premise string | hypothesis string | label int64 |
|---|---|---|
| Item | Statistics |
| --- | --- |
| SpatialCoverage | UnitedStates |
| TemporalCoverage | Aug,2010toSep,2012 | | | VocabularySize | 40,173 |
| --- | --- |
| Num.Documents | 5,298,978 | | 1 |
| Item | Statistics |
| --- | --- |
| SpatialCoverage | UnitedStates |
| TemporalCoverage | Aug,2010toSep,2012 | | | Totalvocabularysize | 768,298 |
| --- | --- |
| Mediandocumentlength | 346characters |
| Mediannumberofwords | 54 |
| Mediansentencelength | 51characters |
| MedianNbrofwordsinsentence | 8 | | 0 |
| Item | Statistics |
| --- | --- |
| SpatialCoverage | UnitedStates |
| TemporalCoverage | Aug,2010toSep,2012 | | | VocabularySize | 40,173 |
| --- | --- |
| Num.Documents | 5,298,978 | | 1 |
| Item | Statistics |
| --- | --- |
| SpatialCoverage | UnitedStates |
| TemporalCoverage | Aug,2010toSep,2012 | | | Mediansentencelength | 51characters |
| --- | --- |
| MedianNbrofwordsinsentence | 8 | | 0 |
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |
| --- | --- | --- | --- | --- | --- | --- |
| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |
| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |
| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 | | | (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |
| --- | --- | --- | --- | --- | --- | --- |
| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |
| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |
| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |
| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |
| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |
| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |
| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |
| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 | | 1 |
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |
| --- | --- | --- | --- | --- | --- | --- |
| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |
| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |
| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 | | | Dataset | c | DPBook | EM | SVT | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1:1 | 1:3 | 1:k | 1:k | 1:1 | | | | |
| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |
| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 | |
| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 | |
| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 | |
| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 | |
| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 | |
| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |
| --- | --- | --- | --- | --- | --- | --- |
| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |
| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 | | | (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |
| --- | --- | --- | --- | --- | --- | --- |
| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |
| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |
| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |
| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |
| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |
| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |
| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |
| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |
| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 | | 1 |
| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |
| --- | --- | --- | --- | --- | --- | --- |
| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |
| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 | | | Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 | |
| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 | |
| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 | |
| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 | |
| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 | |
| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |
| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 | |
| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 | |
| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 | |
| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 | |
| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 | | | 0 |
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |
| --- | --- | --- | --- | --- | --- | --- |
| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |
| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | |
| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | |
| fingerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 | |
| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 | |
| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 | |
| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 | |
| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 | |
| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |
| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 | | | | couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 | |
| --- | --- | --- | --- | --- | --- | --- |
| fingerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 | |
| hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 | |
| Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 | |
| man | 27.897 | 27.337 | 27.535 | 26.089 | 27.471 | |
| peppers | 29.986 | 29.239 | 29.202 | 26.992 | 29.356 | |
| σ=50 | airplane | 26.193 | 25.407 | 25.408 | 24.811 | 25.471 |
| boat | 25.537 | 24.789 | 24.871 | 24.472 | 24.825 | |
| couple | 25.268 | 24.571 | 24.644 | 24.284 | 24.595 | |
| fingerprint | 22.662 | 22.383 | 22.361 | 21.871 | 22.442 | |
| hill | 26.349 | 25.572 | 25.615 | 25.432 | 25.587 | |
| Lena | 27.476 | 26.622 | 26.519 | 26.243 | 26.699 | |
| man | 25.710 | 25.075 | 25.098 | 24.782 | 25.128 | |
| peppers | 27.235 | 26.411 | 26.236 | 26.052 | 26.518 | |
| σ=70 | airplane | 24.550 | 23.684 | 23.481 | 23.068 | 23.967 |
| boat | 24.144 | 23.228 | 23.120 | 22.945 | 23.406 | |
| couple | 23.907 | 23.079 | 22.945 | 22.844 | 23.279 | |
| fingerprint | 21.411 | 20.858 | 20.686 | 20.245 | 21.050 | |
| hill | 25.023 | 24.054 | 23.898 | 24.056 | 24.315 | |
| Lena | 26.011 | 24.699 | 24.420 | 24.573 | 25.122 | |
| man | 24.366 | 23.459 | 23.299 | 23.331 | 23.712 | |
| peppers | 25.360 | 24.277 | 23.942 | 24.155 | 24.729 | |
| σ=100 | airplane | 23.086 | 22.015 | 22.193 | 21.723 | 22.318 |
| boat | 22.737 | 21.690 | 21.842 | 21.623 | 21.853 | |
| couple | 22.631 | 21.530 | 21.691 | 21.607 | 21.681 | |
| fingerprint | 20.079 | 19.253 | 19.384 | 18.991 | 19.417 | |
| hill | 23.597 | 22.406 | 22.605 | 22.583 | 22.609 | |
| Lena | 24.531 | 22.660 | 22.881 | 22.749 | 23.051 | |
| man | 23.016 | 21.832 | 22.017 | 21.981 | 22.067 | |
| peppers | 23.648 | 22.258 | 22.447 | 22.364 | 22.708 | | | 1 |
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |
| --- | --- | --- | --- | --- | --- | --- |
| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |
| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | |
| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | |
| fingerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 | |
| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 | |
| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 | |
| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 | |
| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 | |
| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |
| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 | | | | | BMCNN | woBMCNN | DnCNN |
| --- | --- | --- | --- |
| Cameraman | 30.20 | 30.08 | 30.11 |
| Lena | 32.53 | 32.45 | 32.48 |
| Barbara | 30.58 | 29.91 | 29.94 |
