premise string | hypothesis string | label int64 |
|---|---|---|
| Step | Description | Time | Messages |
| --- | --- | --- | --- |
| ??,?? | BFSconvergecast | O(D) | O(m) |
| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |
| ??,?? | Localcomputation | 0 | none |
| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) | | | ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |
| --- | --- | --- | --- |
| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) | | 1 |
| Step | Description | Time | Messages |
| --- | --- | --- | --- |
| ??,?? | BFSconvergecast | O(D) | O(m) |
| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |
| ??,?? | Localcomputation | 0 | none |
| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) | | | MessageSize | iSense<br>TxRx | TelosB<br>TxRx | | |
| --- | --- | --- | --- | --- |
| 149bytes | 0.5mJ | 0.6mJ | 0.3mJ | 0.32mJ |
| 85bytes | 0.32mJ | 0.36mJ | 0.17mJ | 0.18mJ |
| 43bytes | 0.16mJ | 0.18mJ | 0.08mJ | 0.09mJ |
| 22bytes | 0.08mJ | 0.09mJ | 0.045mJ | 0.048mJ |
| 2bytes | 0.007mJ | 0.008mJ | 0.004mJ | 0.004mJ |
| 1byte | 0.003mJ | 0.004mJ | 0.002mJ | 0.002mJ | | 0 |
| Step | Description | Time | Messages |
| --- | --- | --- | --- |
| ??,?? | BFSconvergecast | O(D) | O(m) |
| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) | | | ??,?? | Localcomputation | 0 | none |
| --- | --- | --- | --- |
| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |
| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |
| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) | | 1 |
| Step | Description | Time | Messages |
| --- | --- | --- | --- |
| ??,?? | BFSconvergecast | O(D) | O(m) |
| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) | | | 2bytes | 0.007mJ | 0.008mJ | 0.004mJ | 0.004mJ |
| --- | --- | --- | --- | --- |
| 1byte | 0.003mJ | 0.004mJ | 0.002mJ | 0.002mJ | | 0 |
| Pid | Workshop | Block | Company | Country | Anchor | EstProd |
| --- | --- | --- | --- | --- | --- | --- |
| P130 | N | G | G | Ukraine | high | 100.0 |
| P334 | Y | I3 | I | Poland | high | 20.0 | | | P318 | Y | I3 | I | Poland | low | 1.5 |
| --- | --- | --- | --- | --- | --- | --- |
| P250 | N | K | K | Vietnam | low | 15.0 |
| P10 | N | A | A | Romania | high | 80.0 | | 1 |
| Pid | Workshop | Block | Company | Country | Anchor | EstProd |
| --- | --- | --- | --- | --- | --- | --- |
| P130 | N | G | G | Ukraine | high | 100.0 |
| P334 | Y | I3 | I | Poland | high | 20.0 | | | Code | Region | Numberofpatents |
| --- | --- | --- |
| WO | WorldIntellectualPropertyOrganization | 292 |
| EP | EuropeanPatentOffice | 163 |
| KR | RepublicofKorea | 51 |
| RU | RussianFederation | 5 |
| ZA | SouthAfrica | 3 |
| IL | Israel | 3 |
| ES | Spain | 3 |
| SG | Singapore | 2 |
| MX | Mexico | 1 | | 0 |
| Pid | Workshop | Block | Company | Country | Anchor | EstProd |
| --- | --- | --- | --- | --- | --- | --- |
| P130 | N | G | G | Ukraine | high | 100.0 |
| P334 | Y | I3 | I | Poland | high | 20.0 |
| P318 | Y | I3 | I | Poland | low | 1.5 | | | P250 | N | K | K | Vietnam | low | 15.0 |
| --- | --- | --- | --- | --- | --- | --- |
| P10 | N | A | A | Romania | high | 80.0 | | 1 |
| Pid | Workshop | Block | Company | Country | Anchor | EstProd |
| --- | --- | --- | --- | --- | --- | --- |
| P130 | N | G | G | Ukraine | high | 100.0 |
| P334 | Y | I3 | I | Poland | high | 20.0 |
| P318 | Y | I3 | I | Poland | low | 1.5 | | | ZA | SouthAfrica | 3 |
| --- | --- | --- |
| IL | Israel | 3 |
| ES | Spain | 3 |
| SG | Singapore | 2 |
| MX | Mexico | 1 | | 0 |
| mean |
| --- |
| percentageofthetailentries | | | percentageofthetailentries |
| --- |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| mean |
| mean |
| mean |
| mean | | 1 |
| mean |
| --- |
| percentageofthetailentries | | | Size(s) | True | False | Mis-<br>classified | Percentage |
| --- | --- | --- | --- | --- |
| 10 | 24 | 10 | 4 | 0.05 |
| 25 | 26 | 10 | 4 | 0.34 |
| 50 | 25 | 9 | 5 | 1.28 |
| 75 | 27 | 3 | 1 | 2.5 |
| 100 | 16 | 7 | 5 | 3.47 |
| 200 | 4 | 4 | 5 | 4.82 | | 0 |
| mean |
| --- |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| mean |
| mean | | | mean |
| --- |
| mean | | 1 |
| mean |
| --- |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| percentageofthetailentries |
| mean |
| mean | | | 75 | 27 | 3 | 1 | 2.5 |
| --- | --- | --- | --- | --- |
| 100 | 16 | 7 | 5 | 3.47 |
| 200 | 4 | 4 | 5 | 4.82 | | 0 |
| Parameters | Value |
| --- | --- |
| Inputdescriptionlength | 50words |
| Outputsummarylength | 15words | | | OptimizationMethod | StochasticGradientDescent<br>withmomentum |
| --- | --- |
| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |
| Batchsize | 128 |
| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] | | 1 |
| Parameters | Value |
| --- | --- |
| Inputdescriptionlength | 50words |
| Outputsummarylength | 15words | | | Parameters | Value |
| --- | --- |
| Maximumsentencelength | 15words |
| OptimizationMethod | Adam |
| Learningrate | 0.01 |
| Batchsize | 256 |
| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] | | 0 |
| Parameters | Value |
| --- | --- |
| Inputdescriptionlength | 50words |
| Outputsummarylength | 15words | | | OptimizationMethod | StochasticGradientDescent<br>withmomentum |
| --- | --- |
| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |
| Batchsize | 128 |
| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] | | 1 |
| Parameters | Value |
