premise string | hypothesis string | label int64 |
|---|---|---|
| Segmenttype | H | L | S | HL | LH |
| --- | --- | --- | --- | --- | --- |
| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |
| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |
| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |
| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |
| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 | | | Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |
| --- | --- | --- | --- | --- | --- |
| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |
| Affricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |
| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |
| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |
| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 | | 1 |
| Segmenttype | H | L | S | HL | LH |
| --- | --- | --- | --- | --- | --- |
| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |
| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |
| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |
| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |
| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 | | | Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |
| --- | --- | --- | --- | --- | --- | --- |
| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |
| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |
| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |
| | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |
| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |
| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |
| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |
| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |
| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |
| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |
| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |
| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 | | 0 |
| Segmenttype | H | L | S | HL | LH |
| --- | --- | --- | --- | --- | --- |
| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |
| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |
| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |
| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |
| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |
| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |
| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |
| Affricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |
| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 | | | Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |
| --- | --- | --- | --- | --- | --- |
| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 | | 1 |
| Segmenttype | H | L | S | HL | LH |
| --- | --- | --- | --- | --- | --- |
| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |
| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |
| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |
| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |
| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |
| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |
| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |
| Affricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |
| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 | | | Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |
| --- | --- | --- | --- | --- | --- | --- |
| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 | | 0 |
| Strategy | ModelSize | AUC |
| --- | --- | --- |
| None | 56.11M | 0.927 | | | Bneck-Final-64 | 54.30M | 0.889 |
| --- | --- | --- |
| Bneck-Final-256 | 55.17M | 0.917 |
| Bneck-Final-1024 | 58.63M | 0.925 |
| Bneck-Mid-64 | 40.77M | 0.915 |
| Bneck-Mid-256 | 42.29M | 0.924 |
| Bneck-Mid-1024 | 48.41M | 0.927 |
| FC-64 | 3.07M | 0.841 |
| FC-256 | 4.95M | 0.905 |
| FC-1024 | 13.22M | 0.924 |
| Global-avg-pool | 2.59M | 0.916 | | 1 |
| Strategy | ModelSize | AUC |
| --- | --- | --- |
| None | 56.11M | 0.927 | | | Team | ML | BM | EB1 | EB2 |
| --- | --- | --- | --- | --- |
| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |
| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |
| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |
| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |
| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |
| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |
| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |
| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |
| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |
| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |
| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |
| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |
| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |
| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |
| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |
| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |
| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |
| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |
| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |
| T-20 | 0.48 | 0.51 | 0.64 | 0.71 | | 0 |
| Strategy | ModelSize | AUC |
| --- | --- | --- |
| None | 56.11M | 0.927 |
| Bneck-Final-64 | 54.30M | 0.889 |
| Bneck-Final-256 | 55.17M | 0.917 |
| Bneck-Final-1024 | 58.63M | 0.925 |
| Bneck-Mid-64 | 40.77M | 0.915 |
| Bneck-Mid-256 | 42.29M | 0.924 |
| Bneck-Mid-1024 | 48.41M | 0.927 | | | FC-64 | 3.07M | 0.841 |
| --- | --- | --- |
| FC-256 | 4.95M | 0.905 |
| FC-1024 | 13.22M | 0.924 |
| Global-avg-pool | 2.59M | 0.916 | | 1 |
| Strategy | ModelSize | AUC |
| --- | --- | --- |
| None | 56.11M | 0.927 |
| Bneck-Final-64 | 54.30M | 0.889 |
| Bneck-Final-256 | 55.17M | 0.917 |
| Bneck-Final-1024 | 58.63M | 0.925 |
| Bneck-Mid-64 | 40.77M | 0.915 |
| Bneck-Mid-256 | 42.29M | 0.924 |
| Bneck-Mid-1024 | 48.41M | 0.927 | | | T-5 | 0.26 | 0.45 | 0.45 | 0.56 |
| --- | --- | --- | --- | --- |
| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |
| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |
| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |
| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |
| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |
| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |
| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |
| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |
| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |
| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |
| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |
| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |
| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |
| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |
| T-20 | 0.48 | 0.51 | 0.64 | 0.71 | | 0 |
| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective | | |
| --- | --- | --- | --- | --- | --- | --- |
| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |
| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |
| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 | | | SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 128.216331<br>57.819864<br>60.425710<br>112.850682<br>58.064456<br>66.207054 | 0.3763077569<br>0.3763078069<br>0.3763079011<br>0.3773260313<br>0.3773259828<br>0.3773261006 | 215.183518<br>88.178545<br>98.404560<br>192.681710<br>57.283939<br>58.508361 | 0.3759913085<br>0.3759913110<br>0.3759913135<br>0.3759936315<br>0.3759936439<br>0.3759936213 |
| --- | --- | --- | --- | --- | --- | --- |
| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 101.673967<br>47.587231<br>48.042649<br>103.513668<br>47.346182<br>55.683464 | 0.3761560102<br>0.3761559893<br>0.3761559954<br>0.3766979888<br>0.3766979329<br>0.3766979490 | 174.388236<br>58.634676<br>63.347389<br>128.650218<br>31.396945<br>41.701046 | 0.3759910145<br>0.3759910107<br>0.3759910169<br>0.3759918962<br>0.3759918950<br>0.3759918931 | | 1 |
| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective | | |
| --- | --- | --- | --- | --- | --- | --- |
| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |
| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |
| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 | | | Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective | | |
| --- | --- | --- | --- | --- | --- | --- |
| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 229.220102<br>66.378361<br>67.867812<br>234.129248<br>63.957239<br>65.908254 | 0.3258410619<br>0.3258375894<br>0.3258410840<br>0.3258356616<br>0.3258358353<br>0.3258356562 | 495.873963<br>214.083371<br>214.533017<br>535.821883<br>126.807235<br>148.786983 | 0.3258353956<br>0.3258353935<br>0.3258353956<br>0.3258354793<br>0.3258354785<br>0.3258354792 |
| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |
| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.134694<br>174.232600<br>176.845275<br>299.840227<br>171.384496<br>172.268358 | 0.3263398874<br>0.3263398971<br>0.3263398982<br>0.3258550019<br>0.3258550023<br>0.3258550036 | 708.881659<br>380.852014<br>338.122579<br>687.638964<br>209.564000<br>213.877001 | 0.3258353918<br>0.3258353920<br>0.3258353920<br>0.3258354037<br>0.3258354039<br>0.3258354041 |
| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.620959<br>172.405902<br>172.612984<br>297.259155<br>172.227776<br>172.601618 | 0.3258923266<br>0.3258923398<br>0.3258923141<br>0.3261069018<br>0.3261069217<br>0.3261068804 | 406.229956<br>213.151577<br>185.538374<br>497.501496<br>159.518159<br>151.230547 | 0.3258354055<br>0.3258354059<br>0.3258354064<br>0.3258357363<br>0.3258357365<br>0.3258357352 |
| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 267.252470<br>144.769059<br>140.241334<br>268.102817<br>139.586141<br>135.646766 | 0.3258635308<br>0.3258635315<br>0.3258635313<br>0.3259704996<br>0.3259704998<br>0.3259704994 | 312.865696<br>121.004686<br>122.396247<br>306.236327<br>82.340378<br>81.486252 | 0.3258353862<br>0.3258353865<br>0.3258353867<br>0.3258354906<br>0.3258354912<br>0.3258354909 | | 0 |
| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective | | |
| --- | --- | --- | --- | --- | --- | --- |
| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 | | | SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |
| --- | --- | --- | --- | --- | --- | --- |
| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 |
| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 128.216331<br>57.819864<br>60.425710<br>112.850682<br>58.064456<br>66.207054 | 0.3763077569<br>0.3763078069<br>0.3763079011<br>0.3773260313<br>0.3773259828<br>0.3773261006 | 215.183518<br>88.178545<br>98.404560<br>192.681710<br>57.283939<br>58.508361 | 0.3759913085<br>0.3759913110<br>0.3759913135<br>0.3759936315<br>0.3759936439<br>0.3759936213 |
| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 101.673967<br>47.587231<br>48.042649<br>103.513668<br>47.346182<br>55.683464 | 0.3761560102<br>0.3761559893<br>0.3761559954<br>0.3766979888<br>0.3766979329<br>0.3766979490 | 174.388236<br>58.634676<br>63.347389<br>128.650218<br>31.396945<br>41.701046 | 0.3759910145<br>0.3759910107<br>0.3759910169<br>0.3759918962<br>0.3759918950<br>0.3759918931 | | 1 |
| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective | | |
| --- | --- | --- | --- | --- | --- | --- |
| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 | | | SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |
| --- | --- | --- | --- | --- | --- | --- |
| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.134694<br>174.232600<br>176.845275<br>299.840227<br>171.384496<br>172.268358 | 0.3263398874<br>0.3263398971<br>0.3263398982<br>0.3258550019<br>0.3258550023<br>0.3258550036 | 708.881659<br>380.852014<br>338.122579<br>687.638964<br>209.564000<br>213.877001 | 0.3258353918<br>0.3258353920<br>0.3258353920<br>0.3258354037<br>0.3258354039<br>0.3258354041 |
| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.620959<br>172.405902<br>172.612984<br>297.259155<br>172.227776<br>172.601618 | 0.3258923266<br>0.3258923398<br>0.3258923141<br>0.3261069018<br>0.3261069217<br>0.3261068804 | 406.229956<br>213.151577<br>185.538374<br>497.501496<br>159.518159<br>151.230547 | 0.3258354055<br>0.3258354059<br>0.3258354064<br>0.3258357363<br>0.3258357365<br>0.3258357352 |
| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 267.252470<br>144.769059<br>140.241334<br>268.102817<br>139.586141<br>135.646766 | 0.3258635308<br>0.3258635315<br>0.3258635313<br>0.3259704996<br>0.3259704998<br>0.3259704994 | 312.865696<br>121.004686<br>122.396247<br>306.236327<br>82.340378<br>81.486252 | 0.3258353862<br>0.3258353865<br>0.3258353867<br>0.3258354906<br>0.3258354912<br>0.3258354909 | | 0 |
| baseline | weakly | weakly<br>cleaned |
| --- | --- | --- |
| 48.3 | 8.5 | 15.9 | | | 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |
| --- | --- | --- |
| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |
| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 | | 1 |
| baseline | weakly | weakly<br>cleaned |
| --- | --- | --- |
| 48.3 | 8.5 | 15.9 | | | Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |
| --- | --- | --- | --- | --- | --- | --- |
| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |
| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |
| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |
| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. | | | | | | | | 0 |
| baseline | weakly | weakly<br>cleaned |
| --- | --- | --- |
| 48.3 | 8.5 | 15.9 |
| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 | | | 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |
| --- | --- | --- |
| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 | | 1 |
| baseline | weakly | weakly<br>cleaned |