| Boat | 30.25 | 30.17 | 30.21 |
| Couple | 30.12 | 30.09 | 30.10 |
| Fingerprint | 28.01 | 27.61 | 27.64 |
| Hill | 30.00 | 29.96 | 29.99 |
| House | 33.32 | 33.20 | 33.23 |
| Jetplane | 32.17 | 32.02 | 32.06 |
| Man | 30.06 | 30.04 | 30.06 |
| Montage | 33.47 | 33.02 | 32.97 |
| Peppers | 30.93 | 30.81 | 30.80 |
| Average | 30.97 | 30.78 | 30.80 | | 0 |
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |
| --- | --- | --- | --- | --- | --- | --- |
| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |
| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | |
| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | |
| fingerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 | |
| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 | |
| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 | |
| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 | |
| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 | |
| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |
| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 | |
| couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 | |
| fingerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 | |
| hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 | |
| Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 | |
| man | 27.897 | 27.337 | 27.535 | 26.089 | 27.471 | |
| peppers | 29.986 | 29.239 | 29.202 | 26.992 | 29.356 | |
| σ=50 | airplane | 26.193 | 25.407 | 25.408 | 24.811 | 25.471 |
| boat | 25.537 | 24.789 | 24.871 | 24.472 | 24.825 | |
| couple | 25.268 | 24.571 | 24.644 | 24.284 | 24.595 | |
| fingerprint | 22.662 | 22.383 | 22.361 | 21.871 | 22.442 | |
| hill | 26.349 | 25.572 | 25.615 | 25.432 | 25.587 | |
| Lena | 27.476 | 26.622 | 26.519 | 26.243 | 26.699 | |
| man | 25.710 | 25.075 | 25.098 | 24.782 | 25.128 | |
| peppers | 27.235 | 26.411 | 26.236 | 26.052 | 26.518 | |
| σ=70 | airplane | 24.550 | 23.684 | 23.481 | 23.068 | 23.967 |
| boat | 24.144 | 23.228 | 23.120 | 22.945 | 23.406 | |
| couple | 23.907 | 23.079 | 22.945 | 22.844 | 23.279 | |
| fingerprint | 21.411 | 20.858 | 20.686 | 20.245 | 21.050 | |
| hill | 25.023 | 24.054 | 23.898 | 24.056 | 24.315 | |
| Lena | 26.011 | 24.699 | 24.420 | 24.573 | 25.122 | |
| man | 24.366 | 23.459 | 23.299 | 23.331 | 23.712 | |
| peppers | 25.360 | 24.277 | 23.942 | 24.155 | 24.729 | |
| σ=100 | airplane | 23.086 | 22.015 | 22.193 | 21.723 | 22.318 | | | boat | 22.737 | 21.690 | 21.842 | 21.623 | 21.853 |
| --- | --- | --- | --- | --- | --- |
| couple | 22.631 | 21.530 | 21.691 | 21.607 | 21.681 |
| fingerprint | 20.079 | 19.253 | 19.384 | 18.991 | 19.417 |
| hill | 23.597 | 22.406 | 22.605 | 22.583 | 22.609 |
| Lena | 24.531 | 22.660 | 22.881 | 22.749 | 23.051 |
| man | 23.016 | 21.832 | 22.017 | 21.981 | 22.067 |
| peppers | 23.648 | 22.258 | 22.447 | 22.364 | 22.708 | | 1 |
| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |
| --- | --- | --- | --- | --- | --- | --- |
| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |
| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 | |
| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 | |
| fingerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 | |
| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 | |
| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 | |
| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 | |
| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 | |
| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |
| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 | |
| couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 | |
| fingerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 | |
| hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 | |
| Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 | |
| man | 27.897 | 27.337 | 27.535 | 26.089 | 27.471 | |
| peppers | 29.986 | 29.239 | 29.202 | 26.992 | 29.356 | |
| σ=50 | airplane | 26.193 | 25.407 | 25.408 | 24.811 | 25.471 |
| boat | 25.537 | 24.789 | 24.871 | 24.472 | 24.825 | |
| couple | 25.268 | 24.571 | 24.644 | 24.284 | 24.595 | |
| fingerprint | 22.662 | 22.383 | 22.361 | 21.871 | 22.442 | |
| hill | 26.349 | 25.572 | 25.615 | 25.432 | 25.587 | |
| Lena | 27.476 | 26.622 | 26.519 | 26.243 | 26.699 | |
| man | 25.710 | 25.075 | 25.098 | 24.782 | 25.128 | |
| peppers | 27.235 | 26.411 | 26.236 | 26.052 | 26.518 | |
| σ=70 | airplane | 24.550 | 23.684 | 23.481 | 23.068 | 23.967 |
| boat | 24.144 | 23.228 | 23.120 | 22.945 | 23.406 | |
| couple | 23.907 | 23.079 | 22.945 | 22.844 | 23.279 | |
| fingerprint | 21.411 | 20.858 | 20.686 | 20.245 | 21.050 | |
| hill | 25.023 | 24.054 | 23.898 | 24.056 | 24.315 | |
| Lena | 26.011 | 24.699 | 24.420 | 24.573 | 25.122 | |
| man | 24.366 | 23.459 | 23.299 | 23.331 | 23.712 | |
| peppers | 25.360 | 24.277 | 23.942 | 24.155 | 24.729 | |
| σ=100 | airplane | 23.086 | 22.015 | 22.193 | 21.723 | 22.318 | | | Couple | 30.12 | 30.09 | 30.10 |
| --- | --- | --- | --- |
| Fingerprint | 28.01 | 27.61 | 27.64 |
| Hill | 30.00 | 29.96 | 29.99 |
| House | 33.32 | 33.20 | 33.23 |
| Jetplane | 32.17 | 32.02 | 32.06 |
| Man | 30.06 | 30.04 | 30.06 |
| Montage | 33.47 | 33.02 | 32.97 |
| Peppers | 30.93 | 30.81 | 30.80 |
| Average | 30.97 | 30.78 | 30.80 | | 0 |
| parameter | value | parameter | value | parameter | value |
| --- | --- | --- | --- | --- | --- |
| Ron | 10 | Roff | 1 | vc | 1 |
| α | 60 | C | 10 | k | ∞ | | | Vt | 0 | γ | 60 | q | 10 |
| --- | --- | --- | --- | --- | --- |
| m0 | −400 | m1 | 400 | imin | 10 |
| imax | 20 | ki | 10 | ks | 10 |
| δs | 0 | δi | 0 | | | | 1 |
| parameter | value | parameter | value | parameter | value |
| --- | --- | --- | --- | --- | --- |
| Ron | 10 | Roff | 1 | vc | 1 |
| α | 60 | C | 10 | k | ∞ | | | SSC | LRSC | ENSC | KMP |
| --- | --- | --- | --- |
| α | τα | λλλ123 | kλ |
| 25 | 55 | 0.10.11 | 1000.1 |
| 200 | 100100 | 0.10.11000 | 1000.1 |
| 120 | -- | --- | -- |
| - | -- | --- | -- | | 0 |
| parameter | value | parameter | value | parameter | value |
| --- | --- | --- | --- | --- | --- |
| Ron | 10 | Roff | 1 | vc | 1 | | | α | 60 | C | 10 | k | ∞ |
| --- | --- | --- | --- | --- | --- |
| Vt | 0 | γ | 60 | q | 10 |
| m0 | −400 | m1 | 400 | imin | 10 |
| imax | 20 | ki | 10 | ks | 10 |
| δs | 0 | δi | 0 | | | | 1 |
| parameter | value | parameter | value | parameter | value |
| --- | --- | --- | --- | --- | --- |
| Ron | 10 | Roff | 1 | vc | 1 | | | 200 | 100100 | 0.10.11000 | 1000.1 |
| --- | --- | --- | --- |
| 120 | -- | --- | -- |
| - | -- | --- | -- | | 0 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | tableshowresult | tableexpressresult |
| 2 | tableshowresult | tablepictureresult |
| 3 | mapshowlocation | mappicturelocation |
| 4 | mapshowlocation | mapexpresslocation | | | 5 | childshowinterest | childpictureinterest |
| --- | --- | --- |
| 6 | childshowinterest | childexpressinterest | | 1 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | tableshowresult | tableexpressresult |
| 2 | tableshowresult | tablepictureresult |
| 3 | mapshowlocation | mappicturelocation |
| 4 | mapshowlocation | mapexpresslocation | | | | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |
| 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion |
| 3 | thechildmetthehouse | thechildvisitedthehouse |
| 4 | thechildmetthehouse | thechildsatisfiedthehouse |
| 5 | thechildshowedinterest | thechildpicturedinterest |
| 6 | thechildshowedinterest | thechildexpressedinterest |
| 7 | themapshowedthelocation | themappicturedthelocation |
