premise string | hypothesis string | label int64 |
|---|---|---|
| K40Specs | |
| --- | --- |
| GlobalMemory | 11520MB |
| L2cachesize | 1.57MB |
| Sharedmemoryperblock | 0.049MB | | | Multiprocessors | 15 |
| --- | --- |
| CoresperMP | 192 |
| Registersperblock | 65536 | | 1 |
| K40Specs | |
| --- | --- |
| GlobalMemory | 11520MB |
| L2cachesize | 1.57MB |
| Sharedmemoryperblock | 0.049MB | | | | TeslaK40t |
| --- | --- |
| GPUchip | GK110BGL |
| Computecapability | 3.5 |
| GPUmemory(GDDR5SGRAM) | 12288MiB |
| Memorybuswidth | 384bits |
| Peakmemoryclockrate | 3004MHz |
| Theoreticalmemorybandwidth | 268.58GiB/s |
| NumberofSMXprocessors | 15 |
| Max32-bitregistersperSIMDprocessor | 65536 |
| Maxsharedmemo... | 0 |
| K40Specs | |
| --- | --- |
| GlobalMemory | 11520MB |
| L2cachesize | 1.57MB |
| Sharedmemoryperblock | 0.049MB | | | Multiprocessors | 15 |
| --- | --- |
| CoresperMP | 192 |
| Registersperblock | 65536 | | 1 |
| K40Specs | |
| --- | --- |
| GlobalMemory | 11520MB |
| L2cachesize | 1.57MB |
| Sharedmemoryperblock | 0.049MB | | | Maxsharedmemoryperthreadblock | 49152bytes |
| --- | --- |
| L2cachesize | 1.50MiB | | 0 |
| Category | S-Level |
| --- | --- |
| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |
| NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKn... | | Hungarianmonarchs<br>NobellaureatesinEconomics<br>Japaneseemperors<br>BurialsatRiddarholmenChurch<br>ConfederateStatesArmygenerals | -121.41<br>-119.82<br>-118.64<br>-117.55<br>-116.08 |
| --- | --- |
| TVBveteranactors<br>Americanprintmakers<br>Englishsnookerplayers<br>PrimeMinistersofFrance<br>MembersoftheHouseofRe... | 1 |
| Category | S-Level |
| --- | --- |
| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |
| NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKn... | | Event | TweetCount |
| --- | --- |
| TrainingData | |
| 2010NFLDivisionChampionship | 109,809 |
| 2012PremierLeagueSoccerGames | 1,064,040 |
| 2014NHLStanleyCupPlayoffs | 2,421,065 |
| 2014NBAPlayoffs | 500,170 |
| 2014KentuckyDerbyHorseRace | 233,172 |
| 2014BelmontStakesHorseRace | 226,160 |
| 2014FIFAWorldCupStages... | 0 |
| Category | S-Level |
| --- | --- |
| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 | | | NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 |
| --- | --- |
| Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwi... | 1 |
| Category | S-Level |
| --- | --- |
| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 | | | 2013MLBWorldSeriesGame5 | 1,052,852 |
| --- | --- |
| 2013MLBWorldSeriesGame6 | 1,026,848 |
| 2013HonshuEarthquake | 444,018 |
| 2014NFLSuperBowl | 1,024,367 |
| 2014FIFAWorldCupThirdPlace | 809,426 |
| 2014FIFAWorldCupFinal | 1,166,767 |
| 2014IwakiEarthquake | 358,966 |
| Total | 16,305,443 | | 0 |
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |
| --- | --- | --- | --- | --- | --- |
| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 | | | C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |
| --- | --- | --- | --- | --- | --- |
| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |
| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |
| unit | mV | mV/ms | ms | synapses | neurons | | 1 |
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |
| --- | --- | --- | --- | --- | --- |
| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 | | | Architecture | Layers | Neurons | #Params |
| --- | --- | --- | --- |
| relu-RNN | 4 | 607 | 6.1M |
| LSTM | 5 | 375 | 8.8M |
| GRU | 5 | 465 | 10.3M |
| M-GRU | 5 | 465 | 7.4M |
| Li-GRU | 5 | 465 | 7.4M | | 0 |
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |
| --- | --- | --- | --- | --- | --- |
| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |
| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 | | | S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |
| --- | --- | --- | --- | --- | --- |
| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |
| unit | mV | mV/ms | ms | synapses | neurons | | 1 |
| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |
| --- | --- | --- | --- | --- | --- |
| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |
| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 | | | LSTM | 5 | 375 | 8.8M |
| --- | --- | --- | --- |
| GRU | 5 | 465 | 10.3M |
| M-GRU | 5 | 465 | 7.4M |
| Li-GRU | 5 | 465 | 7.4M | | 0 |