| --- | --- |
| Inputdescriptionlength | 50words |
| Outputsummarylength | 15words | | | Batchsize | 256 |
| --- | --- |
| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] | | 0 |
| radius | µ | σ | minl | Range | z-Score |
| --- | --- | --- | --- | --- | --- |
| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 | |
| 10 | 37.254 | 0.477 | 2574.705 | 24581.497 | |
| 15 | 37.085 | 0.493 | 2545.955 | 21959.001 | |
| 20 | 37.017 | 0.492 | 2545.129 | 24777.046 | | | | 25 | 37.024 | 0.556 | 2522.305 | 20564.370 |
| --- | --- | --- | --- | --- |
| 30 | 36.936 | 0.539 | 2491.717 | 17301.842 |
| 35 | 36.746 | 0.565 | 2519.519 | 21479.896 |
| 40 | 36.742 | 0.524 | 2500.805 | 17917.123 |
| 45 | 36.420 | 0.304 | 2503.719 | 18128.987 |
| 50 | 36.399 | 0.271 | 2502.738 | 21373.696 | | 1 |
| radius | µ | σ | minl | Range | z-Score |
| --- | --- | --- | --- | --- | --- |
| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 | |
| 10 | 37.254 | 0.477 | 2574.705 | 24581.497 | |
| 15 | 37.085 | 0.493 | 2545.955 | 21959.001 | |
| 20 | 37.017 | 0.492 | 2545.129 | 24777.046 | | | | Ent | ED | MI | | | |
| --- | --- | --- | --- | --- | --- |
| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |
| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |
| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |
| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |
| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |
| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |
| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |
| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |
| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |
| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |
| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 | | 0 |
| radius | µ | σ | minl | Range | z-Score |
| --- | --- | --- | --- | --- | --- |
| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 | | | | 10 | 37.254 | 0.477 | 2574.705 | 24581.497 |
| --- | --- | --- | --- | --- |
| 15 | 37.085 | 0.493 | 2545.955 | 21959.001 |
| 20 | 37.017 | 0.492 | 2545.129 | 24777.046 |
| 25 | 37.024 | 0.556 | 2522.305 | 20564.370 |
| 30 | 36.936 | 0.539 | 2491.717 | 17301.842 |
| 35 | 36.746 | 0.565 | 2519.519 | 21479.896 |
| 40 | 36.742 | 0.524 | 2500.805 | 17917.123 |
| 45 | 36.420 | 0.304 | 2503.719 | 18128.987 |
| 50 | 36.399 | 0.271 | 2502.738 | 21373.696 | | 1 |
| radius | µ | σ | minl | Range | z-Score |
| --- | --- | --- | --- | --- | --- |
| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 | | | | 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |
| --- | --- | --- | --- | --- | --- |
| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |
| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |
| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |
| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |
| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |
| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |
| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |
| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |
| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |
| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 | | 0 |
| statement<br>graphsH | type(H) | C(H),v=s(H) |
| --- | --- | --- |
| trivial | 1 | |
| sequence | 2 | 2\|\|C(N(v)) |
| if-then | 3 | 3\|\|C(N(v))\N(v))\|\|C(N(v)) |
| while | 4 | 4\|\|C(N(v)∩N(v))\|\|C(N(v)\N(v)) | | | repeat | 5 | 5\|\|C(N(v))\|\|C(N(v)\{v}) |
| --- | --- | --- |
| if-then-else | 6 | 6\|\|lex(C(N(v)))\|\|C(N(v)) |
| p-case | p+4 | p+4\|\|lex(C(N(v)))\|\|C(N(v)) | | 1 |
| statement<br>graphsH | type(H) | C(H),v=s(H) |
| --- | --- | --- |
| trivial | 1 | |
| sequence | 2 | 2\|\|C(N(v)) |
| if-then | 3 | 3\|\|C(N(v))\N(v))\|\|C(N(v)) |
| while | 4 | 4\|\|C(N(v)∩N(v))\|\|C(N(v)\N(v)) | | | Graphclass | Lowerbound | Complexity | Approximability | References |
| --- | --- | --- | --- | --- |
| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard | |
| Chordal | Θ(log(n)) | NP-c | log-APX-hard | |
| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard | |
| Bipartite | Θ(log(n)) | NP-c | log-APX-hard | |
| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard | |
| Claw-free | Θ(log(n)) | NP-c | log-APX-hard | |
| Interval | Θ(n) | NP-c | open | |
| Unitinterval | Θ(n) | open | PTAS | |
| Permutation | Θ(n) | NP-c | open | |
| Linegraphs | Θ(n) | NP-c | APX(4) | |
| Planar | Θ(n) | NP-c | APX(7) | | | 0 |
| statement<br>graphsH | type(H) | C(H),v=s(H) |
| --- | --- | --- |
| trivial | 1 | |
| sequence | 2 | 2\|\|C(N(v)) |
| if-then | 3 | 3\|\|C(N(v))\N(v))\|\|C(N(v)) |
| while | 4 | 4\|\|C(N(v)∩N(v))\|\|C(N(v)\N(v)) | | | repeat | 5 | 5\|\|C(N(v))\|\|C(N(v)\{v}) |
| --- | --- | --- |
| if-then-else | 6 | 6\|\|lex(C(N(v)))\|\|C(N(v)) |
| p-case | p+4 | p+4\|\|lex(C(N(v)))\|\|C(N(v)) | | 1 |
| statement<br>graphsH | type(H) | C(H),v=s(H) |
| --- | --- | --- |
| trivial | 1 | |
| sequence | 2 | 2\|\|C(N(v)) |
| if-then | 3 | 3\|\|C(N(v))\N(v))\|\|C(N(v)) |
| while | 4 | 4\|\|C(N(v)∩N(v))\|\|C(N(v)\N(v)) | | | Claw-free | Θ(log(n)) | NP-c | log-APX-hard | |
| --- | --- | --- | --- | --- |
| Interval | Θ(n) | NP-c | open | |
| Unitinterval | Θ(n) | open | PTAS | |
| Permutation | Θ(n) | NP-c | open | |
| Linegraphs | Θ(n) | NP-c | APX(4) | |
| Planar | Θ(n) | NP-c | APX(7) | | | 0 |
| Classifier | AreaUnderPrecision-RecallCurve | |
