premise string | hypothesis string | label int64 |
|---|---|---|
| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |
| --- | --- | --- | --- | --- | --- |
| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 | | | R-LWEenc | 128(pre) | S6LX9 | 144 | 136,986 | 946 |
| --- | --- | --- | --- | --- | --- |
| 189 | 66,338 | 351 | | | |
| BLISS | 128(pre) | S6LX25 | 129 | 16,210 | 126.6 |
| 142 | 9,835 | 69.3 | | | |
| IBE | 80(pre) | S6LX25 | 174 | 13,958/9,530 | 80.2/54.8 | | 1 |
| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |
| --- | --- | --- | --- | --- | --- |
| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 | | | Device | GTX560Ti | GTX780 | GTX980 |
| --- | --- | --- | --- |
| W(byte/cycle)bank | 2 | 8 | 4 |
| f(GHz)core | 0.950 | 1.006 | 1.279 |
| W(GB/s)SM | 60.80 | 257.54 | 163.84 |
| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 | | 0 |
| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |
| --- | --- | --- | --- | --- | --- |
| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 |
| R-LWEenc | 128(pre) | S6LX9 | 144 | 136,986 | 946 | | | 189 | 66,338 | 351 | | | |
| --- | --- | --- | --- | --- | --- |
| BLISS | 128(pre) | S6LX25 | 129 | 16,210 | 126.6 |
| 142 | 9,835 | 69.3 | | | |
| IBE | 80(pre) | S6LX25 | 174 | 13,958/9,530 | 80.2/54.8 | | 1 |
| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |
| --- | --- | --- | --- | --- | --- |
| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 |
| R-LWEenc | 128(pre) | S6LX9 | 144 | 136,986 | 946 | | | W(GB/s)SM | 60.80 | 257.54 | 163.84 |
| --- | --- | --- | --- |
| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 | | 0 |
| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |
| 31.17 | 30.67 | 31.61 | 30.80 | 32... | | 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 | | 1 |
| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |
| 31.17 | 30.67 | 31.61 | 30.80 | 32... | | Figure | a | b | γ | Initialcondition | No.oftrials/<br>samples |
| --- | --- | --- | --- | --- | --- |
| ?? | 4 | - | - | 0.1 | 100samples |
| ?? | - | - | - | - | 100samples |
| ?? | 4 | - | - | 0.1 | 5,000samples |
| ?? | - | - | - | - | 5,000samples |
| ?? | 0to4 | - | - | 0.1 | 250samples |
| ?? | 2.0to2.4 | - |... | 0 |
| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |
| 31.17 | 30.67 | 31.61 | 30.80 | 32... | | 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |
| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 | | 1 |
| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |
| 31.17 | 30.67 | 31.61 | 30.80 | 32... | | ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |
| --- | --- | --- | --- | --- | --- |
| ?? | sameasbelow | sameasbelow | 0to1step0.1 | sameasbelow | 5,000trials |
| ??<br>Logistic<br>Sinusoidal<br>Tent<br>Gaussian<br>Henon<br>Lozi | -<br>4<br>2.27<br>1.9<br>-<br>1.7<br>1.7 | -<br>-<br>-<br>-<br>-<br>0<br>0 |... | 0 |
| | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |
| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.28... | | DH-3 | – | – | – | 0.552 | 0.566 | 0.581 | – | – | – |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DeepHash | 0.9918 | 0.9931 | 0.9938 | 0.6874 | 0.7289 | 0.7410 | 0.5487 | 0.5552 | 0.5615 | | 1 |
| | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |
| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.28... | | CIFAR-10 | NUS-WIDE | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |
| 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.... | 0 |
| | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |
| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.28... | | MLH | 0.6731 | 0.4404 | 0.4258 | 0.1737 | 0.1675 | 0.1737 | 0.2000 | 0.2115 | 0.2162 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KSH | 0.9537 | 0.9713 | 0.9817 | 0.3441 | 0.4617 | 0.5482 | 0.2862 | 0.3668 | 0.4132 |
| DH-1 | 0.957 | 0.963 | 0.960 | 0.439 | 0.511 | 0.522 | – | – | – |
| DH∗-1 | 0... | 1 |
| | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |
| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.28... | | 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |
| -... | 0 |
| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |
| --- | --- | --- | --- | --- |
| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |
| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |
| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - | | | balance | 1.000±0.000(6) | 1.000±0.000(500) | - | 0.579±0.106 |
| --- | --- | --- | --- | --- |
| australian | 0.913±0.034(256) | 0.930±0.020(552) | 0.925±0.021 | 0.927±0.016 |
| vechile | 0.977±0.022(431) | 0.995±0.002(677) | - | 0.818±0.026 |
| fourclass | 0.999±0.000(108) | 1.000±0.000(690) | 0.829±0.036 | - |
| s... | 1 |
| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |
| --- | --- | --- | --- | --- |
| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |
| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |
| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - | | | k..kminmax | c±se | c±soute | c±sine |
