premise string | hypothesis string | label int64 |
|---|---|---|
| #ofPieces | RunTime |
| --- | --- |
| 432 | 48.73[sec] |
| 540 | 64.06[sec] | | | 805 | 116.18[sec] |
| --- | --- |
| 2,360 | 17.60[min] |
| 3,300 | 30.24[min] |
| 5,015 | 61.06[min] |
| 10,375 | 3.21[hr] |
| 22,834 | 13.19[hr] | | 1 |
| #ofPieces | RunTime |
| --- | --- |
| 432 | 48.73[sec] |
| 540 | 64.06[sec] | | | #ofPieces | RunTime |
| --- | --- |
| Single-Threaded | |
| 432 | 48.73[sec] |
| 540 | 64.06[sec] |
| 805 | 116.18[sec] |
| 2,360 | 17.60[min] |
| 3,300 | 30.24[min] |
| 5,015 | 61.06[min] |
| 10,375 | 3.21[hr] |
| 22,755 | 13.19[hr] |
| Multi-Threaded | |
| 22,755 | 3.43[hr] |
| 30,745 | 6.51[hr] | | 0 |
| #ofPieces | RunTime |
| --- | --- |
| 432 | 48.73[sec] |
| 540 | 64.06[sec] |
| 805 | 116.18[sec] |
| 2,360 | 17.60[min] |
| 3,300 | 30.24[min] |
| 5,015 | 61.06[min] | | | 10,375 | 3.21[hr] |
| --- | --- |
| 22,834 | 13.19[hr] | | 1 |
| #ofPieces | RunTime |
| --- | --- |
| 432 | 48.73[sec] |
| 540 | 64.06[sec] |
| 805 | 116.18[sec] |
| 2,360 | 17.60[min] |
| 3,300 | 30.24[min] |
| 5,015 | 61.06[min] | | | 22,755 | 3.43[hr] |
| --- | --- |
| 30,745 | 6.51[hr] | | 0 |
| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |
| --- | --- | --- | --- | --- |
| 6 | 154 | 46 | 167 | 33 |
| 8 | 154 | 46 | 168 | 32 |
| 10 | 153 | 47 | 168 | 32 | | | 12 | 150 | 50 | 169 | 31 |
| --- | --- | --- | --- | --- |
| 14 | 150 | 50 | 169 | 31 |
| 16 | 148 | 52 | 168 | 32 |
| 18 | 145 | 55 | 167 | 33 |
| 20 | 146 | 54 | 167 | 33 | | 1 |
| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |
| --- | --- | --- | --- | --- |
| 6 | 154 | 46 | 167 | 33 |
| 8 | 154 | 46 | 168 | 32 |
| 10 | 153 | 47 | 168 | 32 | | | Ground<br>truth | TIFFS | | |
| --- | --- | --- | --- |
| Extract | Match | Extract | |
| 352 | 358 | 181 | 351 |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 |
| 117 | 82 | 69 | 80 |
| 92 | 58 | 42 | 62 |
| 1565 | 1074 | 681 | 1060 | | 0 |
| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |
| --- | --- | --- | --- | --- |
| 6 | 154 | 46 | 167 | 33 | | | 8 | 154 | 46 | 168 | 32 |
| --- | --- | --- | --- | --- |
| 10 | 153 | 47 | 168 | 32 |
| 12 | 150 | 50 | 169 | 31 |
| 14 | 150 | 50 | 169 | 31 |
| 16 | 148 | 52 | 168 | 32 |
| 18 | 145 | 55 | 167 | 33 |
| 20 | 146 | 54 | 167 | 33 | | 1 |
| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |
| --- | --- | --- | --- | --- |
| 6 | 154 | 46 | 167 | 33 | | | 352 | 358 | 181 | 351 |
| --- | --- | --- | --- |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 |
| 117 | 82 | 69 | 80 |
| 92 | 58 | 42 | 62 |
| 1565 | 1074 | 681 | 1060 | | 0 |
| | Bit | CNT2 | CNT1 |
| --- | --- | --- | --- |
| Conv-FF | 16 | H,WKK | W×HKK |
| Conv-BP | 32 | H,WKK | W×HKK | | | Conv-UP | 32 | P,L | L |
| --- | --- | --- | --- |
| FC-FF | 16 | P,L | L |
| FC-BP | 32 | P,L | L |
| FC-UP | 32 | h | 1 | | 1 |
| | Bit | CNT2 | CNT1 |
| --- | --- | --- | --- |
| Conv-FF | 16 | H,WKK | W×HKK |
| Conv-BP | 32 | H,WKK | W×HKK | | | ConvEncoder | ConvDecoder | | |
| --- | --- | --- | --- |
| OutputSize | Operation | Outputsize | Operation |
| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |
| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |
| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |
| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |
| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |
| | | 4×4×Nc | 4×4ConvT()Nc | | 0 |
| | Bit | CNT2 | CNT1 |
| --- | --- | --- | --- |
| Conv-FF | 16 | H,WKK | W×HKK |
| Conv-BP | 32 | H,WKK | W×HKK | | | Conv-UP | 32 | P,L | L |
| --- | --- | --- | --- |
| FC-FF | 16 | P,L | L |
| FC-BP | 32 | P,L | L |
| FC-UP | 32 | h | 1 | | 1 |
| | Bit | CNT2 | CNT1 |
| --- | --- | --- | --- |
| Conv-FF | 16 | H,WKK | W×HKK |
| Conv-BP | 32 | H,WKK | W×HKK | | | 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |
| --- | --- | --- | --- |
| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |
| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |
| | | 4×4×Nc | 4×4ConvT()Nc | | 0 |
| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 | | | RNNSearch(16K) | 34.96 | 32.19 | 33.85 | 30.79 | 30.32 | 22.13 | 29.86 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| RNNSearch(30K) | 36.04 | 33.96 | 35.82 | 33.05 | 31.88 | 23.61 | 31.66 |
| phraseNet(16K)gate | 37.68 | 36.01 | 37.69 | 34.61 | 32.70 | 25.52 | 33.31 |
| phraseNet(16K)softmax | 36.60 | 34.07 | 35.93 | 33.37 | 31.96 | 24.62 | 31.99 | | 1 |
| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 | | | Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |
| --- | --- | --- | --- | --- | --- | --- |
| Targetsnippetlength=5sentence | | | | | | |
| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |
| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |
| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |
| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |
| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |
| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |
| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |
| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |
| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |
| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |
| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 | | 0 |
| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 | | | RNNSearch(16K) | 34.96 | 32.19 | 33.85 | 30.79 | 30.32 | 22.13 | 29.86 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| RNNSearch(30K) | 36.04 | 33.96 | 35.82 | 33.05 | 31.88 | 23.61 | 31.66 |
| phraseNet(16K)gate | 37.68 | 36.01 | 37.69 | 34.61 | 32.70 | 25.52 | 33.31 |
| phraseNet(16K)softmax | 36.60 | 34.07 | 35.93 | 33.37 | 31.96 | 24.62 | 31.99 | | 1 |
| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 | | | A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |
| --- | --- | --- | --- | --- | --- | --- |
| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |
| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |
| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |
| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |
| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |
| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 | | 0 |
| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |
| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |
| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |
| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |
| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |
| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 | | | 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| --- | --- | --- | --- | --- | --- | --- |
| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 | | 1 |
| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |
| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |
| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |
| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |
| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |
| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 | | | t,T | at | bt | pA,t | PA,t |
| --- | --- | --- | --- | --- |
| 0,1 | 0.080 | 0 | 0.500 | 0.722 |
| 5,2 | 0 | 0.117 | 0.722 | 0.839 |
| 10,3 | 0 | 0.261 | 0839 | 0.564 |
| 15,4 | 0 | 0.055 | 0.564 | 0.712 |
| 20,5 | 0 | 0.077 | 0.712 | 0.903 |
| 25,6 | 0 | 0.154 | 0.903 | 0.803 |
| 30,7 | 0 | 0.251 | 0.803 | 0.576 |
| 35,8 | 0 | 0.108 | 0.576 | 0.590 |
| 40,9 | 0 | 0.176 | 0.590 | 0.437 |
| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |
| 50,11 | 0 | 0.152 | 0.568 | 0.419 |
| 55,12 | 00746 | 0 | 0.419 | 0.283 | | 0 |
| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |
| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |
| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 | | | 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| --- | --- | --- | --- | --- | --- | --- |
| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |
| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |
| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |
| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |
| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 | | 1 |
| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |
| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |
| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 | | | 30,7 | 0 | 0.251 | 0.803 | 0.576 |
| --- | --- | --- | --- | --- |
| 35,8 | 0 | 0.108 | 0.576 | 0.590 |
| 40,9 | 0 | 0.176 | 0.590 | 0.437 |
| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |
| 50,11 | 0 | 0.152 | 0.568 | 0.419 |
| 55,12 | 00746 | 0 | 0.419 | 0.283 | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Trends | q(y\|x) | total | avg | std |
| --- | --- | --- | --- | --- |
| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 | | | Sampled | Brownian<br>Illusion<br>Reservoir | 316<br>347<br>254 | 31.60<br>34.70<br>25.40 | 5.44<br>4.62<br>2.45 |
| --- | --- | --- | --- | --- |
| Duplicated | Brownian<br>Illusion<br>Reservoir | 188<br>188<br>264 | 18.80<br>18.80<br>26.40 | 3.08<br>3.04<br>2.91 |
| Followers | Brownian<br>Illusion<br>Reservoir | 71574<br>80522<br>73006 | 7157.4<br>8052.2<br>7300.6 | 1696.6<br>2654.8<br>1582 | | 1 |
| Trends | q(y\|x) | total | avg | std |
| --- | --- | --- | --- | --- |
| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 | | | Dataset | CIFAR-10 | | | | |
| --- | --- | --- | --- | --- | --- |
| #Depths | 20 | 32 | 44 | 56 | 110 |
| Original<br>ELU(a)<br>FReLU(a)<br>ELU(c)<br>FReLU(b) | 8.12(0.18)<br>8.04(0.08)<br>8.10(0.18)<br>8.28(0.09)<br>8.00(0.14) | 7.28(0.19)<br>7.62(0.21)<br>7.30(0.17)<br>7.07(0.17)<br>6.99(0.11) | 6.97(0.24)<br>7.51(0.22)<br>6.91(0.25)<br>6.78(0.10)<br>6.58(0.19) | 6.87(0.54)<br>7.71(0.26)<br>6.54(0.22)<br>6.54(0.20)<br>6.31(0.20) | 6.82(0.63)<br>8.21(0.21)<br>6.20(0.23)<br>5.86(0.14)<br>5.71(0.19) |
| Dataset | CIFAR-100 | | | | |
| #Depths | 20 | 32 | 44 | 56 | 110 |
| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) | | 0 |
| Trends | q(y\|x) | total | avg | std |
| --- | --- | --- | --- | --- |
| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 | | | Sampled | Brownian<br>Illusion<br>Reservoir | 316<br>347<br>254 | 31.60<br>34.70<br>25.40 | 5.44<br>4.62<br>2.45 |