| --- | --- | --- |
| Class<30 | Class<30+Class>30 | |
| NaiveBayes | 0.214 | 0.63 | | | BayesNetwork | 0.208 | 0.637 |
| --- | --- | --- |
| RandomForest | 0.242 | 0.65 |
| AdaboostTrees | 0.167 | 0.569 |
| NeuralNetworks | 0.233 | 0.654 | | 1 |
| Classifier | AreaUnderPrecision-RecallCurve | |
| --- | --- | --- |
| Class<30 | Class<30+Class>30 | |
| NaiveBayes | 0.214 | 0.63 | | | Classifier | AreaunderROC | Accuracy |
| --- | --- | --- |
| AdaBoost | .9961 | 99.53 |
| Bayesian | .9078 | 92.08 |
| DecisionTree | .9877 | 99.22 |
| LogitBoost | .9986 | 99.22 |
| WeightedVoting | .9783 | 93.17 |
| Baseline | .8544 | 89.72 | | 0 |
| Classifier | AreaUnderPrecision-RecallCurve |
| --- | --- |
| Class<30 | Class<30+Class>30 | | | NaiveBayes | 0.214 | 0.63 |
| --- | --- | --- |
| BayesNetwork | 0.208 | 0.637 |
| RandomForest | 0.242 | 0.65 |
| AdaboostTrees | 0.167 | 0.569 |
| NeuralNetworks | 0.233 | 0.654 | | 1 |
| Classifier | AreaUnderPrecision-RecallCurve |
| --- | --- |
| Class<30 | Class<30+Class>30 | | | WeightedVoting | .9783 | 93.17 |
| --- | --- | --- |
| Baseline | .8544 | 89.72 | | 0 |
| GOPSize | Codingstructure |
| --- | --- |
| 1 | IPPPPPPPPPPPPPPPPP... |
| 2 | IBPBPBPBPBPBPBPBPB... | | | 4 | IBBBPBBBPBBBPBBBPB... |
| --- | --- |
| 8 | IBBBBBBBPBBBBBBBPB... |
| 16 | IBBBBBBBBBBBBBBBPB... | | 1 |
| GOPSize | Codingstructure |
| --- | --- |
| 1 | IPPPPPPPPPPPPPPPPP... |
| 2 | IBPBPBPBPBPBPBPBPB... | | | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| --- | --- | --- | --- | --- |
| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |
| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |
| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |
| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |
| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |
| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |
| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |
| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |
| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 | | 0 |
| GOPSize | Codingstructure |
| --- | --- |
| 1 | IPPPPPPPPPPPPPPPPP... |
| 2 | IBPBPBPBPBPBPBPBPB... | | | 4 | IBBBPBBBPBBBPBBBPB... |
| --- | --- |
| 8 | IBBBBBBBPBBBBBBBPB... |
| 16 | IBBBBBBBBBBBBBBBPB... | | 1 |
| GOPSize | Codingstructure |
| --- | --- |
| 1 | IPPPPPPPPPPPPPPPPP... |
| 2 | IBPBPBPBPBPBPBPBPB... | | | 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |
| --- | --- | --- | --- | --- |
| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |
| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 | | 0 |
| zω<br>value | LCHF-D | LCHF-RGBD | IHF-fixedsize(fs)<br>(InitReg) | IHF-fixedsize(fs)<br>(InitReg+Ref) |
| --- | --- | --- | --- | --- |
| | | | | |
| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |
| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |
| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 | | | 0.11 | 0.3991 | 0.4674 | 0.5140 | 0.5710 |
| --- | --- | --- | --- | --- |
| 0.13 | 0.4304 | 0.5246 | 0.5494 | 0.6091 |
| 0.15 | 0.4551 | 0.5500 | 0.5731 | 0.6388 | | 1 |
| zω<br>value | LCHF-D | LCHF-RGBD | IHF-fixedsize(fs)<br>(InitReg) | IHF-fixedsize(fs)<br>(InitReg+Ref) |
| --- | --- | --- | --- | --- |
| | | | | |
| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |
| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |
| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 | | | zω<br>value | LCHF-D | LCHF-RGBD | IHF-fixedsize(fs)<br>(InitReg) | IHF-fixedsize(fs)<br>(InitReg+Ref) |
| --- | --- | --- | --- | --- |
| | | | | |
| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |
| 0.07 | 0.5094 | 0.5067 | 0.2983 | 0.2811 |
| 0.09 | 0.7728 | 0.7439 | 0.3306 | 0.3819 |
| 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |
| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |
| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 | | 0 |
| zω<br>value | LCHF-D | LCHF-RGBD | IHF-fixedsize(fs)<br>(InitReg) | IHF-fixedsize(fs)<br>(InitReg+Ref) |
| --- | --- | --- | --- | --- |
| | | | | |
| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |
| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 | | | 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 |
| --- | --- | --- | --- | --- |
| 0.11 | 0.3991 | 0.4674 | 0.5140 | 0.5710 |
| 0.13 | 0.4304 | 0.5246 | 0.5494 | 0.6091 |
| 0.15 | 0.4551 | 0.5500 | 0.5731 | 0.6388 | | 1 |
| zω<br>value | LCHF-D | LCHF-RGBD | IHF-fixedsize(fs)<br>(InitReg) | IHF-fixedsize(fs)<br>(InitReg+Ref) |
| --- | --- | --- | --- | --- |
| | | | | |
| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |
| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 | | | 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |
| --- | --- | --- | --- | --- |
| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |
| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 | | 0 |
| GroupName | Configuration | OutputSize |
| --- | --- | --- |
| conv1 | conv,16channels | 32×32 |
| conv2 | block(d×16,k)×n | 32×32 |
| conv3(↓) | block(d×32,k)×n | 16×16 |
| conv4(↓) | block(d×64,k)×n | 8×8 | | | gap | globalaveragepooling | 1×1 |
| --- | --- | --- |
| fc | 10or100-waysoftmax | | | 1 |
| GroupName | Configuration | OutputSize |
| --- | --- | --- |
| conv1 | conv,16channels | 32×32 |
| conv2 | block(d×16,k)×n | 32×32 |
| conv3(↓) | block(d×32,k)×n | 16×16 |
| conv4(↓) | block(d×64,k)×n | 8×8 | | | Name | Kernel | OutputSize | Name | Kernel | OutputSize |
