premise string | hypothesis string | label int64 |
|---|---|---|
| Pretraining | HMDB51Acc. | |
| --- | --- | --- |
| Ours | Authors | Ours | | | Sports-1M | 48.24 | 50.30* | 93.66 |
| --- | --- | --- | --- |
| Kinetics | –.– | 74.80* | –.– |
| ImageNet | 51.70 | 54.40 | 85.25 |
| ImageNet | 43.86 | 43.90 | 80.20 | | 1 |
| Pretraining | HMDB51Acc. | |
| --- | --- | --- |
| Ours | Authors | Ours | | | Model | UCF-101 | HMDB-51 |
| --- | --- | --- |
| Two-Stream | 88.0 | 59.4 |
| IDT | 86.4 | 61.7 |
| DynamicImageNetworks+IDT | 89.1 | 65.2 |
| TDD+IDT | 91.5 | 65.9 |
| Two-StreamFusion+IDT | 93.5 | 69.2 |
| TemporalSegmentNetworks | 94.2 | 69.4 |
| ST-ResNet+IDT | 94.6 | 70.3 |
| DeepNetworks,Sports1Mpre-training | 65.2 | - |
| C3Donenetwork,Sports1Mpre-training | 82.3 | - |
| C3Densemble,Sports1Mpre-training | 85.2 | - |
| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |
| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |
| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |
| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |
| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |
| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |
| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 | | 0 |
| Pretraining | HMDB51Acc. | | |
| --- | --- | --- | --- |
| Ours | Authors | Ours | |
| Sports-1M | 48.24 | 50.30* | 93.66 | | | Kinetics | –.– | 74.80* | –.– |
| --- | --- | --- | --- |
| ImageNet | 51.70 | 54.40 | 85.25 |
| ImageNet | 43.86 | 43.90 | 80.20 | | 1 |
| Pretraining | HMDB51Acc. | | |
| --- | --- | --- | --- |
| Ours | Authors | Ours | |
| Sports-1M | 48.24 | 50.30* | 93.66 | | | DeepNetworks,Sports1Mpre-training | 65.2 | - |
| --- | --- | --- |
| C3Donenetwork,Sports1Mpre-training | 82.3 | - |
| C3Densemble,Sports1Mpre-training | 85.2 | - |
| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |
| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |
| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |
| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |
| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |
| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |
| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 | | 0 |
| Segmentation | 1/2 | 2/3 | 3/4 |
| --- | --- | --- | --- |
| AAL | 0.8448 | 0.8886 | 0.9179 |
| R90 | 0.8402 | 0.8838 | 0.9475 | | | R1000 | 0.8714 | 0.8787 | 0.8495 |
| --- | --- | --- | --- |
| R2000 | 0.7997 | 0.8556 | 0.8697 |
| Grid | 0.8700 | 0.8960 | 0.8709 |
| S40 | 0.8520 | 0.8813 | 0.9124 | | 1 |
| Segmentation | 1/2 | 2/3 | 3/4 |
| --- | --- | --- | --- |
| AAL | 0.8448 | 0.8886 | 0.9179 |
| R90 | 0.8402 | 0.8838 | 0.9475 | | | c1 | c2 | c3 | c4 | c5 | AA | OA |
| --- | --- | --- | --- | --- | --- | --- |
| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |
| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |
| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |
| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |
| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 | | 0 |
| Segmentation | 1/2 | 2/3 | 3/4 |
| --- | --- | --- | --- |
| AAL | 0.8448 | 0.8886 | 0.9179 |
| R90 | 0.8402 | 0.8838 | 0.9475 |
| R1000 | 0.8714 | 0.8787 | 0.8495 |
| R2000 | 0.7997 | 0.8556 | 0.8697 | | | Grid | 0.8700 | 0.8960 | 0.8709 |
| --- | --- | --- | --- |
| S40 | 0.8520 | 0.8813 | 0.9124 | | 1 |
| Segmentation | 1/2 | 2/3 | 3/4 |
| --- | --- | --- | --- |
| AAL | 0.8448 | 0.8886 | 0.9179 |
| R90 | 0.8402 | 0.8838 | 0.9475 |
| R1000 | 0.8714 | 0.8787 | 0.8495 |
| R2000 | 0.7997 | 0.8556 | 0.8697 | | | 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |
| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 | | 0 |
| #Parameters | MaxMin-CNN | Simple-CNN |
| --- | --- | --- |
| ≈30K | 73.81 | 69.98 |
| ≈15K | 78.13 | 74.44 |
| ≈60K | 80.03 | 77.01 |
| ≈2M | 81.68 | 78.11 |
| ≈5M | 82.07 | 79.48 | | | ≈15M | 82.69 | 80.13 |
| --- | --- | --- |
| ≈45M | 82.98 | 80.41 | | 1 |
| #Parameters | MaxMin-CNN | Simple-CNN |
| --- | --- | --- |
| ≈30K | 73.81 | 69.98 |
| ≈15K | 78.13 | 74.44 |
| ≈60K | 80.03 | 77.01 |
| ≈2M | 81.68 | 78.11 |
| ≈5M | 82.07 | 79.48 | | | Layer | LayerType | Size | OutputShape |
| --- | --- | --- | --- |
| 1 | Convolution+Maxout | 488×8filters | |
| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |
| 2 | Convolution+Maxout | 488×8filters | |
| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
| #Parameters | MaxMin-CNN | Simple-CNN |
| --- | --- | --- |
| ≈30K | 73.81 | 69.98 | | | ≈15K | 78.13 | 74.44 |
| --- | --- | --- |
| ≈60K | 80.03 | 77.01 |
| ≈2M | 81.68 | 78.11 |
| ≈5M | 82.07 | 79.48 |
| ≈15M | 82.69 | 80.13 |
| ≈45M | 82.98 | 80.41 | | 1 |
| #Parameters | MaxMin-CNN | Simple-CNN |
| --- | --- | --- |
| ≈30K | 73.81 | 69.98 | | | 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| --- | --- | --- | --- |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
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| Numberoftransaction | (runtimeinminute) |
| --- | --- |
| 100K | 27.4 |
| 250K | 69.1 | | | 750K | 86.1 |
| --- | --- |
| 1000K | 98.7 | | 1 |
| Numberoftransaction | (runtimeinminute) |
| --- | --- |
| 100K | 27.4 |
| 250K | 69.1 | | | 32 | 128 | 512 |
| --- | --- | --- |
| 32 | 128 | 512 |
| 288 | 1152 | 4608 |
| 800 | 3200 | 12800 |
| 1568 | 6272 | 25088 | | 0 |
| Numberoftransaction | (runtimeinminute) |
| --- | --- |
| 100K | 27.4 | | | 250K | 69.1 |
| --- | --- |
| 750K | 86.1 |
| 1000K | 98.7 | | 1 |
| Numberoftransaction | (runtimeinminute) |
| --- | --- |
| 100K | 27.4 | | | 800 | 3200 | 12800 |
| --- | --- | --- |
| 1568 | 6272 | 25088 | | 0 |
| | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |
| --- | --- | --- | --- | --- |
| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |
| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |
| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |
| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 | | | φ:1.6 | 15.8±9.38 | 6.63±3.68 | 23.7±10.6 | 10.8±5.23 |
| --- | --- | --- | --- | --- |
