premise string | hypothesis string | label int64 |
|---|---|---|
| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |
| --- | --- | --- | --- | --- |
| Ev101 | BirthdayParty | 237 | 6 | 5 |
| Ev102 | FlashMob | 150 | 33 | 4 |
| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |
| Ev104 | Parade | 230 | 4 | 4 | | | Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |
| --- | --- | --- | --- | --- |
| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |
| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |
| Ev108 | PersonLandingaFish | 143 | 15 | 9 |
| Ev109 | WeddingCeremony | 219 | 2 | 6 |
| Ev110 | WorkingonaWoodworkingProject | 15... | 1 |
| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |
| --- | --- | --- | --- | --- |
| Ev101 | BirthdayParty | 237 | 6 | 5 |
| Ev102 | FlashMob | 150 | 33 | 4 |
| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |
| Ev104 | Parade | 230 | 4 | 4 | | | Event | StringsExcluded | #ofVideoswith<br>ThoseStrings |
| --- | --- | --- |
| BirthdayParty | anniversaire,birthday,complea,geburtstag | 339 |
| Parade | parada,parade | 192 |
| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |
| PersonHand-FeedinganAnimal | fed,feed | 180 |
| Weddin... | 0 |
| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |
| --- | --- | --- | --- | --- |
| Ev101 | BirthdayParty | 237 | 6 | 5 |
| Ev102 | FlashMob | 150 | 33 | 4 |
| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |
| Ev104 | Parade | 230 | 4 | 4 |
| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 ... | | Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |
| --- | --- | --- | --- | --- |
| | Total | 1823 | 115 | 62 | | 1 |
| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |
| --- | --- | --- | --- | --- |
| Ev101 | BirthdayParty | 237 | 6 | 5 |
| Ev102 | FlashMob | 150 | 33 | 4 |
| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |
| Ev104 | Parade | 230 | 4 | 4 |
| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 ... | | Parade | parada,parade | 192 |
| --- | --- | --- |
| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |
| PersonHand-FeedinganAnimal | fed,feed | 180 |
| WeddingCeremony | hochzeit,mariage,marriage,wedding | 213 | | 0 |
| Dataset | #triples | ntFileSize |
| --- | --- | --- |
| LUBM1K | 133M | 22GB |
| LUBM2K | 267M | 43GB | | | LUBM10K | 1,334M | 213GB |
| --- | --- | --- |
| Wikidata | 233M | 37GB | | 1 |
| Dataset | #triples | ntFileSize |
| --- | --- | --- |
| LUBM1K | 133M | 22GB |
| LUBM2K | 267M | 43GB | | | FileSize(MB) | No.OfAttackers | TrafficVol. |
| --- | --- | --- |
| 10 | 100 | 0.22GB |
| 50 | 500 | 0.67GB |
| 100 | 1500 | 1.67GB |
| 200 | 2000 | 3.23GB |
| 400 | 4000 | 5.91GB |
| 600 | 6000 | 9.14GB |
| 800 | 8000 | 12.37GB |
| 1000 | 10,000 | 15.83GB | | 0 |
| Dataset | #triples | ntFileSize |
| --- | --- | --- |
| LUBM1K | 133M | 22GB | | | LUBM2K | 267M | 43GB |
| --- | --- | --- |
| LUBM10K | 1,334M | 213GB |
| Wikidata | 233M | 37GB | | 1 |
| Dataset | #triples | ntFileSize |
| --- | --- | --- |
| LUBM1K | 133M | 22GB | | | 50 | 500 | 0.67GB |
| --- | --- | --- |
| 100 | 1500 | 1.67GB |
| 200 | 2000 | 3.23GB |
| 400 | 4000 | 5.91GB |
| 600 | 6000 | 9.14GB |
| 800 | 8000 | 12.37GB |
| 1000 | 10,000 | 15.83GB | | 0 |
| UDC | MSDialog |
| --- | --- |
| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |
| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 | | | 0.66200.82920.52890.6554 | 0.44190.64230.26520.3970 |
| --- | --- |
| 0.68550.89780.53500.6959 | 0.53980.86620.31890.5413 |
| 0.66110.89360.49730.6733 | 0.50590.85160.27680.5000 |
| 0.67490.87760.52870.6773 | 0.57040.90030.35070.5854 |
| 0.56920.82720.47560.5592 | 0.51580.84810.29340.5046 |
| 0.73270.92730.59480.7523... | 1 |
| UDC | MSDialog |
| --- | --- |
| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |
| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 | | | measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.45... | 0 |
| UDC | MSDialog |
| --- | --- |
| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |
| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 |
| 0.66200.82920.52890.6554 | 0.44190.64230.26520.3970 |
| 0.68550.89780.53500.6959 | 0.53980.86620.31890.5413 |
| 0.66110.89360.49730.6733 | 0.50590.85160.27680.5000 |
|... | | ‡‡‡‡<br>0.76550.93510.64430.7841 | ‡‡‡‡<br>0.67280.93040.49080.7089 |
| --- | --- |
| 0.77190.93430.65520.7893 | 0.67920.93560.50210.7122 | | 1 |