| --- | --- | --- | --- | --- | --- |
| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |
| pool1 | 2×2 | 160×224×64 | refine-1convs | 3×3 | 40×56×256 |
| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |
| pool2 | 2×2 | 80×112×128 | refine-2convs | 3×3 | 80×112×128 |
| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |
| pool3 | 2×2 | 40×56×256 | refine-3convs | 3×3 | 160×224×64 |
| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |
| pool4 | 2×2 | 20×28×512 | refine-4convs | 3×3 | 320×448×32 | | 0 |
| GroupName | Configuration | OutputSize |
| --- | --- | --- |
| conv1 | conv,16channels | 32×32 | | | conv2 | block(d×16,k)×n | 32×32 |
| --- | --- | --- |
| conv3(↓) | block(d×32,k)×n | 16×16 |
| conv4(↓) | block(d×64,k)×n | 8×8 |
| gap | globalaveragepooling | 1×1 |
| fc | 10or100-waysoftmax | | | 1 |
| GroupName | Configuration | OutputSize |
| --- | --- | --- |
| conv1 | conv,16channels | 32×32 | | | pool3 | 2×2 | 40×56×256 | refine-3convs | 3×3 | 160×224×64 |
| --- | --- | --- | --- | --- | --- |
| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |
| pool4 | 2×2 | 20×28×512 | refine-4convs | 3×3 | 320×448×32 | | 0 |
| FDTB(French) | | |
| --- | --- | --- |
| DC | Entropy | Frequency |
| effectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |
| AverageEntropy | 0.39 | | | | PDTB(English) | | |
| --- | --- | --- |
| DC | Entropy | Frequency |
| incontrast<br>asaresult<br>besides<br>...<br>ontheotherhand<br>particularly<br>upon | 1.00<br>1.00<br>1.00<br>...<br>0.00<br>0.00<br>0.00 | 22<br>135<br>32<br>...<br>28<br>130<br>41 |
| AverageEntropy | 0.51 | | | 1 |
| FDTB(French) | | |
| --- | --- | --- |
| DC | Entropy | Frequency |
| effectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |
| AverageEntropy | 0.39 | | | | GridSize | SampleCoefficient | Accuracy | timeAVR(secs) | timeSD(secs) |
| --- | --- | --- | --- | --- |
| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |
| 12<br>12<br>12<br>12 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.72<br>1.00 | 0.65<br>6.49<br>64.72<br>647.08 | 0.06<br>0.24<br>2.14<br>20.84 |
| 13<br>13<br>13<br>13 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.41<br>1.00 | 0.82<br>7.92<br>80.08<br>798.90 | 0.15<br>0.28<br>7.90<br>70.81 |
| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |
| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 | | 0 |
| FDTB(French) | | |
| --- | --- | --- |
| DC | Entropy | Frequency |
| effectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |
| AverageEntropy | 0.39 | | | | PDTB(English) | | |
| --- | --- | --- |
| DC | Entropy | Frequency |
| incontrast<br>asaresult<br>besides<br>...<br>ontheotherhand<br>particularly<br>upon | 1.00<br>1.00<br>1.00<br>...<br>0.00<br>0.00<br>0.00 | 22<br>135<br>32<br>...<br>28<br>130<br>41 |
| AverageEntropy | 0.51 | | | 1 |
| FDTB(French) | | |
| --- | --- | --- |
| DC | Entropy | Frequency |
| effectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |
| AverageEntropy | 0.39 | | | | 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |
| --- | --- | --- | --- | --- |
| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 | | 0 |
| Area(I) | Area(II) | Area(III) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
| 0.855 | 0.671 | - | - | - | - | - | | | 0.839 | 0.651 | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |
| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - |
| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |
| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 | | 1 |
| Area(I) | Area(II) | Area(III) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
| 0.855 | 0.671 | - | - | - | - | - | | | | HR | s=3 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 | | |
| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |
| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |
| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |
| | HR | s=6 | | | | | | |
| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 | | |
| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |
| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |
| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |
| | HR | s=12 | | | | | | |
| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 | | |
| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |
| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |
| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 | | 0 |
| Area(I) | Area(II) | Area(III) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
| 0.855 | 0.671 | - | - | - | - | - |
| 0.839 | 0.651 | - | - | - | - | - |
| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |
| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - | | | 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 | | 1 |
| Area(I) | Area(II) | Area(III) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
| 0.855 | 0.671 | - | - | - | - | - |
| 0.839 | 0.651 | - | - | - | - | - |
| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |
| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - | | | CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |
| | HR | s=12 | | | | | | |
| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 | | |
| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |
| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |
| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 | | 0 |