| --- | --- | --- | --- | --- |
| Duplicated | Brownian<br>Illusion<br>Reservoir | 188<br>188<br>264 | 18.80<br>18.80<br>26.40 | 3.08<br>3.04<br>2.91 |
| Followers | Brownian<br>Illusion<br>Reservoir | 71574<br>80522<br>73006 | 7157.4<br>8052.2<br>7300.6 | 1696.6<br>2654.8<br>1582 | | 1 |
| Trends | q(y\|x) | total | avg | std |
| --- | --- | --- | --- | --- |
| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 | | | Dataset | CIFAR-100 | | | | |
| --- | --- | --- | --- | --- | --- |
| #Depths | 20 | 32 | 44 | 56 | 110 |
| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Masktype | Adiron | Jadepl | Motor | Piano |
| --- | --- | --- | --- | --- |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 |
| Masktype | Playt | Playrm | Recyc | Shelvs |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 22.8384<br>23.2150<br>24.3513<br>24.4886 | 17.7783<br>18.0073<br>18.6153<br>18.7681 | 23.5558<br>23.9033<br>24.7019<br>24.8112 | 14.9259<br>15.3300<br>16.1661<br>16.2910 |
| Masktype | Teddy | Pipes | Vintge | MotorE |
| Method | rand | rand | rand | rand | | | LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.5329<br>20.0866<br>20.7570<br>20.8839 | 22.1899<br>22.9039<br>23.4278<br>23.6760 | 22.7924<br>23.2368<br>24.0400<br>24.2091 | 22.3541<br>23.2859<br>23.1577<br>23.3850 |
| --- | --- | --- | --- | --- |
| Masktype | PianoL | PlaytP | adi | ted |
| Method | rand | rand | text | text |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.8488<br>20.1330<br>21.3011<br>21.4553 | 23.9959<br>23.2150<br>25.6337<br>25.8008 | 28.2444<br>28.3886<br>28.9347<br>29.2523 | 16.359<br>16.9535<br>17.0616<br>17.1101 | | 1 |
| Masktype | Adiron | Jadepl | Motor | Piano |
| --- | --- | --- | --- | --- |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 |
| Masktype | Playt | Playrm | Recyc | Shelvs |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 22.8384<br>23.2150<br>24.3513<br>24.4886 | 17.7783<br>18.0073<br>18.6153<br>18.7681 | 23.5558<br>23.9033<br>24.7019<br>24.8112 | 14.9259<br>15.3300<br>16.1661<br>16.2910 |
| Masktype | Teddy | Pipes | Vintge | MotorE |
| Method | rand | rand | rand | rand | | | Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |
| --- | --- | --- | --- | --- | --- | --- |
| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |
| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |
| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |
| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. | | | | | | | | 0 |
| Masktype | Adiron | Jadepl | Motor | Piano |
| --- | --- | --- | --- | --- |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 | | | Masktype | Playt | Playrm | Recyc | Shelvs |
| --- | --- | --- | --- | --- |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 22.8384<br>23.2150<br>24.3513<br>24.4886 | 17.7783<br>18.0073<br>18.6153<br>18.7681 | 23.5558<br>23.9033<br>24.7019<br>24.8112 | 14.9259<br>15.3300<br>16.1661<br>16.2910 |
| Masktype | Teddy | Pipes | Vintge | MotorE |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.5329<br>20.0866<br>20.7570<br>20.8839 | 22.1899<br>22.9039<br>23.4278<br>23.6760 | 22.7924<br>23.2368<br>24.0400<br>24.2091 | 22.3541<br>23.2859<br>23.1577<br>23.3850 |
| Masktype | PianoL | PlaytP | adi | ted |
| Method | rand | rand | text | text |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.8488<br>20.1330<br>21.3011<br>21.4553 | 23.9959<br>23.2150<br>25.6337<br>25.8008 | 28.2444<br>28.3886<br>28.9347<br>29.2523 | 16.359<br>16.9535<br>17.0616<br>17.1101 | | 1 |
| Masktype | Adiron | Jadepl | Motor | Piano |
| --- | --- | --- | --- | --- |
| Method | rand | rand | rand | rand |
| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 | | | COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |
| --- | --- | --- | --- | --- | --- | --- |
| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. | | | | | | | | 0 |
| Application | ApplicationType | CloudUsagePattern |
| --- | --- | --- |
| Facebook | Socialnetworking | nps.e | | | Go!Animate | Userdataprocessing | i.s.e |
| --- | --- | --- |
| EasyJet | CRM/PRM | ip.s.e |
| SalesForce.com | CRM/PRM | ps.e |
| Zynga | Onlinegamingandmeta-gaming | (i.)(i)s.e | | 1 |
| Application | ApplicationType | CloudUsagePattern |
| --- | --- | --- |
| Facebook | Socialnetworking | nps.e | | | CloudSim[24] | GreenCloud[9] | iCanCloud[3] |
| --- | --- | --- |
| any | NS2 | OMNET,MPI |
| Java | C++/OTcl | C++ |
| OpenSource | OpenSource | OpenSource |
| Limited(ViaCloudAnalyst) | N | N |
| N | Limited(ViaPlug-in) | Y |
| N | N | Y |
| N | N | Y |
| Y | Y | N |
| Y | N | N |
| Seconds | Tensofminutes | seconds |
| small | large | medium | | 0 |
| Application | ApplicationType | CloudUsagePattern |
| --- | --- | --- |
| Facebook | Socialnetworking | nps.e |
| Go!Animate | Userdataprocessing | i.s.e | | | EasyJet | CRM/PRM | ip.s.e |
| --- | --- | --- |
| SalesForce.com | CRM/PRM | ps.e |
| Zynga | Onlinegamingandmeta-gaming | (i.)(i)s.e | | 1 |
| Application | ApplicationType | CloudUsagePattern |
| --- | --- | --- |
| Facebook | Socialnetworking | nps.e |