| UDC | MSDialog |
| --- | --- |
| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |
| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 |
| 0.66200.82920.52890.6554 | 0.44190.64230.26520.3970 |
| 0.68550.89780.53500.6959 | 0.53980.86620.31890.5413 |
| 0.66110.89360.49730.6733 | 0.50590.85160.27680.5000 |
|... | | RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 0 |
| Country | dataset | dataset | | |
| --- | --- | --- | --- | --- |
| - | ρ | p-value | ρ | p-value |
| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |
| Australia | 0.32 | 0.23 | 0.60 | 0.02 |
| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |
| Chile | 0.32 | 0.23 | 0.53 | 0.04 |
| England | 0.87 | 0 | 0.70 | 0.004 |
| France | 0.... | | Japan | 0.38 | 0.15 | 0.39 | 0.13 |
| --- | --- | --- | --- | --- |
| Korea | 0.68 | 0.004 | 0.45 | 0.08 |
| Malaysia | -0.16 | 0.54 | 0.11 | 0.68 |
| Mexico | 0.55 | 0.03 | 0.71 | 0.003 |
| Russia | 0.78 | 0.0006 | 0.76 | 0.001 |
| Singapore | 0.34 | 0.20 | 0.65 | 0.008 |
| Spain | 0.78 | 0.0005 | 0.75 | 0.001 |
| T... | 1 |
| Country | dataset | dataset | | |
| --- | --- | --- | --- | --- |
| - | ρ | p-value | ρ | p-value |
| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |
| Australia | 0.32 | 0.23 | 0.60 | 0.02 |
| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |
| Chile | 0.32 | 0.23 | 0.53 | 0.04 |
| England | 0.87 | 0 | 0.70 | 0.004 |
| France | 0.... | | 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 ... | 0 |
| Country | dataset | dataset | | |
| --- | --- | --- | --- | --- |
| - | ρ | p-value | ρ | p-value |
| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |
| Australia | 0.32 | 0.23 | 0.60 | 0.02 |
| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |
| Chile | 0.32 | 0.23 | 0.53 | 0.04 |
| England | 0.87 | 0 | 0.70 | 0.004 |
| France | 0.... | | Mexico | 0.55 | 0.03 | 0.71 | 0.003 |
| --- | --- | --- | --- | --- |
| Russia | 0.78 | 0.0006 | 0.76 | 0.001 |
| Singapore | 0.34 | 0.20 | 0.65 | 0.008 |
| Spain | 0.78 | 0.0005 | 0.75 | 0.001 |
| Turkey | -0.18 | 0.50 | -0.31 | 0.24 |
| USA | 0.70 | 0.004 | 0.67 | 0.005 | | 1 |
| Country | dataset | dataset | | |
| --- | --- | --- | --- | --- |
| - | ρ | p-value | ρ | p-value |
| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |
| Australia | 0.32 | 0.23 | 0.60 | 0.02 |
| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |
| Chile | 0.32 | 0.23 | 0.53 | 0.04 |
| England | 0.87 | 0 | 0.70 | 0.004 |
| France | 0.... | | 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 |
| | | | | | | | | | ... | 0 |
| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |
| --- | --- | --- | --- | --- | --- | --- |
| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |
| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |
| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |
| sample03 | 0.028 | 0.406 | 0... | | sample17 | 0.027 | 0.527 | 0.231 | 0.271 | 0.555 | 0.736 |
| --- | --- | --- | --- | --- | --- | --- |
| sample18 | 0.022 | 0.423 | 0.157 | 0.198 | 0.327 | 0.442 |
| sample19 | 0.065 | 0.286 | 0.06 | 0.103 | 0.159 | 0.24 |
| sample20 | 0.123 | 0.423 | 0.123 | 0.175 | 0.363 | 0.582 |
| sample21 | 0.16 | 0.374 | 0.118 ... | 1 |
| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |
| --- | --- | --- | --- | --- | --- | --- |
| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |
| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |
| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |
| sample03 | 0.028 | 0.406 | 0... | | Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |
| --- | --- | --- | --- | --- | --- | --- |
| sample00 | -0.01620 | 0.15105 | -0.01912 | -0.02068 | 0.09810 | 0.16031 |
| sample01 | -0.02883 | 0.10282 | -0.05274 | -0.05878 | -0.00154 | -0.01592 |
| sample02 | -0.00547 | 0.13573 | -0.03199 | -0.03077 | 0.... | 0 |
| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |
| --- | --- | --- | --- | --- | --- | --- |
| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |
| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |
| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |
| sample03 | 0.028 | 0.406 | 0... | | sample13 | 0.015 | 0.38 | 0.142 | 0.134 | 0.338 | 0.435 |
| --- | --- | --- | --- | --- | --- | --- |
| sample14 | 0.017 | 0.381 | 0.215 | 0.163 | 0.564 | 0.69 |
| sample15 | 0.064 | 0.409 | 0.174 | 0.185 | 0.563 | 0.704 |
| sample16 | 0.024 | 0.257 | 0.082 | 0.101 | 0.216 | 0.353 |