| --- | --- | --- | --- |
| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |
| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |
| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |
| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |
| 32..64 |... | 0 |
| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |
| --- | --- | --- | --- | --- |
| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |
| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |
| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - | | | balance | 1.000±0.000(6) | 1.000±0.000(500) | - | 0.579±0.106 |
| --- | --- | --- | --- | --- |
| australian | 0.913±0.034(256) | 0.930±0.020(552) | 0.925±0.021 | 0.927±0.016 |
| vechile | 0.977±0.022(431) | 0.995±0.002(677) | - | 0.818±0.026 |
| fourclass | 0.999±0.000(108) | 1.000±0.000(690) | 0.829±0.036 | - |
| s... | 1 |
| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |
| --- | --- | --- | --- | --- |
| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |
| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |
| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - | | | 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |
| --- | --- | --- | --- |
| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |
| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 | | 0 |
| Model | R-1 | R-2 | R-L |
| --- | --- | --- | --- |
| LSTM(standard) | 32.13 | 11.73 | 29.26 |
| LSTM(attention) | 34.17 | 11.97 | 30.13 |
| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 | | | Location-basedmodel(decoderandencoder) | 35.42 | 12.27 | 30.97 |
| --- | --- | --- | --- |
| User-basedmodel(decoderandencoder) | 32.67 | 11.79 | 29.39 |
| Socialusermodel(standard) | 36.8 | 12.83 | 31.24 |
| Socialusermodel(tuned) | 37.21 | 13.48 | 32.60 | | 1 |
| Model | R-1 | R-2 | R-L |
| --- | --- | --- | --- |
| LSTM(standard) | 32.13 | 11.73 | 29.26 |
| LSTM(attention) | 34.17 | 11.97 | 30.13 |
| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 | | | Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |
| --- | --- | --- | --- | --- | --- | --- |
| Targetsnippetlength=5sentence | | | | | | |
| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |
| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |
| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 |... | 0 |
| Model | R-1 | R-2 | R-L |
| --- | --- | --- | --- |
| LSTM(standard) | 32.13 | 11.73 | 29.26 |
| LSTM(attention) | 34.17 | 11.97 | 30.13 |
| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 |
| Location-basedmodel(decoderandencoder) | 35.42 | 12.27 | 30.97 |
| User-basedmodel(decoderandencoder) | 32.67 | 11.79 | ... | | Socialusermodel(standard) | 36.8 | 12.83 | 31.24 |
| --- | --- | --- | --- |
| Socialusermodel(tuned) | 37.21 | 13.48 | 32.60 | | 1 |
| Model | R-1 | R-2 | R-L |
| --- | --- | --- | --- |
| LSTM(standard) | 32.13 | 11.73 | 29.26 |
| LSTM(attention) | 34.17 | 11.97 | 30.13 |
| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 |
| Location-basedmodel(decoderandencoder) | 35.42 | 12.27 | 30.97 |
| User-basedmodel(decoderandencoder) | 32.67 | 11.79 | ... | | AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |
| --- | --- | --- | --- | --- | --- | --- |
| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |
| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |
| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |
| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |
| TextRank | 0.31 | ... | 0 |
| Student | Obtainedscore | NormalizedFinalScore |
| --- | --- | --- |
| 1 | 0.5 | 36.67 |
| 2 | 1 | 43.65 |
| 3 | 1 | 44.92 | | | 4 | 0.75 | 48.46 |
| --- | --- | --- |
| 5 | 1 | 49.23 |
| 6 | 0.75 | 49.50 |
| 7 | 0 | 50.70 |
| 8 | 0 | 60.61 |
| 9 | 0 | 61.75 | | 1 |
| Student | Obtainedscore | NormalizedFinalScore |
| --- | --- | --- |
| 1 | 0.5 | 36.67 |
| 2 | 1 | 43.65 |
| 3 | 1 | 44.92 | | | Student | Obtainedscore | FinalScore |
| --- | --- | --- |
| 1 | 1 | 50.32 |
| 2 | 0 | 59.89 |
| 3 | 0 | 61.63 |
| 4 | 1 | 66.50 |
| 5 | 1 | 67.54 |
| 6 | 0 | 67.92 |
| 7 | 1 | 69.57 |
| 8 | 0 | 83.16 |
| 9 | 0 | 84.73 | | 0 |
| Student | Obtainedscore | NormalizedFinalScore |
| --- | --- | --- |
| 1 | 0.5 | 36.67 |
| 2 | 1 | 43.65 |
| 3 | 1 | 44.92 | | | 4 | 0.75 | 48.46 |
| --- | --- | --- |
| 5 | 1 | 49.23 |
| 6 | 0.75 | 49.50 |
| 7 | 0 | 50.70 |
| 8 | 0 | 60.61 |
| 9 | 0 | 61.75 | | 1 |
| Student | Obtainedscore | NormalizedFinalScore |
| --- | --- | --- |
| 1 | 0.5 | 36.67 |
| 2 | 1 | 43.65 |
| 3 | 1 | 44.92 | | | 2 | 0 | 59.89 |
| --- | --- | --- |
| 3 | 0 | 61.63 |
| 4 | 1 | 66.50 |
| 5 | 1 | 67.54 |
| 6 | 0 | 67.92 |
| 7 | 1 | 69.57 |
| 8 | 0 | 83.16 |
| 9 | 0 | 84.73 | | 0 |
| ParticipantsLivDet2009 | AlgorithmName |
| --- | --- |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| Anonymous | Anonymous |
| Anonymous2 | Anonymous2 |
| ParticipantsLivDet2011 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversityofNaplesFedericoII ... | | FirstAnonymousparticipant | Anonym1 |