| φ:2.4 | 22.7±14.7 | 13.2±7.06 | 31.2±11.6 | 14.9±5.26 |
| θ:−1.6 | 55.6±26 | 37.1±20.8 | 119±43.3 | 59.8±29.5 |
| θ:−0.79 | 105±44.9 | 37.9±20.9 | 104±37.3 | 61.8±22.4 |
| θ:0 | 44.1±44 | 11.6±9.75 | 39.2±22.1 | 23.3±9.82 |
| θ:0.79 | 35.9±23.2 | 15.8±11.1 | 24.7±12.3 | 15.3±4.76 |
| θ:1.6 | 31.9±18.4 | 15.6±9.5 | 55±23.1 | 30.2±25.9 |
| θ:2.4 | 17.2±14.8 | 10.8±7.38 | 83.6±56 | 24.3±23.9 |
| θ:3.1 | 24.5±19.6 | 12.6±6.88 | 92.7±68.1 | 11.9±8.72 |
| θ:3.9 | 26.1±17.1 | 8±5.67 | 61.5±42.7 | 18.6±11.1 | | 1 |
| | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |
| --- | --- | --- | --- | --- |
| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |
| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |
| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |
| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 | | | \|A\| | | | |
| --- | --- | --- | --- |
| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |
| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |
| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |
| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |
| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |
| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |
| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |
| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |
| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |
| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 | | 0 |
| | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |
| --- | --- | --- | --- | --- |
| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |
| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |
| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |
| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 |
| φ:1.6 | 15.8±9.38 | 6.63±3.68 | 23.7±10.6 | 10.8±5.23 |
| φ:2.4 | 22.7±14.7 | 13.2±7.06 | 31.2±11.6 | 14.9±5.26 | | | θ:−1.6 | 55.6±26 | 37.1±20.8 | 119±43.3 | 59.8±29.5 |
| --- | --- | --- | --- | --- |
| θ:−0.79 | 105±44.9 | 37.9±20.9 | 104±37.3 | 61.8±22.4 |
| θ:0 | 44.1±44 | 11.6±9.75 | 39.2±22.1 | 23.3±9.82 |
| θ:0.79 | 35.9±23.2 | 15.8±11.1 | 24.7±12.3 | 15.3±4.76 |
| θ:1.6 | 31.9±18.4 | 15.6±9.5 | 55±23.1 | 30.2±25.9 |
| θ:2.4 | 17.2±14.8 | 10.8±7.38 | 83.6±56 | 24.3±23.9 |
| θ:3.1 | 24.5±19.6 | 12.6±6.88 | 92.7±68.1 | 11.9±8.72 |
| θ:3.9 | 26.1±17.1 | 8±5.67 | 61.5±42.7 | 18.6±11.1 | | 1 |
| | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |
| --- | --- | --- | --- | --- |
| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |
| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |
| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |
| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 |
| φ:1.6 | 15.8±9.38 | 6.63±3.68 | 23.7±10.6 | 10.8±5.23 |
| φ:2.4 | 22.7±14.7 | 13.2±7.06 | 31.2±11.6 | 14.9±5.26 | | | 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |
| --- | --- | --- | --- |
| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 | | 0 |
| Rank | PageRank | AuthorRank |
| --- | --- | --- |
| 1 | EdwardA.Fox | HsinchunChen |
| 2 | HsinchunChen | EdwardA.Fox |
| 3 | CarlLagoze | IanH.Witten |
| 4 | JudithKlavans | GaryMarchionini |
| 5 | RichardFuruta | HectorGarcia-Molina |
| 6 | GaryMarchionini | CarlLagoze |
| 7 | MichaelG.Christel | AlexanderG.Hauptmann |
| 8 | TerenceR.Smith | JudithKlavans |
| 9 | TamaraSumner | RichardFuruta |
| 10 | IanH.Witten | TerenceR.Smith | | | 11 | AlexanderG.Hauptmann | TamaraSumner |
| --- | --- | --- |
| 12 | HectorGarcia-Molina | Ee-PengLim |
| 13 | JavedMostafa | MichaelG.Christel |
| 14 | AlexaT.McCray | MichaelL.Nelson |
| 15 | Ee-PengLim | WeeKeongNg |
| 16 | DavidBainbridge | JavedMostafa |
| 17 | SallyJoCunningham | DavidBainbridge |
| 18 | LuisGravano | J.AlfredoS´anchez |
| 19 | CatherineC.Marshall | AlexaT.McCray |
| 20 | W.BruceCroft | AndreasPaepcke | | 1 |
| Rank | PageRank | AuthorRank |
| --- | --- | --- |
| 1 | EdwardA.Fox | HsinchunChen |
| 2 | HsinchunChen | EdwardA.Fox |
| 3 | CarlLagoze | IanH.Witten |
| 4 | JudithKlavans | GaryMarchionini |
| 5 | RichardFuruta | HectorGarcia-Molina |
| 6 | GaryMarchionini | CarlLagoze |
| 7 | MichaelG.Christel | AlexanderG.Hauptmann |
| 8 | TerenceR.Smith | JudithKlavans |
| 9 | TamaraSumner | RichardFuruta |
| 10 | IanH.Witten | TerenceR.Smith | | | Rank | Numberofparticipants | Topic |
| --- | --- | --- |
| 1 | 4,35M | humor |
| 2 | 4,10M | humor |
| 3 | 3,76M | movies |
| 4 | 3,69M | humor |
| 5 | 3,59M | humor |
| 6 | 3,58M | facts |
| 7 | 3,36M | cookery |
| 8 | 3,31M | humor |
| 9 | 3,14M | humor |
| 10 | 3,14M | movies |
| 100 | 1,65M | successstories | | 0 |
| Rank | PageRank | AuthorRank |
| --- | --- | --- |
| 1 | EdwardA.Fox | HsinchunChen |
| 2 | HsinchunChen | EdwardA.Fox |
| 3 | CarlLagoze | IanH.Witten |
| 4 | JudithKlavans | GaryMarchionini |
| 5 | RichardFuruta | HectorGarcia-Molina |
| 6 | GaryMarchionini | CarlLagoze |
| 7 | MichaelG.Christel | AlexanderG.Hauptmann | | | 8 | TerenceR.Smith | JudithKlavans |
| --- | --- | --- |
| 9 | TamaraSumner | RichardFuruta |
| 10 | IanH.Witten | TerenceR.Smith |
| 11 | AlexanderG.Hauptmann | TamaraSumner |
| 12 | HectorGarcia-Molina | Ee-PengLim |
| 13 | JavedMostafa | MichaelG.Christel |
| 14 | AlexaT.McCray | MichaelL.Nelson |
| 15 | Ee-PengLim | WeeKeongNg |
| 16 | DavidBainbridge | JavedMostafa |
| 17 | SallyJoCunningham | DavidBainbridge |
| 18 | LuisGravano | J.AlfredoS´anchez |
| 19 | CatherineC.Marshall | AlexaT.McCray |
| 20 | W.BruceCroft | AndreasPaepcke | | 1 |
| Rank | PageRank | AuthorRank |
| --- | --- | --- |
| 1 | EdwardA.Fox | HsinchunChen |
| 2 | HsinchunChen | EdwardA.Fox |
| 3 | CarlLagoze | IanH.Witten |
| 4 | JudithKlavans | GaryMarchionini |
| 5 | RichardFuruta | HectorGarcia-Molina |
| 6 | GaryMarchionini | CarlLagoze |
| 7 | MichaelG.Christel | AlexanderG.Hauptmann | | | 10 | 3,14M | movies |
| --- | --- | --- |
| 100 | 1,65M | successstories | | 0 |
| Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |
| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb | | | Two-Stream | 12M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| --- | --- | --- | --- | --- |
| 3D-Fused | 39M | 5rgb,50flow | 2s | 25rgb,250flow |
| Two-StreamI3D | 25M | 64rgb,64flow | 2.56s | 250rgb,250flow | | 1 |
| Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |
| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb | | | Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |
| (b)Two-Stream | 48M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb | | 0 |
| Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb | | | 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |
| --- | --- | --- | --- | --- |
| Two-Stream | 12M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| 3D-Fused | 39M | 5rgb,50flow | 2s | 25rgb,250flow |
| Two-StreamI3D | 25M | 64rgb,64flow | 2.56s | 250rgb,250flow | | 1 |
| Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb | | | (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |
| --- | --- | --- | --- | --- |
| (b)Two-Stream | 48M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb | | 0 |
| n | d=g | d=4g | d=16g | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | µ | σ | max | µ | σ | max | µ | σ | max |
| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |
| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |
| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |
| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |
| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 | | | 4,096 | 6.82 | 0.46 | 8 | 18.81 | 0.64 | 21 | 68.21 | 3.94 | 86 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16,384 | 7.04 | 0.20 | 8 | 18.95 | 0.46 | 20 | 67.65 | 1.76 | 73 |
| 65,536 | 7.16 | 0.37 | 8 | 19.06 | 0.34 | 20 | 67.12 | 0.89 | 71 |
| 262,144 | 7.30 | 0.46 | 8 | 19.09 | 0.29 | 20 | 66.88 | 0.59 | 69 |
| 1,048,576 | 7.59 | 0.49 | 8 | 19.15 | 0.36 | 20 | 66.70 | 0.50 | 68 |
| 4,194,304 | 7.92 | 0.27 | 8 | 19.21 | 0.41 | 20 | 66.59 | 0.49 | 67 |
| 16,777,216 | 8.00 | 0.00 | 8 | 19.41 | 0.49 | 20 | 66.79 | 0.41 | 67 | | 1 |
| n | d=g | d=4g | d=16g | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | µ | σ | max | µ | σ | max | µ | σ | max |
| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |
| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |
| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |
| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |
| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 | | | n | d=g | d=4g | d=16g | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | A | B | A | B | A | B |
| 4 | 14.75 | 37 | - | - | - | - |
| 16 | 20.90 | 54 | 71.40 | 118 | - | - |
| 64 | 27.35 | 79 | 82.80 | 177 | 317.90 | 442 |
| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |
| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |
| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |
| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |
| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |
| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |
| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |
| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |
| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 | | 0 |
| n | d=g | d=4g | d=16g | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | µ | σ | max | µ | σ | max | µ | σ | max | | | 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |
| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |
| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |
| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 |
| 4,096 | 6.82 | 0.46 | 8 | 18.81 | 0.64 | 21 | 68.21 | 3.94 | 86 |
| 16,384 | 7.04 | 0.20 | 8 | 18.95 | 0.46 | 20 | 67.65 | 1.76 | 73 |
| 65,536 | 7.16 | 0.37 | 8 | 19.06 | 0.34 | 20 | 67.12 | 0.89 | 71 |
| 262,144 | 7.30 | 0.46 | 8 | 19.09 | 0.29 | 20 | 66.88 | 0.59 | 69 |
| 1,048,576 | 7.59 | 0.49 | 8 | 19.15 | 0.36 | 20 | 66.70 | 0.50 | 68 |
| 4,194,304 | 7.92 | 0.27 | 8 | 19.21 | 0.41 | 20 | 66.59 | 0.49 | 67 |
| 16,777,216 | 8.00 | 0.00 | 8 | 19.41 | 0.49 | 20 | 66.79 | 0.41 | 67 | | 1 |
| n | d=g | d=4g | d=16g | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | µ | σ | max | µ | σ | max | µ | σ | max | | | 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |
| --- | --- | --- | --- | --- | --- | --- |
| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |
| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |
| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |
| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |
| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |
| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |
| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |
| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 | | 0 |
| | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |
| --- | --- | --- | --- | --- |
| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 | | | Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |
| --- | --- | --- | --- | --- |
| Pruning | – | – | 0.57 | 0.56 |
| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |
| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |
| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 | | 1 |
| | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |
| --- | --- | --- | --- | --- |
| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 | | | Cut | links<br>(ME) | attributes | both(CME) | | |
| --- | --- | --- | --- | --- | --- |
| d=4 | d=1000 | d=4 | d=1000 | | |
| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |
| A | 3.02 | 0.96 | 8.92 | 3.98 | 11.95 |
| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |
| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |
| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |
| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |
| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |
| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 | | 0 |
| | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |
| --- | --- | --- | --- | --- |
| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |
| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |
| Pruning | – | – | 0.57 | 0.56 |
| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 | | | Preferences | 3.63 | 1.57 | 1.27 | 0.41 |
| --- | --- | --- | --- | --- |
| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 | | 1 |
| | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |
| --- | --- | --- | --- | --- |
| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |
| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |
| Pruning | – | – | 0.57 | 0.56 |
| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 | | | A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |
| --- | --- | --- | --- | --- | --- |
| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |
| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |
| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 | | 0 |
| | a | b | r |
| --- | --- | --- | --- |
| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 | | | 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |
| --- | --- | --- | --- |
| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |
| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |
| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |
| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 | | 1 |
| | a | b | r |
| --- | --- | --- | --- |
| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 | | | | a | b | r |
| --- | --- | --- | --- |
| DhrystoneMean(MIPS) | 2064 | 0.1709 | 0.9946 |
| DhrystoneVariance | 1.379e6 | 0.3313 | 0.9937 |
| WhetstoneMean(MIPS) | 1179 | 0.1157 | 0.9981 |
| WhetstoneVariance | 3.237e5 | 0.1057 | 0.8795 |
| DiskSpaceMean(GB) | 31.59 | 0.2691 | 0.9955 |
| DiskSpaceVariance | 2890 | 0.5224 | 0.9954 | | 0 |
| | a | b | r |
| --- | --- | --- | --- |
| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |
| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |
| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |
| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 | | | 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |
| --- | --- | --- | --- |
| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 | | 1 |
| | a | b | r |
| --- | --- | --- | --- |
| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |
| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |
| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |
| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 | | | WhetstoneMean(MIPS) | 1179 | 0.1157 | 0.9981 |
| --- | --- | --- | --- |
| WhetstoneVariance | 3.237e5 | 0.1057 | 0.8795 |
| DiskSpaceMean(GB) | 31.59 | 0.2691 | 0.9955 |
| DiskSpaceVariance | 2890 | 0.5224 | 0.9954 | | 0 |
| System | P | R | F0.5 |
| --- | --- | --- | --- |
| Baseline | 50.56 | 22.68 | 40.58 |
| Reranking | | | | | | 5-best | 50.32 | 22.99 | 40.65 |
| --- | --- | --- | --- |
| 10-best | 50.79 | 22.92 | 40.85 |
| Editselection | | | |
| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 | | 1 |
| System | P | R | F0.5 |
| --- | --- | --- | --- |
| Baseline | 50.56 | 22.68 | 40.58 |
| Reranking | | | | | | rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |
| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 |
| 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |
| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 | | 0 |
| System | P | R | F0.5 |
| --- | --- | --- | --- |
| Baseline | 50.56 | 22.68 | 40.58 |
| Reranking | | | |
| 5-best | 50.32 | 22.99 | 40.65 | | | 10-best | 50.79 | 22.92 | 40.85 |
| --- | --- | --- | --- |
| Editselection | | | |
| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 | | 1 |
| System | P | R | F0.5 |
| --- | --- | --- | --- |
| Baseline | 50.56 | 22.68 | 40.58 |
| Reranking | | | |
| 5-best | 50.32 | 22.99 | 40.65 | | | 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |
| --- | --- | --- |
| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 | | 0 |
| Symbol | Definition |
| --- | --- |
| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |
| D | Aquantitativedatabase,D={T,T,...,T}.12n |
| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |
| TID | EachT∈Dhasauniquetransactionidentifier.n |
| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |
| sup(X) | ThesupportofanitemsetXinDorQSD. |
| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |
| pr(i)j | Thepredefinedunitprofitofanitemi.j |
| u(i,T)jq | TheutilityofanitemiintransactionT.jq |
| u(X,T)q | TheutilityofanitemsetXintransactionT.q |
| tu(T)q | ThesumoftheutilitiesofitemsintransactionT.q |
| minsup | Apredefinedminimumsupportthreshold. |
| minconf | Apredefinedminimumconfidencethreshold. |
| minutil | Apredefinedminimumhigh-utilitythreshold. |
| TWU | Thetransaction-weightedutilityofapattern. |
| TWDC | Thetransaction-weighteddownwardclosureproperty. |
| HTWUI | Ahightransaction-weightedutilizationitemset. | | | HUI | Ahigh-utilityitemset. |
| --- | --- |
| HUPM | High-utilityorutility-orientedpatternmining. |
| k-itemset | Anitemsetwithknumberofitemsinitself. | | 1 |
| Symbol | Definition |
| --- | --- |
| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |
| D | Aquantitativedatabase,D={T,T,...,T}.12n |
| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |
| TID | EachT∈Dhasauniquetransactionidentifier.n |
| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |
| sup(X) | ThesupportofanitemsetXinDorQSD. |
| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |
| pr(i)j | Thepredefinedunitprofitofanitemi.j |
| u(i,T)jq | TheutilityofanitemiintransactionT.jq |
| u(X,T)q | TheutilityofanitemsetXintransactionT.q |
| tu(T)q | ThesumoftheutilitiesofitemsintransactionT.q |
| minsup | Apredefinedminimumsupportthreshold. |
| minconf | Apredefinedminimumconfidencethreshold. |
| minutil | Apredefinedminimumhigh-utilitythreshold. |
| TWU | Thetransaction-weightedutilityofapattern. |
| TWDC | Thetransaction-weighteddownwardclosureproperty. |
| HTWUI | Ahightransaction-weightedutilizationitemset. | | | Ω | Universeofallvalidentities(unknownsize) |