| Split | Base | Male | Female | M+Skin1 | M+Skin3 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |
| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |
| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |
| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 | | | 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 |
| --- | --- | --- | --- | --- | --- |
| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |
| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |
| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |
| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |
| 10 | 0.6645 | 0.6907 | 0.687... | 1 |
| Split | Base | Male | Female | M+Skin1 | M+Skin3 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |
| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |
| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |
| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 | | | Split | Base | Male | Female | M+Skin1 | M+Skin3 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 |
| 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 |
| 3 | 0.6356 | 0.6675 | 0.6673 | 0.7044 | 0.6997 |
| 4 | 0.6716 | 0.6597 | 0.7197 | 0.7111 | 0.7325 |
| 5 | 0.5658 | 0.5706 | 0.60... | 0 |
| Split | Base | Male | Female | M+Skin1 | M+Skin3 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |
| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 | | | 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |
| --- | --- | --- | --- | --- | --- |
| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |
| 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 |
| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |
| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |
| 8 | 0.6561 | 0.6875 | 0.616 |... | 1 |
| Split | Base | Male | Female | M+Skin1 | M+Skin3 |
| --- | --- | --- | --- | --- | --- |
| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |
| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 | | | 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 |
| --- | --- | --- | --- | --- | --- |
| Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 | | 0 |
| Accuracy | Precision | Recall |
| --- | --- | --- |
| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |
| 51.15 | - | - | | | 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |
| --- | --- | --- |
| 70.8 | 0.718 | 0.612 | | 1 |
| Accuracy | Precision | Recall |
| --- | --- | --- |
| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |
| 51.15 | - | - | | | WSJ10test | | | | |
| --- | --- | --- | --- | --- |
| Precision | Recall | F1 | Precision | Recall |
| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |
| 64.5 | 82.6 | 72.4 | 53.0 ... | 0 |
| Accuracy | Precision | Recall |
| --- | --- | --- |
| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 | | | 51.15 | - | - |
| --- | --- | --- |
| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |
| 70.8 | 0.718 | 0.612 | | 1 |
| Accuracy | Precision | Recall |
| --- | --- | --- |
| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 | | | 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |
| --- | --- | --- | --- | --- |
| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |
| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 | | 0 |
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |
| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |
| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 ... | | car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 |
| crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 |
| dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 |
| fernando | 0.45 | 0.43 | 0.43 ... | 1 |
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |
| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |
| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 ... | | | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 |
| ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 |
| ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 |
| basketball ... | 0 |
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |
| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |
| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 ... | | butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 |
| car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 |
| crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 |
| dinosaur | 0.57 | 0.62 | 0.61 ... | 1 |
| | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |
| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |
| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 ... | | graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 |
| gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 |
| gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 |
| gymnastics4 | 0.13 | 0 ... | 0 |
| Assignmentproblems | | | | |
| --- | --- | --- | --- | --- |
| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |
| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>... | | #items | Ozlenetal. | CPLEX | Splitting | Meeting |
| --- | --- | --- | --- | --- |
| 50<br>100<br>200<br>400<br>1000<br>2000 | 1.00<br>5.03<br>22.37<br>73.75<br>338.67<br>1200.50 | 1.10<br>4.83<br>20.56<br>71.69<br>347.34<br>1113.11 | 0.67<br>3.60<br>16.13<br>57.70<br>263.01<br>912.85 | 0.53<br>2.59<br>11.53<br>36.4... | 1 |
| Assignmentproblems | | | | |
| --- | --- | --- | --- | --- |
| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |
| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>... | | | 3newslices | 2newslices | | | |
| --- | --- | --- | --- | --- | --- |
| #runs | 1 | 2 | 3 | 4 | 5 |
| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |
| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |
| total | 14.9 ... | 0 |
| Assignmentproblems | | | | |
| --- | --- | --- | --- | --- |
| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |
| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>... | | #items | Ozlenetal. | CPLEX | Splitting | Meeting |
| --- | --- | --- | --- | --- |
| 50<br>100<br>200<br>400<br>1000<br>2000 | 1.00<br>5.03<br>22.37<br>73.75<br>338.67<br>1200.50 | 1.10<br>4.83<br>20.56<br>71.69<br>347.34<br>1113.11 | 0.67<br>3.60<br>16.13<br>57.70<br>263.01<br>912.85 | 0.53<br>2.59<br>11.53<br>36.4... | 1 |
| Assignmentproblems | | | | |
| --- | --- | --- | --- | --- |
| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |
| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>... | | initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |
| --- | --- | --- | --- | --- | --- |
| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |
| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 | | 0 |
| Block<br>Size | Freq(GHz) | Area(GE) |
| --- | --- | --- |
| TG | TG | |
| 1 | 3.84 | 28101772 |
| 4 | 3.42.7 | 29552471 | | | 8 | 3.62.3 | 37633575 |
| --- | --- | --- |
| 16 | 3.61.7 | 38415768 | | 1 |
| Block<br>Size | Freq(GHz) | Area(GE) |
| --- | --- | --- |
| TG | TG | |
| 1 | 3.84 | 28101772 |
| 4 | 3.42.7 | 29552471 | | | CountOnce | MultiCount | |
| --- | --- | --- |
| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |
| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0... | 0 |
| Block<br>Size | Freq(GHz) | Area(GE) |
| --- | --- | --- |
| TG | TG | | | | 1 | 3.84 | 28101772 |
| --- | --- | --- |
| 4 | 3.42.7 | 29552471 |
| 8 | 3.62.3 | 37633575 |
| 16 | 3.61.7 | 38415768 | | 1 |
| Block<br>Size | Freq(GHz) | Area(GE) |
| --- | --- | --- |
| TG | TG | | | | 120 |
| --- |
| 150 |
| 180 | | 0 |
| #Sent. | es→en | en→fr | es→fr |
| --- | --- | --- | --- |
| 0 | 31.53 | 30.46 | 29.52 |
| 1K | 32.64 | 30.29 | 30.23 | | | 10K | 32.92 | 30.93 | 31.51 |
| --- | --- | --- | --- |
| 50K | 33.29 | 31.57 | 32.40 |
| 100K | 33.35 | 31.63 | 32.45 | | 1 |
| #Sent. | es→en | en→fr | es→fr |
| --- | --- | --- | --- |
| 0 | 31.53 | 30.46 | 29.52 |
| 1K | 32.64 | 30.29 | 30.23 | | | Step | Free | Sending | Receiving | Active |
| --- | --- | --- | --- | --- |
| 1 | 50,634 | 1 | 18 | 19 |
| 2 | 50,491 | 18 | 144 | 162 |
| 3 | 49,807 | 144 | 702 | 846 |
| 4 | 47,593 | 684 | 2,376 | 3,060 |
| 5 | 42,661 | 2,160 | 5,832 | 7,992 |
| 6 | 35,425 | 4,752 | 10,476 | 15,228 |
| 7 | 29,809 | 7,236 | 13,608 ... | 0 |
| #Sent. | es→en | en→fr | es→fr |
| --- | --- | --- | --- |
| 0 | 31.53 | 30.46 | 29.52 |
| 1K | 32.64 | 30.29 | 30.23 |
| 10K | 32.92 | 30.93 | 31.51 | | | 50K | 33.29 | 31.57 | 32.40 |
| --- | --- | --- | --- |
| 100K | 33.35 | 31.63 | 32.45 | | 1 |
| #Sent. | es→en | en→fr | es→fr |
| --- | --- | --- | --- |
| 0 | 31.53 | 30.46 | 29.52 |
| 1K | 32.64 | 30.29 | 30.23 |
| 10K | 32.92 | 30.93 | 31.51 | | | 3 | 49,807 | 144 | 702 | 846 |
| --- | --- | --- | --- | --- |
| 4 | 47,593 | 684 | 2,376 | 3,060 |
| 5 | 42,661 | 2,160 | 5,832 | 7,992 |
| 6 | 35,425 | 4,752 | 10,476 | 15,228 |