| 8 | themapshowedthelocation | themapexpressedthelocation | | 0 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | tableshowresult | tableexpressresult | | | 2 | tableshowresult | tablepictureresult |
| --- | --- | --- |
| 3 | mapshowlocation | mappicturelocation |
| 4 | mapshowlocation | mapexpresslocation |
| 5 | childshowinterest | childpictureinterest |
| 6 | childshowinterest | childexpressinterest | | 1 |
| | Sentence1 | Sentence2 |
| --- | --- | --- |
| 1 | tableshowresult | tableexpressresult | | | 2 | thesystemmetthecriterion | thesystemsatisfiedthecriterion |
| --- | --- | --- |
| 3 | thechildmetthehouse | thechildvisitedthehouse |
| 4 | thechildmetthehouse | thechildsatisfiedthehouse |
| 5 | thechildshowedinterest | thechildpicturedinterest |
| 6 | thechildshowedinterest | thechildexpressedinterest |
| 7 | themapshowedthelocation | themappicturedthelocation |
| 8 | themapshowedthelocation | themapexpressedthelocation | | 0 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |
| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |
| Liuetal. | 0.73 | 0.68 | 0.71 | | | Tianetal. | 0.74 | 0.52 | 0.61 |
| --- | --- | --- | --- |
| Zhangetal. | 0.71 | 0.43 | 0.54 |
| StradVision2 | 0.77 | 0.37 | 0.50 |
| StradVision1 | 0.53 | 0.46 | 0.50 |
| NJU-Text | 0.70 | 0.36 | 0.47 |
| AJOU | 0.47 | 0.47 | 0.47 |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 | | 1 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |
| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |
| Liuetal. | 0.73 | 0.68 | 0.71 | | | Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed | 0.71 | 0.43 | 0.54 |
| StradVision-2 | 0.77 | 0.37 | 0.50 |
| StradVision-1 | 0.53 | 0.46 | 0.50 |
| NJUText | 0.70 | 0.36 | 0.47 |
| AJOU | 0.47 | 0.47 | 0.47 |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 |
| Deep2Text-MO | 0.50 | 0.32 | 0.39 |
| CNNProposal | 0.35 | 0.34 | 0.35 |
| TextCatcher-2 | 0.25 | 0.34 | 0.29 | | 0 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 | | | Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |
| --- | --- | --- | --- |
| Liuetal. | 0.73 | 0.68 | 0.71 |
| Tianetal. | 0.74 | 0.52 | 0.61 |
| Zhangetal. | 0.71 | 0.43 | 0.54 |
| StradVision2 | 0.77 | 0.37 | 0.50 |
| StradVision1 | 0.53 | 0.46 | 0.50 |
| NJU-Text | 0.70 | 0.36 | 0.47 |
| AJOU | 0.47 | 0.47 | 0.47 |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 | | 1 |
| Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 | | | AJOU | 0.47 | 0.47 | 0.47 |
| --- | --- | --- | --- |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 |
| Deep2Text-MO | 0.50 | 0.32 | 0.39 |
| CNNProposal | 0.35 | 0.34 | 0.35 |
| TextCatcher-2 | 0.25 | 0.34 | 0.29 | | 0 |
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |
| --- | --- | --- | --- | --- | --- | --- |
| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |
| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |
| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |
| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |
| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |
| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |
| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |
| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |
| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |
| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |
| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |
| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 | | | Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |
| --- | --- | --- | --- | --- | --- | --- |
| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |
| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |
| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |
| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |
| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |
| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 | | 1 |
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |
| --- | --- | --- | --- | --- | --- | --- |
| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |
| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |
| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |
| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |
| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |
| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |
| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |
| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |
| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |
| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |
| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |
| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 | | | Cube,n=100,000 | | | | |
| --- | --- | --- | --- | --- |
| Input | d=6 | d=9 | d=12 | d=15 |
| Exact | 73.24 | 235.57 | 1520 | 27520 |
| Approx | 64.63 | 162.47 | 3210 | 16990 |
| Har-Peled | 207.52 | 24020 | 119890 | 138240 |
| Hybrid1 | 87.23 | 180.31 | 17960 | 15450 |
| Hybrid2 | 87.59 | 171.43 | 11800 | 12230 |
| Algorithm?? | 5.3 | 7.2 | 8.5 | 10.9 |
| Algorithm??-5 | 7.33 | 9.62 | 12.14 | 14.55 |
| Algorithm??-3 | 4.41 | 5.77 | 7.34 | 8.99 |
| Algorithm??-2 | 2.99 | 3.89 | 4.85 | 5.9 |
| Ball,n=100,000 | | | | |
| Input | d=6 | d=9 | d=12 | d=15 |
| Exact | 68770 | 111590 | 178430 | 264660 |
| Approx | 18550 | 48600 | 105200 | 168390 |
| Har-Peled | 86680 | 102800 | 120200 | 137530 |
| Hybrid1 | 93940 | 136260 | 73620 | 222960 |
| Hybrid2 | 71350 | 100030 | 146520 | 218510 |
| Algorithm?? | 5.5 | 6.42 | 8.12 | 9.46 |
| Algorithm??-5 | 7.25 | 9.58 | 11.98 | 14.35 |
| Algorithm??-3 | 4.38 | 5.87 | 7.29 | 8.64 |
| Algorithm??-2 | 2.89 | 3.89 | 4.82 | 5.79 |
| Ellipse,n=100,000 | | | | |
| Input | d=6 | d=9 | d=12 | d=15 |
| Exact | 58 | 1110 | 770 | 2760 |
| Approx | 31.9 | 504 | 589 | 1300 |
| Har-Peled | 3040 | 109760 | 127280 | 134070 |
| Hybrid1 | 90 | 2280 | 3240 | 5580 |
| Hybrid2 | 98 | 2020 | 3900 | 5200 |
| Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 |
| Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 |
| Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6 |
| Algorithm??-2 | 2.988 | 4.2 | 4.9 | 5.8 |
| RegularEllipse,n=100,000 | | | | |
| Input | d=6 | d=9 | d=12 | d=15 |
| Exact | 24 | 350 | 150 | 2280 |
| Approx | 31.7 | 285 | 110.5 | 1440 |
| Har-Peled | 530 | 62010 | 123720 | 133850 |
| Hybrid1 | 71 | 308 | 3430 | 4070 |
| Hybrid2 | 72.9 | 268 | 4590 | 119.5 |
| Algorithm?? | 5.06 | 6.84 | 8.22 | 10.7 |
| Algorithm??-5 | 7.3 | 11.2 | 12.2 | 17.8 |
| Algorithm??-3 | 4.39 | 5.95 | 7.3 | 8.65 |
| Algorithm??-2 | 2.952 | 4.05 | 4.8 | 5.8 | | 0 |
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |
| --- | --- | --- | --- | --- | --- | --- |
| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |
| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |
| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |
| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |
| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |
| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |
| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |
| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |
| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |
| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 | | | Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |
| --- | --- | --- | --- | --- | --- | --- |
| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |
| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |
| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |
| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |
| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |
| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |
| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |
| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 | | 1 |
| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |
| --- | --- | --- | --- | --- | --- | --- |
| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |
| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |
| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |
| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |
| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |
| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |
| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |
| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |
| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |
| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 | | | Approx | 31.9 | 504 | 589 | 1300 |
| --- | --- | --- | --- | --- |
| Har-Peled | 3040 | 109760 | 127280 | 134070 |
| Hybrid1 | 90 | 2280 | 3240 | 5580 |
| Hybrid2 | 98 | 2020 | 3900 | 5200 |
| Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 |
| Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 |
| Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6 |
| Algorithm??-2 | 2.988 | 4.2 | 4.9 | 5.8 |
| RegularEllipse,n=100,000 | | | | |
| Input | d=6 | d=9 | d=12 | d=15 |
| Exact | 24 | 350 | 150 | 2280 |
| Approx | 31.7 | 285 | 110.5 | 1440 |
| Har-Peled | 530 | 62010 | 123720 | 133850 |
| Hybrid1 | 71 | 308 | 3430 | 4070 |
| Hybrid2 | 72.9 | 268 | 4590 | 119.5 |
| Algorithm?? | 5.06 | 6.84 | 8.22 | 10.7 |
| Algorithm??-5 | 7.3 | 11.2 | 12.2 | 17.8 |
| Algorithm??-3 | 4.39 | 5.95 | 7.3 | 8.65 |
| Algorithm??-2 | 2.952 | 4.05 | 4.8 | 5.8 | | 0 |
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 | | | DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |
| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |
| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 | | 1 |
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 | | | Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite |
| --- | --- | --- | --- |
| 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA |
| 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 |
| 1152 | 225 | 52 | TLSRSAWITH3DESEDECBCSHA |
| 275 | 128 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 564 | 118 | 16 | TLSRSAWITHRC4128SHA |
| 1,200 | 323 | 4 | TLSRSAWITH3DESEDECBCSHA |
| 218 | 90 | 0 | TLSECDHERSAWITHAES128GCMSHA256 |
| 2,618 | 700 | 22 | TLSECDHERSAWITHAES256CBCSHA |
| 205 | 26 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA |
| 891 | 37 | 155 | TLSRSAWITHRC4128MD5 |
| 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 |
| 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 337 | 51 | 0 | TLSRSAWITHRC4128SHA |
| 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 |
| 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA | | 0 |
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |
| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 | | | DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |
| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 | | 1 |
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |
| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 | | | 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA |
| --- | --- | --- | --- |
| 891 | 37 | 155 | TLSRSAWITHRC4128MD5 |
| 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 |
| 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 337 | 51 | 0 | TLSRSAWITHRC4128SHA |
| 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 |
| 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA | | 0 |
| n | xandx12 | xthroughx3n | xn+1 |
| --- | --- | --- | --- |
| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |
| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 | | | 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |
| --- | --- | --- | --- |
| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |
| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |
| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 |
| 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 |
| 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 | | 1 |
| n | xandx12 | xthroughx3n | xn+1 |
| --- | --- | --- | --- |
| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |
| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 | | | i | xandx12 | xthroughx3i |
| --- | --- | --- |
| 3 | 2.127480103088468 | 2.715029663803688 |
| 4 | 3.2023557495551507 | 4.175556640172782 |
| 5 | 4.270167577054796 | 5.608618419590356 |
| 6 | 5.335126162486634 | 7.033301794415261 |
| 7 | 6.3986555212789265 | 8.454218195486414 |
| 8 | 7.461367172755974 | 9.873101560726544 |
| 9 | 8.52356722480373 | 11.290758818589284 |
| 10 | 9.585425903496056 | 12.707618366991161 | | 0 |
| n | xandx12 | xthroughx3n | xn+1 |
| --- | --- | --- | --- |
| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |
| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |
| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |
| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |
| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |
| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 | | | 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 |
| --- | --- | --- | --- |
| 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 | | 1 |
| n | xandx12 | xthroughx3n | xn+1 |
| --- | --- | --- | --- |
| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |
| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |
| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |
| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |
| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |
| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 | | | 6 | 5.335126162486634 | 7.033301794415261 |
| --- | --- | --- |
| 7 | 6.3986555212789265 | 8.454218195486414 |
| 8 | 7.461367172755974 | 9.873101560726544 |
| 9 | 8.52356722480373 | 11.290758818589284 |
| 10 | 9.585425903496056 | 12.707618366991161 | | 0 |
| Dataset | ExclusivelyDark | MicrosoftCOCO |
| --- | --- | --- |
| Class | NumberofImage | Numberofimage | | | Bicycle | 652 | 603 |
| --- | --- | --- |
| Boat | 679 | 650 |
| Bottle | 547 | 650 |
| Bus | 527 | 564 |
| Car | 638 | 650 |
| Cat | 735 | 650 |
| Chair | 648 | 651 |
| Cup | 519 | 650 |
| Dog | 801 | 650 |
| Motorbike | 503 | 644 |
| People | 609 | 650 |
| Table | 505 | 650 |
| Total | 7,363 | 7,662 | | 1 |
| Dataset | ExclusivelyDark | MicrosoftCOCO |
| --- | --- | --- |
| Class | NumberofImage | Numberofimage | | | Dataset | Size | Dim. | No.Classes |
| --- | --- | --- | --- |
| Balance | 625 | 4 | 3 |
| BUPALiverDisorders | 345 | 6 | 2 |
| Diabetes | 768 | 8 | 2 |
| Sonar | 208 | 60 | 2 |
| Wine | 178 | 13 | 3 |
| Cho’sgene | 307 | 100 | 5 | | 0 |
| Dataset | ExclusivelyDark | MicrosoftCOCO |
| --- | --- | --- |
| Class | NumberofImage | Numberofimage |
| Bicycle | 652 | 603 |
| Boat | 679 | 650 |
| Bottle | 547 | 650 |
| Bus | 527 | 564 |
| Car | 638 | 650 |
| Cat | 735 | 650 |
| Chair | 648 | 651 |
| Cup | 519 | 650 |
| Dog | 801 | 650 |
| Motorbike | 503 | 644 |
| People | 609 | 650 | | | Table | 505 | 650 |
| --- | --- | --- |
| Total | 7,363 | 7,662 | | 1 |
| Dataset | ExclusivelyDark | MicrosoftCOCO |
| --- | --- | --- |
| Class | NumberofImage | Numberofimage |
| Bicycle | 652 | 603 |
| Boat | 679 | 650 |
| Bottle | 547 | 650 |
| Bus | 527 | 564 |
| Car | 638 | 650 |
| Cat | 735 | 650 |
| Chair | 648 | 651 |
| Cup | 519 | 650 |
| Dog | 801 | 650 |
| Motorbike | 503 | 644 |
| People | 609 | 650 | | | BUPALiverDisorders | 345 | 6 | 2 |
| --- | --- | --- | --- |
| Diabetes | 768 | 8 | 2 |
| Sonar | 208 | 60 | 2 |
| Wine | 178 | 13 | 3 |
| Cho’sgene | 307 | 100 | 5 | | 0 |