| sample17 | 0.027 | 0.527 | 0.231... | 1 |
| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |
| --- | --- | --- | --- | --- | --- | --- |
| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |
| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |
| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |
| sample03 | 0.028 | 0.406 | 0... | | sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |
| --- | --- | --- | --- | --- | --- | --- |
| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |
| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |
| sample10 | -0.04026 | 0.08053 | -0.11124 | ... | 0 |
| Numberofauthors | 343055 |
| --- | --- |
| Numberofpapers | 399713 |
| Averagenumberofpapersbyanauthor | 9.07 |
| Averagenumberofauthorsperpaper | 7.59 |
| AveragenumberofPACScodesperauthor | 10.04 | | | AveragenumberofPACScodesperpaper | 2.92 |
| --- | --- |
| Averagediversityofauthor | 13.16 |
| Averagediversityofpaper | 3.59 |
| Averagecitationperpaper | 10.22 | | 1 |
| Numberofauthors | 343055 |
| --- | --- |
| Numberofpapers | 399713 |
| Averagenumberofpapersbyanauthor | 9.07 |
| Averagenumberofauthorsperpaper | 7.59 |
| AveragenumberofPACScodesperauthor | 10.04 | | | | Individualusersgroup |
| --- | --- |
| Totalnumberoftweets | 119,376 |
| Totalnumberofuniqueaccounts | 80,537 |
| Totalnumberoftokens | 1,837,304 |
| Averagenumberoftokenspertweet | 15.391 |
| Totalnumberofuniquetokens | 103,089 |
| Averagenumberofuniquetokenspertweet | 0.864 |
| Uniquetokens:tokensratio | 0.056 |... | 0 |
| Numberofauthors | 343055 |
| --- | --- |
| Numberofpapers | 399713 |
| Averagenumberofpapersbyanauthor | 9.07 |
| Averagenumberofauthorsperpaper | 7.59 | | | AveragenumberofPACScodesperauthor | 10.04 |
| --- | --- |
| AveragenumberofPACScodesperpaper | 2.92 |
| Averagediversityofauthor | 13.16 |
| Averagediversityofpaper | 3.59 |
| Averagecitationperpaper | 10.22 | | 1 |
| Numberofauthors | 343055 |
| --- | --- |
| Numberofpapers | 399713 |
| Averagenumberofpapersbyanauthor | 9.07 |
| Averagenumberofauthorsperpaper | 7.59 | | | Averagenumberofuniquetokenspertweet | 0.864 |
| --- | --- |
| Uniquetokens:tokensratio | 0.056 |
| Numberofhapaxlegomena | 69,542 |
| Averagenumberofhapaxlegomenapertweet | 0.583 | | 0 |
| RNN<br>R@10R@50 |
| --- |
| 0.0310.061 |
| 0.0950.156 |
| 0.0500.089 | | | 0.0410.060 |
| --- |
| 0.0830.144 | | 1 |
| RNN<br>R@10R@50 |
| --- |
| 0.0310.061 |
| 0.0950.156 |
| 0.0500.089 | | | System | Approach | Rank | Acc | L2 |
| --- | --- | --- | --- | --- |
| Baseline* | Rule | 6 | 0.575 | 0.691 |
| | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |
| | RealCMBP | 1.5 | 0.634 | 0.579 |
| RPN | RPN | 0.5 | 0.650 | 0.549 | | 0 |
| RNN<br>R@10R@50 |
| --- |
| 0.0310.061 |
| 0.0950.156 |
| 0.0500.089 | | | 0.0410.060 |
| --- |
| 0.0830.144 | | 1 |
| RNN<br>R@10R@50 |
| --- |
| 0.0310.061 |
| 0.0950.156 |
| 0.0500.089 | | | | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |
| --- | --- | --- | --- | --- |
| | RealCMBP | 1.5 | 0.634 | 0.579 |
| RPN | RPN | 0.5 | 0.650 | 0.549 | | 0 |
| IGTsite | WorkerCPU | CPUSpeed | OS |
| --- | --- | --- | --- |
| Caltech | 40 | 0.8GHz | RedHat6.X |
| Caltech | 40 | 2.4GHz | RedHat7.X |
| Fermilab | 80 | 0.75GHz | RedHat6.X |
| UniversityofFlorida | 80 | 1GHz | RedHat6.X |
| UCSanDiego | 40 | 0.8GHz | RedHat6.X |
| UCSanDiego | 40 | 2.4GHz | RedHat7.X | | | CERN | 72 | 2.4GHz | RedHat7.X |
| --- | --- | --- | --- |
| UWMadison | 0 | N/A | ProvidedimportantSWsupport | | 1 |
| IGTsite | WorkerCPU | CPUSpeed | OS |
| --- | --- | --- | --- |
| Caltech | 40 | 0.8GHz | RedHat6.X |
| Caltech | 40 | 2.4GHz | RedHat7.X |
| Fermilab | 80 | 0.75GHz | RedHat6.X |
| UniversityofFlorida | 80 | 1GHz | RedHat6.X |
| UCSanDiego | 40 | 0.8GHz | RedHat6.X |
| UCSanDiego | 40 | 2.4GHz | RedHat7.X | | | Work | Network | Clock | Speedup | Baseline |
| --- | --- | --- | --- | --- |
| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |
| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |
| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |
| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |
| DLAU | 256×256 | 200MHz | 36.... | 0 |
| IGTsite | WorkerCPU | CPUSpeed | OS |
| --- | --- | --- | --- |
| Caltech | 40 | 0.8GHz | RedHat6.X |
| Caltech | 40 | 2.4GHz | RedHat7.X |
| Fermilab | 80 | 0.75GHz | RedHat6.X | | | UniversityofFlorida | 80 | 1GHz | RedHat6.X |