| Cat | Method | Feature | Metric |
| --- | --- | --- | --- |
| | | | | | | A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |
| --- | --- | --- | --- | --- | --- |
| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |
| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 | | 1 |
| Cat | Method | Feature | Metric |
| --- | --- | --- | --- |
| | | | | | | | CUHK01<br>VIPeRPRID<br>(N=871/485)t |
| --- | --- |
| SCSP<br>LSSCDL<br>TMA<br>(cid:96)1GL<br>SiameseLSTM | 53.5--<br>42.6--<br>43.8--<br>41.530.1-/50.1<br>42.4-- |
| MetricEnsemble<br>DNS | 45.9--<br>51.140.9-/69.0 |
| IDLA<br>DGD<br>MCP-CNN<br>GatedS-CNN<br>EDM<br>JointLearning<br>CAN | 34.8-65.0/47.5<br>38.664.0*-/66.6<br>47.822.0-/53.7<br>37.8--<br>40.9-86.6/-<br>35.8-72.5/-<br>--81.0/- |
| Ours | 56.343.693.2/77.0 | | 0 |
| Cat | Method | Feature | Metric |
| --- | --- | --- | --- |
| | | | | | | A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |
| --- | --- | --- | --- | --- | --- |
| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |
| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 | | 1 |
| Cat | Method | Feature | Metric |
| --- | --- | --- | --- |
| | | | | | | IDLA<br>DGD<br>MCP-CNN<br>GatedS-CNN<br>EDM<br>JointLearning<br>CAN | 34.8-65.0/47.5<br>38.664.0*-/66.6<br>47.822.0-/53.7<br>37.8--<br>40.9-86.6/-<br>35.8-72.5/-<br>--81.0/- |
| --- | --- |
| Ours | 56.343.693.2/77.0 | | 0 |
| PBSMT | | |
| --- | --- | --- |
| BLEU | RIBES | BLEU | | | 22.88 | 64.07 | 32.68 |
| --- | --- | --- |
| 29.51 | 77.20 | 28.91 |
| 29.16 | 76.39 | 29.01 | | 1 |
| PBSMT | | |
| --- | --- | --- |
| BLEU | RIBES | BLEU | | | FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |
| --- | --- | --- | --- |
| TS-SPL | 47.1 | 17.8 | 8.5 |
| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |
| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |
| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |
| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |
| SA | 175.1 | 204.5 | 223.3 |
| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |
| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |
| SHSSL | 75.4 | 30.8 | 12.7 |
| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) | | 0 |
| PBSMT | | |
| --- | --- | --- |
| BLEU | RIBES | BLEU |
| 22.88 | 64.07 | 32.68 | | | 29.51 | 77.20 | 28.91 |
| --- | --- | --- |
| 29.16 | 76.39 | 29.01 | | 1 |
| PBSMT | | |
| --- | --- | --- |
| BLEU | RIBES | BLEU |
| 22.88 | 64.07 | 32.68 | | | SHSSL | 75.4 | 30.8 | 12.7 |
| --- | --- | --- | --- |
| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) | | 0 |
| Freq | POSTag |
| --- | --- |
| 107,133 | NNEN |
| 97,681 | RBEN | | | 92,117 | NNPEN |
| --- | --- |
| 45,088 | JJEN |
| 27,442 | INEN |
| 20,158 | VBEN | | 1 |
| Freq | POSTag |
| --- | --- |
| 107,133 | NNEN |
| 97,681 | RBEN | | | Dice-coefficient | NameOne | NameTwo |
| --- | --- | --- |
| 0.7385 | baiden-amissah | tuzzolino |
| 0.7429 | castrechini | prawirohardjo |
| 0.7500 | eykhof | sliz |
| 0.7429 | keays | goeby |
| 0.7586 | lera | pagni |
| 0.7391 | tempalar | sedcole | | 0 |
| Freq | POSTag |
| --- | --- |
| 107,133 | NNEN |
| 97,681 | RBEN | | | 92,117 | NNPEN |
| --- | --- |
| 45,088 | JJEN |
| 27,442 | INEN |
| 20,158 | VBEN | | 1 |
| Freq | POSTag |
| --- | --- |
| 107,133 | NNEN |
| 97,681 | RBEN | | | 0.7586 | lera | pagni |
| --- | --- | --- |
| 0.7391 | tempalar | sedcole | | 0 |
| Languagemodel | PPL |
| --- | --- |
| RNN:2layers+wordinput(baseline) | 59.8 |
| LSTM:wordinputinforwarddirection | 54.4 |
| LSTM:wordinputinbackwarddirection | 53.4 | | | LSTM:lettertrigraminputinforwarddirection | 52.1 |
| --- | --- |
| LSTM:lettertrigraminputinbackwarddirection | 52.0 | | 1 |
| Languagemodel | PPL |
| --- | --- |
| RNN:2layers+wordinput(baseline) | 59.8 |
| LSTM:wordinputinforwarddirection | 54.4 |
| LSTM:wordinputinbackwarddirection | 53.4 | | | Languagemodel | PPL |
| --- | --- |
| lettertrigraminputwithonelayer(baseline) | 63.2 |
| +twohiddenlayers | 61.8 |
| +threehiddenlayers | 59.1 |
| +fourhiddenlayers | 59.6 |
| +fivehiddenlayers | 60.2 |
| +sixhiddenlayers | 63.7 | | 0 |
| Languagemodel | PPL |
| --- | --- |
| RNN:2layers+wordinput(baseline) | 59.8 |
| LSTM:wordinputinforwarddirection | 54.4 | | | LSTM:wordinputinbackwarddirection | 53.4 |
| --- | --- |
| LSTM:lettertrigraminputinforwarddirection | 52.1 |
| LSTM:lettertrigraminputinbackwarddirection | 52.0 | | 1 |
| Languagemodel | PPL |
| --- | --- |
| RNN:2layers+wordinput(baseline) | 59.8 |
| LSTM:wordinputinforwarddirection | 54.4 | | | +fourhiddenlayers | 59.6 |
| --- | --- |
| +fivehiddenlayers | 60.2 |
| +sixhiddenlayers | 63.7 | | 0 |
| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing | | |
| --- | --- | --- | --- | --- |
| Recall | Precision | Recall | Precision | Recall | | | 79 | 0.671 | 0.646 | 0.658 | 0.894 | 0.822 |
| --- | --- | --- | --- | --- | --- |
| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |
| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |
| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 | | 1 |
| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing | | |
| --- | --- | --- | --- | --- |
| Recall | Precision | Recall | Precision | Recall | | | | | Precision | Recall | F1 |
| --- | --- | --- | --- | --- |
| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |
| GS+EP | 65.93 | 79.96 | 72.27 | |
| Auto+EP | 64.40 | 51.68 | 57.34 | |
| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |
| GS+EP | 54.57 | 66.19 | 59.82 | |
| Auto+EP | 47.83 | 38.39 | 42.59 | | | 0 |
| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing | | |
| --- | --- | --- | --- | --- |
| Recall | Precision | Recall | Precision | Recall | | | 79 | 0.671 | 0.646 | 0.658 | 0.894 | 0.822 |
| --- | --- | --- | --- | --- | --- |
| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |
| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |
| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 | | 1 |
| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing | | |
| --- | --- | --- | --- | --- |
| Recall | Precision | Recall | Precision | Recall | | | Auto+EP | 64.40 | 51.68 | 57.34 | |
| --- | --- | --- | --- | --- |
| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |
| GS+EP | 54.57 | 66.19 | 59.82 | |
| Auto+EP | 47.83 | 38.39 | 42.59 | | | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 | | | 10000000<br>100000000<br>Gauss8388607<br>33554431 | 4.4395.230<br>52.63462.659<br>3.5504.536<br>16.58419.630 | 1.5892.85.378<br>12.9124.150.805<br>1.5342.35.220<br>5.1633.218.954 | 1.3703.2<br>5.3219.9<br>1.0723.3<br>3.2125.2 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |
| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.22310.144<br>51.52197.713<br>3.7136.778<br>16.56527.185<br>71.417174.611 | 7.3480.612.085<br>54.9250.984.106<br>3.1171.26.922<br>9.2731.821.357<br>78.1260.9123.443 | 2.7551.5<br>15.1963.4<br>1.9151.9<br>5.7092.9<br>29.0192.5 | | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 | | | TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |
| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2831.260<br>14.35613.994<br>1.0561.058<br>4.7344.503<br>19.99719.244 | 0.5032.61.341<br>3.5404.112.216<br>0.4782.21.055<br>1.3423.54.381<br>5.1603.916.887 | 0.6472.0<br>2.9024.9<br>0.5172.0<br>1.7992.6<br>4.7184.2 |
| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |
| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 | | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 | | | 10000000<br>100000000<br>Gauss8388607<br>33554431 | 4.4395.230<br>52.63462.659<br>3.5504.536<br>16.58419.630 | 1.5892.85.378<br>12.9124.150.805<br>1.5342.35.220<br>5.1633.218.954 | 1.3703.2<br>5.3219.9<br>1.0723.3<br>3.2125.2 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |
| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.22310.144<br>51.52197.713<br>3.7136.778<br>16.56527.185<br>71.417174.611 | 7.3480.612.085<br>54.9250.984.106<br>3.1171.26.922<br>9.2731.821.357<br>78.1260.9123.443 | 2.7551.5<br>15.1963.4<br>1.9151.9<br>5.7092.9<br>29.0192.5 | | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 | | | 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 | | 0 |
| Σ | Thesetofallpossibleeventtypes |
| --- | --- |
| Ej | Eventoftypej |
| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |
| mj | ThememorycostofkeepingeacheventoftypeEj |
| Q | Thesetofquerypatterns | | | Qi | Querypatterni |
| --- | --- |
| \|Q\|i | ThenumberofeventtypesinQi |
| wi | TheutilityweightassociatedwithQi |
| ni | ThenumberofmatchesofQinaunittimei |
| ci | TheCPUcostofproducingeachresultforQi |
| C | ThetotalCPUbudget |
| M | Thetotalmemorybudget |
| xj | ThebinaryselectiondecisionofeventEj |
| j | j |
| yi | TheselectiondecisionofqueryQi |
| i | i |
| p | Themaxnumberofqueriesthatoneeventtype<br>participatesin |
| f | Thefractionofmemorybudgetthatthelargest<br>queryconsumes |
| d | Themaximumnumberofeventtypesinanyone<br>query | | 1 |
| Σ | Thesetofallpossibleeventtypes |
| --- | --- |
| Ej | Eventoftypej |
| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |
| mj | ThememorycostofkeepingeacheventoftypeEj |
| Q | Thesetofquerypatterns | | | task,t,t12 | Onetaskofmatrixfactorizations |
| --- | --- |
| Nproc | Squarerootofthetotalnumberofprocesses |
| fl | ThelowestCPUfrequencysetbyDVFS |
| fh | ThehighestCPUfrequencysetbyDVFS |
| fopt | Optimalidealfrequencytofinishataskwithitsslackeliminated |
| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |
| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |
| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |
| CritPath | Onetasktracetofinishmatrixfactorizationswithzerototalslack |
| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |
| CurFreq | CurrentCPUfrequencyinuse |
| DoneFlag | Indicatorofthefinishofatask | | 0 |
| Σ | Thesetofallpossibleeventtypes |
| --- | --- |
| Ej | Eventoftypej |
| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |
| mj | ThememorycostofkeepingeacheventoftypeEj |
| Q | Thesetofquerypatterns |
| Qi | Querypatterni | | | \|Q\|i | ThenumberofeventtypesinQi |
| --- | --- |
| wi | TheutilityweightassociatedwithQi |
| ni | ThenumberofmatchesofQinaunittimei |
| ci | TheCPUcostofproducingeachresultforQi |
| C | ThetotalCPUbudget |
| M | Thetotalmemorybudget |
| xj | ThebinaryselectiondecisionofeventEj |
| j | j |
| yi | TheselectiondecisionofqueryQi |
| i | i |
| p | Themaxnumberofqueriesthatoneeventtype<br>participatesin |
| f | Thefractionofmemorybudgetthatthelargest<br>queryconsumes |
| d | Themaximumnumberofeventtypesinanyone<br>query | | 1 |
| Σ | Thesetofallpossibleeventtypes |
| --- | --- |
| Ej | Eventoftypej |
| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |
| mj | ThememorycostofkeepingeacheventoftypeEj |
| Q | Thesetofquerypatterns |