| --- | --- |
| SecondAnonymousparticipant | Anonym2 |
| ThirdAnonymousparticipant | Anonym3 |
| ParticipantsLivDet2015 | AlgorithmName |
| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |
| InstituteforInfocommResearch(I2R) | CSI |
| InstituteforInfocommResearch(I2R) | C... | 1 |
| ParticipantsLivDet2009 | AlgorithmName |
| --- | --- |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| Anonymous | Anonymous |
| Anonymous2 | Anonymous2 |
| ParticipantsLivDet2011 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversityofNaplesFedericoII ... | | Participants | Algorithmnames |
| --- | --- |
| SupremaIDInc. | SSLFD |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |
| OKIBrasil | OKIBrB20 |
| OKIBrasil | OKIBrB30 |
| ZhejiangUniversityofTechnology | ZYL1 |
| ZhejiangUniversityofTechnology | ZYL2 |
| Anonymous0 | S... | 0 |
| ParticipantsLivDet2009 | AlgorithmName |
| --- | --- |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| Anonymous | Anonymous |
| Anonymous2 | Anonymous2 |
| ParticipantsLivDet2011 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversityofNaplesFedericoII ... | | ThirdAnonymousparticipant | Anonym3 |
| --- | --- |
| ParticipantsLivDet2015 | AlgorithmName |
| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |
| InstituteforInfocommResearch(I2R) | CSI |
| InstituteforInfocommResearch(I2R) | CSIMM |
| Dermalog | hbirkholz |
| UniversidadeFederaldePernambuco | hectorn |
| A... | 1 |
| ParticipantsLivDet2009 | AlgorithmName |
| --- | --- |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| Anonymous | Anonymous |
| Anonymous2 | Anonymous2 |
| ParticipantsLivDet2011 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversityofNaplesFedericoII ... | | Anonymous1 | PBLivDet1 |
| --- | --- |
| Anonymous1 | PBLivDet2 |
| KAIST | hanulj |
| Anonymous2 | SpoofWit |
| UniversityofNaplesFedericoII | LCPD |
| CENATAV | PADfV | | 0 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.06 | . | .81 | | | DecayFunctionatAll | 2.28 | . | .13 |
| --- | --- | --- | --- |
| DocumentContentatSlidingwindow | 9.96 | . | .00 |
| DocumentContentatExponentialdecay | 1.19 | . | .28 | | 1 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.06 | . | .81 | | | Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.08 | .20 | .78 |
| DecayFunctionatAll | 4.99 | .30 | .03 |
| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |
| DocumentContentatExponentialdecay | 0.00 | .00 | .97 | | 0 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.06 | . | .81 | | | DecayFunctionatAll | 2.28 | . | .13 |
| --- | --- | --- | --- |
| DocumentContentatSlidingwindow | 9.96 | . | .00 |
| DocumentContentatExponentialdecay | 1.19 | . | .28 | | 1 |
| Factor | F | η | p |
| --- | --- | --- | --- |
| DecayFunctionatTitle | 0.06 | . | .81 | | | DecayFunctionatAll | 4.99 | .30 | .03 |
| --- | --- | --- | --- |
| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |
| DocumentContentatExponentialdecay | 0.00 | .00 | .97 | | 0 |
| | English | German | Hungarian | Icelandic | Swedish | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | |
| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 |... | | Transformer | 96.33 | 1.17 | 95.70 | 0.48 | 92.94 | 0.80 | 91.60 | 5.15 | 89.48 | 0.49 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BPE-Soft | 96.19 | 1.18 | 96.96 | 0.32 | 92.74 | 0.78 | 92.14 | 4.95 | 91.56 | 0.35 | | 1 |
| | English | German | Hungarian | Icelandic | Swedish | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | |
| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 |... | | | CROATIAN | ENGLISH | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |
| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |
| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 589... | 0 |
| | English | German | Hungarian | Icelandic | Swedish | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | |
| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 |... | | Transformer | 96.33 | 1.17 | 95.70 | 0.48 | 92.94 | 0.80 | 91.60 | 5.15 | 89.48 | 0.49 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BPE-Soft | 96.19 | 1.18 | 96.96 | 0.32 | 92.74 | 0.78 | 92.14 | 4.95 | 91.56 | 0.35 | | 1 |
| | English | German | Hungarian | Icelandic | Swedish | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | |
| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 |... | | N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |
| C | 0.167 | 0.1... | 0 |
| RepresentationType | T=50 | T=100 | T=500 |
| --- | --- | --- | --- |
| Abstract | 0.722 | 0.829 | 0.928 |
| Keywords | 0.081 | 0.117 | 0.152 | | | Concept1 | 0.766 | 0.893 | 0.970 |
| --- | --- | --- | --- |
| Concept2 | 0.295 | 0.398 | 0.579 | | 1 |
| RepresentationType | T=50 | T=100 | T=500 |
| --- | --- | --- | --- |
| Abstract | 0.722 | 0.829 | 0.928 |
| Keywords | 0.081 | 0.117 | 0.152 | | | Informationgainratio | Attribute |
| --- | --- |
