premise string | hypothesis string | label int64 |
|---|---|---|
| Feature | Starbucks | Dun.Don. | McDon. |
| --- | --- | --- | --- |
| GeographicFeatures | | | |
| Density | 0.60 | 0.79 | 0.73 |
| Entropy | 0.65 | 0.60 | 0.69 | | | Competitiveness | 0.70 | 0.68 | 0.78 |
| --- | --- | --- | --- |
| JensenQuality | 0.54 | 0.81 | 0.72 |
| MobilityFeatures | | | |
| AreaPopularity | 0.54 | 0.77 | 0.78 |
| TransitionDensity | 0.62 | 0.79 | 0.78 |
| IncomingFlow | 0.60 | 0.75 | 0.79 |
| TransitionQuality | 0.66 | 0.81 | 0.73 |
| RandomBaseline | | | |
| | 0.48 | 0.51 | 0.53 | | 1 |
| Feature | Starbucks | Dun.Don. | McDon. |
| --- | --- | --- | --- |
| GeographicFeatures | | | |
| Density | 0.60 | 0.79 | 0.73 |
| Entropy | 0.65 | 0.60 | 0.69 | | | Architectures | Accuracy | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |
| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |
| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |
| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |
| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |
| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |
| fine-tunedAffWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 | | 0 |
| Feature | Starbucks | Dun.Don. | McDon. |
| --- | --- | --- | --- |
| GeographicFeatures | | | |
| Density | 0.60 | 0.79 | 0.73 |
| Entropy | 0.65 | 0.60 | 0.69 |
| Competitiveness | 0.70 | 0.68 | 0.78 |
| JensenQuality | 0.54 | 0.81 | 0.72 | | | MobilityFeatures | | | |
| --- | --- | --- | --- |
| AreaPopularity | 0.54 | 0.77 | 0.78 |
| TransitionDensity | 0.62 | 0.79 | 0.78 |
| IncomingFlow | 0.60 | 0.75 | 0.79 |
| TransitionQuality | 0.66 | 0.81 | 0.73 |
| RandomBaseline | | | |
| | 0.48 | 0.51 | 0.53 | | 1 |
| Feature | Starbucks | Dun.Don. | McDon. |
| --- | --- | --- | --- |
| GeographicFeatures | | | |
| Density | 0.60 | 0.79 | 0.73 |
| Entropy | 0.65 | 0.60 | 0.69 |
| Competitiveness | 0.70 | 0.68 | 0.78 |
| JensenQuality | 0.54 | 0.81 | 0.72 | | | VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| fine-tunedAffWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 | | 0 |
| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |
| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |
| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |
| Diagonalcomplexity | | | | | | | | | | 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |
| Horizontalcomplexity | | | | | | | |
| 1 | 0.2010 | 0.2048 | 0.2088 | 0.2066 | 0.2018 | 0.2293 | 0.2087 |
| 2 | 0.2138 | 0.2247 | 0.2179 | 0.2250 | 0.2123 | 0.2113 | 0.2016 |
| Verticalcomplexity | | | | | | | |
| 1 | 0.1677 | 0.2088 | 0.2298 | 0.2063 | 0.1708 | 0.2141 | 0.2335 |
| 2 | 0.1578 | 0.1831 | 0.1878 | 0.1760 | 0.1596 | 0.1755 | 0.1688 | | 1 |
| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |
| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |
| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |
| Diagonalcomplexity | | | | | | | | | | Globalcomplexity;paintingFig.4,colour:green | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |
| Original | 0.4515 | 0.4284 | 0.4368 | 0.4240 | 0.4438 | 0.4339 | 0.3875 |
| Copy | 0.4177 | 0.4453 | 0.3936 | 0.4027 | 0.4244 | 0.3954 | 0.3890 |
| Diagonalcomplexity | | | | | | | |
| Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |
| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |
| Horizontalcomplexity | | | | | | | |
| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |
| Copy | 0.3759 | 0.4171 | 0.3175 | 0.3554 | 0.3400 | 0.3342 | 0.3279 |
| Verticalcomplexity | | | | | | | |
| Original | 0.4242 | 0.4303 | 0.4523 | 0.4355 | 0.4168 | 0.4566 | 0.3942 |
| Copy | 0.4019 | 0.4551 | 0.4521 | 0.4452 | 0.4464 | 0.4428 | 0.4148 | | 0 |
| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |
| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |
| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |
| Diagonalcomplexity | | | | | | | |
| 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |
| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |
| Horizontalcomplexity | | | | | | | | | | 1 | 0.2010 | 0.2048 | 0.2088 | 0.2066 | 0.2018 | 0.2293 | 0.2087 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.2138 | 0.2247 | 0.2179 | 0.2250 | 0.2123 | 0.2113 | 0.2016 |
| Verticalcomplexity | | | | | | | |
| 1 | 0.1677 | 0.2088 | 0.2298 | 0.2063 | 0.1708 | 0.2141 | 0.2335 |
| 2 | 0.1578 | 0.1831 | 0.1878 | 0.1760 | 0.1596 | 0.1755 | 0.1688 | | 1 |
| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |
| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |
| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |
| Diagonalcomplexity | | | | | | | |
| 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |
| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |
| Horizontalcomplexity | | | | | | | | | | Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |
| Horizontalcomplexity | | | | | | | |
| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |
| Copy | 0.3759 | 0.4171 | 0.3175 | 0.3554 | 0.3400 | 0.3342 | 0.3279 |
| Verticalcomplexity | | | | | | | |
| Original | 0.4242 | 0.4303 | 0.4523 | 0.4355 | 0.4168 | 0.4566 | 0.3942 |
| Copy | 0.4019 | 0.4551 | 0.4521 | 0.4452 | 0.4464 | 0.4428 | 0.4148 | | 0 |
| Number | Vulnerability | Cause | Level |
| --- | --- | --- | --- |
| | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |
| | | | | | | | | | |
| --- | --- | --- | --- |
| | | | |
| | | | |
| | | | |
| | Immutablebug | Alteracontractafterdeployment | EVMbytecode |
| | | | |
| | | | |