| --- | --- | --- |
| 48.3 | 8.5 | 15.9 |
| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 | | | COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |
| --- | --- | --- | --- | --- | --- | --- |
| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. | | | | | | | | 0 |
| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailfinder |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |
| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |
| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 | | | Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 | | 1 |
| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailfinder |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |
| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |
| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 | | | Dataset | Variable# | Avgdegree | Maxdegree |
| --- | --- | --- | --- |
| Alarm | 37 | 1.2432 | 4 |
| Hailfinder | 56 | 1.1786 | 4 |
| Win95pts | 76 | 0.9211 | 6 |
| Pigs | 441 | 1.3424 | 2 |
| Link | 724 | 1.5539 | 3 | | 0 |
| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailfinder |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 | | | Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |
| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |
| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 | | 1 |
| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailfinder |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 | | | Win95pts | 76 | 0.9211 | 6 |
| --- | --- | --- | --- |
| Pigs | 441 | 1.3424 | 2 |
| Link | 724 | 1.5539 | 3 | | 0 |
| #APKs | TotalTime | AVGTime/APK |
| --- | --- | --- |
| 200 | 518 | 2.59 |
| 400 | 1066 | 2.67 |
| 600 | 1578 | 2.63 | | | 800 | 2097 | 2.62 |
| --- | --- | --- |
| 1,000 | 2778 | 2.78 | | 1 |
| #APKs | TotalTime | AVGTime/APK |
| --- | --- | --- |
| 200 | 518 | 2.59 |
| 400 | 1066 | 2.67 |
| 600 | 1578 | 2.63 | | | Timings |
| --- |
| 412.579 |
| 159.950 |
| 62.638 |
| 4.572 |
| 3.175 |
| 1.113 | | 0 |
| #APKs | TotalTime | AVGTime/APK |
| --- | --- | --- |
| 200 | 518 | 2.59 |
| 400 | 1066 | 2.67 | | | 600 | 1578 | 2.63 |
| --- | --- | --- |
| 800 | 2097 | 2.62 |
| 1,000 | 2778 | 2.78 | | 1 |
| #APKs | TotalTime | AVGTime/APK |
| --- | --- | --- |
| 200 | 518 | 2.59 |
| 400 | 1066 | 2.67 | | | 4.572 |
| --- |
| 3.175 |
| 1.113 | | 0 |
| Model/Algorithm | MNIST | Caltech101 | US-CT | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | DC | mIoU | DC | mIoU | DC | mIoU |
| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 | | | MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |
| --- | --- | --- | --- | --- | --- | --- |
| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |
| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 | | 1 |
| Model/Algorithm | MNIST | Caltech101 | US-CT | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | DC | mIoU | DC | mIoU | DC | mIoU |
| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 | | | Algorithm\SNRRange | 0.6-1.0 | 1.2-2.0 | 2.2-2.6 |
| --- | --- | --- | --- |
| OurO(N)detector | 0.47 | 0.75 | 0.88 |
| OurO(NlogN)detector | 0.46 | 0.72 | 0.87 |
| Canny | 0.24 | 0.67 | 0.85 |
| BM3D+Canny | 0.12 | 0.67 | 0.84 |
| Crisp | 0.3 | 0.32 | 0.46 |
| Dollar | 0.18 | 0.32 | 0.43 |
| MCG | 0.25 | 0.28 | 0.41 | | 0 |
| Model/Algorithm | MNIST | Caltech101 | US-CT | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | DC | mIoU | DC | mIoU | DC | mIoU |
| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 | | | MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |
| --- | --- | --- | --- | --- | --- | --- |
| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |
| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 | | 1 |
| Model/Algorithm | MNIST | Caltech101 | US-CT | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | DC | mIoU | DC | mIoU | DC | mIoU |
| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 | | | Dollar | 0.18 | 0.32 | 0.43 |
| --- | --- | --- | --- |
| MCG | 0.25 | 0.28 | 0.41 | | 0 |
| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |
| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 | | | 67 | 0.644240 | 71 | 0.645067 | 75 | 0.645072 | 79 | 0.645524 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 68 | 0.644104 | 72 | 0.645317 | 76 | 0.644715 | 80 | 0.645595 | | 1 |
| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |
| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 | | | n | g(n) | g(n)f | g(n)/g(n)f |
| --- | --- | --- | --- |
| 10 | 17 | 8 | 0.470588 |
| 20 | 244 | 81 | 0.331967 |
| 30 | 2136 | 586 | 0.274345 |
| 40 | 14048 | 3308 | 0.235478 |
| 50 | 76104 | 15748 | 0.206927 |
| 60 | 357635 | 66843 | 0.186903 |
| 70 | 1503172 | 256347 | 0.170537 |
| 80 | 5777292 | 909945 | 0.157504 |
| 90 | 20614755 | 3026907 | 0.146832 |
| 100 | 69065657 | 9512939 | 0.137738 |
| 110 | 219186741 | 28504221 | 0.130045 |
| 120 | 663394137 | 81823499 | 0.123341 |
| 130 | 1925513465 | 226224550 | 0.117488 |
| 140 | 5383833857 | 604601758 | 0.112299 |
| 150 | 14555902348 | 1567370784 | 0.107679 |
| 160 | 38173235010 | 3951974440 | 0.103527 |
| 170 | 97368672089 | 9714690421 | 0.099772 | | 0 |
| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |
| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 | | | 67 | 0.644240 | 71 | 0.645067 | 75 | 0.645072 | 79 | 0.645524 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 68 | 0.644104 | 72 | 0.645317 | 76 | 0.644715 | 80 | 0.645595 | | 1 |
| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |
| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 | | | 20 | 244 | 81 | 0.331967 |
| --- | --- | --- | --- |
| 30 | 2136 | 586 | 0.274345 |
| 40 | 14048 | 3308 | 0.235478 |
| 50 | 76104 | 15748 | 0.206927 |
| 60 | 357635 | 66843 | 0.186903 |
| 70 | 1503172 | 256347 | 0.170537 |
| 80 | 5777292 | 909945 | 0.157504 |
| 90 | 20614755 | 3026907 | 0.146832 |
| 100 | 69065657 | 9512939 | 0.137738 |
| 110 | 219186741 | 28504221 | 0.130045 |
| 120 | 663394137 | 81823499 | 0.123341 |
| 130 | 1925513465 | 226224550 | 0.117488 |
| 140 | 5383833857 | 604601758 | 0.112299 |
| 150 | 14555902348 | 1567370784 | 0.107679 |
| 160 | 38173235010 | 3951974440 | 0.103527 |
| 170 | 97368672089 | 9714690421 | 0.099772 | | 0 |
| Musmusculus74 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Run1 | Run2 | | | | | |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |
| 25 | 1 | 2 | 3 | 2 | 3 | 5 |
| 55 | 1 | 1 | 3 | 2 | 2 | 4 | | | 75 | 2 | 3 | 5 | 1 | 2 | 5 |
| --- | --- | --- | --- | --- | --- | --- |
| 90 | 3 | 4 | 6 | 3 | 4 | 6 |
| 100 | 3 | 5 | 10 | 3 | 5 | 10 | | 1 |
| Musmusculus74 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Run1 | Run2 | | | | | |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |
| 25 | 1 | 2 | 3 | 2 | 3 | 5 |
| 55 | 1 | 1 | 3 | 2 | 2 | 4 | | | Homosapiens75 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Run1 | Run2 | | | | | |
| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |
| 25 | 0 | 0 | 0 | 0 | 0 | 0 |
| 55 | 0 | 0 | 2 | 0 | 1 | 1 |
| 75 | 1 | 1 | 2 | 1 | 1 | 3 |
| 90 | 0 | 0 | 0 | 0 | 0 | 1 |
| 100 | 3 | 5 | 10 | 3 | 5 | 10 | | 0 |
| Musmusculus74 | |
| --- | --- |
| Run1 | Run2 | | | Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |
| --- | --- | --- | --- | --- | --- | --- |
| 25 | 1 | 2 | 3 | 2 | 3 | 5 |
| 55 | 1 | 1 | 3 | 2 | 2 | 4 |
| 75 | 2 | 3 | 5 | 1 | 2 | 5 |
| 90 | 3 | 4 | 6 | 3 | 4 | 6 |
| 100 | 3 | 5 | 10 | 3 | 5 | 10 | | 1 |
| Musmusculus74 | |
| --- | --- |
| Run1 | Run2 | | | 55 | 0 | 0 | 2 | 0 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| 75 | 1 | 1 | 2 | 1 | 1 | 3 |
| 90 | 0 | 0 | 0 | 0 | 0 | 1 |
| 100 | 3 | 5 | 10 | 3 | 5 | 10 | | 0 |
| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ | | |
| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |
| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 | |
| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 | | | 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |
| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 | |
| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |
| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 | |
| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 | | | 1 |
| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ | | |
| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |
| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 | |
| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 | | | c1 | c2 | c3 | c4 | c5 | AA | OA |
| --- | --- | --- | --- | --- | --- | --- |
| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |
| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |
| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |
| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |
| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 | | 0 |
| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ | | |
| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |
| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 | | | | 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 | |
| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |
| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 | |
| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |
| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 | |
| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 | | | 1 |
| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ | | |
| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |
| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 | | | | 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |
| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 | | 0 |
| Abstractcomputing | Hamiltondynamic |
| --- | --- |
| Tapestate | Coordinate |
| Innerstate | Momentum | | | Program | Hamiltonian |
| --- | --- |
| Execution | Dynamics |
| Inclusion-Exclusion | Wavesuperposition | | 1 |
| Abstractcomputing | Hamiltondynamic |
| --- | --- |
| Tapestate | Coordinate |
| Innerstate | Momentum | | | No. | Operations | Description |
| --- | --- | --- |
| 1 | LinearAlgebra | Matrix/Vectoroperations,i.e.,addition,subtraction,<br>multiplication |
| 2 | Sampling | MCMC(i.e.,Gibbssampling),randomsampling |
| 3 | LogicOperations | AcollectionofHashalgorithms,i.e.,MD5 |
| 4 | TransformOperations | FFT,DCT,WaveletTransform |
| 5 | SetOperations | Union,intersection,complement |
| 6 | GraphOperations | Graph-theoreticalcomputations,i.e.,graphtraversal |
| 7 | Sort | Partialsort,quicksort,topksort |
| 8 | StatisticOperations | Countoperations | | 0 |
| Abstractcomputing | Hamiltondynamic |
| --- | --- |
| Tapestate | Coordinate |
| Innerstate | Momentum | | | Program | Hamiltonian |
| --- | --- |
| Execution | Dynamics |
| Inclusion-Exclusion | Wavesuperposition | | 1 |
| Abstractcomputing | Hamiltondynamic |
| --- | --- |
| Tapestate | Coordinate |
| Innerstate | Momentum | | | 7 | Sort | Partialsort,quicksort,topksort |
| --- | --- | --- |
| 8 | StatisticOperations | Countoperations | | 0 |
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |
| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |
| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |
| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |
| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |
| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |
| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |
| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |
| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |
| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |
| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |
| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |
| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |
| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |
| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |
| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 | | | 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |
| --- | --- | --- | --- | --- |
| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 | | 1 |
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |
| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |
| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |
| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |
| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |
| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |
| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |
| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |
| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |
| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |
| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |
| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |
| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |
| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |
| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |
| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 | | | Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |
| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |
| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |
| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |
| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |
| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |
| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |
| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |
| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |
| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |
| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |
| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 | | 0 |
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |
| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |
| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |
| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |
| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |
| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |
| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |
| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |
| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |
| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |
| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |
| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |
| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |
| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |
| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 | | | 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |
| --- | --- | --- | --- | --- |
| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |
| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 | | 1 |
| Key<br>Age | Differential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |
| --- | --- | --- | --- | --- |
| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |
| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |
| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |
| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |
| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |
| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |
| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |
| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |
| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |
| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |
| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |
| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |
| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |
| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |
| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 | | | 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |
| --- | --- | --- | --- | --- |
| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |
| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |
| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |
| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |
| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |
| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |
| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |
| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |
| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 | | 0 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |
| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |
| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 | | | | α=0.05 | | | |
| --- | --- | --- | --- | --- |
| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 63,289±3853 |
| Baseline | 1.00±0.00 | 0.85±0.12 | 0.9141±0.07 | 3,853±477 |
| MIMB | 0.97±0.07 | 0.98±0.05 | 0.9742±0.06 | 2,163±284 | | 1 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |
| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |
| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 | | | Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |
| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |
| | α=0.05 | | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |
| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |
| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 | | 0 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |
| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |
| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 |
| | α=0.05 | | | | | | He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 63,289±3853 |
| --- | --- | --- | --- | --- |
| Baseline | 1.00±0.00 | 0.85±0.12 | 0.9141±0.07 | 3,853±477 |
| MIMB | 0.97±0.07 | 0.98±0.05 | 0.9742±0.06 | 2,163±284 | | 1 |
| Algorithm | α=0.01 | | | |
| --- | --- | --- | --- | --- |
| recall | precision | F1 | nTest | |
| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |
| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |
| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 |
| | α=0.05 | | | | | | MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |
| --- | --- | --- | --- | --- |
| | α=0.05 | | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |
| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |
| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 | | 0 |
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 | | | 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |
| --- | --- | --- | --- | --- |
| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |
| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 | | 1 |
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 | | | V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |
| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |
| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 | | 0 |
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |
| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 | | | 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |
| --- | --- | --- | --- | --- |
| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 | | 1 |
| V | H | E | Data | Train,Val,Test |
| --- | --- | --- | --- | --- |
| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |
| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |
| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 | | | 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |
| --- | --- | --- | --- | --- |
| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |
| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |
| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 | | 0 |
| Learningstage | Testingstage | A.U.C | A.T.E |
| --- | --- | --- | --- |
| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |
| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 | | | (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 |
| --- | --- | --- | --- |
| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,0,0,50)<br>(50,0,50,0)<br>(50,50,0,0) | 0.5415<br>0.6039<br>0.6158 | 0.4692<br>0.4306<br>0.4149 |
| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |
| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 | | 1 |
| Learningstage | Testingstage | A.U.C | A.T.E |
| --- | --- | --- | --- |
| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |
| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 | | | test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |
| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |
| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 | | 0 |
| Learningstage | Testingstage | A.U.C | A.T.E |
| --- | --- | --- | --- |
| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |
| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |
| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 | | | (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,0,0,50)<br>(50,0,50,0)<br>(50,50,0,0) | 0.5415<br>0.6039<br>0.6158 | 0.4692<br>0.4306<br>0.4149 |