| 1 | totalread |
| 0.1842 | wordlength |
| 0.1611 | totalfastasize |
| 0.1208 | totalgenomes |
| 0.0421 | length |
| 0.0271 | similarity | | 0 |
| RepresentationType | T=50 | T=100 | T=500 |
| --- | --- | --- | --- |
| Abstract | 0.722 | 0.829 | 0.928 |
| Keywords | 0.081 | 0.117 | 0.152 | | | Concept1 | 0.766 | 0.893 | 0.970 |
| --- | --- | --- | --- |
| Concept2 | 0.295 | 0.398 | 0.579 | | 1 |
| RepresentationType | T=50 | T=100 | T=500 |
| --- | --- | --- | --- |
| Abstract | 0.722 | 0.829 | 0.928 |
| Keywords | 0.081 | 0.117 | 0.152 | | | 0.1611 | totalfastasize |
| --- | --- |
| 0.1208 | totalgenomes |
| 0.0421 | length |
| 0.0271 | similarity | | 0 |
| 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 | | 1 |
| 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 | | | 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 | 0.51... | 0 |
| 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 | | 1 |
| 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 | | | 0.05 | 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 | | 0 |
| DatasetName | #Model | #Scene |
| --- | --- | --- |
| RandomViews | 6 | 36 |
| LaserScanner | 5 | 10 | | | LIDAR | 5 | 10 |
| --- | --- | --- |
| Retrieval | 6 | 18 | | 1 |
| DatasetName | #Model | #Scene |
| --- | --- | --- |
| RandomViews | 6 | 36 |
| LaserScanner | 5 | 10 | | | Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |
| --- | --- | --- | --- | --- | --- | --- |
| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |
| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |
| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.... | 0 |
| DatasetName | #Model | #Scene |
| --- | --- | --- |
| RandomViews | 6 | 36 | | | LaserScanner | 5 | 10 |
| --- | --- | --- |
| LIDAR | 5 | 10 |
| Retrieval | 6 | 18 | | 1 |
| DatasetName | #Model | #Scene |
| --- | --- | --- |
| RandomViews | 6 | 36 | | | LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |
| --- | --- | --- | --- | --- | --- | --- |
| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 | | 0 |
| | k=5 | k=10 | k=15 | k=20 |
| --- | --- | --- | --- | --- |
| k-means | 0.539 | 0.443 | 0.402 | 0.387 |
| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |
| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |
| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |
| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |
| BKM(rnd)+Fast | 0.506 | 0.419 | ... | | BsBKM(non) | 0.514 | 0.388 | 0.353 | 0.329 |
| --- | --- | --- | --- | --- |
| RBK | 0.486 | 0.402 | 0.366 | 0.339 | | 1 |
| | k=5 | k=10 | k=15 | k=20 |
| --- | --- | --- | --- | --- |
| k-means | 0.539 | 0.443 | 0.402 | 0.387 |
| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |
| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |
| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |
| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |
| BKM(rnd)+Fast | 0.506 | 0.419 | ... | | InitializationMethod | #ofiteration | VPC | VCL | FB | FW |
| --- | --- | --- | --- | --- | --- |
| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |
| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |
| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |
| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440... | 0 |
| | k=5 | k=10 | k=15 | k=20 |
| --- | --- | --- | --- | --- |
| k-means | 0.539 | 0.443 | 0.402 | 0.387 |
| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |
| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |
| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |
| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |
| BKM(rnd)+Fast | 0.506 | 0.419 | ... | | BsKM | 0.532 | 0.438 | 0.410 | 0.373 |
| --- | --- | --- | --- | --- |
| BsKM++ | 0.507 | 0.422 | 0.400 | 0.379 |
| BsBKM(non) | 0.514 | 0.388 | 0.353 | 0.329 |
| RBK | 0.486 | 0.402 | 0.366 | 0.339 | | 1 |
| | k=5 | k=10 | k=15 | k=20 |
| --- | --- | --- | --- | --- |
| k-means | 0.539 | 0.443 | 0.402 | 0.387 |
| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |
| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |
| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |
| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |
| BKM(rnd)+Fast | 0.506 | 0.419 | ... | | K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |
| --- | --- | --- | --- | --- | --- |
| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 | | 0 |
| Algorithm | Spouse | Education | Job |
| --- | --- | --- | --- |
| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |
| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 |
| HDV | 0.4526 | 0.8901 | 0.521 | | | Ours(User=0) | 0.5416 | 0.9098 | 0.5935 |
| --- | --- | --- | --- |
| Ours(User=1) | 0.4082 | 0.9274 | 0.6067 | | 1 |
| Algorithm | Spouse | Education | Job |
| --- | --- | --- | --- |
| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |
| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 |
| HDV | 0.4526 | 0.8901 | 0.521 | | | | Customer | Agent | | |
| --- | --- | --- | --- | --- |