| Go!Animate | Userdataprocessing | i.s.e | | | Y | N | N |
| --- | --- | --- |
| Seconds | Tensofminutes | seconds |
| small | large | medium | | 0 |
| Data(hrs) | AM | LM | SWB | CH |
| --- | --- | --- | --- | --- |
| 300 | A2W | - | 20.8 | 30.4 | | | 300 | PhoneCTC | Small | 14.5 | 25.1 |
| --- | --- | --- | --- | --- |
| 2000 | A2W | - | 13.0 | 18.8 |
| 2000 | PhoneCTC | Big | 9.6 | 16.0 | | 1 |
| Data(hrs) | AM | LM | SWB | CH |
| --- | --- | --- | --- | --- |
| 300 | A2W | - | 20.8 | 30.4 | | | Dataset | DDER | CoR | RLMS | Ours |
| --- | --- | --- | --- | --- |
| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |
| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |
| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |
| my01 | 5.61 | 2.79 | 4.35 | 2.89 |
| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |
| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |
| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |
| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |
| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |
| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |
| luc05 | 3.39 | 2.39 | 3.44 | 2.88 | | 0 |
| Data(hrs) | AM | LM | SWB | CH |
| --- | --- | --- | --- | --- |
| 300 | A2W | - | 20.8 | 30.4 |
| 300 | PhoneCTC | Small | 14.5 | 25.1 | | | 2000 | A2W | - | 13.0 | 18.8 |
| --- | --- | --- | --- | --- |
| 2000 | PhoneCTC | Big | 9.6 | 16.0 | | 1 |
| Data(hrs) | AM | LM | SWB | CH |
| --- | --- | --- | --- | --- |
| 300 | A2W | - | 20.8 | 30.4 |
| 300 | PhoneCTC | Small | 14.5 | 25.1 | | | luc01 | 4.96 | 2.38 | 5.86 | 3.49 |
| --- | --- | --- | --- | --- |
| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |
| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |
| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |
| luc05 | 3.39 | 2.39 | 3.44 | 2.88 | | 0 |
| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |
| --- | --- | --- | --- |
| Metarooms | 0.069 | 0.247 | 0.316 | | | Metarooms+peoplerejection | 0.111 | 0.322 | 0.415 |
| --- | --- | --- | --- |
| Proposedmethod | 0.202 | 0.204 | 0.339 |
| Proposedmethod+peoplerejection | 0.249 | 0.269 | 0.395 | | 1 |
| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |
| --- | --- | --- | --- |
| Metarooms | 0.069 | 0.247 | 0.316 | | | Algorithm | Horizontal | Vertical | Diagonal |
| --- | --- | --- | --- |
| Proposedalgorithm | −0.0014 | 0.0025 | 0.0051 |
| Ref. | 0.002 | 0.0062 | 0.0066 |
| Ref. | −0.0069 | −0.0188 | −0.0482 |
| Ref. | −0.0274 | 0.0046 | −0.0038 |
| Ref. | 0.319 | 0.3314 | 0.0149 |
| Ref. | −0.0016 | −0.0033 | 0.0130 |
| Ref. | −0.0226 | 0.0041 | 0.0368 | | 0 |
| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |
| --- | --- | --- | --- |
| Metarooms | 0.069 | 0.247 | 0.316 |
| Metarooms+peoplerejection | 0.111 | 0.322 | 0.415 | | | Proposedmethod | 0.202 | 0.204 | 0.339 |
| --- | --- | --- | --- |
| Proposedmethod+peoplerejection | 0.249 | 0.269 | 0.395 | | 1 |
| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |
| --- | --- | --- | --- |
| Metarooms | 0.069 | 0.247 | 0.316 |
| Metarooms+peoplerejection | 0.111 | 0.322 | 0.415 | | | Ref. | 0.002 | 0.0062 | 0.0066 |
| --- | --- | --- | --- |
| Ref. | −0.0069 | −0.0188 | −0.0482 |
| Ref. | −0.0274 | 0.0046 | −0.0038 |
| Ref. | 0.319 | 0.3314 | 0.0149 |
| Ref. | −0.0016 | −0.0033 | 0.0130 |
| Ref. | −0.0226 | 0.0041 | 0.0368 | | 0 |
| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |
| --- | --- | --- | --- | --- |
| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 | | | Rene-Levesque | 0.812 | 0.855 | 0.612 | 0.654 |
| --- | --- | --- | --- | --- |
| Rouen | 0.734 | 0.834 | 0.724 | 0.823 |
| St-Marc | 0.684 | 0.754 | 0.415 | 0.458 | | 1 |
| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |
| --- | --- | --- | --- | --- |
| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 | | | | MKCF | UT | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | MOTA | MOTP | MOTA | MOTP | | | | |
| | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |
| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |
| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |
| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |
| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 | | 0 |
| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |
| --- | --- | --- | --- | --- |
| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 | | | Rene-Levesque | 0.812 | 0.855 | 0.612 | 0.654 |
| --- | --- | --- | --- | --- |
| Rouen | 0.734 | 0.834 | 0.724 | 0.823 |
| St-Marc | 0.684 | 0.754 | 0.415 | 0.458 | | 1 |
| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |
| --- | --- | --- | --- | --- |
| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 | | | Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |
| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |
| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 | | 0 |
| Dataset | SourceC/RRowsFeatures |
| --- | --- |
| HiggsBoson | UCIrvineC5000028 |
| AmazonEmployee | KaggleC327699 |
| PimaIndian | UCIrvineC7688 |
| SpectF | UCIrvineC26744 |
| SVMGuide3 | LibSVMC124321 |
| GermanCredit | UCIrvineC100124 |