| --- | --- | --- | --- |
| UCSanDiego | 40 | 0.8GHz | RedHat6.X |
| UCSanDiego | 40 | 2.4GHz | RedHat7.X |
| CERN | 72 | 2.4GHz | RedHat7.X |
| UWMadison | 0 | N/A | ProvidedimportantSWsupport | | 1 |
| IGTsite | WorkerCPU | CPUSpeed | OS |
| --- | --- | --- | --- |
| Caltech | 40 | 0.8GHz | RedHat6.X |
| Caltech | 40 | 2.4GHz | RedHat7.X |
| Fermilab | 80 | 0.75GHz | RedHat6.X | | | DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |
| --- | --- | --- | --- | --- |
| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |
| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 | | 0 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
... | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| --- |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| ... | 1 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
... | | -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
... | 0 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
... | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| --- |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
... | | -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| --- |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 ... | 0 |
| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |
| --- | --- | --- | --- | --- |
| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |
| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |
| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 | | | NESP | 360.1 | 0.642 | 345.2 | 0.6484 |
| --- | --- | --- | --- | --- |
| PLT | 392.1 | 0.6237 | 375.3 | 0.6311 |
| MAPS | 421.8 | 0.6274 | 406 | 0.6329 |
| PIONEER | 479.8 | 0.537 | 426.8 | 0.5571 | | 1 |
| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |
| --- | --- | --- | --- | --- |
| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |
| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |
| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 | | | Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |
| --- | --- | --- | --- | --- |
| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |
| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |
| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |
| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 | | 0 |
| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |
| --- | --- | --- | --- | --- |
| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |
| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |
| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |
| NESP | 360.1 | 0.642 | 345.2 | 0.6484 | | | PLT | 392.1 | 0.6237 | 375.3 | 0.6311 |
| --- | --- | --- | --- | --- |
| MAPS | 421.8 | 0.6274 | 406 | 0.6329 |
| PIONEER | 479.8 | 0.537 | 426.8 | 0.5571 | | 1 |
| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |
| --- | --- | --- | --- | --- |
| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |
| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |
| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |
| NESP | 360.1 | 0.642 | 345.2 | 0.6484 | | | NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |
| --- | --- | --- | --- | --- |
| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 | | 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 |
| No. | String | Probabilityofoccurrence |
| --- | --- | --- |
| 0 | 000 | 0.133567088 |
| 1 | 001 | 0.122682815 |
| 2 | 010 | 0.130448785 | | | 3 | 011 | 0.119522821 |
| --- | --- | --- |
| 4 | 100 | 0.122658224 |
| 5 | 101 | 0.127181921 |
| 6 | 110 | 0.119505945 |
| 7 | 111 | 0.1244324 | | 1 |
| No. | String | Probabilityofoccurrence |
| --- | --- | --- |
| 0 | 000 | 0.133567088 |
| 1 | 001 | 0.122682815 |
| 2 | 010 | 0.130448785 | | | Object | Probabilityofco-occurrence |
| --- | --- |
| Man | 0.240 |
| Road | 0.151 |
| Sign | 0.074 |
| Sidewalk | 0.051 |
| Traffic | 0.076 | | 0 |
| No. | String | Probabilityofoccurrence |
| --- | --- | --- |
| 0 | 000 | 0.133567088 |
| 1 | 001 | 0.122682815 |
| 2 | 010 | 0.130448785 | | | 3 | 011 | 0.119522821 |
| --- | --- | --- |
| 4 | 100 | 0.122658224 |
| 5 | 101 | 0.127181921 |
| 6 | 110 | 0.119505945 |
| 7 | 111 | 0.1244324 | | 1 |
| No. | String | Probabilityofoccurrence |
| --- | --- | --- |
| 0 | 000 | 0.133567088 |
| 1 | 001 | 0.122682815 |
| 2 | 010 | 0.130448785 | | | Sign | 0.074 |
| --- | --- |
| Sidewalk | 0.051 |
| Traffic | 0.076 | | 0 |
| Method | Precision | Recall | F1-score |
| --- | --- | --- | --- |
| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 | | | AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 |
| --- | --- | --- | --- |
| HyMap | 0.6851 | 0.8600 | 0.7626 |
| ConvNetCNN3 | 0.856 | 0.867 | 0.8615 |
| MCTA | 0.8701 | 0.8834 | 0.8767 |
| TVIA | 0.8224 | 0.8641 | 0.8427 | | 1 |
| Method | Precision | Recall | F1-score |
| --- | --- | --- | --- |
| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 | | | Method | Precision | Recall | F1-score |
| --- | --- | --- | --- |
| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |
| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |
| HyMap | 0.6469 | 0.7228 | 0.6827 |
| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |
| MCTA | 0.5429 | 0.9586 | 0.6932 |
| TVIA | 0.5... | 0 |
| Method | Precision | Recall | F1-score |
| --- | --- | --- | --- |
| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |
| AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 | | | HyMap | 0.6851 | 0.8600 | 0.7626 |
| --- | --- | --- | --- |
| ConvNetCNN3 | 0.856 | 0.867 | 0.8615 |
| MCTA | 0.8701 | 0.8834 | 0.8767 |
| TVIA | 0.8224 | 0.8641 | 0.8427 | | 1 |
| Method | Precision | Recall | F1-score |
| --- | --- | --- | --- |
| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |
| AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 | | | MCTA | 0.5429 | 0.9586 | 0.6932 |
| --- | --- | --- | --- |
| TVIA | 0.5334 | 0.9747 | 0.6895 | | 0 |
| SceneClass | MeanNo.ofCategories | Selectedk |
| --- | --- | --- |
| Coast | 3.8 | 12 |
| Forest | 2.5 | 36 |
| Highway | 6.5 | 6 |
| InsideCity | 7.2 | 12 |
| Mountain | 2.6 | 22 |
| Open<br>Country | 3.9 | 14 | | | Street | 7.5 | 6 |
| --- | --- | --- |
| TallBuilding | 3.3 | 43 | | 1 |
| SceneClass | MeanNo.ofCategories | Selectedk |
| --- | --- | --- |
| Coast | 3.8 | 12 |
| Forest | 2.5 | 36 |
| Highway | 6.5 | 6 |
| InsideCity | 7.2 | 12 |
| Mountain | 2.6 | 22 |
| Open<br>Country | 3.9 | 14 | | | Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |
| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 |
| elevator | 40 | 17 | 7 | 37 | 10 | 23 | 17 |
| f.fire | 50 | 10 | 40 | 50 | 57 | 40 | 50 |
| fountain | 7 | 10 | 0 | ... | 0 |
| SceneClass | MeanNo.ofCategories | Selectedk |
| --- | --- | --- |
| Coast | 3.8 | 12 |
| Forest | 2.5 | 36 |
| Highway | 6.5 | 6 |
| InsideCity | 7.2 | 12 | | | Mountain | 2.6 | 22 |
| --- | --- | --- |
| Open<br>Country | 3.9 | 14 |
| Street | 7.5 | 6 |
| TallBuilding | 3.3 | 43 | | 1 |
| SceneClass | MeanNo.ofCategories | Selectedk |
| --- | --- | --- |
| Coast | 3.8 | 12 |
| Forest | 2.5 | 36 |
| Highway | 6.5 | 6 |
| InsideCity | 7.2 | 12 | | | railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |
| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |
| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |
| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |
| w.farm | 17 | 03 | 30 | 13 | 20 | 10 ... | 0 |
| 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 | | 1 |
| 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 | | | Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |
| Shuffle&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 |
| Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 ... | 0 |
| 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 | | 1 |
| Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 | | | Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 | | 0 |
| Concept | S | O | Concept | S | O |
| --- | --- | --- | --- | --- | --- |
| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |
| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 |
| truck | 0.65 | 0.67 | coffee | 0.65 | 0.61 |
| watch | 0.67 | 0.67 | bread | 0.63 | 0.61 | | | handbag | 0.67 | 0.65 | juice | 0.62 | 0.61 |
| --- | --- | --- | --- | --- | --- |
| meme | 0.63 | 0.63 | tv | 0.63 | 0.61 | | 1 |
| Concept | S | O | Concept | S | O |
| --- | --- | --- | --- | --- | --- |
| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |
| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 |
| truck | 0.65 | 0.67 | coffee | 0.65 | 0.61 |
| watch | 0.67 | 0.67 | bread | 0.63 | 0.61 | | | Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |
| --- | --- | --- | --- |
| Sports | 64 | 0.972 | 1.93×10 |
| Animals | 108 | 0.982 | 3.14×10 |
| Clothes | 88 | 0.882 | 1.71×10 |
| Food | 107 | 0.979 | 2.56×10 |
| Furniture | 38 | 0.942 | 5.52×10 |
| Music | 16 | 0.983 | 1.30×10 |