| Qi | Querypatterni | | | CritPath | Onetasktracetofinishmatrixfactorizationswithzerototalslack |
| --- | --- |
| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |
| CurFreq | CurrentCPUfrequencyinuse |
| DoneFlag | Indicatorofthefinishofatask | | 0 |
| Token | Dist-1 | Dist-2 | Dist-3 |
| --- | --- | --- | --- |
| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |
| Token | Dist-1 | Dist-2 | Dist-3 | | | 176.1K<br>124.5K<br>217.3K<br>467.6K<br>279.4K<br>383.6K | 0.6K<br>0.6K<br>0.7K<br>0.8K<br>1.6K<br>1.9K | 2.1K<br>1.9K<br>2.6K<br>3.6K<br>8.9K<br>11.7K | 3.5K<br>3.5K<br>4.6K<br>7.6K<br>18.4K<br>26.3K |
| --- | --- | --- | --- |
| Token | Dist-1 | Dist-2 | Dist-3 |
| 81.1K<br>97.9K<br>83.4K<br>112.2K<br>79.4K<br>97.3K | 1.4K<br>1.2K<br>1.4K<br>1.5K<br>1.9K<br>2.1K | 4.4K<br>3.9K<br>4.5K<br>5.2K<br>7.7K<br>10.8K | 6.3K<br>5.5K<br>6.5K<br>8.5K<br>11.4K<br>19.1K | | 1 |
| Token | Dist-1 | Dist-2 | Dist-3 |
| --- | --- | --- | --- |
| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |
| Token | Dist-1 | Dist-2 | Dist-3 | | | 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |
| --- | --- | --- |
| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |
| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| Token | Dist-1 | Dist-2 | Dist-3 |
| --- | --- | --- | --- |
| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |
| Token | Dist-1 | Dist-2 | Dist-3 |
| 176.1K<br>124.5K<br>217.3K<br>467.6K<br>279.4K<br>383.6K | 0.6K<br>0.6K<br>0.7K<br>0.8K<br>1.6K<br>1.9K | 2.1K<br>1.9K<br>2.6K<br>3.6K<br>8.9K<br>11.7K | 3.5K<br>3.5K<br>4.6K<br>7.6K<br>18.4K<br>26.3K | | | Token | Dist-1 | Dist-2 | Dist-3 |
| --- | --- | --- | --- |
| 81.1K<br>97.9K<br>83.4K<br>112.2K<br>79.4K<br>97.3K | 1.4K<br>1.2K<br>1.4K<br>1.5K<br>1.9K<br>2.1K | 4.4K<br>3.9K<br>4.5K<br>5.2K<br>7.7K<br>10.8K | 6.3K<br>5.5K<br>6.5K<br>8.5K<br>11.4K<br>19.1K | | 1 |
| Token | Dist-1 | Dist-2 | Dist-3 |
| --- | --- | --- | --- |
| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |
| Token | Dist-1 | Dist-2 | Dist-3 |
| 176.1K<br>124.5K<br>217.3K<br>467.6K<br>279.4K<br>383.6K | 0.6K<br>0.6K<br>0.7K<br>0.8K<br>1.6K<br>1.9K | 2.1K<br>1.9K<br>2.6K<br>3.6K<br>8.9K<br>11.7K | 3.5K<br>3.5K<br>4.6K<br>7.6K<br>18.4K<br>26.3K | | | 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |
| --- | --- | --- |
| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |
| 8 | 6.4582·10 | 6.4651·10 | | 0 |
| Name | Abbreviation | #ofinstances |
| --- | --- | --- |
| auctions/auc-paths | auc/paths | 86 | | | auctions/auc-scheduling | auc/sch | 84 |
| --- | --- | --- |
| CSG | csg | 10 |
| min-enc/planning | planning | 56 |
| min-enc/warehouses | warehouses | 18 |
| pseudo/miplib | miplib | 12 |
| random-net | rnd-net | 74 | | 1 |
| Name | Abbreviation | #ofinstances |
| --- | --- | --- |
| auctions/auc-paths | auc/paths | 86 | | | Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |
| --- | --- | --- | --- | --- | --- | --- | --- |
| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |
| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 |
| Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 |
| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |
| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |
| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |
| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |
| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 | | 0 |
| Name | Abbreviation | #ofinstances |
| --- | --- | --- |
| auctions/auc-paths | auc/paths | 86 | | | auctions/auc-scheduling | auc/sch | 84 |
| --- | --- | --- |
| CSG | csg | 10 |
| min-enc/planning | planning | 56 |
| min-enc/warehouses | warehouses | 18 |
| pseudo/miplib | miplib | 12 |
| random-net | rnd-net | 74 | | 1 |
| Name | Abbreviation | #ofinstances |
| --- | --- | --- |
| auctions/auc-paths | auc/paths | 86 | | | MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |
| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |
| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |
| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 | | 0 |
| Property | VultureHellionZealot |
| --- | --- |
| Hit-points | 8090100 |
| Damage | 201316 | | | AttackRange | 550.1 |
| --- | --- |
| Speed | 4.965.953.15 |
| Cool-down | 1.261.780.857 | | 1 |
| Property | VultureHellionZealot |
| --- | --- |
| Hit-points | 8090100 |
| Damage | 201316 | | | Topology | Size | Detection | Cost |
| --- | --- | --- | --- |
| Ring | 9 | nodetection | 0.050 |
| outlier | 0.276 | | |
| fault | 0.921 | | |
| 25 | nodetection | 0.101 | |
| outlier | 1.131 | | |
| fault | 3.286 | | |
| Torus | 9 | nodetection | 0.027 |
| outlier | 0.121 | | |
| fault | 1.327 | | |
| 25 | nodetection | 0.043 | |
| outlier | 0.567 | | |
| fault | 6.055 | | |
| Petersen | 10 | nodetection | 0.005 |
| outlier | 0.135 | | |
| fault | 0.597 | | |
| Random | 10 | nodetection | 0.013 |
| outlier | 0.290 | | |
| fault | 1.268 | | | | 0 |
| Property | VultureHellionZealot |
| --- | --- |
| Hit-points | 8090100 | | | Damage | 201316 |
| --- | --- |
| AttackRange | 550.1 |
| Speed | 4.965.953.15 |
| Cool-down | 1.261.780.857 | | 1 |
| Property | VultureHellionZealot |
| --- | --- |
| Hit-points | 8090100 | | | fault | 0.921 | | |
| --- | --- | --- | --- |
| 25 | nodetection | 0.101 | |
| outlier | 1.131 | | |
| fault | 3.286 | | |
| Torus | 9 | nodetection | 0.027 |
| outlier | 0.121 | | |
| fault | 1.327 | | |
| 25 | nodetection | 0.043 | |