| Description | Count |
| --- | --- |
| Requests | 252036 |
| Responses | 251802 | | | URLsaccessed | 503838 |
| --- | --- |
| DistinctURLs | 201628 |
| Distincthosts | 9580 |
| Distincthosts(combined) | 8601 | | 1 |
| Description | Count |
| --- | --- |
| Requests | 252036 |
| Responses | 251802 | | | | Counts |
| --- | --- |
| UniqueURLsCrawled | 1,113,653 |
| UniqueDomainsCrawled | 329,575 |
| UniqueFilteredURLs | 115,337 |
| UniquePoisoneddomains | 1355 |
| FilteredURLs/1000URLscrawled | 103.57 |
| Poisoneddomains/1000domainscrawled | 4.11 | | 0 |
| Description | Count |
| --- | --- |
| Requests | 252036 |
| Responses | 251802 | | | URLsaccessed | 503838 |
| --- | --- |
| DistinctURLs | 201628 |
| Distincthosts | 9580 |
| Distincthosts(combined) | 8601 | | 1 |
| Description | Count |
| --- | --- |
| Requests | 252036 |
| Responses | 251802 | | | UniqueFilteredURLs | 115,337 |
| --- | --- |
| UniquePoisoneddomains | 1355 |
| FilteredURLs/1000URLscrawled | 103.57 |
| Poisoneddomains/1000domainscrawled | 4.11 | | 0 |
| dim | Market-1501 | CUHK03 |
| --- | --- | --- |
| 151020mAP | 151020 | | | | 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 |
| --- | --- | --- |
| 4,096<br>751<br>2,048<br>751 | 52.2271.5378.9585.0428.95<br>51.1072.2479.4885.6029.91<br>64.4979.4885.0788.9538.16<br>62.2078.3683.7688.8437.91 | 39.9071.4082.3090.00<br>42.3075.0584.3592.00<br>36.9068.4078.7086.70<br>41.7072.7084.2092.50 |
| 8,206<br>751<br>4,108<br>751 | 64.6182.0787.8391.7538.95<br>65.6882.5187.8991.6341.12<br>78.6590.2693.5995.6953.87<br>75.1288.2792.2894.7751.57 | 59.8085.3591.8595.85<br>62.4088.0093.7096.50<br>57.1084.6091.4096.20<br>61.5089.3094.5097.60 | | 1 |
| dim | Market-1501 | CUHK03 |
| --- | --- | --- |
| 151020mAP | 151020 | | | | H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |
| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |
| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| dim | Market-1501 | CUHK03 |
| --- | --- | --- |
| 151020mAP | 151020 | |
| 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 | | | 4,096<br>751<br>2,048<br>751 | 52.2271.5378.9585.0428.95<br>51.1072.2479.4885.6029.91<br>64.4979.4885.0788.9538.16<br>62.2078.3683.7688.8437.91 | 39.9071.4082.3090.00<br>42.3075.0584.3592.00<br>36.9068.4078.7086.70<br>41.7072.7084.2092.50 |
| --- | --- | --- |
| 8,206<br>751<br>4,108<br>751 | 64.6182.0787.8391.7538.95<br>65.6882.5187.8991.6341.12<br>78.6590.2693.5995.6953.87<br>75.1288.2792.2894.7751.57 | 59.8085.3591.8595.85<br>62.4088.0093.7096.50<br>57.1084.6091.4096.20<br>61.5089.3094.5097.60 | | 1 |
| dim | Market-1501 | CUHK03 |
| --- | --- | --- |
| 151020mAP | 151020 | |
| 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 | | | 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| Datasets | #images#queries#descriptorsEvaluation |
| --- | --- |
| Holidays | 14915004,455,091mAP | | | Oxford | 50635512,534,635mAP |
| --- | --- |
| Ukbench | 102001020019,415,079N-Sscore |
| MirFlickr1M | 1,000,000-502,115,988- | | 1 |
| Datasets | #images#queries#descriptorsEvaluation |
| --- | --- |
| Holidays | 14915004,455,091mAP | | | Dataset | #Images | #Subjects |
| --- | --- | --- |
| AWE | 1000 | 100 |
| AMI | 700 | 100 |
| WPUT | 2071 | 501 |
| IITD | 493 | 125 |
| CP | 102 | 17 |
| UERCTrain | 2304 | 166 |
| Multi-PIEEar | 17183 | 205 | | 0 |
| Datasets | #images#queries#descriptorsEvaluation |
| --- | --- |
| Holidays | 14915004,455,091mAP | | | Oxford | 50635512,534,635mAP |
| --- | --- |
| Ukbench | 102001020019,415,079N-Sscore |
| MirFlickr1M | 1,000,000-502,115,988- | | 1 |
| Datasets | #images#queries#descriptorsEvaluation |
| --- | --- |
| Holidays | 14915004,455,091mAP | | | AMI | 700 | 100 |
| --- | --- | --- |
| WPUT | 2071 | 501 |
| IITD | 493 | 125 |
| CP | 102 | 17 |
| UERCTrain | 2304 | 166 |
| Multi-PIEEar | 17183 | 205 | | 0 |
| Activity | Duration(s) | GBread | GBwritten |
| --- | --- | --- | --- |
| reverseComplement | 11.8 | 0.15 | 0.14 |
| words | 55.9 | 0.29 | 7.05 |
| sortWords | 76.6 | 7.05 | 7.05 |
| w2hd | 425.1 | 7.05 | 11.67 |
| combineFrags | 425.8 | 0.32 | 0.16 |
| csvGenerator | 697.8 | 0.006 | 0.004 |
| filterHits | 2402 | 111.36 | 83.09 | | | FragHits | 3793.3 | 94.7 | 0.32 |
| --- | --- | --- | --- |
| sortHits | 4457.3 | 111.36 | 111.36 |
| hits | 60058 | 455.24 | 111.36 | | 1 |
| Activity | Duration(s) | GBread | GBwritten |
| --- | --- | --- | --- |
| reverseComplement | 11.8 | 0.15 | 0.14 |
| words | 55.9 | 0.29 | 7.05 |
| sortWords | 76.6 | 7.05 | 7.05 |
| w2hd | 425.1 | 7.05 | 11.67 |
| combineFrags | 425.8 | 0.32 | 0.16 |
| csvGenerator | 697.8 | 0.006 | 0.004 |
| filterHits | 2402 | 111.36 | 83.09 | | | name | \|V\| | \|E\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |
| --- | --- | --- | --- | --- | --- | --- |
| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |
| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |
| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |
| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |
| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |
| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |
| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |
| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |
| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 | | 0 |
| Activity | Duration(s) | GBread | GBwritten |
| --- | --- | --- | --- |
| reverseComplement | 11.8 | 0.15 | 0.14 |
| words | 55.9 | 0.29 | 7.05 | | | sortWords | 76.6 | 7.05 | 7.05 |
| --- | --- | --- | --- |
| w2hd | 425.1 | 7.05 | 11.67 |
| combineFrags | 425.8 | 0.32 | 0.16 |
| csvGenerator | 697.8 | 0.006 | 0.004 |
| filterHits | 2402 | 111.36 | 83.09 |
| FragHits | 3793.3 | 94.7 | 0.32 |
| sortHits | 4457.3 | 111.36 | 111.36 |
| hits | 60058 | 455.24 | 111.36 | | 1 |
| Activity | Duration(s) | GBread | GBwritten |
| --- | --- | --- | --- |
| reverseComplement | 11.8 | 0.15 | 0.14 |
| words | 55.9 | 0.29 | 7.05 | | | ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |
| --- | --- | --- | --- | --- | --- | --- |
| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |
| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |
| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |
| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |
| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |
| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 | | 0 |
| Parameter | Value |
| --- | --- |
| k(BM25parameter) | 2.8 | | | b(LeftBound)1 | 2.9 |
| --- | --- |
| b(RightBound)2 | 3.7 |
| B(Growthparameter)1 | 1 |
| B(Growthparameter)2 | 1 |
| c(Troughcurvature) | 0.5 | | 1 |
| Parameter | Value |
| --- | --- |
| k(BM25parameter) | 2.8 | | | Parameter | RangeofParameter |
| --- | --- |
| InlineRange | [100−750] |
| CrosslineRange | [300−1250] |
| ZRange | [0−1848] |
| Size(km) | [24∗16] | | 0 |
| Parameter | Value |
| --- | --- |
| k(BM25parameter) | 2.8 |
| b(LeftBound)1 | 2.9 |
| b(RightBound)2 | 3.7 |
| B(Growthparameter)1 | 1 | | | B(Growthparameter)2 | 1 |
| --- | --- |
| c(Troughcurvature) | 0.5 | | 1 |
| Parameter | Value |
| --- | --- |
| k(BM25parameter) | 2.8 |
| b(LeftBound)1 | 2.9 |
| b(RightBound)2 | 3.7 |
| B(Growthparameter)1 | 1 | | | ZRange | [0−1848] |
| --- | --- |
| Size(km) | [24∗16] | | 0 |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| --- |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | | MaxPooling3D(poolsize=(2,2),strides=(1,1)) |
| --- |
| 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) |
| 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) |
| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |
| Dense(128,activation=“relu”) |