| 7 | 29,809 | 7,236 | 13,608 | 20,844 |
| 8 | 31,861 | 7,128 | 11,664 | 18,792 |
| 9 | 40,933 | 3,888 | 5,832 | 9,720 |
| Total | | 26,0... | 0 |
| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | |
| --- | --- | --- | --- | --- | --- |
| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |
| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |
| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 ... | | NLPKKT240 | 27,993,600 | 373,239,376 | 27 | 26.666 | 0.083 |
| --- | --- | --- | --- | --- | --- |
| MG2 | 11,005,829 | 674,142,381 | 5,466 | 122.506 | 2.370 |
| friendster | 51,952,104 | 1,801,014,245 | 8,603,554 | 69.333 | 17.354 | | 1 |
| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | |
| --- | --- | --- | --- | --- | --- |
| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |
| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |
| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 ... | | 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>1034.4... | 0 |
| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | |
| --- | --- | --- | --- | --- | --- |
| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |
| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |
| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 ... | | NLPKKT240 | 27,993,600 | 373,239,376 | 27 | 26.666 | 0.083 |
| --- | --- | --- | --- | --- | --- |
| MG2 | 11,005,829 | 674,142,381 | 5,466 | 122.506 | 2.370 |
| friendster | 51,952,104 | 1,801,014,245 | 8,603,554 | 69.333 | 17.354 | | 1 |
| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD | | |
| --- | --- | --- | --- | --- | --- |
| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |
| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |
| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 ... | | 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 | | 0 |
| | ObjectDetection(AP) | Orientation(AOS) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |
| Car | | | | | | |
| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |
| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86... | | Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |
| --- | --- | --- | --- | --- | --- | --- |
| Pedestrian | | | | | | |
| RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 |
| RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 |
| Ours(unshared) | 86.43... | 1 |
| | ObjectDetection(AP) | Orientation(AOS) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |
| Car | | | | | | |
| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |
| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86... | | | ObjectDetection(AP) | Orientation(AOS) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |
| Car | | | | | | |
| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |
| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |
| Oursw/oPose | 94.66 | 8... | 0 |
| | ObjectDetection(AP) | Orientation(AOS) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |
| Car | | | | | | |
| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |
| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86... | | RPN+Ourdet.net(unshared) | 69.23 | 54.83 | 51.41 | 61.25 | 46.44 | 43.07 |
| --- | --- | --- | --- | --- | --- | --- |
| RPN+Ourdet.net(shared) | 71.24 | 56.69 | 52.91 | 63.21 | 48.68 | 45.16 |
| Ours(unshared) | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 | | 1 |
| | ObjectDetection(AP) | Orientation(AOS) | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |
| Car | | | | | | |
| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |
| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86... | | OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |
| --- | --- | --- | --- | --- | --- | --- |
| Pedestrian | | | | | | |
| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |
| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |
| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |
| Oursw/oExtra | 84... | 0 |
| Environment | RunTime(s) |
| --- | --- |
| IB(w/oDMTCP) | 26.61 |
| DMTCP/IB(w/oIB2TCP) | 27.81 |
| DMTCP/IB2TCP/IB | 27.38 | | | DMTCP/IB2TCP/Ethernet<br>(restartontwonodes) | 45.75 |
| --- | --- |
| DMTCP/IB2TCP/Ethernet<br>(restartonasinglenode) | 66.34 | | 1 |
| Environment | RunTime(s) |
| --- | --- |
| IB(w/oDMTCP) | 26.61 |
| DMTCP/IB(w/oIB2TCP) | 27.81 |
| DMTCP/IB2TCP/IB | 27.38 | | | Machine | Compiler | MPI |