| --- | --- |
| r | Avaliduniqueentityordataitem |
| D | Groundtruthortheunderlyingpopulation |
| S | Observedsampleofsizen=\|S\|,withduplicates |
| K | IntegrateddatabasewithonlyuniqueentitiesfromS |
| U | UnknownunknownsthatexistinD,butnotinSorK |
| M0 | UnknownunknownsdistributionmassinD |
| c | ThenumberofuniquedataitemsinS;c=\|K\| |
| sj | Sourcejwithn=\|s\|dataitemsjj |
| N | Thesizeofthegroundtruth;N=\|D\| |
| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |
| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |
| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |
| F | Thesetoffrequencystatistics,{f,f,...,f}12n |
| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |
| γ | Coefficientofvariance(dataskewmeasure) |
| C | Samplecoverage,alsoC=1−M0 | | 0 |
| Symbol | Definition |
| --- | --- |
| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |
| D | Aquantitativedatabase,D={T,T,...,T}.12n |
| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |
| TID | EachT∈Dhasauniquetransactionidentifier.n |
| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |
| sup(X) | ThesupportofanitemsetXinDorQSD. |
| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |
| pr(i)j | Thepredefinedunitprofitofanitemi.j |
| u(i,T)jq | TheutilityofanitemiintransactionT.jq |
| u(X,T)q | TheutilityofanitemsetXintransactionT.q | | | tu(T)q | ThesumoftheutilitiesofitemsintransactionT.q |
| --- | --- |
| minsup | Apredefinedminimumsupportthreshold. |
| minconf | Apredefinedminimumconfidencethreshold. |
| minutil | Apredefinedminimumhigh-utilitythreshold. |
| TWU | Thetransaction-weightedutilityofapattern. |
| TWDC | Thetransaction-weighteddownwardclosureproperty. |
| HTWUI | Ahightransaction-weightedutilizationitemset. |
| HUI | Ahigh-utilityitemset. |
| HUPM | High-utilityorutility-orientedpatternmining. |
| k-itemset | Anitemsetwithknumberofitemsinitself. | | 1 |
| Symbol | Definition |
| --- | --- |
| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |
| D | Aquantitativedatabase,D={T,T,...,T}.12n |
| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |
| TID | EachT∈Dhasauniquetransactionidentifier.n |
| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |
| sup(X) | ThesupportofanitemsetXinDorQSD. |
| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |
| pr(i)j | Thepredefinedunitprofitofanitemi.j |
| u(i,T)jq | TheutilityofanitemiintransactionT.jq |
| u(X,T)q | TheutilityofanitemsetXintransactionT.q | | | ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |
| --- | --- |
| γ | Coefficientofvariance(dataskewmeasure) |
| C | Samplecoverage,alsoC=1−M0 | | 0 |
| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |
| --- | --- | --- | --- |
| v1dns | CVE-2016-3227 | 10.0 | 1.0 |
| v1web | CVE-2016-4448 | 10.0 | 1.0 |
| v2web | CVE-2015-4602 | 10.0 | 1.0 |
| v3web | CVE-2015-4603 | 10.0 | 1.0 |
| v4web | CVE-2016-4979 | 2.9 | 1.0 |
| v5web | CVE-2016-4805 | 10.0 | 0.39 | | | v1app | CVE-2016-3586 | 10.0 | 1.0 |
| --- | --- | --- | --- |
| v2app | CVE-2016-3510 | 10.0 | 1.0 |
| v3app | CVE-2016-3499 | 10.0 | 1.0 |
| v4app | CVE-2016-0638 | 6.4 | 1.0 |
| v5app | CVE-2016-4997 | 10.0 | 0.39 |
| v1db | CVE-2016-6662 | 10.0 | 1.0 |
| v2db | CVE-2016-0639 | 10.0 | 1.0 |
| v3db | CVE-2015-3152 | 2.9 | 0.86 |
| v4db | CVE-2016-3471 | 10.0 | 0.39 |
| v5db | CVE-2016-4997 | 10.0 | 0.39 | | 1 |
| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |
| --- | --- | --- | --- |
| v1dns | CVE-2016-3227 | 10.0 | 1.0 |
| v1web | CVE-2016-4448 | 10.0 | 1.0 |
| v2web | CVE-2015-4602 | 10.0 | 1.0 |
| v3web | CVE-2015-4603 | 10.0 | 1.0 |
| v4web | CVE-2016-4979 | 2.9 | 1.0 |
| v5web | CVE-2016-4805 | 10.0 | 0.39 | | | Instance | #V#Csolution |
| --- | --- |
| b14optbug2vec1-gt-0 | 130328402707402706 |
| b15-bug-4vec-gt-0 | 5810641712690– |
| b15-bug-1vec-gt-0 | 121836359040359039 |
| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |
| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |
| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |
| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |
| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |
| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |
| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |
| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |
| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |
| c5315-bug-gt-0 | 188050495048 |
| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |
| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |
| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |
| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |
| c6288-bug-gt-0 | 346292859284 |
| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |
| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |
| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |
| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |
| c7552-bug-gt-0 | 264070087007 |
| motcomb1.red-gt-0 | 215953265325 |
| motcomb2.red-gt-0 | 54841389413893 |
| motcomb3.red-gt-0 | 112652952029519 |
| s15850-bug-4vec-gt-0 | 88544206252206248 |
| s15850-bug-1vec-gt-0 | 221365156351562 |
| s38584-bug-1vec-gt-0 | 314272819830819829 | | 0 |
| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |
| --- | --- | --- | --- |
| v1dns | CVE-2016-3227 | 10.0 | 1.0 |
| v1web | CVE-2016-4448 | 10.0 | 1.0 |
| v2web | CVE-2015-4602 | 10.0 | 1.0 | | | v3web | CVE-2015-4603 | 10.0 | 1.0 |
| --- | --- | --- | --- |
| v4web | CVE-2016-4979 | 2.9 | 1.0 |
| v5web | CVE-2016-4805 | 10.0 | 0.39 |
| v1app | CVE-2016-3586 | 10.0 | 1.0 |
| v2app | CVE-2016-3510 | 10.0 | 1.0 |
| v3app | CVE-2016-3499 | 10.0 | 1.0 |
| v4app | CVE-2016-0638 | 6.4 | 1.0 |
| v5app | CVE-2016-4997 | 10.0 | 0.39 |
| v1db | CVE-2016-6662 | 10.0 | 1.0 |
| v2db | CVE-2016-0639 | 10.0 | 1.0 |
| v3db | CVE-2015-3152 | 2.9 | 0.86 |
| v4db | CVE-2016-3471 | 10.0 | 0.39 |
| v5db | CVE-2016-4997 | 10.0 | 0.39 | | 1 |
| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |
| --- | --- | --- | --- |
| v1dns | CVE-2016-3227 | 10.0 | 1.0 |
