
| myciel3 | 0 | 19 | 0.000 | 0.00 |
| myciel4 | 37 | 48 | 0.109 | 0.03 |
| myciel5 | 290 | 169 | 0.828 | 0.28 |
| myciel6 | 551 | 458 | 12.094 | 5.14 |
| myciel7 | 14737 | 2441 | 880.875 | 160.59 |
| queen66 | 0 | 81 | 0.016 | 1.42 |
| queen77 | 0 | 263 | 0.063 | 7.78 |
| queen88 | 0 | 3533 | 0.031 | 42.44 |
| queen812 | 3175 | 162911 | 77.297 | (1800)(cid:63) |
| queen99 | 959 | 291471 | 14.375 | 1067.5 |
| queen1010 | 5412 | 126778 | 105.765 | (1800)(cid:63) | | | bcsstk04 | 600 | 89 | 26.796 | 80.01 |
| --- | --- | --- | --- | --- |
| arc130 | 268 | 129 | 99.328 | 137.42 |
| moyenne | 1466 | 16414 | 53.981 | 147.92 | | 0 |
| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |
| --- | --- | --- | --- | --- | --- |
| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |
| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 | | | 50×20 | 4,38 | 7,27 | 9,06 | 9,64 | 10,17 |
| --- | --- | --- | --- | --- | --- |
| 20×20 | 4,43 | 7,35 | 9,22 | 10,04 | 10,85 | | 1 |
| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |
| --- | --- | --- | --- | --- | --- |
| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |
| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 | | | 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |
| --- | --- | --- |
| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |
| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |
| --- | --- | --- | --- | --- | --- |
| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |
| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 | | | 50×20 | 4,38 | 7,27 | 9,06 | 9,64 | 10,17 |
| --- | --- | --- | --- | --- | --- |
| 20×20 | 4,43 | 7,35 | 9,22 | 10,04 | 10,85 | | 1 |
| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |
| --- | --- | --- | --- | --- | --- |
| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |
| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 | | | 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| --- | --- | --- |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| BorrowerCountry | LenderCountry |
| --- | --- |
| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) | | | NV.AGR.TOTL.KD | PersistencetoLastGradePrimaryEducation(SE.PRM.PRSL.ZS) |
| --- | --- |
| IT.CEL.SETS | HighYouthLiteracyRates(SE.ADT.1524.LT.ZS) |
| NV.IND.MANF.ZS | HighMilitaryExpenditure(MS.MIL.XPND.GD.ZS) |
| SH.TBS.INCD | LowPrevalenceofoverweightchildren(SH.STA.OWGH.ZS) | | 1 |
| BorrowerCountry | LenderCountry |
| --- | --- |
| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) | | | Symbol | Definition |
| --- | --- |
| N | amountofrequestsattimeslott |
| M | numberofresourcetypes |
| | |
| C | currentavailaberesourceC={c,c,...,c}12M |
| W | totalresourcesW={w,w,...,w}12M |
| L | prioritylevel |
| K | amountofacceptedrequestedattimeslot |
| α | constantbasicpricevalue |
| β | influencefactorofpriority | | 0 |
| BorrowerCountry | LenderCountry |
| --- | --- |
| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) |
| NV.AGR.TOTL.KD | PersistencetoLastGradePrimaryEducation(SE.PRM.PRSL.ZS) |
| IT.CEL.SETS | HighYouthLiteracyRates(SE.ADT.1524.LT.ZS) | | | NV.IND.MANF.ZS | HighMilitaryExpenditure(MS.MIL.XPND.GD.ZS) |
| --- | --- |
| SH.TBS.INCD | LowPrevalenceofoverweightchildren(SH.STA.OWGH.ZS) | | 1 |
| BorrowerCountry | LenderCountry |
| --- | --- |
| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) |
| NV.AGR.TOTL.KD | PersistencetoLastGradePrimaryEducation(SE.PRM.PRSL.ZS) |
| IT.CEL.SETS | HighYouthLiteracyRates(SE.ADT.1524.LT.ZS) | | | K | amountofacceptedrequestedattimeslot |
| --- | --- |
| α | constantbasicpricevalue |
| β | influencefactorofpriority | | 0 |
| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |
| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |
| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong | | | 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |
| --- | --- | --- | --- | --- | --- | --- |
| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |
| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |
| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |
| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |
| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |
| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |
| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |
| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |
| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |
| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong | | 1 |
| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |
| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |
| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong | | | i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |
| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |
| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |
| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |
| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |
| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |
| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |
| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |
| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |
| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |
| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |
| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |
| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |
| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong | | 0 |
| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |
| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |
| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |
| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |
| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |
| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |
| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |
| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |
| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |
| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |
| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong | | | 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |
| --- | --- | --- | --- | --- | --- | --- |
| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |
| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong | | 1 |
| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |
| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |
| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |
| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |
| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |
| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |
| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |
| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |
| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |
| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |
| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong | | | 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |
| --- | --- | --- | --- | --- | --- | --- |
| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |
| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |
| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |
| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |
| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong | | 0 |
| Parameter | Value |
| --- | --- |
| CPU | IntelXeonX5570 |
| GPU | NVIDIATeslaC2050/C2070 | | | OperatingSystem | CentOSX8664 |
| --- | --- |
| CUDAToolkit | 5.1 |
| GCC | 4.4 |
| CPUcodescompilation | -O3option |
| floatpointnumberprecision | double | | 1 |
| Parameter | Value |
| --- | --- |
| CPU | IntelXeonX5570 |
| GPU | NVIDIATeslaC2050/C2070 | | | CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
| Parameter | Value |
| --- | --- |
| CPU | IntelXeonX5570 | | | GPU | NVIDIATeslaC2050/C2070 |
| --- | --- |
| OperatingSystem | CentOSX8664 |
| CUDAToolkit | 5.1 |
| GCC | 4.4 |
| CPUcodescompilation | -O3option |
| floatpointnumberprecision | double | | 1 |
| Parameter | Value |
| --- | --- |
| CPU | IntelXeonX5570 | | | SMsandSPs | 13and192 |
| --- | --- |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
| Methods | PSNRs |
| --- | --- |
| NormalizedConvolution | 16.05 | | | CNNs-basedInpaiting | 30.52 |
| --- | --- |
| PatchMatchbasedCompletion | 24.81 |
| Ours | 41.21 | | 1 |
| Methods | PSNRs |
| --- | --- |
| NormalizedConvolution | 16.05 | | | Method | Accuracy |
| --- | --- |
| DAG-CNN | 77.5 |
| DeepSpatialPyramid | 78.3 |
| B-CNN | 79.0 |
| FV-CNN | 79.2 |
| SPLeap | 73.5 |
| StandardVGG16 | 69.6 |
| StandardVGG16FT | 76.4 |
| Multi-ScaleNetwork | 79.0 |
| OurApproach | 81.9 |
| OurApproach+StandardVGG16 | 83.1 | | 0 |
| Methods | PSNRs |
| --- | --- |
| NormalizedConvolution | 16.05 |
| CNNs-basedInpaiting | 30.52 | | | PatchMatchbasedCompletion | 24.81 |
| --- | --- |
| Ours | 41.21 | | 1 |
| Methods | PSNRs |
| --- | --- |
| NormalizedConvolution | 16.05 |
| CNNs-basedInpaiting | 30.52 | | | StandardVGG16FT | 76.4 |
| --- | --- |
| Multi-ScaleNetwork | 79.0 |
| OurApproach | 81.9 |
| OurApproach+StandardVGG16 | 83.1 | | 0 |
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