| BikeshareDC | KaggleR1088611 | | | HousingBoston | UCIrvineR50613 |
| --- | --- |
| Airfoil | UCIrvineR15035 |
| AP-omentum-ovary | OpenMLC27510936 |
| Lymphography | UCIrvineC14818 |
| Ionosphere | UCIrvineC35134 |
| Openml618 | OpenMLR100050 |
| Openml589 | OpenMLR100025 |
| Openml616 | OpenMLR50050 |
| Openml607 | OpenMLR100050 |
| Openml620 | OpenMLR100025 |
| Openml637 | OpenMLR50050 |
| Openml586 | OpenMLR100025 |
| CreditDefault | UCIrvineC3000025 |
| Messidorfeatures | UCIrvineC115019 |
| WineQualityRed | UCIrvineC99912 |
| WineQualityWhite | UCIrvineC490012 |
| SpamBase | UCIrvineC460157 | | 1 |
| Dataset | SourceC/RRowsFeatures |
| --- | --- |
| HiggsBoson | UCIrvineC5000028 |
| AmazonEmployee | KaggleC327699 |
| PimaIndian | UCIrvineC7688 |
| SpectF | UCIrvineC26744 |
| SVMGuide3 | LibSVMC124321 |
| GermanCredit | UCIrvineC100124 |
| BikeshareDC | KaggleR1088611 | | | 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 |
| Dataset | SourceC/RRowsFeatures |
| --- | --- |
| HiggsBoson | UCIrvineC5000028 |
| AmazonEmployee | KaggleC327699 |
| PimaIndian | UCIrvineC7688 |
| SpectF | UCIrvineC26744 |
| SVMGuide3 | LibSVMC124321 |
| GermanCredit | UCIrvineC100124 |
| BikeshareDC | KaggleR1088611 | | | HousingBoston | UCIrvineR50613 |
| --- | --- |
| Airfoil | UCIrvineR15035 |
| AP-omentum-ovary | OpenMLC27510936 |
| Lymphography | UCIrvineC14818 |
| Ionosphere | UCIrvineC35134 |
| Openml618 | OpenMLR100050 |
| Openml589 | OpenMLR100025 |
| Openml616 | OpenMLR50050 |
| Openml607 | OpenMLR100050 |
| Openml620 | OpenMLR100025 |
| Openml637 | OpenMLR50050 |
| Openml586 | OpenMLR100025 |
| CreditDefault | UCIrvineC3000025 |
| Messidorfeatures | UCIrvineC115019 |
| WineQualityRed | UCIrvineC99912 |
| WineQualityWhite | UCIrvineC490012 |
| SpamBase | UCIrvineC460157 | | 1 |
| Dataset | SourceC/RRowsFeatures |
| --- | --- |
| HiggsBoson | UCIrvineC5000028 |
| AmazonEmployee | KaggleC327699 |
| PimaIndian | UCIrvineC7688 |
| SpectF | UCIrvineC26744 |
| SVMGuide3 | LibSVMC124321 |
| GermanCredit | UCIrvineC100124 |
| BikeshareDC | KaggleR1088611 | | | Prostate | 2 | 102 | 6,033 |
| --- | --- | --- | --- |
| Leukemia | 2 | 72 | 7,129 |
| Lungcancer | 2 | 181 | 12,533 | | 0 |
| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |
| --- | --- | --- | --- | --- |
| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |
| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 | | | Fusionmethodsin<br>comparison. | AnotherlayerofRVM/SVR<br>Takingthemax<br>Takingthemin<br>Takingthemean | 3.30(2.50)<br>11.92(0.67)<br>4.02(0.18)<br>7.08(0.09) | 4.14(1.25)<br>12.72(0.61)<br>4.23(0.06)<br>4.81(0.12) | 3.35(1.02)<br>2.85(0.16)<br>9.04(1.84)<br>3.40(0.19) |
| --- | --- | --- | --- | --- |
| Directbag-levellabel<br>prediction. | ClusterMIR<br>AggregateMIR<br>RFC-MIR | 10.17(0.00)<br>10.05(0.00)<br>16.57(0.00) | 11.19(0.00)<br>11.19(0.00)<br>15.63(0.00) | 8.09(0.00)<br>6.87(0.00)<br>6.55(0.00) | | 1 |
| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |
| --- | --- | --- | --- | --- |
| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |
| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 | | | | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |
| --- | --- |
| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |
| | LRLR(RR)LR(SDB)LR(RM)DADT |
| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) | | 0 |
| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |
| --- | --- | --- | --- | --- |
| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |
| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 | | | Fusionmethodsin<br>comparison. | AnotherlayerofRVM/SVR<br>Takingthemax<br>Takingthemin<br>Takingthemean | 3.30(2.50)<br>11.92(0.67)<br>4.02(0.18)<br>7.08(0.09) | 4.14(1.25)<br>12.72(0.61)<br>4.23(0.06)<br>4.81(0.12) | 3.35(1.02)<br>2.85(0.16)<br>9.04(1.84)<br>3.40(0.19) |
| --- | --- | --- | --- | --- |
| Directbag-levellabel<br>prediction. | ClusterMIR<br>AggregateMIR<br>RFC-MIR | 10.17(0.00)<br>10.05(0.00)<br>16.57(0.00) | 11.19(0.00)<br>11.19(0.00)<br>15.63(0.00) | 8.09(0.00)<br>6.87(0.00)<br>6.55(0.00) | | 1 |
| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |
| --- | --- | --- | --- | --- |
| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |
| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 | | | labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |
| --- | --- |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |
| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) | | 0 |
| ra | SizeNEdges |
| --- | --- |
| Dolphins | 62159 |
| Lesmiserable | 77254 | | | Football | 115613 |
| --- | --- |
| Facebook | 403988,234 | | 1 |
| ra | SizeNEdges |
| --- | --- |
| Dolphins | 62159 |
| Lesmiserable | 77254 | | | Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cfinder | k |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |
| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |
| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |
| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |
| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 | | 0.64 | 4 |
| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 | | 0.55 | 7 |
| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |
| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |
| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |
| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |
| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 | | 0 |
| ra | SizeNEdges |
| --- | --- |
| Dolphins | 62159 | | | Lesmiserable | 77254 |
| --- | --- |
| Football | 115613 |
| Facebook | 403988,234 | | 1 |
| ra | SizeNEdges |
| --- | --- |
| Dolphins | 62159 | | | dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |
| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |
| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 | | 0.64 | 4 |
| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 | | 0.55 | 7 |
| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |
| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |
| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |
| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |
| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 | | 0 |
| Setup | Naive | Girginetal. | Sym |
| --- | --- | --- | --- |
| a | 136±7 | 113±5 | 37±6 |
| b | 237±6 | 166±7 | 46±6 | | | c | 174±7 | 116±6 | 31±5 |
| --- | --- | --- | --- |
| d | 241±5 | 187±6 | 38±6 |
| e | 253±8 | 177±6 | 41±7 |
| f | 275±9 | 229±10 | 54±8 | | 1 |
| Setup | Naive | Girginetal. | Sym |
| --- | --- | --- | --- |
| a | 136±7 | 113±5 | 37±6 |
| b | 237±6 | 166±7 | 46±6 | | | Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |
| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |
| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |
| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |
| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 | | 0 |
| Setup | Naive | Girginetal. | Sym |
| --- | --- | --- | --- |
| a | 136±7 | 113±5 | 37±6 |
| b | 237±6 | 166±7 | 46±6 |
| c | 174±7 | 116±6 | 31±5 | | | d | 241±5 | 187±6 | 38±6 |
| --- | --- | --- | --- |
| e | 253±8 | 177±6 | 41±7 |
| f | 275±9 | 229±10 | 54±8 | | 1 |
| Setup | Naive | Girginetal. | Sym |
| --- | --- | --- | --- |
| a | 136±7 | 113±5 | 37±6 |
| b | 237±6 | 166±7 | 46±6 |
| c | 174±7 | 116±6 | 31±5 | | | #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |
| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |
| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 | | 0 |
| Category |
| --- |
| GroupStructre |
| CascadeForest | | | Attribute |
| --- |
| LocalStructure | | 1 |
| Category |
| --- |
| GroupStructre |
| CascadeForest | | | Category | RelationAttribute |
| --- | --- |
| RO | hasactiveingredient |
| RO | hasingredient |
| RO | hasproductcomponent |
| RO | hastradename |
| RO | refersto |
| RQ | hasalias |
| RQ | replaces |
| SY | - |
| SY | expandedformof |
| SY | hasexpandedform |
| SY | hasmultilevelcategory |
| SY | hasprintname |
| SY | hassinglelevelcategory |
| SY | hastradename |
| SY | sameas | | 0 |
| Category |
| --- |
| GroupStructre | | | CascadeForest |
| --- |
| Attribute |
| LocalStructure | | 1 |
| Category |
| --- |
| GroupStructre | | | RO | hasingredient |
| --- | --- |
| RO | hasproductcomponent |
| RO | hastradename |
| RO | refersto |
| RQ | hasalias |
| RQ | replaces |
| SY | - |
| SY | expandedformof |
| SY | hasexpandedform |
| SY | hasmultilevelcategory |
| SY | hasprintname |
| SY | hassinglelevelcategory |
| SY | hastradename |
| SY | sameas | | 0 |
| Method | Accuracy | |
| --- | --- | --- |
| CleanAudio | NoisyAudio | |
| MDAE | 94.4 | 77.3 |
| AudioRBM | 95.8 | 75.8 | | | MDAE+AudioRBM | 94.4 | 82.2 |
| --- | --- | --- |
| CorrRNN | 96.11 | 90.88 | | 1 |
| Method | Accuracy | |
| --- | --- | --- |
| CleanAudio | NoisyAudio | |
| MDAE | 94.4 | 77.3 |
| AudioRBM | 95.8 | 75.8 | | | | Accuracy | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | α | β | Ave. | Best | Worst |
| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |
| 0.99 | 98.81 | 99.11 | 98.34 | | |
| | ρ | γ | Ave. | Best | Worst |
| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |
| 0.99 | 99.20 | 99.42 | 99.09 | | | | 0 |
| Method | Accuracy | |
| --- | --- | --- |
| CleanAudio | NoisyAudio | |
| MDAE | 94.4 | 77.3 | | | AudioRBM | 95.8 | 75.8 |
| --- | --- | --- |
| MDAE+AudioRBM | 94.4 | 82.2 |
| CorrRNN | 96.11 | 90.88 | | 1 |
| Method | Accuracy | |
| --- | --- | --- |
| CleanAudio | NoisyAudio | |
| MDAE | 94.4 | 77.3 | | | 0.99 | 98.81 | 99.11 | 98.34 | | |
| --- | --- | --- | --- | --- | --- |
| | ρ | γ | Ave. | Best | Worst |
| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |
| 0.99 | 99.20 | 99.42 | 99.09 | | | | 0 |
| Biometric<br>Traits | Accuracy | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | OverlapIOUThreshold | OverlapIOUThreshold | | | | | | |
| | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |
| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |
| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |
| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 | | | Palm | 99.66 | 99.52 | 98.33 | 98.14 | 98.00 | 96.83 | 97.80 | 97.66 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4Slap<br>Fingerprint | 99.74 | 96.94 | 84.38 | 99.24 | 96.46 | 83.95 | 98.70 | 95.93 |