| outlier | 0.567 | | |
| fault | 6.055 | | |
| Petersen | 10 | nodetection | 0.005 |
| outlier | 0.135 | | |
| fault | 0.597 | | |
| Random | 10 | nodetection | 0.013 |
| outlier | 0.290 | | |
| fault | 1.268 | | | | 0 |
| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |
| --- | --- | --- | --- |
| rmat20 | 1.05 | 8.26 | 1,1818177.40 | | | road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |
| --- | --- | --- | --- |
| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |
| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 | | 1 |
| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |
| --- | --- | --- | --- |
| rmat20 | 1.05 | 8.26 | 1,1818177.40 | | | Program(n) | StartGraph<br>(nodes/edges) | FinalGraph<br>(nodes/edges) | LTLDeadlock | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | | | | |
| DPE(2)<br>DPE(5) | 326/496<br>326/496 | 362/582<br>389/653 | 1.10<br>32.37 | 824/838<br>20,428/20,906 | 1.18<br>29.10 | 824/838<br>20,428/20,906 |
| DPB(2)<br>DPB(5) | 322/488<br>322/488 | 378/644<br>447/836 | 0.84<br>175 | 708/712<br>74,942/77,378 | 1.33<br>204 | 1,108/1,134<br>122,714/127,425 |
| PC(5)<br>PC(20) | 371/563<br>371/563 | 393/621<br>393/621 | 3.51<br>12.98 | 2,152/2,194<br>8,362/8,539 | 3.30<br>12.84 | 2,152/2,194<br>8,362/8,539 |
| DS(2,2,2)<br>DS(2,3,2)<br>DS(2,4,1) | 440/668<br>441/668<br>441/668 | 470/749<br>478/769<br>486/789 | 11.48<br>388<br>2,448 | 5,976/6,081<br>103,190/106,260<br>396,011/414,462 | 10.82<br>256<br>941 | 5,976/6,081<br>103,190/106,260<br>306,401/319,018 |
| CS | 559/866 | 608/1000 | 417 | 65,275/70,008 | 370 | 65,275/70,008 | | 0 |
| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |
| --- | --- | --- | --- |
| rmat20 | 1.05 | 8.26 | 1,1818177.40 |
| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 | | | ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |
| --- | --- | --- | --- |
| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 | | 1 |
| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |
| --- | --- | --- | --- |
| rmat20 | 1.05 | 8.26 | 1,1818177.40 |
| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 | | | DS(2,2,2)<br>DS(2,3,2)<br>DS(2,4,1) | 440/668<br>441/668<br>441/668 | 470/749<br>478/769<br>486/789 | 11.48<br>388<br>2,448 | 5,976/6,081<br>103,190/106,260<br>396,011/414,462 | 10.82<br>256<br>941 | 5,976/6,081<br>103,190/106,260<br>306,401/319,018 |
| --- | --- | --- | --- | --- | --- | --- |
| CS | 559/866 | 608/1000 | 417 | 65,275/70,008 | 370 | 65,275/70,008 | | 0 |
| Sen | Hu | Kalantari | OursUnet |
| --- | --- | --- | --- |
| 40.80 | 35.79 | 42.70 | 40.81 | | | 0.9808 | 0.9717 | 0.9877 | 0.9844 |
| --- | --- | --- | --- |
| 38.11 | 30.76 | 41.22 | 40.52 |
| 0.9721 | 0.9503 | 0.9845 | 0.9837 |
| 59.38 | 57.05 | 63.98 | 64.88 | | 1 |
| Sen | Hu | Kalantari | OursUnet |
| --- | --- | --- | --- |
| 40.80 | 35.79 | 42.70 | 40.81 | | | Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |
| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |
| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |
| | | | | | | | | | | | | |
| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |
| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |
| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |
| | | | | | | | | | | | | |
| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |
| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |
| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 | | 0 |
| Sen | Hu | Kalantari | OursUnet |
| --- | --- | --- | --- |
| 40.80 | 35.79 | 42.70 | 40.81 |
| 0.9808 | 0.9717 | 0.9877 | 0.9844 |
| 38.11 | 30.76 | 41.22 | 40.52 | | | 0.9721 | 0.9503 | 0.9845 | 0.9837 |
| --- | --- | --- | --- |
| 59.38 | 57.05 | 63.98 | 64.88 | | 1 |
| Sen | Hu | Kalantari | OursUnet |
| --- | --- | --- | --- |
| 40.80 | 35.79 | 42.70 | 40.81 |
| 0.9808 | 0.9717 | 0.9877 | 0.9844 |
| 38.11 | 30.76 | 41.22 | 40.52 | | | eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |
| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |
| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 | | 0 |
| Metrics | Fenda | Whale |
| --- | --- | --- |
| CL.1CL.2CL.3 | CL.1CL.2CL.3 | | | | Avg.#Followers | 627.6749.5951.4 | 508.71358.11687.1 |
| --- | --- | --- |
| Avg.#Listeners | 16.627.025.9 | 43.568.162.6 |
| Avg.Price($) | 1.72.42.6 | 0.21.30.7 |
| Avg.#Questions | 106.568.871.4 | 41.617.7112.4 | | 1 |
| Metrics | Fenda | Whale |
| --- | --- | --- |
| CL.1CL.2CL.3 | CL.1CL.2CL.3 | | | | Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |
| X\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |
| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |
| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |
| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 | | 0 |
| Metrics | Fenda | Whale |
| --- | --- | --- |
| CL.1CL.2CL.3 | CL.1CL.2CL.3 | | | | Avg.#Followers | 627.6749.5951.4 | 508.71358.11687.1 |
| --- | --- | --- |
| Avg.#Listeners | 16.627.025.9 | 43.568.162.6 |
| Avg.Price($) | 1.72.42.6 | 0.21.30.7 |
| Avg.#Questions | 106.568.871.4 | 41.617.7112.4 | | 1 |
| Metrics | Fenda | Whale |
| --- | --- | --- |
| CL.1CL.2CL.3 | CL.1CL.2CL.3 | | | | X\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |
| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |
| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 | | 0 |
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