| Dense(64,activation=“relu”) |
| Dense(1,activation=None) | | 1 |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| --- |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) | | | 2DConvolutional(filters=64,kernelsize=3,activation=”relu”,padding=”same”) |
| --- |
| 2DConvolutional(filters=64,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=64,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(filters=512,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=512,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=512,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| Dense(1024,activation=“relu”) |
| Dropout(0.5) |
| Dense(512,activation=“relu”) |
| Dropout(0.5) |
| Dense(1,activation=None) | | 0 |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| --- |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| MaxPooling3D(poolsize=(2,2),strides=(1,1)) | | | 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) |
| --- |
| 3DConvolutional(filters=32,kernelsize=3,strides=1,activation=”relu”) |
| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |
| Dense(128,activation=“relu”) |
| Dense(64,activation=“relu”) |
| Dense(1,activation=None) | | 1 |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| --- |
| 3DConvolutional(filters=32,kernelsize=5,strides=2,activation=”relu”) |
| MaxPooling3D(poolsize=(2,2),strides=(1,1)) | | | 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) |
| --- |
| 2DConvolutional(filters=128,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=256,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| 2DConvolutional(filters=512,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=512,kernelsize=3,activation=“relu”,padding=“same”) |
| 2DConvolutional(filters=512,kernelsize=3,activation=“relu”,padding=“same”) |
| MaxPooling(poolsize=(2,2),strides=(2,2)) |
| Dense(1024,activation=“relu”) |
| Dropout(0.5) |
| Dense(512,activation=“relu”) |
| Dropout(0.5) |
| Dense(1,activation=None) | | 0 |
| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |
| --- | --- | --- | --- | --- | --- |
| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 | | | Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |
| --- | --- | --- | --- | --- | --- |
| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |
| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 | | 1 |
| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |
| --- | --- | --- | --- | --- | --- |
| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 | | | PE | skewness | kurtosis |
| --- | --- | --- |
| 0.02 | 0.1502 | 0.0206 |
| 0.04 | 0.1007 | 0.0081 |
| 0.08 | 0.0637 | 0.0021 |
| 0.1 | 0.0537 | 0.0009 |
| 0.2 | 0.0271 | -0.0012 |
| 0.3 | 0.0140 | -0.0017 |
| 0.4 | 0.0056 | -0.0019 |
| 0.5 | -0.0004 | -0.0020 |
| 0.6 | -0.0050 | -0.0021 |
| 0.7 | -0.0086 | -0.0021 |
| 0.8 | -0.0116 | -0.0022 |
| 0.9 | -0.0141 | -0.0022 | | 0 |
| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |
| --- | --- | --- | --- | --- | --- |
| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 | | | Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |
| --- | --- | --- | --- | --- | --- |
| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |
| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 | | 1 |
| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |
| --- | --- | --- | --- | --- | --- |
| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 | | | 0.6 | -0.0050 | -0.0021 |
| --- | --- | --- |
| 0.7 | -0.0086 | -0.0021 |
| 0.8 | -0.0116 | -0.0022 |
| 0.9 | -0.0141 | -0.0022 | | 0 |
| k=250 | k=500 | k=1000 | |
| --- | --- | --- | --- |
| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h | | | us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h |
| --- | --- | --- | --- |
| Cus | 0.12min+11.36h | 0.19min+17.22h | 0.52min+58.46h |
| CSC | 2.34min+9.74h | 3.73min+21.07h | 2.61min+35.47h | | 1 |
| k=250 | k=500 | k=1000 | |
| --- | --- | --- | --- |
| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h | | | K=1000 | C2F | C2F+wt |
| --- | --- | --- |
| 0 | 82.25 | 86.78 |
| 1000 | 80.23 | 83.95 |
| 10,000 | 77.36 | 79.30 |
| 100,000 | 71.64 | 72.73 |
| 500,000 | 68.39 | 69.41 |
| 1,000,000 | 67.26 | 69.15 | | 0 |
| k=250 | k=500 | k=1000 | |
| --- | --- | --- | --- |
| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |
| us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h | | | Cus | 0.12min+11.36h | 0.19min+17.22h | 0.52min+58.46h |
| --- | --- | --- | --- |
| CSC | 2.34min+9.74h | 3.73min+21.07h | 2.61min+35.47h | | 1 |
| k=250 | k=500 | k=1000 | |
| --- | --- | --- | --- |
| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |
| us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h | | | 1000 | 80.23 | 83.95 |
| --- | --- | --- |
| 10,000 | 77.36 | 79.30 |
| 100,000 | 71.64 | 72.73 |
| 500,000 | 68.39 | 69.41 |
| 1,000,000 | 67.26 | 69.15 | | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 | | | 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 | | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 | | | TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |
| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 | | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 | | | 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 | | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 | | | 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 | | 0 |
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |
| --- | --- | --- | --- | --- | --- |
| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |
| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 | | | Premise | 0.009 | 0.168 | 0.679 | 0.019 | 0.123 |
| --- | --- | --- | --- | --- | --- |
| PSIC | 0.009 | 0.126 | 0.209 | 0.453 | 0.200 |
| NA | 0.058 | 0.173 | 0.273 | 0.416 | 0.453 |
| SentencesCorpus | MC | Claim | Premise | PSIC | NA |
| MC | 0.800 | 0.088 | 0.026 | 0.002 | 0.082 |
| Claim | 0.012 | 0.877 | 0.074 | 0.002 | 0.035 |
| Premise | 0.006 | 0.118 | 0.781 | 0.010 | 0.086 |
| PSIC | 0.007 | 0.037 | 0.123 | 0.673 | 0.160 |
| NA | 0.050 | 0.154 | 0.234 | 0.035 | 0.528 | | 1 |
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |
| --- | --- | --- | --- | --- | --- |
| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |
| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 | | | Method | Rating | Setup1 | Setup2 |
| --- | --- | --- | --- |
| Likert | naturalness | 0.07 | 0.12 |
| quality | 0.02 | 0.41* | |
| informativeness | 0.93* | 0.78* | |
| PlainME | naturalness | -0.03 | 0.27* |
| quality | 0.22* | 0.60* | |
| informativeness | 0.59* | 0.79* | |
| RankME | naturalness | 0.11 | 0.42* |
| quality | 0.10 | 0.68* | |
| informativeness | 0.72* | 0.82* | | | 0 |
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |
| --- | --- | --- | --- | --- | --- |
| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |
| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 | | | Premise | 0.009 | 0.168 | 0.679 | 0.019 | 0.123 |
| --- | --- | --- | --- | --- | --- |
| PSIC | 0.009 | 0.126 | 0.209 | 0.453 | 0.200 |
| NA | 0.058 | 0.173 | 0.273 | 0.416 | 0.453 |
| SentencesCorpus | MC | Claim | Premise | PSIC | NA |
| MC | 0.800 | 0.088 | 0.026 | 0.002 | 0.082 |
| Claim | 0.012 | 0.877 | 0.074 | 0.002 | 0.035 |
| Premise | 0.006 | 0.118 | 0.781 | 0.010 | 0.086 |
| PSIC | 0.007 | 0.037 | 0.123 | 0.673 | 0.160 |
| NA | 0.050 | 0.154 | 0.234 | 0.035 | 0.528 | | 1 |
| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |
| --- | --- | --- | --- | --- | --- |
| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |
| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 | | | informativeness | 0.59* | 0.79* | |