| AllTraits | 99.00 | 96.62 | 90.53 | 98.51 | 96.14 | 90.08 | 97.97 | 95.61 | | 1 |
| Biometric<br>Traits | Accuracy | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | OverlapIOUThreshold | OverlapIOUThreshold | | | | | | |
| | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |
| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |
| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |
| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 | | | Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |
| HOG-LDA | 73.7 | 41.8 | 39.2 | 23.2 | 10.3 | 42.2 | 38.4 |
| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |
| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |
| PoseMachines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 | | 0 |
| Biometric<br>Traits | Accuracy | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | OverlapIOUThreshold | OverlapIOUThreshold | | | | | | |
| | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |
| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |
| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |
| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 | | | Palm | 99.66 | 99.52 | 98.33 | 98.14 | 98.00 | 96.83 | 97.80 | 97.66 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4Slap<br>Fingerprint | 99.74 | 96.94 | 84.38 | 99.24 | 96.46 | 83.95 | 98.70 | 95.93 |
| AllTraits | 99.00 | 96.62 | 90.53 | 98.51 | 96.14 | 90.08 | 97.97 | 95.61 | | 1 |
| Biometric<br>Traits | Accuracy | Precision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | OverlapIOUThreshold | OverlapIOUThreshold | | | | | | |
| | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |
| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |
| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |
| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 | | | Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |
| PoseMachines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 | | 0 |
| Database | CNN | Softmax | JSCL | STL | vMFML |
| --- | --- | --- | --- | --- | --- |
| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 | | | Casia | Res-27 | 97.40 | 98.87 | 98.13 | 99.18 |
| --- | --- | --- | --- | --- | --- |
| MSCeleb-1M | Res-27 | 98.50 | 99.28 | 98.83 | 99.63 |
| MSCeleb-1M | CasiaNet | 98.21 | 98.33 | 98.42 | 98.65 | | 1 |
| Database | CNN | Softmax | JSCL | STL | vMFML |
| --- | --- | --- | --- | --- | --- |
| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 | | | CNNsName | VGG-F | VGG-M | VGG-S | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |
| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |
| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |
| Classifier | SVMs | NB | RFT | NB | NB | RFT | kNN |
| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |
| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 | | 0 |
| Database | CNN | Softmax | JSCL | STL | vMFML |
| --- | --- | --- | --- | --- | --- |
| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 | | | Casia | Res-27 | 97.40 | 98.87 | 98.13 | 99.18 |
| --- | --- | --- | --- | --- | --- |
| MSCeleb-1M | Res-27 | 98.50 | 99.28 | 98.83 | 99.63 |
| MSCeleb-1M | CasiaNet | 98.21 | 98.33 | 98.42 | 98.65 | | 1 |
| Database | CNN | Softmax | JSCL | STL | vMFML |
| --- | --- | --- | --- | --- | --- |
| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 | | | Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 | | 0 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 150000 | 20000 | 30000 | 80000 |
| SlyDolce | 35000 | 5000 | 25000 | 15000 |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 |
| LyneWirl | 180000 | 100000 | 50000 | 70000 | | | JackFack | 200000 | 80000 | 40000 | 60000 |
| --- | --- | --- | --- | --- |
| FaridAl | 450000 | 150000 | 200000 | 100000 | | 1 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 150000 | 20000 | 30000 | 80000 |
| SlyDolce | 35000 | 5000 | 25000 | 15000 |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 |
| LyneWirl | 180000 | 100000 | 50000 | 70000 | | | Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 450000 | 80000 | 25000 | 60000 |
| Menwick | 50000 | 20000 | 20000 | 70000 |
| SarahDong | 180000 | 5000 | 5000 | 80000 |
| FaridAL | 45000 | 15000 | 500000 | 30000 |
| SlyDolce | 150000 | 150000 | 30000 | 10000 |
| LyneWirl | 200000 | 100000 | 250000 | 100000 |
| EddyEko | 35000 | 25000 | 10000 | 5000 |
| JackFack | 70000 | 35000 | 40000 | 15000 | | 0 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 150000 | 20000 | 30000 | 80000 |
| SlyDolce | 35000 | 5000 | 25000 | 15000 |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 | | | LyneWirl | 180000 | 100000 | 50000 | 70000 |
| --- | --- | --- | --- | --- |
| JackFack | 200000 | 80000 | 40000 | 60000 |
| FaridAl | 450000 | 150000 | 200000 | 100000 | | 1 |
| Names | Expected | January | February | March |
| --- | --- | --- | --- | --- |
| JeanKam | 150000 | 20000 | 30000 | 80000 |
| SlyDolce | 35000 | 5000 | 25000 | 15000 |
| Menwick | 70000 | 35000 | 5000 | 10000 |