| v1web | CVE-2016-4448 | 10.0 | 1.0 |
| v2web | CVE-2015-4602 | 10.0 | 1.0 | | | motcomb3.red-gt-0 | 112652952029519 |
| --- | --- |
| s15850-bug-4vec-gt-0 | 88544206252206248 |
| s15850-bug-1vec-gt-0 | 221365156351562 |
| s38584-bug-1vec-gt-0 | 314272819830819829 | | 0 |
| | nodes | edges | averageDegree | averageclusteringcoefficient |
| --- | --- | --- | --- | --- |
| Facebook | 775 | 14006 | 36.14 | 0.47 | | | GooglePlus | 240276 | 30751120 | 255.96 | 0.51 |
| --- | --- | --- | --- | --- |
| Yelp | 119839 | 954116 | 15.92 | 0.12 |
| Youtube | 1134890 | 2987624 | 5.26 | 0.08 |
| Clusteringgraph | 90 | 1707 | 37.93 | 0.99 |
| Barbellgraph | 100 | 2451 | 49.02 | 0.99 | | 1 |
| | nodes | edges | averageDegree | averageclusteringcoefficient |
| --- | --- | --- | --- | --- |
| Facebook | 775 | 14006 | 36.14 | 0.47 | | | Metric | Facebook | SmallTwitter | LargeTwitter |
| --- | --- | --- | --- |
| #Nodes | 43,953 | 8,167 | 41,652,230 |
| #Edges | 182,384 | 68,282 | 1,202,513,046 |
| Ave.degree | 8.29 | 16.72 | 57.74 |
| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 | | 0 |
| | nodes | edges | averageDegree | averageclusteringcoefficient |
| --- | --- | --- | --- | --- |
| Facebook | 775 | 14006 | 36.14 | 0.47 |
| GooglePlus | 240276 | 30751120 | 255.96 | 0.51 | | | Yelp | 119839 | 954116 | 15.92 | 0.12 |
| --- | --- | --- | --- | --- |
| Youtube | 1134890 | 2987624 | 5.26 | 0.08 |
| Clusteringgraph | 90 | 1707 | 37.93 | 0.99 |
| Barbellgraph | 100 | 2451 | 49.02 | 0.99 | | 1 |
| | nodes | edges | averageDegree | averageclusteringcoefficient |
| --- | --- | --- | --- | --- |
| Facebook | 775 | 14006 | 36.14 | 0.47 |
| GooglePlus | 240276 | 30751120 | 255.96 | 0.51 | | | #Edges | 182,384 | 68,282 | 1,202,513,046 |
| --- | --- | --- | --- |
| Ave.degree | 8.29 | 16.72 | 57.74 |
| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 | | 0 |
| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 | | | 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |
| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 |
| 7864320 | 7,982 | 15,837 | 31,672 | 62,941 | 125,793 | 118,578 | 475,919 |
| 15728640 | 7,913 | 15,808 | 31,536 | 63,008 | 125,728 | 250,092 | 498,543 |
| 31457280 | 7,930 | 15,883 | 31,582 | 55,060 | 125,540 | 125,300 | 499,833 | | 1 |
| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 | | | Problemsize | T1 | T8 | T16 | T32 | T64 | T128 | T256 | T512 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 122880 | 2,918 | 0,364 | 0,182 | 0,091 | 0,046 | 0,023 | 0,0064 | 0,0047 |
| 983040 | 178,132 | 22,240 | 11,120 | 5,659 | 2,779 | 1,388 | 0,698 | 0,345 |
| 1966080 | 708,634 | 88,522 | 44,262 | 23,137 | 11,063 | 5,5308 | 2,554 | 1,385 |
| 3932160 | 2831,905 | 318,146 | 176,702 | 88,353 | 44,175 | 22,079 | 10,240 | 5,517 |
| 7864320 | 11337,77 | 1416,032 | 812,677 | 353,901 | 176,960 | 88,462 | 38,918 | 21,949 |
| 15728640 | 45318,33 | 5660,593 | 2830,199 | 1624,234 | 707,452 | 353,600 | 176,745 | 88,342 |
| 31457280 | 181417,6 | 22653,32 | 11325,1 | 5661,966 | 3249,23 | 1414,826 | 706,802 | 353,248 | | 0 |
| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |
| 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |
| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |
| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 | | | 7864320 | 7,982 | 15,837 | 31,672 | 62,941 | 125,793 | 118,578 | 475,919 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 15728640 | 7,913 | 15,808 | 31,536 | 63,008 | 125,728 | 250,092 | 498,543 |
| 31457280 | 7,930 | 15,883 | 31,582 | 55,060 | 125,540 | 125,300 | 499,833 | | 1 |
| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |
| 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |
| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |
| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 | | | 7864320 | 11337,77 | 1416,032 | 812,677 | 353,901 | 176,960 | 88,462 | 38,918 | 21,949 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 15728640 | 45318,33 | 5660,593 | 2830,199 | 1624,234 | 707,452 | 353,600 | 176,745 | 88,342 |
| 31457280 | 181417,6 | 22653,32 | 11325,1 | 5661,966 | 3249,23 | 1414,826 | 706,802 | 353,248 | | 0 |
| IAMDataset | Acronym | Targetclass | #Target | #Non-target |
| --- | --- | --- | --- | --- |
| AIDS | A | a | 200 | 1600 | | | GREC | G | 1 | 50 | 1033 |
| --- | --- | --- | --- | --- |
| Letter-Low | L-L | A | 150 | 1400 |
| Letter-High | L-H | A | 150 | 1400 |
| Mutagenicity | M | mutagen | 2401 | 1713 |
| Protein | P | 1 | 99 | 332 | | 1 |
| IAMDataset | Acronym | Targetclass | #Target | #Non-target |
| --- | --- | --- | --- | --- |
| AIDS | A | a | 200 | 1600 | | | DataSet | #classes | #instances | #dim. |
| --- | --- | --- | --- |
| Wdbc | 2 | 569 | 31 |
| Ionosphere | 2 | 351 | 34 |
| Spectf | 2 | 267 | 44 |
| Spambase | 2 | 4,601 | 57 |
| Colon | 2 | 62 | 2,000 |
| Prostate | 2 | 102 | 6,033 |
| Leukemia | 2 | 72 | 7,129 |
| Lungcancer | 2 | 181 | 12,533 | | 0 |
| IAMDataset | Acronym | Targetclass | #Target | #Non-target |
| --- | --- | --- | --- | --- |
| AIDS | A | a | 200 | 1600 | | | GREC | G | 1 | 50 | 1033 |
| --- | --- | --- | --- | --- |
| Letter-Low | L-L | A | 150 | 1400 |
| Letter-High | L-H | A | 150 | 1400 |
| Mutagenicity | M | mutagen | 2401 | 1713 |
| Protein | P | 1 | 99 | 332 | | 1 |
| IAMDataset | Acronym | Targetclass | #Target | #Non-target |
| --- | --- | --- | --- | --- |
| AIDS | A | a | 200 | 1600 | | | Spambase | 2 | 4,601 | 57 |
| --- | --- | --- | --- |
| Colon | 2 | 62 | 2,000 |
| Prostate | 2 | 102 | 6,033 |
| Leukemia | 2 | 72 | 7,129 |
| Lungcancer | 2 | 181 | 12,533 | | 0 |
| method | accu. | prec. | recall | f-score |
| --- | --- | --- | --- | --- |
| LSTM | 73.4 | 73.6 | 73.1 | 73.4 | | | LSTMw/attention | 73.8 | 74.4 | 72.5 | 73.4 |
| --- | --- | --- | --- | --- |
| BLSTM | 73.8 | 74.7 | 71.9 | 73.2 |
| BLSTMw/<br>attention | 74.1 | 73.6 | 75.0 | 74.3 | | 1 |
| method | accu. | prec. | recall | f-score |
| --- | --- | --- | --- | --- |