| Plants | 33 | 0.95... | 0 |
| Concept | S | O | Concept | S | O |
| --- | --- | --- | --- | --- | --- |
| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |
| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 | | | truck | 0.65 | 0.67 | coffee | 0.65 | 0.61 |
| --- | --- | --- | --- | --- | --- |
| watch | 0.67 | 0.67 | bread | 0.63 | 0.61 |
| handbag | 0.67 | 0.65 | juice | 0.62 | 0.61 |
| meme | 0.63 | 0.63 | tv | 0.63 | 0.61 | | 1 |
| Concept | S | O | Concept | S | O |
| --- | --- | --- | --- | --- | --- |
| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |
| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 | | | Clothes | 88 | 0.882 | 1.71×10 |
| --- | --- | --- | --- |
| Food | 107 | 0.979 | 2.56×10 |
| Furniture | 38 | 0.942 | 5.52×10 |
| Music | 16 | 0.983 | 1.30×10 |
| Plants | 33 | 0.954 | 2.36×10 |
| Structures | 17 | 0.973 | 8.33×10 |
| Places | 73 | 1.000 | 6.03×10 |
| Scenes | 113 | 0.923 | 1.41×10 |
| Vehicles | 53... | 0 |
| #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] | | 1 |
| #ofPieces | RunTime |
| --- | --- |
| Single-Threaded | |
| 432 | 48.73[sec] |
| 540 | 64.06[sec] | | | #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] | | 0 |
| #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] | | 1 |
| #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] |
| 22,834 | 13.19[hr] | | 0 |
| 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 | | 1 |
| 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 | | | name | \|V\| | \|E\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |
| --- | --- | --- | --- | --- | --- | --- |
| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |
| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |
| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |
| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |
| ex189 |... | 0 |
| 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 | | 1 |
| 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 | | | ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |
| --- | --- | --- | --- | --- | --- | --- |
| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |
| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 | | 0 |
| | Bench. | Sim. | Ratio |
| --- | --- | --- | --- |
| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 | | | Clusteringoverhead | 12799.60 | 354.50 | 36.1060 |
| --- | --- | --- | --- |
| Post-clusteringusage | 330.60 | 350.50 | 0.9432 |
| Gain | 5.71 | 5.36 | 1.0652 | | 1 |
| | Bench. | Sim. | Ratio |
| --- | --- | --- | --- |
| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 | | | Clusters | 1-rule | 2-rule |
| --- | --- | --- |
| 1 | 29.4 | 34.3 |
| 2 | 31.4 | 35.5 |
| 3 | 31.8 | 36.2 |
| 4 | 31.7 | 37.0 |
| 5 | 32.3 | 37.2 |
| 6 | 31.9 | 37.3 |
| 10 | 32.8 | 37.5 |
| 20 | 35.1 | 38.3 |
| 40 | 35.8 | 38.9 | | 0 |
| | Bench. | Sim. | Ratio |
| --- | --- | --- | --- |
| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 |
| Clusteringoverhead | 12799.60 | 354.50 | 36.1060 | | | Post-clusteringusage | 330.60 | 350.50 | 0.9432 |
| --- | --- | --- | --- |
| Gain | 5.71 | 5.36 | 1.0652 | | 1 |
| | Bench. | Sim. | Ratio |
| --- | --- | --- | --- |
| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 |
| Clusteringoverhead | 12799.60 | 354.50 | 36.1060 | | | 2 | 31.4 | 35.5 |
| --- | --- | --- |
| 3 | 31.8 | 36.2 |
| 4 | 31.7 | 37.0 |
| 5 | 32.3 | 37.2 |
| 6 | 31.9 | 37.3 |
| 10 | 32.8 | 37.5 |
| 20 | 35.1 | 38.3 |
| 40 | 35.8 | 38.9 | | 0 |
| Unsupervised | Semi-supervised | |
| --- | --- | --- |
| Recall | 27.23 | 29.49 | | | Precision | 15.02 | 24.64 |
| --- | --- | --- |
| F-score | 19.36 | 26.85 |
| #correcttypes | 1,692 | 1,842 |
| #generatedtypes | 11,266 | 7,473 | | 1 |
| Unsupervised | Semi-supervised | |
| --- | --- | --- |
| Recall | 27.23 | 29.49 | | | Model | Precision | Recall | F-Score |
| --- | --- | --- | --- |
| GraphCRF | 65.20 | 66.50 | 65.84 |
| SupervisedPCRW | 76.30 | 79.47 | 77.85 |
| segSeq2Seq | 73.44 | 73.04 | 73.24 |
| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 | | 0 |
| Unsupervised | Semi-supervised | |
| --- | --- | --- |
| Recall | 27.23 | 29.49 |
| Precision | 15.02 | 24.64 | | | F-score | 19.36 | 26.85 |
| --- | --- | --- |
| #correcttypes | 1,692 | 1,842 |
| #generatedtypes | 11,266 | 7,473 | | 1 |
| Unsupervised | Semi-supervised | |
| --- | --- | --- |
| Recall | 27.23 | 29.49 |
| Precision | 15.02 | 24.64 | | | segSeq2Seq | 73.44 | 73.04 | 73.24 |