| SarahDong | 45000 | 25000 | 10000 | 5000 |
| EddyEko | 50000 | 15000 | 20000 | 30000 | | | Menwick | 50000 | 20000 | 20000 | 70000 |
| --- | --- | --- | --- | --- |
| SarahDong | 180000 | 5000 | 5000 | 80000 |
| FaridAL | 45000 | 15000 | 500000 | 30000 |
| SlyDolce | 150000 | 150000 | 30000 | 10000 |
| LyneWirl | 200000 | 100000 | 250000 | 100000 |
| EddyEko | 35000 | 25000 | 10000 | 5000 |
| JackFack | 70000 | 35000 | 40000 | 15000 | | 0 |
| FilterShape |
| --- |
| 1×1×1 |
| 5×5×29 | | | 3×3×59 |
| --- |
| 3×3×74 |
| 1×300 |
| 1×300 |
| Classifier | | 1 |
| FilterShape |
| --- |
| 1×1×1 |
| 5×5×29 | | | FilterShape |
| --- |
| 3×3×51 |
| 3×3×46 |
| 3×3×55 |
| 3×3×85 |
| 3×3×16 |
| 3×3×84 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×16 |
| 3×3×84 | | 0 |
| FilterShape |
| --- |
| 1×1×1 |
| 5×5×29 |
| 3×3×59 |
| 3×3×74 |
| 1×300 | | | 1×300 |
| --- |
| Classifier | | 1 |
| FilterShape |
| --- |
| 1×1×1 |
| 5×5×29 |
| 3×3×59 |
| 3×3×74 |
| 1×300 | | | 3×3×126 |
| --- |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×16 |
| 3×3×84 | | 0 |
| TPKETime(ms) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |
| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 | | | 4 | 3 | 2 | 9.499 | 0.517 | 0.312 | 0.566 | 11.59 | 0.839 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | 3 | 2 | 68.08 | 1.311 | 0.797 | 1.318 | 34.53 | 1.890 | | 1 |
| TPKETime(ms) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |
| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 | | | | GradualandSharp | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video | TP | FP | FN | P | R | F |
| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |
| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |
| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |
| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |
| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |
| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |
| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |
| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |
| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |
| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |
| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |
| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |
| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |
| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |
| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |
| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |
| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |
| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 | | 0 |
| TPKETime(ms) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |
| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 | | | 4 | 3 | 2 | 9.499 | 0.517 | 0.312 | 0.566 | 11.59 | 0.839 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | 3 | 2 | 68.08 | 1.311 | 0.797 | 1.318 | 34.53 | 1.890 | | 1 |
| TPKETime(ms) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |
| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 | | | UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |
| --- | --- | --- | --- | --- | --- | --- |
| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 | | 0 |
| POSTag | POSTagDescription | OurGrouping |
| --- | --- | --- |
| CC | Coordinatingconjunction | conjunction |
| CD | Cardinalnumber | adjective |
| IN | Prepositionorsubordinatingconjunction | preposition |
| JJ | Adjective | adjective | | | NN | Noun,singularormass | noun |
| --- | --- | --- |
| NNS | Noun,plural | noun |
| NNP | Propernoun,singular | noun |
| NNPS | Propernoun,plural | noun |
| TO | to | preposition | | 1 |
| POSTag | POSTagDescription | OurGrouping |
| --- | --- | --- |
| CC | Coordinatingconjunction | conjunction |
| CD | Cardinalnumber | adjective |
| IN | Prepositionorsubordinatingconjunction | preposition |
| JJ | Adjective | adjective | | | Featurelabel | Description |
| --- | --- |
| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |
| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |
| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |
| depij | Alldependencyedgeswithtailinwandheadinwij |
| dir | Binaryfeaturewhichistrueiffi<j |
| r | Relationlabelanditsconjunctionwithallotherfeatures | | 0 |
| POSTag | POSTagDescription | OurGrouping |
| --- | --- | --- |
| CC | Coordinatingconjunction | conjunction |
| CD | Cardinalnumber | adjective | | | IN | Prepositionorsubordinatingconjunction | preposition |
| --- | --- | --- |
| JJ | Adjective | adjective |
| NN | Noun,singularormass | noun |
| NNS | Noun,plural | noun |
| NNP | Propernoun,singular | noun |
| NNPS | Propernoun,plural | noun |
| TO | to | preposition | | 1 |
| POSTag | POSTagDescription | OurGrouping |
| --- | --- | --- |
| CC | Coordinatingconjunction | conjunction |
| CD | Cardinalnumber | adjective | | | depij | Alldependencyedgeswithtailinwandheadinwij |
| --- | --- |
| dir | Binaryfeaturewhichistrueiffi<j |
| r | Relationlabelanditsconjunctionwithallotherfeatures | | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.