| --- | --- | --- | --- |
| RankME | naturalness | 0.11 | 0.42* |
| quality | 0.10 | 0.68* | |
| informativeness | 0.72* | 0.82* | | | 0 |
| IU | Goals | TaskStates | Abilities | Behaviours |
| --- | --- | --- | --- | --- |
| 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap | | | 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface |
| --- | --- | --- | --- | --- |
| 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup |
| 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush | | 1 |
| IU | Goals | TaskStates | Abilities | Behaviours |
| --- | --- | --- | --- | --- |
| 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap | | | IU | Goals | TaskStates | Abilities | Behaviours |
| --- | --- | --- | --- | --- |
| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |
| 2 | HandsClean,HandsWashed | tapoff | Rn:tapoff | Turnontap |
| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |
| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |
| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnofftap |
| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoff | Af:handswashed | Taskcomplete | | 0 |
| IU | Goals | TaskStates | Abilities | Behaviours |
| --- | --- | --- | --- | --- |
| 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap | | | 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface |
| --- | --- | --- | --- | --- |
| 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup |
| 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush | | 1 |
| IU | Goals | TaskStates | Abilities | Behaviours |
| --- | --- | --- | --- | --- |
| 1 | Final,wetbrush | teethdirty,tapoff | Af:tap | Turnontap | | | 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |
| --- | --- | --- | --- | --- |
| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |
| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnofftap |
| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoff | Af:handswashed | Taskcomplete | | 0 |
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.005 | 0.01 |
| 2 | noonstring | 0.01 | 0.005 |
| 3 | roostervoyage | 0.01 | 0.0125 |
| 4 | fruitfurnace | 0.0125 | 0.0475 |
| 5 | autographshore | 0.015 | 0.005 |
| 6 | automobilewizard | 0.0275 | 0.02 |
| 7 | moundstove | 0.035 | 0.005 |
| 8 | grinimplement | 0.045 | 0.005 |
| 9 | asylumfruit | 0.0475 | 0.005 |
| 10 | asylummonk | 0.0975 | 0.0375 |
| 11 | graveyardmadhouse | 0.105 | 0.0225 |
| 12 | boyrooster | 0.11 | 0.0075 |
| 13 | glassmagician | 0.11 | 0.1075 |
| 14 | cushionjewel | 0.1125 | 0.0525 |
| 15 | monkslave | 0.1425 | 0.045 |
| 16 | asylumcemetery | 0.1975 | 0.0375 |
| 17 | coastforest | 0.2125 | 0.0475 |
| 18 | grinlad | 0.22 | 0.0125 |
| 19 | shorewoodland | 0.225 | 0.0825 |
| 20 | monkoracle | 0.2275 | 0.1125 |
| 21 | boysage | 0.24 | 0.0425 |
| 22 | automobilecushion | 0.2425 | 0.02 |
| 23 | moundshore | 0.2425 | 0.035 |
| 24 | ladwizard | 0.2475 | 0.0325 |
| 25 | forestgraveyard | 0.25 | 0.065 |
| 26 | foodrooster | 0.2725 | 0.055 |
| 27 | cemeterywoodland | 0.295 | 0.0375 |
| 28 | shorevoyage | 0.305 | 0.02 |
| 29 | birdwoodland | 0.31 | 0.0125 |
| 30 | coasthill | 0.315 | 0.1 |
| 31 | furnaceimplement | 0.3425 | 0.05 |
| 32 | cranerooster | 0.3525 | 0.02 |
| 33 | hillwoodland | 0.37 | 0.145 |
| 34 | carjourney | 0.3875 | 0.0725 |
| 35 | cemeterymound | 0.4225 | 0.0575 |
| 36 | glassjewel | 0.445 | 0.1075 |
| 37 | magicianoracle | 0.455 | 0.13 |
| 38 | craneimplement | 0.5925 | 0.185 |
| 39 | brotherlad | 0.6025 | 0.1275 |
| 40 | sagewizard | 0.615 | 0.1525 |
| 41 | oraclesage | 0.6525 | 0.2825 |
| 42 | birdcock | 0.6575 | 0.035 |
| 43 | birdcrane | 0.67 | 0.1625 | | | 44 | foodfruit | 0.6725 | 0.2425 |
| --- | --- | --- | --- |
| 45 | brothermonk | 0.685 | 0.045 |
| 46 | asylummadhouse | 0.76 | 0.215 |
| 47 | furnacestove | 0.7775 | 0.3475 |
| 48 | magicianwizard | 0.8025 | 0.355 |
| 49 | hillmound | 0.8225 | 0.2925 |
| 50 | cordstring | 0.8525 | 0.47 |
| 51 | glasstumbler | 0.8625 | 0.1375 |
| 52 | grinsmile | 0.865 | 0.485 |
| 53 | serfslave | 0.865 | 0.4825 |
| 54 | journeyvoyage | 0.895 | 0.36 |
| 55 | autographsignature | 0.8975 | 0.405 |
| 56 | coastshore | 0.9 | 0.5875 | | 1 |
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.005 | 0.01 |
| 2 | noonstring | 0.01 | 0.005 |
| 3 | roostervoyage | 0.01 | 0.0125 |
| 4 | fruitfurnace | 0.0125 | 0.0475 |
| 5 | autographshore | 0.015 | 0.005 |
| 6 | automobilewizard | 0.0275 | 0.02 |
| 7 | moundstove | 0.035 | 0.005 |
| 8 | grinimplement | 0.045 | 0.005 |
| 9 | asylumfruit | 0.0475 | 0.005 |
| 10 | asylummonk | 0.0975 | 0.0375 |
| 11 | graveyardmadhouse | 0.105 | 0.0225 |
| 12 | boyrooster | 0.11 | 0.0075 |
| 13 | glassmagician | 0.11 | 0.1075 |
| 14 | cushionjewel | 0.1125 | 0.0525 |
| 15 | monkslave | 0.1425 | 0.045 |
| 16 | asylumcemetery | 0.1975 | 0.0375 |
| 17 | coastforest | 0.2125 | 0.0475 |
| 18 | grinlad | 0.22 | 0.0125 |
| 19 | shorewoodland | 0.225 | 0.0825 |
| 20 | monkoracle | 0.2275 | 0.1125 |
| 21 | boysage | 0.24 | 0.0425 |
| 22 | automobilecushion | 0.2425 | 0.02 |
| 23 | moundshore | 0.2425 | 0.035 |
| 24 | ladwizard | 0.2475 | 0.0325 |
| 25 | forestgraveyard | 0.25 | 0.065 |
| 26 | foodrooster | 0.2725 | 0.055 |
| 27 | cemeterywoodland | 0.295 | 0.0375 |
| 28 | shorevoyage | 0.305 | 0.02 |
| 29 | birdwoodland | 0.31 | 0.0125 |
| 30 | coasthill | 0.315 | 0.1 |
| 31 | furnaceimplement | 0.3425 | 0.05 |
| 32 | cranerooster | 0.3525 | 0.02 |
| 33 | hillwoodland | 0.37 | 0.145 |
| 34 | carjourney | 0.3875 | 0.0725 |
| 35 | cemeterymound | 0.4225 | 0.0575 |
| 36 | glassjewel | 0.445 | 0.1075 |
| 37 | magicianoracle | 0.455 | 0.13 |
| 38 | craneimplement | 0.5925 | 0.185 |
| 39 | brotherlad | 0.6025 | 0.1275 |
| 40 | sagewizard | 0.615 | 0.1525 |
| 41 | oraclesage | 0.6525 | 0.2825 |
| 42 | birdcock | 0.6575 | 0.035 |
| 43 | birdcrane | 0.67 | 0.1625 | | | R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.0899021679 | 0.06 |
| 5 | autographshore | 0.0742552483 | 0.11 |
| 9 | asylumfruit | 0.0720444643 | 0.07 |
| 12 | boyrooster | 0.0907164485 | 0.16 |
| 17 | coastforest | 0.1106378337 | 0.26 |
| 21 | boysage | 0.2017739882 | 0.16 |
| 25 | forestgraveyard | 0.2015952767 | 0.33 |
| 29 | birdwoodland | 0.1651985693 | 0.12 |
| 33 | hillwoodland | 0.2918421392 | 0.29 |
| 37 | magicianoracle | 0.3057403627 | 0.2 |
| 41 | oraclesage | 0.5279307332 | 0.09 |
| 47 | furnacestove | 0.1651985693 | 0.3 |
| 48 | magicianwizard | 0.9985079423 | 0.34 |
| 49 | hillmound | 0.8148010746 | 0.15 |
| 50 | cordstring | 0.8148010746 | 0.49 |
| 51 | glasstumbler | 0.8561402541 | 0.28 |
| 52 | grinsmile | 0.9910074537 | 0.32 |
| 53 | serfslave | 0.8673305438 | 0.44 |
| 54 | journeyvoyage | 0.8185286992 | 0.41 |
| 55 | autographsignature | 0.8499457067 | 0.19 |
| 56 | coastshore | 0.8179120223 | 0.47 |
| 57 | forestwoodland | 0.9780261147 | 0.26 |
| 58 | implementtool | 0.0822919486 | 0.51 |
| 59 | cockrooster | 0.9093502924 | 0.94 |
| 60 | boylad | 0.9093502924 | 0.6 |
| 61 | cushionpillow | 0.8157293861 | 0.29 |
| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |
| 63 | automobilecar | 0.8185286992 | 0.52 |
| 64 | gemjewel | 0.8175091596 | 0.65 |
| 65 | middaynoon | 0.9993931059 | 0.93 | | 0 |
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.005 | 0.01 |
| 2 | noonstring | 0.01 | 0.005 |
| 3 | roostervoyage | 0.01 | 0.0125 |
| 4 | fruitfurnace | 0.0125 | 0.0475 |
| 5 | autographshore | 0.015 | 0.005 |
| 6 | automobilewizard | 0.0275 | 0.02 |
| 7 | moundstove | 0.035 | 0.005 |
| 8 | grinimplement | 0.045 | 0.005 |
| 9 | asylumfruit | 0.0475 | 0.005 |
| 10 | asylummonk | 0.0975 | 0.0375 |