| --- | --- | --- |
| BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) |
| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |
| Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 |
| XeonHos... | 0 |
| Environment | RunTime(s) |
| --- | --- |
| IB(w/oDMTCP) | 26.61 |
| DMTCP/IB(w/oIB2TCP) | 27.81 | | | DMTCP/IB2TCP/IB | 27.38 |
| --- | --- |
| DMTCP/IB2TCP/Ethernet<br>(restartontwonodes) | 45.75 |
| DMTCP/IB2TCP/Ethernet<br>(restartonasinglenode) | 66.34 | | 1 |
| Environment | RunTime(s) |
| --- | --- |
| IB(w/oDMTCP) | 26.61 |
| DMTCP/IB(w/oIB2TCP) | 27.81 | | | Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |
| --- | --- | --- |
| Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 |
| XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 |
| SGIICEXA | In... | 0 |
| No | Fieldname | Fielddescription |
| --- | --- | --- |
| 1. | specObjID | UniqueID |
| 2. | z | FinalRedShift |
| 3. | ra | Rightascention |
| 4. | dec | Declination | | | 5. | cx | xofNormalunitvector |
| --- | --- | --- |
| 6. | cy | yofNormalunitvector |
| 7. | cz | zofNormalunitvector |
| 8. | primTarget | primetargetcategories |
| 9. | objType | objecttype:Galaxy=0 |
| 10. | modelMagu | Ultravioletmagniutde |
| 11. | modelMagr | RedLightmagnitude | | 1 |
| No | Fieldname | Fielddescription |
| --- | --- | --- |
| 1. | specObjID | UniqueID |
| 2. | z | FinalRedShift |
| 3. | ra | Rightascention |
| 4. | dec | Declination | | | CameraModel | Training | Validation | Test |
| --- | --- | --- | --- |
| AS-One | 90000 | 25500 | 12500 |
| ES-D5100 | 37500 | 10500 | 5000 |
| MK-Powershot | 35000 | 10000 | 5000 |
| MK-s860 | 35500 | 10000 | 5000 |
| PAR-1233 | 71000 | 20000 | 10000 |
| PAR-1476 | 107000 | 30500 | 15000 |
| PAR-1477 | 70000 | 20000... | 0 |
| No | Fieldname | Fielddescription |
| --- | --- | --- |
| 1. | specObjID | UniqueID | | | 2. | z | FinalRedShift |
| --- | --- | --- |
| 3. | ra | Rightascention |
| 4. | dec | Declination |
| 5. | cx | xofNormalunitvector |
| 6. | cy | yofNormalunitvector |
| 7. | cz | zofNormalunitvector |
| 8. | primTarget | primetargetcategories |
| 9. | objType | objecttype:Galaxy=0 |
| 10. | modelMagu | Ultravioletm... | 1 |
| No | Fieldname | Fielddescription |
| --- | --- | --- |
| 1. | specObjID | UniqueID | | | MK-s860 | 35500 | 10000 | 5000 |
| --- | --- | --- | --- |
| PAR-1233 | 71000 | 20000 | 10000 |
| PAR-1476 | 107000 | 30500 | 15000 |
| PAR-1477 | 70000 | 20000 | 9500 |
| PAR-A015 | 40500 | 11500 | 5500 |
| PAR-A075 | 26000 | 7000 | 3500 |
| PAR-A106 | 54000 | 15500 | 7500 | | 0 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 ... | | -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |
| --- |
| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |
| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |
|... | 1 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 ... | | -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 ... | 0 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 ... | | -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |
| --- |
| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |
| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |
|... | 1 |
| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |
| --- |
| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |
| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 ... | | -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |
| --- |
| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |
| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |
... | 0 |
| 4features | | | |
| --- | --- | --- | --- |
| Class | A | B | C | | | A | 0.97 | 0.38 | 0.08 |
| --- | --- | --- | --- |
| B | 0.38 | 0.73 | 0.66 |
| C | 0.08 | 0.66 | 0.89 | | 1 |
| 4features | | | |
| --- | --- | --- | --- |
| Class | A | B | C | | | 4features | | | |
| --- | --- | --- | --- |
| Class | A | B | C |
| A | 0.68 | 0.27 | 0.06 |
| B | 0.22 | 0.41 | 0.37 |
| C | 0.05 | 0.40 | 0.55 | | 0 |
| 4features | | | |
| --- | --- | --- | --- |
| Class | A | B | C | | | A | 0.97 | 0.38 | 0.08 |
| --- | --- | --- | --- |
| B | 0.38 | 0.73 | 0.66 |
| C | 0.08 | 0.66 | 0.89 | | 1 |
| 4features | | | |
| --- | --- | --- | --- |
| Class | A | B | C | | | A | 0.68 | 0.27 | 0.06 |
| --- | --- | --- | --- |
| B | 0.22 | 0.41 | 0.37 |