| --- | --- | --- | --- |
| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 | | 0 |
| Train | Test | Lighting | | | | Ours |
| --- | --- | --- | --- | --- | --- | --- |
| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |
| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |
| D | D | Diff | 80.55 | 94.98 | 95.76 | 94.17 |
| M | M | Diff | 71.90 | 90.17 | 92.01 | 93.62 | | | D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |
| --- | --- | --- | --- | --- | --- | --- |
| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 | | 1 |
| Train | Test | Lighting | | | | Ours |
| --- | --- | --- | --- | --- | --- | --- |
| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |
| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |
| D | D | Diff | 80.55 | 94.98 | 95.76 | 94.17 |
| M | M | Diff | 71.90 | 90.17 | 92.01 | 93.62 | | | Train | Test | Train |
| --- | --- | --- |
| 93.5 | 90.8 | 88.5 |
| 96.0 | 94.6 | 91.8 |
| 97.3 | 96.3 | 93.7 |
| 99.5 | 99.3 | 98.4 | | 0 |
| Train | Test | Lighting | | | | Ours |
| --- | --- | --- | --- | --- | --- | --- |
| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |
| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 | | | D | D | Diff | 80.55 | 94.98 | 95.76 | 94.17 |
| --- | --- | --- | --- | --- | --- | --- |
| M | M | Diff | 71.90 | 90.17 | 92.01 | 93.62 |
| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |
| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 | | 1 |
| Train | Test | Lighting | | | | Ours |
| --- | --- | --- | --- | --- | --- | --- |
| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |
| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 | | | 97.3 | 96.3 | 93.7 |
| --- | --- | --- |
| 99.5 | 99.3 | 98.4 | | 0 |
| Instance | #V#Csolution |
| --- | --- |
| b14optbug2vec1-gt-0 | 130328402707402706 |
| b15-bug-4vec-gt-0 | 5810641712690– |
| b15-bug-1vec-gt-0 | 121836359040359039 |
| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |
| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |
| c2DDs3f1e2v1-bug-4vec-gt-0 | 4000851121810112... | | motcomb1.red-gt-0 | 215953265325 |
| --- | --- |
| motcomb2.red-gt-0 | 54841389413893 |
| motcomb3.red-gt-0 | 112652952029519 |
| s15850-bug-4vec-gt-0 | 88544206252206248 |
| s15850-bug-1vec-gt-0 | 221365156351562 |
| s38584-bug-1vec-gt-0 | 314272819830819829 | | 1 |
| Instance | #V#Csolution |
| --- | --- |
| b14optbug2vec1-gt-0 | 130328402707402706 |
| b15-bug-4vec-gt-0 | 5810641712690– |
| b15-bug-1vec-gt-0 | 121836359040359039 |
| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |
| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |
| c2DDs3f1e2v1-bug-4vec-gt-0 | 4000851121810112... | | Instances | LBD | SIZE | CVSIDS | DegComp |
| --- | --- | --- | --- | --- |
| jgiraldezlevy.2200.9086.08.40.8 | - | - | - | 93.71s |
| mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |
| 14packages-2008seed.040 | - | - | - | 1713.46s |
| mantheyDimacsSorter373 | - | - | - | 2673.39s |
| jgiraldezlevy.2200.9086.08.4... | 0 |
| Instance | #V#Csolution |
| --- | --- |
| b14optbug2vec1-gt-0 | 130328402707402706 |
| b15-bug-4vec-gt-0 | 5810641712690– |
| b15-bug-1vec-gt-0 | 121836359040359039 |
| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |
| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |
| c2DDs3f1e2v1-bug-4vec-gt-0 | 4000851121810112... | | c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |
| --- | --- |
| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |
| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |
| c7552-bug-gt-0 | 264070087007 |
| motcomb1.red-gt-0 | 215953265325 |
| motcomb2.red-gt-0 | 54841389413893 |
| motcomb3.red-gt-0 | 112652952029519 |
| s158... | 1 |
| Instance | #V#Csolution |
| --- | --- |
| b14optbug2vec1-gt-0 | 130328402707402706 |
| b15-bug-4vec-gt-0 | 5810641712690– |
| b15-bug-1vec-gt-0 | 121836359040359039 |
| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |
| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |
| c2DDs3f1e2v1-bug-4vec-gt-0 | 4000851121810112... | | mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |
| --- | --- | --- | --- | --- |
| 14packages-2008seed.040 | - | - | - | 1713.46s |
| mantheyDimacsSorter373 | - | - | - | 2673.39s |
| jgiraldezlevy.2200.9086.08.40.2 | - | - | - | 3195.03s | | 0 |
| Layer | No.ofneurons | Activationfunction |
| --- | --- | --- |
| Inputlayer | 784 | - |