| LSTM | 73.4 | 73.6 | 73.1 | 73.4 | | | Method | Recall | Precision | F-measure |
| --- | --- | --- | --- |
| FCRNall+filts | 0.76 | 0.92 | 0.83 |
| TextBoxes | 0.74 | 0.88 | 0.81 |
| TextBoxes+MS | 0.83 | 0.89 | 0.86 |
| Seglink | 0.83 | 0.88 | 0.85 |
| Tianetal. | 0.83 | 0.93 | 0.88 |
| Tangetal. | 0.87 | 0.92 | 0.90 |
| Heetal. | 0.86 | 0.89 | 0.88 |
| Heetal. | 0.81 | 0.92 | 0.86 |
| WordSup+MS | 0.88 | 0.93 | 0.90 |
| Baseline | 0.74 | 0.88 | 0.81 |
| Baseline+MS | 0.85 | 0.92 | 0.88 |
| RRD | 0.75 | 0.88 | 0.81 |
| RRD+MS | 0.86 | 0.92 | 0.89 | | 0 |
| method | accu. | prec. | recall | f-score |
| --- | --- | --- | --- | --- |
| LSTM | 73.4 | 73.6 | 73.1 | 73.4 | | | LSTMw/attention | 73.8 | 74.4 | 72.5 | 73.4 |
| --- | --- | --- | --- | --- |
| BLSTM | 73.8 | 74.7 | 71.9 | 73.2 |
| BLSTMw/<br>attention | 74.1 | 73.6 | 75.0 | 74.3 | | 1 |
| method | accu. | prec. | recall | f-score |
| --- | --- | --- | --- | --- |
| LSTM | 73.4 | 73.6 | 73.1 | 73.4 | | | Heetal. | 0.86 | 0.89 | 0.88 |
| --- | --- | --- | --- |
| Heetal. | 0.81 | 0.92 | 0.86 |
| WordSup+MS | 0.88 | 0.93 | 0.90 |
| Baseline | 0.74 | 0.88 | 0.81 |
| Baseline+MS | 0.85 | 0.92 | 0.88 |
| RRD | 0.75 | 0.88 | 0.81 |
| RRD+MS | 0.86 | 0.92 | 0.89 | | 0 |
| 1 | 5 |
| --- | --- |
| 4.19 | 3.85 |
| 7.18 | 5.69 | | | 2.91 | 2.72 |
| --- | --- |
| 2.41 | 2.23 |
| 0.67 | 0.38 | | 1 |
| 1 | 5 |
| --- | --- |
| 4.19 | 3.85 |
| 7.18 | 5.69 | | | 2.36 | 2.10 |
| --- | --- |
| 3.02 | 2.93 |
| 3.17 | 2.69 |
| 3.90 | 3.62 |
| 3.86 | 3.81 |
| 1.67 | 1.67 | | 0 |
| 1 | 5 |
| --- | --- |
| 4.19 | 3.85 | | | 7.18 | 5.69 |
| --- | --- |
| 2.91 | 2.72 |
| 2.41 | 2.23 |
| 0.67 | 0.38 | | 1 |
| 1 | 5 |
| --- | --- |
| 4.19 | 3.85 | | | 3.17 | 2.69 |
| --- | --- |
| 3.90 | 3.62 |
| 3.86 | 3.81 |
| 1.67 | 1.67 | | 0 |
| |
| --- |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL | | | SL<br>DRL |
| --- |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL | | 1 |
| |
| --- |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL | | | UL<br>GN |
| --- |
| UL<br>GN |
| UL<br>GN |
| UL<br>GN |
| UL<br>GN | | 0 |
| |
| --- |
| SL<br>DRL | | | SL<br>DRL |
| --- |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL |
| SL<br>DRL | | 1 |
| |
| --- |
| SL<br>DRL | | | UL<br>GN |
| --- |
| UL<br>GN | | 0 |
| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |
| --- | --- |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |
| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 |
| Clustering(AMI) | NISTMARGCLEF-IPIH1IH2IH3 |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 1007.931.873.673.759.5<br>98.88.538.573.671.565.4<br>1008.940.278.466.859.3 |
| FV16+MLP<br>FV256+PCA | 97.79.139.174.654.963.5<br>99.44.844.972.560.347.4 |
| Classification(OA) | NISTMARGCLEF-IPIH1IH2IH3 | | | CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10065.775.094.393.691.3<br>10063.375.894.092.693.6<br>10060.474.194.592.693.8 |
| --- | --- |
| FV16+MLP<br>FV256+PCA | 10053.764.593.184.188.4<br>10064.481.394.186.692.5 | | 1 |
| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |
| --- | --- |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |
| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 |
| Clustering(AMI) | NISTMARGCLEF-IPIH1IH2IH3 |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 1007.931.873.673.759.5<br>98.88.538.573.671.565.4<br>1008.940.278.466.859.3 |
| FV16+MLP<br>FV256+PCA | 97.79.139.174.654.963.5<br>99.44.844.972.560.347.4 |
| Classification(OA) | NISTMARGCLEF-IPIH1IH2IH3 | | | dataset | algorithms | indexsize | | |
| --- | --- | --- | --- | --- |
| tree(hashtable) | graph | all | | |
| SIFT1M | flann(4-tree) | 261.2MB | 0 | 261.2MB |
| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB | |
| GNNS(60-NN) | 0 | 266.7MB | 266.7MB | |
| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB | |
| GIST1 | flann(4-tree) | 261.2MB | 0 | 261.2MB |
| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB | |
| GNNS(60-NN) | 0 | 266.7MB | 266.7MB | |
| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB | |
| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. | | | | | | 0 |
| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |
| --- | --- |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |
| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 | | | Clustering(AMI) | NISTMARGCLEF-IPIH1IH2IH3 |
| --- | --- |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 1007.931.873.673.759.5<br>98.88.538.573.671.565.4<br>1008.940.278.466.859.3 |
| FV16+MLP<br>FV256+PCA | 97.79.139.174.654.963.5<br>99.44.844.972.560.347.4 |
| Classification(OA) | NISTMARGCLEF-IPIH1IH2IH3 |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10065.775.094.393.691.3<br>10063.375.894.092.693.6<br>10060.474.194.592.693.8 |
| FV16+MLP<br>FV256+PCA | 10053.764.593.184.188.4<br>10064.481.394.186.692.5 | | 1 |
| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |
| --- | --- |
| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |
| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 | | | Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |
| --- | --- | --- | --- |
| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |
| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |
| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. | | | | | 0 |
| Add201409UniProtKB | 182minutes |
| --- | --- |
| Updateto201410UniProtKB | 144minutes | | | RetrieveUniProtKB | 36minutes |
| --- | --- |
| RetrievecachedUniProtKB | 12minutes |
| RetrieveincrementalUniProtKB | 5minutes |
| RetrievecachedincrementalUniProtKB | 26seconds | | 1 |
| Add201409UniProtKB | 182minutes |
| --- | --- |
| Updateto201410UniProtKB | 144minutes | | | FullupdatewithoutGeStore | 833minutes |
| --- | --- |
| FullupdatewithGeStore | 965minutes |
| FullupdatewithGeStore,cachedDB | 859minutes |
| 1-monthincrementalupdate | 61minutes |
| 4-monthincrementalupdate | 99minutes | | 0 |
| Add201409UniProtKB | 182minutes |
| --- | --- |