| C | 0.05 | 0.40 | 0.55 | | 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 | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Pattern<br>Size | Algorithm | System1 | System2 | System3 |
| --- | --- | --- | --- | --- |
| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |
| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.486... | | 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 |
| --- | --- | --- | --- | --- |
| 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.... | 1 |
| Pattern<br>Size | Algorithm | System1 | System2 | System3 |
| --- | --- | --- | --- | --- |
| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |
| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.486... | | Pattern<br>Size | Algorithm | System1 | System2 | System3 |
| --- | --- | --- | --- | --- |
| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.1... | 0 |
| Pattern<br>Size | Algorithm | System1 | System2 | System3 |
| --- | --- | --- | --- | --- |
| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |
| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.486... | | 14 | HAL<br>L<br>NHAL<br>SF | 42.9195<br>7.1132<br>23.5262<br>4.48911 | 78.1701<br>28.5491<br>47.5818<br>9.80043 | 149.234<br>41.0393<br>136.798<br>22.7996 |
| --- | --- | --- | --- | --- |
| 18 | HAL<br>L<br>NHAL<br>SF | 47.51862<br>7.144521<br>26.4274<br>4.48312 | 96.9324<br>28.1684<br>56.8225<br>9.80864 | 173.458<... | 1 |
| Pattern<br>Size | Algorithm | System1 | System2 | System3 |
| --- | --- | --- | --- | --- |
| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |
| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.486... | | 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>... | 0 |
| n | tn |
| --- | --- |
| 8 | 560 |
| 9 | 5040 |
| 10 | 957600 |
| 11 | 123354000 |
| 12 | 16842764400 |
| 13 | 2764379217600 |
| 14 | 527554510282800 |
| 15 | 114387072405606000 |
| 16 | 27728561968887780000 |
| 17 | 7418031804967840056000 | | | 18 | 2167306256125914230527200 |
| --- | --- |
| 19 | 685709965521372865035362400 |
| 20 | 233306923207078035272369412000 | | 1 |
| n | tn |
| --- | --- |
| 8 | 560 |
| 9 | 5040 |
| 10 | 957600 |
| 11 | 123354000 |
| 12 | 16842764400 |
| 13 | 2764379217600 |
| 14 | 527554510282800 |
| 15 | 114387072405606000 |
| 16 | 27728561968887780000 |
| 17 | 7418031804967840056000 | | | n | tn |
| --- | --- |
| 8 | 560 |
| 9 | 191520 |
| 10 | 42058800 |
| 11 | 7864256400 |
| 12 | 1407126890400 |
| 13 | 257752421166240 |
| 14 | 50607986220311520 |
| 15 | 10995419195575214400 |
| 16 | 2692773804667509763200 |
| 17 | 747221542837742897724800 |
| 18 | 233698171655650029030743040 |
| 19 | 814727650511325... | 0 |
| n | tn |
| --- | --- |
| 8 | 560 |
| 9 | 5040 |
| 10 | 957600 |
| 11 | 123354000 |
| 12 | 16842764400 |
| 13 | 2764379217600 |
| 14 | 527554510282800 |
| 15 | 114387072405606000 |
| 16 | 27728561968887780000 |
| 17 | 7418031804967840056000 | | | 18 | 2167306256125914230527200 |
| --- | --- |
| 19 | 685709965521372865035362400 |
| 20 | 233306923207078035272369412000 | | 1 |
| n | tn |
| --- | --- |
| 8 | 560 |
| 9 | 5040 |
| 10 | 957600 |
| 11 | 123354000 |
| 12 | 16842764400 |
| 13 | 2764379217600 |
| 14 | 527554510282800 |
| 15 | 114387072405606000 |
| 16 | 27728561968887780000 |
| 17 | 7418031804967840056000 | | | 19 | 81472765051132560093387934080 |
| --- | --- |
| 20 | 31268587126068905034073041062400 | | 0 |
| Accuracy | |
| --- | --- |
| Pred.Events | GTEvents | | | LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |
| --- | --- | --- |
| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.60... | 1 |
| Accuracy | |
| --- | --- |
| Pred.Events | GTEvents | | | Network | #Predicted | #Matched | #Derivable | #Derived | Pr |
| --- | --- | --- | --- | --- | --- |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TC... | 0 |
| Accuracy | | |
| --- | --- | --- |
| Pred.Events | GTEvents | |
| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- | | | Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |
| --- | --- | --- |
| Ours | 0.765 | 0.793 | | 1 |
| Accuracy | | |
| --- | --- | --- |
| Pred.Events | GTEvents | |
| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- | | | PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |
| --- | --- | --- | --- | --- | --- |
| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>... | 0 |
| Datasets | Samples | Classes | Subjects | Views | Sensor |