| Hiddenlayer1 | 500 | ReLu | | | Hiddenlayer2 | 500 | ReLu |
| --- | --- | --- |
| Hiddenlayer3 | 500 | ReLu |
| Hiddenlayer4 | n | targetfunction |
| Outputlayer | 10 | Softmax | | 1 |
| Layer | No.ofneurons | Activationfunction |
| --- | --- | --- |
| Inputlayer | 784 | - |
| Hiddenlayer1 | 500 | ReLu | | | Layer | Type | kernel | Activation |
| --- | --- | --- | --- |
| Input | Input(48×48) | – | – |
| Hidden1 | Conv | 3×3(64ch) | ReLU |
| Pool1 | Maxpooling | 2×2 | – |
| Hidden2 | Conv | 3×3(64ch) | ReLU |
| Pool2 | Maxpooling | 2×2 | – |
| Hidden3 | Dense | 1024 | ReLU |
| Output | Dense | 98 | Tanh | | 0 |
| Layer | No.ofneurons | Activationfunction |
| --- | --- | --- |
| Inputlayer | 784 | - |
| Hiddenlayer1 | 500 | ReLu | | | Hiddenlayer2 | 500 | ReLu |
| --- | --- | --- |
| Hiddenlayer3 | 500 | ReLu |
| Hiddenlayer4 | n | targetfunction |
| Outputlayer | 10 | Softmax | | 1 |
| Layer | No.ofneurons | Activationfunction |
| --- | --- | --- |
| Inputlayer | 784 | - |
| Hiddenlayer1 | 500 | ReLu | | | Pool2 | Maxpooling | 2×2 | – |
| --- | --- | --- | --- |
| Hidden3 | Dense | 1024 | ReLU |
| Output | Dense | 98 | Tanh | | 0 |
| Featuregroup | Feature | Coefficient |
| --- | --- | --- |
| Who(Starpower) | Avg.profitofactor-directorcollaboration* | 0.143 |
| Who(Starpower) | Avg.DirectorGross | 0.039 | | | When | WinterRelease | 0.036 |
| --- | --- | --- |
| Who(Starpower) | TotalActorProfit* | 0.035 | | 1 |
| Featuregroup | Feature | Coefficient |
| --- | --- | --- |
| Who(Starpower) | Avg.profitofactor-directorcollaboration* | 0.143 |
| Who(Starpower) | Avg.DirectorGross | 0.039 | | | Name | #Features | #Retainedfeatures |
| --- | --- | --- |
| Dailyaverage(AVG) | 23 | 18 |
| Fixedinterval | 36 | 34 |
| Generictimeseries(GTS) | 222 | 162 |
| Intrayeardifference | 12 | 12 |
| Intrayearseasonaldifference | 11 | 11 |
| Total | 304 | 237 | | 0 |
| Featuregroup | Feature | Coefficient |
| --- | --- | --- |
| Who(Starpower) | Avg.profitofactor-directorcollaboration* | 0.143 |
| Who(Starpower) | Avg.DirectorGross | 0.039 | | | When | WinterRelease | 0.036 |
| --- | --- | --- |
| Who(Starpower) | TotalActorProfit* | 0.035 | | 1 |
| Featuregroup | Feature | Coefficient |
| --- | --- | --- |
| Who(Starpower) | Avg.profitofactor-directorcollaboration* | 0.143 |
| Who(Starpower) | Avg.DirectorGross | 0.039 | | | Fixedinterval | 36 | 34 |
| --- | --- | --- |
| Generictimeseries(GTS) | 222 | 162 |
| Intrayeardifference | 12 | 12 |
| Intrayearseasonaldifference | 11 | 11 |
| Total | 304 | 237 | | 0 |
| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |
| --- | --- | --- | --- | --- | --- |
| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |
| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>... | | DataSet(Flint) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |
| --- | --- | --- | --- | --- | --- |
| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.275 | 0.954 | 0.493<br>0.627 | 0.472<br>0.599 | 0.476<br>0.606 |
| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.255 | 0.643 | 0.340<br>0.480 | 0.407<br... | 1 |
| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |
| --- | --- | --- | --- | --- | --- |
| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |
| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>... | | DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |
| --- | --- | --- | --- | --- | --- |
| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |
| ogl-dct-1000-10000-1 | FISTA-p<b... | 0 |
| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |
| --- | --- | --- | --- | --- | --- |
| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |
| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>... | | Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.255 | 0.643 | 0.340<br>0.480 | 0.407<br>0.500 | 0.411<br>0.498 |
| --- | --- | --- | --- | --- | --- |
| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.047 | 0.355 | 0.199<br>0.320 | 0.250<br>0.350 | 0.288<br>0.361 | | 1 |
| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |
| --- | --- | --- | --- | --- | --- |
| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |
| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>... | | ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |
| --- | --- | --- | --- | --- | --- |
| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15... | 0 |
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