| --- | --- | --- | --- |
| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |
| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 | | 1 |
| Learningstage | Testingstage | A.U.C | A.T.E |
| --- | --- | --- | --- |
| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |
| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |
| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 | | | Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 | | 0 |
| n | 100 | 200 | 300 |
| --- | --- | --- | --- |
| aspps | 0.006 | 0.302 | 13.678 |
| smodels | 0.026 | 0.495 | 16.043 | | | satz | 0.013 | 0.077 | 1.416 |
| --- | --- | --- | --- |
| zchaff | 0.002 | 0.107 | 7.952 | | 1 |
| n | 100 | 200 | 300 |
| --- | --- | --- | --- |
| aspps | 0.006 | 0.302 | 13.678 |
| smodels | 0.026 | 0.495 | 16.043 | | | ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |
| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |
| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |
| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |
| KS | fail | fail | fail | fail | fail | fail | fail | fail |
| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |
| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |
| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |
| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |
| \|F\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |
| \|F\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |
| \|dual(F)\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |
| \|S\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 | | 0 |
| n | 100 | 200 | 300 |
| --- | --- | --- | --- |
| aspps | 0.006 | 0.302 | 13.678 | | | smodels | 0.026 | 0.495 | 16.043 |
| --- | --- | --- | --- |
| satz | 0.013 | 0.077 | 1.416 |
| zchaff | 0.002 | 0.107 | 7.952 | | 1 |
| n | 100 | 200 | 300 |
| --- | --- | --- | --- |
| aspps | 0.006 | 0.302 | 13.678 | | | BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |
| KS | fail | fail | fail | fail | fail | fail | fail | fail |
| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |
| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |
| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |
| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |
| \|F\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |
| \|F\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |
| \|dual(F)\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |
| \|S\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 | | 0 |
| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |
| --- | --- |
| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 | | | Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |
| --- | --- |
| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |
| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |
| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 | | 1 |
| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |
| --- | --- |
| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 | | | a | 1000111010010011000010000011010111000101101100 |
| --- | --- |
| a | 1110111110010100011101001001100001000001101011 |
| a | 1111011111001010001110100100110000100000110101 |
| a1 | 0100101101100111101111100101000111010010011000 |
| 0<br>a | 1111011111001010001110100100110000100000110101 |
| a | 1000101101100111101111100101000111010010011000 |
| a | 1100010110110011110111110010100011101001001100 |
| a | 0100000110101110001011011001111011111001010001 | | 0 |
| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |
| --- | --- |
| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |
| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 | | | ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |
| --- | --- |
| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |
| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 | | 1 |
| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |
| --- | --- |
| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |
| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 | | | a1 | 0100101101100111101111100101000111010010011000 |
| --- | --- |
| 0<br>a | 1111011111001010001110100100110000100000110101 |
| a | 1000101101100111101111100101000111010010011000 |
| a | 1100010110110011110111110010100011101001001100 |
| a | 0100000110101110001011011001111011111001010001 | | 0 |
| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |
| --- | --- | --- | --- | --- |
| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |
| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 | | | 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |
| --- | --- | --- | --- | --- |
| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 | | 1 |
| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |
| --- | --- | --- | --- | --- |
| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |
| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 | | | h | N | SearchLDS | SkipList | JumpSearchLDS | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| β=0.8 | β=0.9 | β=0.95 | β=1.0 | | | | |
| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |
| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |
| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |
| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |
| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 | | 0 |
| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |
| --- | --- | --- | --- | --- |
| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |
| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 | | | 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |
| --- | --- | --- | --- | --- |
| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 | | 1 |
| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |
| --- | --- | --- | --- | --- |
| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |
| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 | | | 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |
| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 | | 0 |
| Range | Area(km) | Height(m) | Origin | No.datapts. |
| --- | --- | --- | --- | --- |
| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |
| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |
| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 | | | ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |
| --- | --- | --- | --- | --- |
| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 |
| SouthernAlps | 36,700 | 3,724 | Orogenic | 23,619,193 |
| AppalachianMountains | 531,000 | 2,037 | Orogenic | 208,854,395 | | 1 |
| Range | Area(km) | Height(m) | Origin | No.datapts. |
| --- | --- | --- | --- | --- |
| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |
| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |
| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 | | | Range | NT | lnNT | lnlnNT | Rmax | LT | DT | kmax |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Alps | 510,466 | 13.14 | 2.58 | 13 | 1,252.6 | 3,229 | 7 |
| BaeticMnts. | 234,117 | 12.36 | 2.51 | 12 | 821.5 | 2,241 | 7 |
| Pyrenees | 95,356 | 11.47 | 2.44 | 11 | 461.7 | 1,148 | 6 |
| ScandinavianMnts. | 1,007,154 | 13.80 | 2.62 | 14 | 2,434.4 | 6,574 | 8 |
| Himalayas(part) | 582,526 | 13.27 | 2.59 | 12 | 1,635.0 | 4,437 | 7 |
| SouthernAlps | 436,955 | 12.99 | 2.56 | 13 | 910.6 | 2,300 | 7 |
| AppalachianMnts. | 965,668 | 13.78 | 2.62 | 14 | 2,158.1 | 6,232 | 7 |
| Range | NR | lnNR | lnlnNR | DR | LR | (cid:104)m(cid:105)R | R<br>kmax |
| Alps | 266,540 | 12.49 | 2.53 | 25 | 9.6 | 5.65 | 2,203 |
| BaeticMts. | 122,709 | 11.72 | 2.46 | 23 | 8.8 | 5.24 | 1,357 |
| Pyrenees | 50,027 | 10.82 | 2.38 | 21 | 8.7 | 5.15 | 852 |
| ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |
| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |
| SouthernAlps | 227,920 | 12.54 | 2.53 | 24 | 9.6 | 5.63 | 1179 |
| AppalachianMts. | 488,822 | 13.06 | 2.57 | 26 | 9.3 | 5.72 | 4,072 | | 0 |
| Range | Area(km) | Height(m) | Origin | No.datapts. |
| --- | --- | --- | --- | --- |
| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |
| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |
| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |
| ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |
| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 | | | SouthernAlps | 36,700 | 3,724 | Orogenic | 23,619,193 |
| --- | --- | --- | --- | --- |
| AppalachianMountains | 531,000 | 2,037 | Orogenic | 208,854,395 | | 1 |
| Range | Area(km) | Height(m) | Origin | No.datapts. |
| --- | --- | --- | --- | --- |
| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |
| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |
| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |
| ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |
| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 | | | ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |
| SouthernAlps | 227,920 | 12.54 | 2.53 | 24 | 9.6 | 5.63 | 1179 |
| AppalachianMts. | 488,822 | 13.06 | 2.57 | 26 | 9.3 | 5.72 | 4,072 | | 0 |
| Dataset | N | K | D | d |
| --- | --- | --- | --- | --- |
| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |
| Yale | 2432 | 38 | 2016 | 9 |
| COIL-20 | 1440 | 20 | 1024 | 9 |
| COIL-100 | 7200 | 100 | 1024 | 9 | | | USPS | 9298 | 10 | 256 | 15 |
| --- | --- | --- | --- | --- |
| MNIST-10k | 10000 | 10 | 500 | 3 | | 1 |
| Dataset | N | K | D | d |
| --- | --- | --- | --- | --- |
| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |
| Yale | 2432 | 38 | 2016 | 9 |
| COIL-20 | 1440 | 20 | 1024 | 9 |
| COIL-100 | 7200 | 100 | 1024 | 9 | | | Dataset | Size | Dimensions | Classes |
| --- | --- | --- | --- |
| COIL-20 | 1,440 | 1,024 | 20 |
| PenDigits | 7,494 | 16 | 10 |
| USPS | 9,298 | 256 | 10 |
| MNIST | 70,000 | 784 | 10 |
| RCV1 | 193,844 | 47,236 | 103 | | 0 |
| Dataset | N | K | D | d |
| --- | --- | --- | --- | --- |
| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |
| Yale | 2432 | 38 | 2016 | 9 |
| COIL-20 | 1440 | 20 | 1024 | 9 | | | COIL-100 | 7200 | 100 | 1024 | 9 |
| --- | --- | --- | --- | --- |
| USPS | 9298 | 10 | 256 | 15 |
| MNIST-10k | 10000 | 10 | 500 | 3 | | 1 |
| Dataset | N | K | D | d |
| --- | --- | --- | --- | --- |
| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |
| Yale | 2432 | 38 | 2016 | 9 |
| COIL-20 | 1440 | 20 | 1024 | 9 | | | USPS | 9,298 | 256 | 10 |
| --- | --- | --- | --- |
| MNIST | 70,000 | 784 | 10 |
| RCV1 | 193,844 | 47,236 | 103 | | 0 |
| Ground<br>truth | TIFFS | | |
| --- | --- | --- | --- |
| Extract | Match | Extract | |
| 352 | 358 | 181 | 351 |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 | | | 117 | 82 | 69 | 80 |
| --- | --- | --- | --- |
| 92 | 58 | 42 | 62 |
| 1565 | 1074 | 681 | 1060 | | 1 |
| Ground<br>truth | TIFFS | | |
| --- | --- | --- | --- |
| Extract | Match | Extract | |
| 352 | 358 | 181 | 351 |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 | | | h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |
| --- | --- | --- | --- | --- |
| 6 | 154 | 46 | 167 | 33 |
| 8 | 154 | 46 | 168 | 32 |
| 10 | 153 | 47 | 168 | 32 |
| 12 | 150 | 50 | 169 | 31 |
| 14 | 150 | 50 | 169 | 31 |
| 16 | 148 | 52 | 168 | 32 |
| 18 | 145 | 55 | 167 | 33 |
| 20 | 146 | 54 | 167 | 33 | | 0 |
| Ground<br>truth | TIFFS | | |
| --- | --- | --- | --- |
| Extract | Match | Extract | |
| 352 | 358 | 181 | 351 |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 |
| 117 | 82 | 69 | 80 | | | 92 | 58 | 42 | 62 |
| --- | --- | --- | --- |
| 1565 | 1074 | 681 | 1060 | | 1 |
| Ground<br>truth | TIFFS | | |
| --- | --- | --- | --- |
| Extract | Match | Extract | |
| 352 | 358 | 181 | 351 |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 |
| 117 | 82 | 69 | 80 | | | 12 | 150 | 50 | 169 | 31 |
| --- | --- | --- | --- | --- |
| 14 | 150 | 50 | 169 | 31 |
| 16 | 148 | 52 | 168 | 32 |
| 18 | 145 | 55 | 167 | 33 |
| 20 | 146 | 54 | 167 | 33 | | 0 |
| Method | σ=25 | σ=50 | σ=75 | σ=100 |
| --- | --- | --- | --- | --- |
| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |
| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |
| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |
| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |
| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |
| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 | | | MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |
| --- | --- | --- | --- | --- |
| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 | | 1 |
| Method | σ=25 | σ=50 | σ=75 | σ=100 |
| --- | --- | --- | --- | --- |
| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |
| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |
| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |
| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |
| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |
| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 | | | Method | σ=5 | σ=15 | σ=25 | σ=35 | σ=50 |
| --- | --- | --- | --- | --- | --- |
| CBM3D | 40.25 | 33.50 | 30.68 | 28.87 | 27.36 |
| BM3D-Net | - | 33.79 | 30.91 | - | 27.48 |
| CNL-Net | - | 33.69 | 30.96 | - | 27.64 |
| IRCNN | 40.36 | 33.86 | 31.16 | 29.50 | 27.86 |
| Proposed(Initial) | 40.03 | 33.59 | 31.00 | 29.40 | 27.83 |
| Proposed(Final) | 40.33 | 33.85 | 31.22 | 29.59 | 27.97 | | 0 |
| Method | σ=25 | σ=50 | σ=75 | σ=100 |
| --- | --- | --- | --- | --- |
| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |
| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |
| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |
| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |
| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 | | | TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |
| --- | --- | --- | --- | --- |
| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |
| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 | | 1 |
| Method | σ=25 | σ=50 | σ=75 | σ=100 |
| --- | --- | --- | --- | --- |
| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |
| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |
| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |
| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |
| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 | | | Proposed(Initial) | 40.03 | 33.59 | 31.00 | 29.40 | 27.83 |
| --- | --- | --- | --- | --- | --- |
| Proposed(Final) | 40.33 | 33.85 | 31.22 | 29.59 | 27.97 | | 0 |
| ML | RealPhone | STREAM | | |
| --- | --- | --- | --- | --- |
| T.S. | C.V. | T.S. | C.V. | |
| NB | 75.2 | 72.9 | 78.91 | 79.79 |
| Bayesnet | 74.8 | 74.1 | 81.25 | 86.23 |
| RF | 92.6 | 92.9 | 70.31 | 94.53 | | | SL | 91.4 | 90.4 | 68.75 | 89.52 |
| --- | --- | --- | --- | --- |
| J48 | 91.4 | 91.1 | 73.44 | 93.43 |
| MLP | 91.2 | 91.2 | 70.31 | 93.91 | | 1 |
| ML | RealPhone | STREAM | | |
| --- | --- | --- | --- | --- |
| T.S. | C.V. | T.S. | C.V. | |
| NB | 75.2 | 72.9 | 78.91 | 79.79 |
| Bayesnet | 74.8 | 74.1 | 81.25 | 86.23 |
| RF | 92.6 | 92.9 | 70.31 | 94.53 | | | | Gradual | Sharp | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |
| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |
| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |
| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |
| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |
| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |
| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |
| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |
| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |
| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |
| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |
| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |
| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |
| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |
| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 | | 0 |
| ML | RealPhone | STREAM | | |
| --- | --- | --- | --- | --- |
| T.S. | C.V. | T.S. | C.V. | |
| NB | 75.2 | 72.9 | 78.91 | 79.79 | | | Bayesnet | 74.8 | 74.1 | 81.25 | 86.23 |
| --- | --- | --- | --- | --- |
| RF | 92.6 | 92.9 | 70.31 | 94.53 |
| SL | 91.4 | 90.4 | 68.75 | 89.52 |
| J48 | 91.4 | 91.1 | 73.44 | 93.43 |
| MLP | 91.2 | 91.2 | 70.31 | 93.91 | | 1 |
| ML | RealPhone | STREAM | | |
| --- | --- | --- | --- | --- |
| T.S. | C.V. | T.S. | C.V. | |
| NB | 75.2 | 72.9 | 78.91 | 79.79 | | | NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |
| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |
| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |
| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |
| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |
| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |
| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |
| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |
| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |
| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |
| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 | | 0 |
| Distanceto<br>basket | GLM | GBM |
| --- | --- | --- |
| 2feet | 0.875 | 0.942 | | | 3feet | 0.807 | 0.902 |
| --- | --- | --- |
| 4feet | 0.721 | 0.848 |
| 5feet | 0.659 | 0.796 |
| 6feet | 0.604 | 0.746 |
| 7feet | 0.583 | 0.742 |
| 8feet | 0.558 | 0.719 | | 1 |
| Distanceto<br>basket | GLM | GBM |
| --- | --- | --- |
| 2feet | 0.875 | 0.942 | | | Dataset | Base | Base+E | DSM+E | Ours+E | Ourstop-15+E |
| --- | --- | --- | --- | --- | --- |
| Openml589 | 0.562 | 0.589 | 0.654 | 0.693 | 0.698 |
| BikeshareDC | 0.410 | 0.427 | 0.712 | 0.801 | 0.808 |
| Openml620 | 0.524 | 0.532 | 0.545 | 0.686 | 0.687 |
| Housing | 0.626 | 0.629 | 0.629 | 0.685 | 0.691 |
| Airfoil | 0.752 | 0.752 | 0.786 | 0.804 | 0.804 | | 0 |
| Distanceto<br>basket | GLM | GBM |
| --- | --- | --- |
| 2feet | 0.875 | 0.942 |
| 3feet | 0.807 | 0.902 | | | 4feet | 0.721 | 0.848 |
| --- | --- | --- |
| 5feet | 0.659 | 0.796 |
| 6feet | 0.604 | 0.746 |
| 7feet | 0.583 | 0.742 |
| 8feet | 0.558 | 0.719 | | 1 |
| Distanceto<br>basket | GLM | GBM |
| --- | --- | --- |
| 2feet | 0.875 | 0.942 |
| 3feet | 0.807 | 0.902 | | | Housing | 0.626 | 0.629 | 0.629 | 0.685 | 0.691 |
| --- | --- | --- | --- | --- | --- |
| Airfoil | 0.752 | 0.752 | 0.786 | 0.804 | 0.804 | | 0 |
| biased | debiased | | |
| --- | --- | --- | --- |
| neighbor | similarity | neighbor | similarity |
| nurse | 1.0121 | nurse | 0.7056 |
| nanny | 0.9035 | obstetrician | 0.6861 |
| fianc´ee | 0.8700 | pediatrician | 0.6447 | | | maid | 0.8674 | dentist | 0.6367 |
| --- | --- | --- | --- |
| fianc´e | 0.8617 | surgeon | 0.6303 |
| mother | 0.8612 | physician | 0.6254 |
| fiance | 0.8611 | cardiologist | 0.6088 |
| dentist | 0.8569 | pharmacist | 0.6081 |
| woman | 0.8564 | hospital | 0.5969 | | 1 |
| biased | debiased | | |
| --- | --- | --- | --- |
| neighbor | similarity | neighbor | similarity |
| nurse | 1.0121 | nurse | 0.7056 |
| nanny | 0.9035 | obstetrician | 0.6861 |
| fianc´ee | 0.8700 | pediatrician | 0.6447 | | | Word1 | Word2 | Sci.med | Pretrained | WordNet |
| --- | --- | --- | --- | --- |
| school | children | 0.034 | 0.462 | 0.463 |
| university | students | 0.275 | 0.425 | 0.435 |
| company | industry | 0.0434 | 0.524 | 0.520 |
| boy | girl | 0.089 | 0.804 | 0.863 |
| mother | father | 0.613 | 0.829 | 0.849 |
| national | international | 0.687 | 0.650 | 0.687 |
| library | books | 0.435 | 0.566 | 0.560 | | 0 |
| biased | debiased | | |
| --- | --- | --- | --- |
| neighbor | similarity | neighbor | similarity |
| nurse | 1.0121 | nurse | 0.7056 |
| nanny | 0.9035 | obstetrician | 0.6861 |
| fianc´ee | 0.8700 | pediatrician | 0.6447 |
| maid | 0.8674 | dentist | 0.6367 | | | fianc´e | 0.8617 | surgeon | 0.6303 |
| --- | --- | --- | --- |
| mother | 0.8612 | physician | 0.6254 |
| fiance | 0.8611 | cardiologist | 0.6088 |
| dentist | 0.8569 | pharmacist | 0.6081 |
| woman | 0.8564 | hospital | 0.5969 | | 1 |
| biased | debiased | | |
| --- | --- | --- | --- |
| neighbor | similarity | neighbor | similarity |
| nurse | 1.0121 | nurse | 0.7056 |
| nanny | 0.9035 | obstetrician | 0.6861 |
| fianc´ee | 0.8700 | pediatrician | 0.6447 |
| maid | 0.8674 | dentist | 0.6367 | | | university | students | 0.275 | 0.425 | 0.435 |
| --- | --- | --- | --- | --- |
| company | industry | 0.0434 | 0.524 | 0.520 |
| boy | girl | 0.089 | 0.804 | 0.863 |
| mother | father | 0.613 | 0.829 | 0.849 |
| national | international | 0.687 | 0.650 | 0.687 |
| library | books | 0.435 | 0.566 | 0.560 | | 0 |
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