| --- | --- | --- | --- | --- | --- |
| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |
| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |
| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |
| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 | | | Act4 | 6844 | 14 | 24 | 4 | Kinectv1 |
| --- | --- | --- | --- | --- | --- |
| CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 |
| 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 |
| Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 |
| OnlineRGB+DAction | 336 | 7 | 24 | 1 | Kinectv1 |
| Northwestern-UCLA | 1475 | 10 | 10 | 3 | K... | 1 |
| Datasets | Samples | Classes | Subjects | Views | Sensor |
| --- | --- | --- | --- | --- | --- |
| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |
| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |
| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |
| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 | | | Method | Scene1 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4ViewAVP | 8ViewAVP | | | | | | | | | |
| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | |
| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1... | 0 |
| Datasets | Samples | Classes | Subjects | Views | Sensor |
| --- | --- | --- | --- | --- | --- |
| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |
| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |
| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |
| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |
| Act4 | 6844 | 14 | 24 | 4 | Kinec... | | OnlineRGB+DAction | 336 | 7 | 24 | 1 | Kinectv1 |
| --- | --- | --- | --- | --- | --- |
| Northwestern-UCLA | 1475 | 10 | 10 | 3 | Kinectv1 |
| UWA3DMultiview | ∼900 | 30 | 10 | 1 | Kinectv1 |
| OfficeActivity | 1180 | 20 | 10 | 3 | Kinectv1 |
| UTD-MHAD | 861 | 27 | 8 | 1 | Kinectv1+WIS |
| UWA3DMultiviewII | 1075 | 3... | 1 |
| Datasets | Samples | Classes | Subjects | Views | Sensor |
| --- | --- | --- | --- | --- | --- |
| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |
| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |
| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |
| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |
| Act4 | 6844 | 14 | 24 | 4 | Kinec... | | P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |
| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | 0 |
| Features | ALL | PER | ORG | GPE | TITL | FAC |
| --- | --- | --- | --- | --- | --- | --- |
| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |
| Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 | | | Text | 87.2 | 97.5 | 87.3 | 95.1 | 88.5 | 40.0 |
| --- | --- | --- | --- | --- | --- | --- |
| All | 90.1 | 96.1 | 92.5 | 95.1 | 96.9 | 75.0 | | 1 |
| Features | ALL | PER | ORG | GPE | TITL | FAC |
| --- | --- | --- | --- | --- | --- | --- |
| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |
| Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 | | | Feature | Non-toptier | Toptier | | |
| --- | --- | --- | --- | --- |
| Mean | Std.Dev. | Mean | Std.Dev. | |
| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |
| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |
| CADI | 0.121 | 0.146 | 0.076 | 0.068 |
| PNA | 0.1 | 0.077 | 0.097 | 0.068 |
| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |
| DDI... | 0 |
| Features | ALL | PER | ORG | GPE | TITL | FAC |
| --- | --- | --- | --- | --- | --- | --- |
| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 | | | Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 |
| --- | --- | --- | --- | --- | --- | --- |
| Text | 87.2 | 97.5 | 87.3 | 95.1 | 88.5 | 40.0 |
| All | 90.1 | 96.1 | 92.5 | 95.1 | 96.9 | 75.0 | | 1 |
| Features | ALL | PER | ORG | GPE | TITL | FAC |
| --- | --- | --- | --- | --- | --- | --- |
| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 | | | PNA | 0.1 | 0.077 | 0.097 | 0.068 |
| --- | --- | --- | --- | --- |
| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |
| DDI | 0.386 | 0.323 | 0.335 | 0.28 |
| EDI | 0.323 | 0.292 | 0.23 | 0.265 |
| ACC | 0.02 | 0.034 | 0.018 | 0.019 |
| ABC | 0.034 | 0.087 | 0.015 | 0.034 | | 0 |
| Erabiltzailea | Txiokopurua |
| --- | --- |
| @idorrokia | 1085 |
| @EuskalakariAEK | 910 |
| @korrikaaek | 614 |
| @HamaikaTb | 444 |
| @EAPortugalete | 239 |
| @naizinfo | 233 |
| @gaztea | 227 | | | @berria | 216 |
| --- | --- |