| Updateto201410UniProtKB | 144minutes | | | RetrieveUniProtKB | 36minutes |
| --- | --- |
| RetrievecachedUniProtKB | 12minutes |
| RetrieveincrementalUniProtKB | 5minutes |
| RetrievecachedincrementalUniProtKB | 26seconds | | 1 |
| Add201409UniProtKB | 182minutes |
| --- | --- |
| Updateto201410UniProtKB | 144minutes | | | 1-monthincrementalupdate | 61minutes |
| --- | --- |
| 4-monthincrementalupdate | 99minutes | | 0 |
| AgentsSpeed | | | | |
| --- | --- | --- | --- | --- |
| #Agents | VerySlowSlowSameFast | | | |
| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 | | | 2.63 | 2.52 | 2.44 | 2.55 |
| --- | --- | --- | --- |
| 2.86 | 2.69 | 2.71 | 2.88 | | 1 |
| AgentsSpeed | | | | |
| --- | --- | --- | --- | --- |
| #Agents | VerySlowSlowSameFast | | | |
| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 | | | AgentsSpeed | | | | |
| --- | --- | --- | --- | --- |
| #Agents | VerySlowSlowSameFast | | | |
| Few<br>Same<br>Many | 4.90 | 3.33 | 2.49 | 3.34 |
| 4.59 | 2.91 | 1.45 | 3.48 | |
| 6.19 | 4.33 | 4.95 | 3.89 | | | 0 |
| AgentsSpeed | | | | |
| --- | --- | --- | --- | --- |
| #Agents | VerySlowSlowSameFast | | | |
| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 | | | 2.63 | 2.52 | 2.44 | 2.55 |
| --- | --- | --- | --- |
| 2.86 | 2.69 | 2.71 | 2.88 | | 1 |
| AgentsSpeed | | | | |
| --- | --- | --- | --- | --- |
| #Agents | VerySlowSlowSameFast | | | |
| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 | | | 4.59 | 2.91 | 1.45 | 3.48 |
| --- | --- | --- | --- |
| 6.19 | 4.33 | 4.95 | 3.89 | | 0 |
| Session | \|M\| | Greedy | Generous | Min-Cost |
| --- | --- | --- | --- | --- |
| | | ProfileCost | ProfileCost | ProfileCost |
| 14/15 | 51 | (30,7,1,5,5,3)110 | (16,16,9,6,4)119 | (28,11,3,5,2,2)101 |
| 13/14 | 51 | (26,7,4,6,8)116 | (15,18,9,6,3)117 | (23,12,5,6,5)111 |
| 12/13 | 38 | (26,6,3,2,1)60 | (21,13,4)59 | (23,11,3,1)58 |
| 11/12 | 31 | (22,6,2,1)44 | (20,9,2)44 | (20,9,2)44 |
| 10/11 | 34 | (25,4,3,1,1)51 | (21,9,4)51 | (24,5,4,1)50 | | | 09/10 | 32 | (23,4,2,2,1)50 | (19,10,3)48 | (20,9,2,1)48 |
| --- | --- | --- | --- | --- |
| 08/09 | 37 | (26,6,2,1,2)58 | (23,11,3)54 | (23,11,3)54 |
| 07/08 | 35 | (20,9,5,0,1)58 | (17,14,4)57 | (17,14,4)57 | | 1 |
| Session | \|M\| | Greedy | Generous | Min-Cost |
| --- | --- | --- | --- | --- |
| | | ProfileCost | ProfileCost | ProfileCost |
| 14/15 | 51 | (30,7,1,5,5,3)110 | (16,16,9,6,4)119 | (28,11,3,5,2,2)101 |
| 13/14 | 51 | (26,7,4,6,8)116 | (15,18,9,6,3)117 | (23,12,5,6,5)111 |
| 12/13 | 38 | (26,6,3,2,1)60 | (21,13,4)59 | (23,11,3,1)58 |
| 11/12 | 31 | (22,6,2,1)44 | (20,9,2)44 | (20,9,2)44 |
| 10/11 | 34 | (25,4,3,1,1)51 | (21,9,4)51 | (24,5,4,1)50 | | | Activity | #campaigns | #tasks | totalbudget |
| --- | --- | --- | --- |
| L | 1,303 | 207,811 | $22,757.32 |
| P | 1,293 | 116,682 | $26,796.95 |
| S | 1,229 | 577,444 | $46,802.91 |
| U | 1,210 | 354,180 | $40,344.71 |
| C | 733 | 227,756 | $27,926.15 |
| E | 495 | 318,387 | $23,310.10 |
| I | 361 | 16,934 | $8,375.01 |
| H | 357 | 26,305 | $7,547.54 |
| Z | 352 | 122,974 | $9,681.65 |
| N | 203 | 26,808 | $3,419.92 |
| B | 196 | 40,045 | $4,422.94 |
| W | 147 | 38,756 | $4,307.35 |
| D | 138 | 50,886 | $6,307.99 |
| F | 79 | 12,649 | $1,520.29 |
| V | 68 | 32,832 | $4,026.03 |
| T | 31 | 2,071 | $409.87 |
| R | 29 | 5,191 | $2,037.10 |
| O | 24 | 7,219 | $1,240.66 |
| A | 14 | 519 | $78.90 |
| M | 12 | 847 | $203.45 |
| K | 10 | 474 | $292.02 |
| Q | 3 | 150 | $24.60 |
| Y | 1 | 1,026 | $61.56 | | 0 |
| Session | \|M\| | Greedy | Generous | Min-Cost |
| --- | --- | --- | --- | --- |
| | | ProfileCost | ProfileCost | ProfileCost | | | 14/15 | 51 | (30,7,1,5,5,3)110 | (16,16,9,6,4)119 | (28,11,3,5,2,2)101 |
| --- | --- | --- | --- | --- |
| 13/14 | 51 | (26,7,4,6,8)116 | (15,18,9,6,3)117 | (23,12,5,6,5)111 |
| 12/13 | 38 | (26,6,3,2,1)60 | (21,13,4)59 | (23,11,3,1)58 |
| 11/12 | 31 | (22,6,2,1)44 | (20,9,2)44 | (20,9,2)44 |
| 10/11 | 34 | (25,4,3,1,1)51 | (21,9,4)51 | (24,5,4,1)50 |
| 09/10 | 32 | (23,4,2,2,1)50 | (19,10,3)48 | (20,9,2,1)48 |
| 08/09 | 37 | (26,6,2,1,2)58 | (23,11,3)54 | (23,11,3)54 |
| 07/08 | 35 | (20,9,5,0,1)58 | (17,14,4)57 | (17,14,4)57 | | 1 |
| Session | \|M\| | Greedy | Generous | Min-Cost |
| --- | --- | --- | --- | --- |
| | | ProfileCost | ProfileCost | ProfileCost | | | N | 203 | 26,808 | $3,419.92 |
| --- | --- | --- | --- |
| B | 196 | 40,045 | $4,422.94 |
| W | 147 | 38,756 | $4,307.35 |
| D | 138 | 50,886 | $6,307.99 |
| F | 79 | 12,649 | $1,520.29 |
| V | 68 | 32,832 | $4,026.03 |
| T | 31 | 2,071 | $409.87 |
| R | 29 | 5,191 | $2,037.10 |
| O | 24 | 7,219 | $1,240.66 |
| A | 14 | 519 | $78.90 |
| M | 12 | 847 | $203.45 |
| K | 10 | 474 | $292.02 |
| Q | 3 | 150 | $24.60 |
| Y | 1 | 1,026 | $61.56 | | 0 |
| chaircontrdoorpostrstair |
| --- |
| .143.037.073.143.061 |
| .045.128.165.066.008 | | | .125.318.150.236.122 |
| --- |
| .188.396.194.342.143 |
| .191.364.204.307.125 |
| .192.388.267.318.096 |
| .244.424.281.341.089 |
| .234.314.230.247.168 |
| .329.451.298.390.159 | | 1 |
| chaircontrdoorpostrstair |
| --- |
| .143.037.073.143.061 |
| .045.128.165.066.008 | | | | wall | floor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |
| | desk | shelf | ctn | drssr | pillow | mirror | mat | clthes | ceiling | books | fridge | tv |
| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |
| | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |
| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 | | 0 |
| chaircontrdoorpostrstair |
| --- |
| .143.037.073.143.061 |
| .045.128.165.066.008 | | | .125.318.150.236.122 |
| --- |
| .188.396.194.342.143 |
| .191.364.204.307.125 |
| .192.388.267.318.096 |
| .244.424.281.341.089 |
| .234.314.230.247.168 |
| .329.451.298.390.159 | | 1 |
| chaircontrdoorpostrstair |
| --- |
| .143.037.073.143.061 |
| .045.128.165.066.008 | | | SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |
| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 | | 0 |
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