| | F1-score | ARI | F1-score | ARI |
| K-means(Doc2Vec) | 0.787 | 0.150 | 0.783 | 0.136 |
| SimCluster(Doc2Vec) | 0.88 | 0.19 | 0.887 | 0.192 |
| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |
| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 | | 0 |
| Algorithm | Spouse | Education | Job |
| --- | --- | --- | --- |
| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |
| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 | | | HDV | 0.4526 | 0.8901 | 0.521 |
| --- | --- | --- | --- |
| Ours(User=0) | 0.5416 | 0.9098 | 0.5935 |
| Ours(User=1) | 0.4082 | 0.9274 | 0.6067 | | 1 |
| Algorithm | Spouse | Education | Job |
| --- | --- | --- | --- |
| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |
| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 | | | K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |
| --- | --- | --- | --- | --- |
| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 | | 0 |
| FirstExperiment | SecondExperiment | | | |
| --- | --- | --- | --- | --- |
| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |
| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |
| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,199... | | ClipTest250 | 0,548647±0,240311 | 0,754679±0,15476 | 0,41965±0,28409 | 0,72621±0,15028 |
| --- | --- | --- | --- | --- |
| ClipTest300 | 0,58236±0,22632 | 0,66156±0,16352 | 0,33808±0,19672 | 0,79186±0,09732 |
| ClipTest350 | 0,67679±0,29777 | 0,739803±0,16859 | 0,47971±0,40607 | 0,80467±0,15750 |
| ClipTest500 | 0,58... | 1 |
| FirstExperiment | SecondExperiment | | | |
| --- | --- | --- | --- | --- |
| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |
| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |
| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,199... | | VideoName | Gaze-fixvsGBVS | Gaze-fixvsSignatureSal | Gaze-fixvsSeo | Gaze-fixvsDeepRGB8k |
| --- | --- | --- | --- | --- |
| clipTest1 | 0,81627±0,10087 | 0,69327±0,13647 | 0,50090±0,06489 | 0,725073±0,168168 |
| clipTest56 | 0,76594±0,11569 | 0,75797±0,08650 | 0,64172±0,11630 | 0,82244±0,07295 |
| clipTest105 | 0,6... | 0 |
| FirstExperiment | SecondExperiment | | | |
| --- | --- | --- | --- | --- |
| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |
| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |
| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,199... | | ClipTest350 | 0,67679±0,29777 | 0,739803±0,16859 | 0,47971±0,40607 | 0,80467±0,15750 |
| --- | --- | --- | --- | --- |
| ClipTest500 | 0,58351±0,20639 | 0,75242±0,15365 | 0,36761±0,36777 | 0,82230±0,15196 |
| ClipTest704 | 0,59292±0,18421 | 0,68858±0,16278 | 0,46192±0,21286 | 0,76831±0,11186 |
| ClipTest752 | 0,41710... | 1 |
| FirstExperiment | SecondExperiment | | | |
| --- | --- | --- | --- | --- |
| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |
| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |
| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,199... | | clipTest350 | 0,65136±0,16637 | 0,68849±0,249027 | 0,57134±0,12408 | 0,72284±0,16996 |
| --- | --- | --- | --- | --- |
| clipTest500 | 0,82347±0,13901 | 0,84531±0,15070 | 0,75748±0,15382 | 0,85621±0,16137 |
| ClipTest704 | 0,80168±0,08349 | 0,85520±0,06826 | 0,57703±0,07959 | 0,78256±0,09523 |
| ClipTest752 | 0,73288... | 0 |
| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |
| --- | --- | --- | --- | --- |
| Resultsoverthecompletedatabase | | | | | | | MP-D(α=6)<br>MP-G(α=6)<br>GREEDY | 0.56<br>0.49<br>0.57 | 0.54<br>0.43<br>0.54 | 0.09<br>0.16<br>0.12 | 0.07<br>0.12<br>0.10 |
| --- | --- | --- | --- | --- |
| Resultsoverthe100testimages | | | | |
| MP-D(α=6)<br>MP-S(α=21)<br>MP-M(α=50)<br>MP-M(α=150) | 0.56<br>0.46<br>0.41<br>0.38 | 0.54<br>0.41<br>0.31<br>0.1... | 1 |
| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |
| --- | --- | --- | --- | --- |
| Resultsoverthecompletedatabase | | | | | | | Denoising | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Berkeley1 | Berkeley2 | Berkeley3 | Run<br>Time | | | | | | |
| Method | Dic.<br>Size | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | |
| Proposed... | 0 |
| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |
| --- | --- | --- | --- | --- |
| Resultsoverthecompletedatabase | | | | | | | MP-D(α=6)<br>MP-G(α=6)<br>GREEDY | 0.56<br>0.49<br>0.57 | 0.54<br>0.43<br>0.54 | 0.09<br>0.16<br>0.12 | 0.07<br>0.12<br>0.10 |
| --- | --- | --- | --- | --- |
| Resultsoverthe100testimages | | | | |
| MP-D(α=6)<br>MP-S(α=21)<br>MP-M(α=50)<br>MP-M(α=150) | 0.56<br>0.46<br>0.41<br>0.38 | 0.54<br>0.41<br>0.31<br>0.1... | 1 |
| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |
| --- | --- | --- | --- | --- |
| Resultsoverthecompletedatabase | | | | | | | SPGL1<br>FPCAS<br>GPSR | 4k<br>4k<br>4k | 14.92<br>13.64<br>18.72 | 95.81<br>124.2<br>30.29 | 16.06<br>14.85<br>20.40 | 90.42<br>123.0<br>26.55 | 16.34<br>14.85<br>19.36 | 80.96<br>123.0<br>39.81 | 1272x<br>1763x<br>460x | 17.27<br>17.24<br>17.24 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KD-Tr... | 0 |
| | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |
| --- | --- | --- | --- | --- | --- |
| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 | | | Q2 | NaN | NaN | 40100.8 | 20337.06 | 3409.26 |
| --- | --- | --- | --- | --- | --- |
| Q3 | NaN | NaN | NaN | 11289.52 | 4986.74 |
| Q4 | NaN | NaN | NaN | 20473.61 | 9460.20 |
| Q5 | NaN | NaN | NaN | 12458.17 | 1767.69 |
| Q7 | NaN | NaN | NaN | 29989.26 | 14556.21 |
| Q8 | NaN | NaN | NaN | NaN | 6058.42 |
| Q9 |... | 1 |
| | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |
| --- | --- | --- | --- | --- | --- |
| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 | | | | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |
| --- | --- | --- | --- | --- | --- |
| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |
| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |
| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |
| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |
| Q5 | 539.37 | 437.27 | 264.13 | ... | 0 |
| | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |
| --- | --- | --- | --- | --- | --- |
| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 |
| Q2 | NaN | NaN | 40100.8 | 20337.06 | 3409.26 |
| Q3 | NaN | NaN | NaN | 11289.52 | 4986.74 |
| Q4 | NaN | NaN | NaN | 20473.61 | 9460.20 |
| Q5 | NaN | NaN | NaN | 12458.17 | 176... | | Q10 | NaN | NaN | NaN | NaN | 9007.57 |
| --- | --- | --- | --- | --- | --- |
| Q11 | NaN | NaN | NaN | NaN | 36.86 |
| Q12 | NaN | NaN | NaN | NaN | 1851.97 | | 1 |
| | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |
| --- | --- | --- | --- | --- | --- |
| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 |
| Q2 | NaN | NaN | 40100.8 | 20337.06 | 3409.26 |
| Q3 | NaN | NaN | NaN | 11289.52 | 4986.74 |
| Q4 | NaN | NaN | NaN | 20473.61 | 9460.20 |
| Q5 | NaN | NaN | NaN | 12458.17 | 176... | | Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |
| --- | --- | --- | --- | --- | --- |
| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |
| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |
| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |
| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |
| Q15 | 36.90 | 32.04 | 36.53 | ... | 0 |
| Wittgenstein | Medline |
| --- | --- |
| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin | | | SatzderMathematik | wasobservedinthegroups |
| --- | --- |
| aberdochsehrwohldenSatz | betweenthoseobtainedwith |
| it’snonsensetosaythat | isusedforthetreatmentof |
| wesaythathesees | thetreatmentgroups |
| einbesondererFall | Thetwogroupswerefoundto |
| AberhatteeraucheinBild | treatmentofpatientswith |
| dasgleic... | 1 |
| Wittgenstein | Medline |
| --- | --- |
| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin | | | Topic# | TopWords |
| --- | --- |
| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |
| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |
| 3 | scariestpestknowinglycausingflub<br>mesmerizedawnedmillenniumecologicalecolog... | 0 |
| Wittgenstein | Medline |
| --- | --- |
| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |
| SatzderMathematik | wasobservedinthegroups |
| aberdochsehrwohldenSatz | betweenthoseobtainedwith |
| it’snonsensetosaythat | isusedforthetreatmentof | | | wesaythathesees | thetreatmentgroups |
| --- | --- |
| einbesondererFall | Thetwogroupswerefoundto |
| AberhatteeraucheinBild | treatmentofpatientswith |
| dasgleicheBildzuihrerDarstellung | Wepresenttheresultsobtained |
| Erkl¨arungderBedeutung | wereobtainedfrompatientsduring |
| BedeutungdesZeichens | reportedbyth... | 1 |
| Wittgenstein | Medline |
| --- | --- |
| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |
| SatzderMathematik | wasobservedinthegroups |
| aberdochsehrwohldenSatz | betweenthoseobtainedwith |
| it’snonsensetosaythat | isusedforthetreatmentof | | | 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |
| --- | --- |
| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |
| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |
| 12 | offsettingpreparingacknowledgmentagreemisstatin... | 0 |
| Name | optimized? | area | tokens | components |
| --- | --- | --- | --- | --- |
| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |
| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |
| Ottawacoursecodes | unoptimized<br>optimized | 52... | | LISP1.5 | unoptimized<br>optimized | 165<br>105 | 19<br>9 | 6<br>1 |
| --- | --- | --- | --- | --- |
| JSON | unoptimized<br>optimized | 539<br>651 | 90<br>42 | 15<br>5 | | 1 |
| Name | optimized? | area | tokens | components |
| --- | --- | --- | --- | --- |
| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |
| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |
| Ottawacoursecodes | unoptimized<br>optimized | 52... | | name | AB | FDCS | ABCS | FINDER | FMC | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |
| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |
| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<b... | 0 |
| Name | optimized? | area | tokens | components |
| --- | --- | --- | --- | --- |
| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |
| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |
| Ottawacoursecodes | unoptimized<br>optimized | 52... | | Nonemptydatafiles<br>(repetitive) | unoptimized<br>optimized | 182<br>132 | 22<br>11 | 8<br>3 |
| --- | --- | --- | --- | --- |
| Nonemptydatafiles<br>(recursive) | unoptimized<br>optimized | 143<br>130 | 22<br>7 | 7<br>1 |
| Pascalvariabledeclarations | unoptimized<br>optimized | 156<br>247 | 21<br>12 | 7<br>3 |
| Pas... | 1 |
| Name | optimized? | area | tokens | components |
| --- | --- | --- | --- | --- |
| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |
| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |
| Ottawacoursecodes | unoptimized<br>optimized | 52... | | appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| multiseto<br>multisetl | 10<br>3 | 7... | 0 |
| Process | Outputlevel | Bins |
| --- | --- | --- |
| STFT | spectrogram | 2049 |
| Linear-LogMapping | log-spectrogram | 252 | | | Tuning | notegram | 252 |
| --- | --- | --- |
| NNLS | NNLSnotegram | 84 |
| Bass-trebleProfiling | (bass-treble)chromagram | 24 | | 1 |
| Process | Outputlevel | Bins |
| --- | --- | --- |
| STFT | spectrogram | 2049 |
| Linear-LogMapping | log-spectrogram | 252 | | | Set<br>Label | Non-Temporal | Temporal | | | |
| --- | --- | --- | --- | --- | --- |
| ROP | Stage1 | Stage2 | Stage1 | Stage2 | |
| Instruction-levelEvents | | | | | |
| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |
| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |
| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.82... | 0 |
| Process | Outputlevel | Bins |
| --- | --- | --- |
| STFT | spectrogram | 2049 |
| Linear-LogMapping | log-spectrogram | 252 |
| Tuning | notegram | 252 | | | NNLS | NNLSnotegram | 84 |
| --- | --- | --- |
| Bass-trebleProfiling | (bass-treble)chromagram | 24 | | 1 |
| Process | Outputlevel | Bins |
| --- | --- | --- |
| STFT | spectrogram | 2049 |
| Linear-LogMapping | log-spectrogram | 252 |
| Tuning | notegram | 252 | | | M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |
| --- | --- | --- | --- | --- | --- |
| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |
| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |
| BothInstruction-levelandMicroarchitecturalEvents | | | | | |
| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |
| AM-1 | 0.678 | 0.91... | 0 |
| meaningsofpunctualadverbials | |
| --- | --- |
| withstate | interjacent |
| withactivity | inchoativeorinterjacent |
| withculm.activity | inchoativeorterminal | | | withpoint | specifiestimeofinstantaneoussituation |
| --- | --- |
| Theresultingaspectualclassispoint. | | | 1 |
| meaningsofpunctualadverbials | |
| --- | --- |
| withstate | interjacent |
| withactivity | inchoativeorinterjacent |
| withculm.activity | inchoativeorterminal | | | u | auser |
| --- | --- |
| i | asocialmediaitem |
| Iu | thesetofu’ssocialmediaitems |
| c | aconcept |
| C | thesetofconcepts |
| d | acandidateitem(scientificpublication) |
| D | thesetofcandidateitems |
| t,tid | thetimestampofiandd,respectively |
| Pu | u’suserprofile |
| Pd | d’sdocumentprofile |
| Φ | aprofilingfu... | 0 |
| meaningsofpunctualadverbials | |
| --- | --- |
| withstate | interjacent |
| withactivity | inchoativeorinterjacent | | | withculm.activity | inchoativeorterminal |
| --- | --- |
| withpoint | specifiestimeofinstantaneoussituation |
| Theresultingaspectualclassispoint. | | | 1 |
| meaningsofpunctualadverbials | |
| --- | --- |
| withstate | interjacent |
| withactivity | inchoativeorinterjacent | | | d | acandidateitem(scientificpublication) |
| --- | --- |
| D | thesetofcandidateitems |
| t,tid | thetimestampofiandd,respectively |
| Pu | u’suserprofile |
| Pd | d’sdocumentprofile |
| Φ | aprofilingfunction |
| w | aweightingfunction(notconsideringtemporaldecay) |
| f | adecayfunction |
| w | aweightingfunctionthatex... | 0 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |
| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |
| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) |... | | Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |
| --- | --- | --- | --- | --- | --- |
| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |
| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |
| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78)... | 1 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |
| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |
| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) |... | | Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.369 | 368.298(1.94) | 184.141(3.88) | 92.165(7.76) | 53.453(13.38) |
| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |
| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | ... | 0 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |
| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |
| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) |... | | SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |
| --- | --- | --- | --- | --- | --- |
| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |
| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |
| Bart | 25.734 | 13.898(1.85) | 6.863... | 1 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |
| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |
| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) |... | | Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |
| --- | --- | --- | --- | --- | --- |
| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |
| SendMore | 115.183 | 65.271(1.76) | 31.447(3.66) | 16.496(6.98) | 9.686(11.89) |
| 8-Costas | 66.392 | 34.281(1.93)... | 0 |
| ∆t | BaselineI | BaselineII | BaselineIII | | | |
| --- | --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | |
| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |
| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) | | | 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |
| --- | --- | --- | --- | --- | --- | --- |
| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |
| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.... | 1 |
| ∆t | BaselineI | BaselineII | BaselineIII | | | |
| --- | --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | |
| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |
| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) | | | ∆T | δ=1 | δ=2 | δ=3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | |
| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |
| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |
| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 | | 0 |
| ∆t | BaselineI | BaselineII | BaselineIII | | |
| --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | | | 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |
| --- | --- | --- | --- | --- | --- | --- |
| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) |
| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.6... | 1 |
| ∆t | BaselineI | BaselineII | BaselineIII | | |
| --- | --- | --- | --- | --- | --- |
| ρ | R | ρ | R | ρ | R | | | 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |
| --- | --- | --- | --- | --- | --- | --- |
| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |
| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 | | 0 |
| Domain | TrainingData | | |
| --- | --- | --- | --- |
| DImageNet | EVT | E∪DVTImageNet | |
| Dog | 65.80 | 67.56 | 70.22 | | | Bird | 82.00 | 86.24 | 86.41 |
| --- | --- | --- | --- |
| Wheeled | 68.95 | 72.20 | 74.59 |
| Structure | 66.07 | 69.90 | 72.41 | | 1 |
| Domain | TrainingData | | |
| --- | --- | --- | --- |
| DImageNet | EVT | E∪DVTImageNet | |
| Dog | 65.80 | 67.56 | 70.22 | | | Domain | #Trainingsample |
| --- | --- |
| Amazon | 20 |
| DSLR | 8 |
| Virtual(-Gray) | 30 |
| ImageNet | 150-2000 | | 0 |
| Domain | TrainingData | |
| --- | --- | --- |
| DImageNet | EVT | E∪DVTImageNet | | | Dog | 65.80 | 67.56 | 70.22 |
| --- | --- | --- | --- |
| Bird | 82.00 | 86.24 | 86.41 |
| Wheeled | 68.95 | 72.20 | 74.59 |
| Structure | 66.07 | 69.90 | 72.41 | | 1 |
| Domain | TrainingData | |
| --- | --- | --- |
| DImageNet | EVT | E∪DVTImageNet | | | DSLR | 8 |
| --- | --- |
| Virtual(-Gray) | 30 |
| ImageNet | 150-2000 | | 0 |
| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |
| --- | --- | --- |
| Yeast | 32.5 | 30.3 |
| SN12C | 25.8 | 23.7 | | | P388 | 11.7 | 10.2 |
| --- | --- | --- |
| NCI-H23 | 23.5 | 22 |
| OVCAR-8 | 24.9 | 23.4 |
| Synthetic | 22.9 | 17.1 | | 1 |
| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |
| --- | --- | --- |
| Yeast | 32.5 | 30.3 |
| SN12C | 25.8 | 23.7 | | | Graph<br>G=(V,E) | n=<br>\|V\| | m=<br>\|E\| | diameter<br>diam(G) | radius<br>rad(G) |
| --- | --- | --- | --- | --- |
| PPI | 1458 | 1948 | 19 | 11 |
| Yeast | 2224 | 6609 | 11 | 6 |
| DutchElite | 3621 | 4311 | 22 | 12 |
| EPA | 4253 | 8953 | 10 | 6 |
| EVA | 4475 | 4664 | 18 | 10 |
| California | 5925 | 15770 | 1... | 0 |
| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |
| --- | --- | --- |
| Yeast | 32.5 | 30.3 |
| SN12C | 25.8 | 23.7 |
| P388 | 11.7 | 10.2 | | | NCI-H23 | 23.5 | 22 |
| --- | --- | --- |
| OVCAR-8 | 24.9 | 23.4 |
| Synthetic | 22.9 | 17.1 | | 1 |
| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |
| --- | --- | --- |
| Yeast | 32.5 | 30.3 |
| SN12C | 25.8 | 23.7 |
| P388 | 11.7 | 10.2 | | | Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |
| --- | --- | --- | --- | --- |
| ASCaida20071105 | 26475 | 53381 | 17 | 9 |
| Dimes3/2010 | 26424 | 90267 | 8 | 4 |
| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |
| ASCaida20120601 | 41203 | 121309 | 10 | 5 |
| itdk0304 | 190914 | 607610 | 26 | 14 |
| DBLB-coauth | ... | 0 |
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