| 11 | graveyardmadhouse | 0.105 | 0.0225 |
| 12 | boyrooster | 0.11 | 0.0075 |
| 13 | glassmagician | 0.11 | 0.1075 |
| 14 | cushionjewel | 0.1125 | 0.0525 |
| 15 | monkslave | 0.1425 | 0.045 |
| 16 | asylumcemetery | 0.1975 | 0.0375 |
| 17 | coastforest | 0.2125 | 0.0475 |
| 18 | grinlad | 0.22 | 0.0125 |
| 19 | shorewoodland | 0.225 | 0.0825 |
| 20 | monkoracle | 0.2275 | 0.1125 |
| 21 | boysage | 0.24 | 0.0425 |
| 22 | automobilecushion | 0.2425 | 0.02 |
| 23 | moundshore | 0.2425 | 0.035 | | | 24 | ladwizard | 0.2475 | 0.0325 |
| --- | --- | --- | --- |
| 25 | forestgraveyard | 0.25 | 0.065 |
| 26 | foodrooster | 0.2725 | 0.055 |
| 27 | cemeterywoodland | 0.295 | 0.0375 |
| 28 | shorevoyage | 0.305 | 0.02 |
| 29 | birdwoodland | 0.31 | 0.0125 |
| 30 | coasthill | 0.315 | 0.1 |
| 31 | furnaceimplement | 0.3425 | 0.05 |
| 32 | cranerooster | 0.3525 | 0.02 |
| 33 | hillwoodland | 0.37 | 0.145 |
| 34 | carjourney | 0.3875 | 0.0725 |
| 35 | cemeterymound | 0.4225 | 0.0575 |
| 36 | glassjewel | 0.445 | 0.1075 |
| 37 | magicianoracle | 0.455 | 0.13 |
| 38 | craneimplement | 0.5925 | 0.185 |
| 39 | brotherlad | 0.6025 | 0.1275 |
| 40 | sagewizard | 0.615 | 0.1525 |
| 41 | oraclesage | 0.6525 | 0.2825 |
| 42 | birdcock | 0.6575 | 0.035 |
| 43 | birdcrane | 0.67 | 0.1625 |
| 44 | foodfruit | 0.6725 | 0.2425 |
| 45 | brothermonk | 0.685 | 0.045 |
| 46 | asylummadhouse | 0.76 | 0.215 |
| 47 | furnacestove | 0.7775 | 0.3475 |
| 48 | magicianwizard | 0.8025 | 0.355 |
| 49 | hillmound | 0.8225 | 0.2925 |
| 50 | cordstring | 0.8525 | 0.47 |
| 51 | glasstumbler | 0.8625 | 0.1375 |
| 52 | grinsmile | 0.865 | 0.485 |
| 53 | serfslave | 0.865 | 0.4825 |
| 54 | journeyvoyage | 0.895 | 0.36 |
| 55 | autographsignature | 0.8975 | 0.405 |
| 56 | coastshore | 0.9 | 0.5875 | | 1 |
| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.005 | 0.01 |
| 2 | noonstring | 0.01 | 0.005 |
| 3 | roostervoyage | 0.01 | 0.0125 |
| 4 | fruitfurnace | 0.0125 | 0.0475 |
| 5 | autographshore | 0.015 | 0.005 |
| 6 | automobilewizard | 0.0275 | 0.02 |
| 7 | moundstove | 0.035 | 0.005 |
| 8 | grinimplement | 0.045 | 0.005 |
| 9 | asylumfruit | 0.0475 | 0.005 |
| 10 | asylummonk | 0.0975 | 0.0375 |
| 11 | graveyardmadhouse | 0.105 | 0.0225 |
| 12 | boyrooster | 0.11 | 0.0075 |
| 13 | glassmagician | 0.11 | 0.1075 |
| 14 | cushionjewel | 0.1125 | 0.0525 |
| 15 | monkslave | 0.1425 | 0.045 |
| 16 | asylumcemetery | 0.1975 | 0.0375 |
| 17 | coastforest | 0.2125 | 0.0475 |
| 18 | grinlad | 0.22 | 0.0125 |
| 19 | shorewoodland | 0.225 | 0.0825 |
| 20 | monkoracle | 0.2275 | 0.1125 |
| 21 | boysage | 0.24 | 0.0425 |
| 22 | automobilecushion | 0.2425 | 0.02 |
| 23 | moundshore | 0.2425 | 0.035 | | | 5 | autographshore | 0.0742552483 | 0.11 |
| --- | --- | --- | --- |
| 9 | asylumfruit | 0.0720444643 | 0.07 |
| 12 | boyrooster | 0.0907164485 | 0.16 |
| 17 | coastforest | 0.1106378337 | 0.26 |
| 21 | boysage | 0.2017739882 | 0.16 |
| 25 | forestgraveyard | 0.2015952767 | 0.33 |
| 29 | birdwoodland | 0.1651985693 | 0.12 |
| 33 | hillwoodland | 0.2918421392 | 0.29 |
| 37 | magicianoracle | 0.3057403627 | 0.2 |
| 41 | oraclesage | 0.5279307332 | 0.09 |
| 47 | furnacestove | 0.1651985693 | 0.3 |
| 48 | magicianwizard | 0.9985079423 | 0.34 |
| 49 | hillmound | 0.8148010746 | 0.15 |
| 50 | cordstring | 0.8148010746 | 0.49 |
| 51 | glasstumbler | 0.8561402541 | 0.28 |
| 52 | grinsmile | 0.9910074537 | 0.32 |
| 53 | serfslave | 0.8673305438 | 0.44 |
| 54 | journeyvoyage | 0.8185286992 | 0.41 |
| 55 | autographsignature | 0.8499457067 | 0.19 |
| 56 | coastshore | 0.8179120223 | 0.47 |
| 57 | forestwoodland | 0.9780261147 | 0.26 |
| 58 | implementtool | 0.0822919486 | 0.51 |
| 59 | cockrooster | 0.9093502924 | 0.94 |
| 60 | boylad | 0.9093502924 | 0.6 |
| 61 | cushionpillow | 0.8157293861 | 0.29 |
| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |
| 63 | automobilecar | 0.8185286992 | 0.52 |
| 64 | gemjewel | 0.8175091596 | 0.65 |
| 65 | middaynoon | 0.9993931059 | 0.93 | | 0 |
| Replacedcharactersequence | Replacedby |
| --- | --- |
| tu | tsu |
| ti | chi |
| sya | sha | | | syo | sho |
| --- | --- |
| syu | shu |
| zya | ja |
| zyo | jo |
| zyu | ju |
| tya | cha |
| tyo | cho |
| tyu | chu |
| si | shi |
| hu | fu |
| zi | ji |
| jya | ja |
| jyo | jo |
| jyu | ju |
| l | r | | 1 |
| Replacedcharactersequence | Replacedby |
| --- | --- |
| tu | tsu |
| ti | chi |
| sya | sha | | | Token | Language |
| --- | --- |
| bhai | hi |
| triple | en |
| talaq | hi |
| se | hi |
| aap | hi |
| kya | hi |
| samjhte | hi |
| hai | hi |
| samjhaye | hi |
| aap | hi |
| zara | hi |
| .. | rest |
| agar | hi |
| triple | en |
| talaq | hi |
| pta | hi |
| hota | hi |
| apko | hi |
| toh | hi |
| aisa | hi |
| nhi | en |
| kehte | hi |
| .. | rest | | 0 |
| Replacedcharactersequence | Replacedby |
| --- | --- |
| tu | tsu |
| ti | chi |
| sya | sha |
| syo | sho |
| syu | shu | | | zya | ja |
| --- | --- |
| zyo | jo |
| zyu | ju |
| tya | cha |
| tyo | cho |
| tyu | chu |
| si | shi |
| hu | fu |
| zi | ji |
| jya | ja |
| jyo | jo |
| jyu | ju |
| l | r | | 1 |
| Replacedcharactersequence | Replacedby |
| --- | --- |
| tu | tsu |
| ti | chi |
| sya | sha |
| syo | sho |
| syu | shu | | | aap | hi |
| --- | --- |
| zara | hi |
| .. | rest |
| agar | hi |
| triple | en |
| talaq | hi |
| pta | hi |
| hota | hi |
| apko | hi |
| toh | hi |
| aisa | hi |
| nhi | en |
| kehte | hi |
| .. | rest | | 0 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 |
| no-distant | 0.70 | 0.65 | 0.674 | | | one-step(CRF) | 0.67 | 0.64 | 0.655 |
| --- | --- | --- | --- |
| rule | 0.80 | 0.30 | 0.436 | | 1 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 |
| no-distant | 0.70 | 0.65 | 0.674 | | | Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 |
| no-distant | 0.70 | 0.65 | 0.674 |
| one-step(CRF) | 0.67 | 0.64 | 0.655 |
| rule | 0.80 | 0.30 | 0.436 | | 0 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 |
| no-distant | 0.70 | 0.65 | 0.674 | | | one-step(CRF) | 0.67 | 0.64 | 0.655 |
| --- | --- | --- | --- |
| rule | 0.80 | 0.30 | 0.436 | | 1 |
| Model | Pre | Rec | F1 |
| --- | --- | --- | --- |
| semi+distant | 0.73 | 0.64 | 0.682 |
| no-distant | 0.70 | 0.65 | 0.674 | | | no-distant | 0.70 | 0.65 | 0.674 |
| --- | --- | --- | --- |
| one-step(CRF) | 0.67 | 0.64 | 0.655 |
| rule | 0.80 | 0.30 | 0.436 | | 0 |
| Error | Frequency |
| --- | --- |
| Earlystart | 398 | | | Latestart | 77 |
| --- | --- |
| Earlyend | 116 |
| Lateend | 115 | | 1 |
| Error | Frequency |
| --- | --- |
| Earlystart | 398 | | | Identifier | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |
| --- | --- | --- |
| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |
| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |
| Log-on3 | 5thMar.03:06Z | Between35and95minutes |
| Log-on4 | 6thMar.13:29Z | Between43and103minutes |
| Log-on5 | 6thMar.15:02Z | Between35and92minutes |
| Log-on6 | 7thMar.12:50Z | Between228and288minutes |
| Log-on7 | 7thMar.18:25Z | Between20and78minutes | | 0 |
| Error | Frequency |
| --- | --- |
| Earlystart | 398 | | | Latestart | 77 |
| --- | --- |
| Earlyend | 116 |
| Lateend | 115 | | 1 |
| Error | Frequency |
| --- | --- |
| Earlystart | 398 | | | Log-on2 | 26thFeb.14:11Z | Between295and354minutes |
| --- | --- | --- |
| Log-on3 | 5thMar.03:06Z | Between35and95minutes |
| Log-on4 | 6thMar.13:29Z | Between43and103minutes |
| Log-on5 | 6thMar.15:02Z | Between35and92minutes |
| Log-on6 | 7thMar.12:50Z | Between228and288minutes |
| Log-on7 | 7thMar.18:25Z | Between20and78minutes | | 0 |
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