| @euskalirratiak | 208 |
| @anabarri72 | 204 | | 1 |
| Erabiltzailea | Txiokopurua |
| --- | --- |
| @idorrokia | 1085 |
| @EuskalakariAEK | 910 |
| @korrikaaek | 614 |
| @HamaikaTb | 444 |
| @EAPortugalete | 239 |
| @naizinfo | 233 |
| @gaztea | 227 | | | 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 |
| Erabiltzailea | Txiokopurua |
| --- | --- |
| @idorrokia | 1085 |
| @EuskalakariAEK | 910 |
| @korrikaaek | 614 | | | @HamaikaTb | 444 |
| --- | --- |
| @EAPortugalete | 239 |
| @naizinfo | 233 |
| @gaztea | 227 |
| @berria | 216 |
| @euskalirratiak | 208 |
| @anabarri72 | 204 | | 1 |
| Erabiltzailea | Txiokopurua |
| --- | --- |
| @idorrokia | 1085 |
| @EuskalakariAEK | 910 |
| @korrikaaek | 614 | | | 0.7500 | eykhof | sliz |
| --- | --- | --- |
| 0.7429 | keays | goeby |
| 0.7586 | lera | pagni |
| 0.7391 | tempalar | sedcole | | 0 |
| Type |
| --- |
| 1×1conv |
| 3×3conv<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 1×1conv | | | globalaverage-pooling |
| --- |
| softmax10 | | 1 |
| Type |
| --- |
| 1×1conv |
| 3×3conv<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 1×1conv | | | Layer | LayerType | Size | OutputShape |
| --- | --- | --- | --- |
| 1 | Convolution+Maxout | 488×8filters | |
| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |
| 2 | Convolution+Maxout | 488×8filters | |
| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride... | 0 |
| Type |
| --- |
| 1×1conv |
| 3×3conv<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 1×1conv | | | globalaverage-pooling |
| --- |
| softmax10 | | 1 |
| Type |
| --- |
| 1×1conv |
| 3×3conv<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 3×3conv,stride2<br>3×3conv |
| 1×1conv | | | 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| --- | --- | --- | --- |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path |
| --- | --- | --- |
| All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l |
| Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l | | | Attributedall-paths | N/A | O(h\|V\|max\|V\|)(n+d+h)l |
| --- | --- | --- |
| Attributedroot-paths | N/A | O(hmax\|V\|)(n+d+h)l |
| Attributedlinearroot-paths | N/A | O(\|V\|hnd) |
| Pointcloudkernel | N/A | O(\|V\|nd) | | 1 |
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path |
| --- | --- | --- |
| All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l |
| Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l | | | Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
| D | thesetofflowdemands |
| δ(v) | theedgesleavingvertexv |
| δ(v) | theedgesenteringvertexv |
| P | thesetofwalksfromsourcestodestinations |
| p<br>i,π | walk-... | 0 |
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path |
| --- | --- | --- |
| All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l |
| Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l |
| Attributedall-paths | N/A | O(h\|V\|max\|V\|)(n+d+h)l | | | Attributedroot-paths | N/A | O(hmax\|V\|)(n+d+h)l |
| --- | --- | --- |
| Attributedlinearroot-paths | N/A | O(\|V\|hnd) |
| Pointcloudkernel | N/A | O(\|V\|nd) | | 1 |
| | Embeddedpaths<br>(mlandmarkpoints) | Node-path |
| --- | --- | --- |
| All-paths | O(\|V\|mn) | O(\|V\|hmax\|V\|(n+h)l |
| Root-paths | O(\|V\|mn) | O(hmax\|V\|)(n+h)l |
| Attributedall-paths | N/A | O(h\|V\|max\|V\|)(n+d+h)l | | | p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv |
| --- | --- |
| f(e)i | edge-based;theamountofflowithat<br>traverseseonitswayfromstotii |
| w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii |
| p(v)i | edge-based;theamountofprocessingdoneat<br>nodev... | 0 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 | | | 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |
| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 ... | 1 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 | | | MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |
| 41.16 | 41.91 | ... | 0 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |
| 24.56 | 27.72 | ... | | 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |
| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 ... | 1 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |
| 24.56 | 27.72 | ... | | 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |
| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 ... | 0 |
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