| 0 | Unpredictablestate | Stateofthecontractischangedbeforeinvoking | Blockchainmechanism |
| | | | |
| | | | | | 1 |
| Number | Vulnerability | Cause | Level |
| --- | --- | --- | --- |
| | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |
| | | | | | | Level | Symbol | Meaning | Description |
| --- | --- | --- | --- |
| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |
| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |
| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |
| 4 | ninf | negativeinfinity | Negativeinfinityonnumbers |
| 4 | pinf | positiveinfinity | Positiveinfinityonnumbers |
| 3 | unc | unencoded | Informationnotencoded(yet) |
| 3 | der | derived | Actualvaluemustbederived |
| 2 | unk | unknown | Propervalueisapplicablebutnotknown |
| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |
| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |
| 3 | qs | sufficientquantity | Quantitynotknownbutnon-zero |
| 3 | nask | notasked | Informationnotsought |
| 3 | trc | trace | Greaterthanzerobuttoosmallforquantification |
| 2 | msk | masked | Informationavailablebutnotprovided |
| 2 | na | notapplicable | Novalueapplicableincontext | | 0 |
| Number | Vulnerability | Cause | Level |
| --- | --- | --- | --- |
| | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |
| | | | |
| | | | | | | | | | |
| --- | --- | --- | --- |
| | | | |
| | | | |
| | Immutablebug | Alteracontractafterdeployment | EVMbytecode |
| | | | |
| | | | |
| 0 | Unpredictablestate | Stateofthecontractischangedbeforeinvoking | Blockchainmechanism |
| | | | |
| | | | | | 1 |
| Number | Vulnerability | Cause | Level |
| --- | --- | --- | --- |
| | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |
| | | | |
| | | | | | | 4 | pinf | positiveinfinity | Positiveinfinityonnumbers |
| --- | --- | --- | --- |
| 3 | unc | unencoded | Informationnotencoded(yet) |
| 3 | der | derived | Actualvaluemustbederived |
| 2 | unk | unknown | Propervalueisapplicablebutnotknown |
| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |
| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |
| 3 | qs | sufficientquantity | Quantitynotknownbutnon-zero |
| 3 | nask | notasked | Informationnotsought |
| 3 | trc | trace | Greaterthanzerobuttoosmallforquantification |
| 2 | msk | masked | Informationavailablebutnotprovided |
| 2 | na | notapplicable | Novalueapplicableincontext | | 0 |
| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |
| --- | --- | --- | --- | --- |
| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 | | | USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |
| --- | --- | --- | --- | --- |
| COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |
| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |
| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |
| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 | | 1 |
| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |
| --- | --- | --- | --- | --- |
| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 | | | Dataset | #Datapoints | #Classes | #Features |
| --- | --- | --- | --- |
| YaleB | 2,414 | 38 | 1,024 |
| USPS | 9,298 | 10 | 256 |
| COIL100 | 7,200 | 100 | 1,024 |
| Glass | 214 | 6 | 10 |
| Climate | 540 | 2 | 18 |
| Ionosphere | 351 | 2 | 34 | | 0 |
| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |
| --- | --- | --- | --- | --- |
| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |
| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 | | | COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |
| --- | --- | --- | --- | --- |
| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |
| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |
| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 | | 1 |
| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |
| --- | --- | --- | --- | --- |
| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |
| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 | | | Glass | 214 | 6 | 10 |
| --- | --- | --- | --- |
| Climate | 540 | 2 | 18 |
| Ionosphere | 351 | 2 | 34 | | 0 |
| No. | Class | Total | Training | Test | No. | Class | Total | Training |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |
| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |
| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |
| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 | | | 5 | Slashpine | 161 | 16 | 145 | 12 | Mudflats | 503 | 50 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |
| 7 | Hardwoodswamp | 105 | 11 | 94 | | | | | | 1 |
| No. | Class | Total | Training | Test | No. | Class | Total | Training |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |
| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |
| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |
| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 | | | No. | Class | Total | Training | Test | No. | Class | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |
| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |
| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |
| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |
| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |
| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |
| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |
| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 | | 0 |
| No. | Class | Total | Training | Test | No. | Class | Total | Training |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |
| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |
| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |
| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 | | | 5 | Slashpine | 161 | 16 | 145 | 12 | Mudflats | 503 | 50 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |
| 7 | Hardwoodswamp | 105 | 11 | 94 | | | | | | 1 |
| No. | Class | Total | Training | Test | No. | Class | Total | Training |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |
| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |
| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |
| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 | | | 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |
| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 | | 0 |
| Dataset | #ofcategories | #ofimages |
| --- | --- | --- |
| dog<br>D<br>ImageNet | 120 | 150,473 |
| E<br>VT | 120 | 1,287,831 |
| bird<br>D<br>ImageNet | 59 | 76,541 |
| E<br>VT | 59 | 710,059 | | | wheeled<br>D<br>ImageNet | 44 | 57,059 |
| --- | --- | --- |
| E<br>VT | 44 | 607,680 |
| structure<br>D<br>ImageNet | 58 | 74,400 |
| E | 58 | 745,940 | | 1 |
| Dataset | #ofcategories | #ofimages |
| --- | --- | --- |
| dog<br>D<br>ImageNet | 120 | 150,473 |
| E<br>VT | 120 | 1,287,831 |
| bird<br>D<br>ImageNet | 59 | 76,541 |
| E<br>VT | 59 | 710,059 | | | 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 | | 0 |
| Dataset | #ofcategories | #ofimages |
| --- | --- | --- |
| dog<br>D<br>ImageNet | 120 | 150,473 |
| E<br>VT | 120 | 1,287,831 |
| bird<br>D<br>ImageNet | 59 | 76,541 |
| E<br>VT | 59 | 710,059 | | | wheeled<br>D<br>ImageNet | 44 | 57,059 |
| --- | --- | --- |
| E<br>VT | 44 | 607,680 |
| structure<br>D<br>ImageNet | 58 | 74,400 |
| E | 58 | 745,940 | | 1 |
| Dataset | #ofcategories | #ofimages |
| --- | --- | --- |
| dog<br>D<br>ImageNet | 120 | 150,473 |
| E<br>VT | 120 | 1,287,831 |
| bird<br>D<br>ImageNet | 59 | 76,541 |
| E<br>VT | 59 | 710,059 | | | Wheeled | 68.95 | 72.20 | 74.59 |
| --- | --- | --- | --- |
| Structure | 66.07 | 69.90 | 72.41 | | 0 |
| | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |
| --- | --- | --- | --- | --- | --- |
| CooperativeManufacturingAssistant(160testspermethod) | | | | | | | | 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |
| --- | --- | --- | --- | --- | --- |
| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |
| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |
| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |
| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |
| HomeCareAssistant(50testspermethod) | | | | | |
| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |
| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |
| 6 | Othercommands | Idle | 13 | 2 | 12 | | 1 |
| | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |
| --- | --- | --- | --- | --- | --- |
| CooperativeManufacturingAssistant(160testspermethod) | | | | | | | | Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CooperativeManufacturingAssistant(160testspermethod) | | | | | | | | | |
| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |
| HomeCareAssistant(50testspermethod) | | | | | | | | | |
| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 | | 0 |
| | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |
| --- | --- | --- | --- | --- | --- |
| CooperativeManufacturingAssistant(160testspermethod) | | | | | |
| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |
| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |
| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 | | | 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |
| --- | --- | --- | --- | --- | --- |
| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |
| HomeCareAssistant(50testspermethod) | | | | | |
| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |
| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |
| 6 | Othercommands | Idle | 13 | 2 | 12 | | 1 |
| | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |
| --- | --- | --- | --- | --- | --- |
| CooperativeManufacturingAssistant(160testspermethod) | | | | | |
| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |
| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |
| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 | | | 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| HomeCareAssistant(50testspermethod) | | | | | | | | | |
| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 | | 0 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |
| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |
| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |
| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |
| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 | | | 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |
| 7 | 2 | a | 84 | 5a | 57 | 86 | ff | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |
| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |
| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |
| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |
| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |
| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |
| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |
| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |
| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe | | 1 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |
| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |
| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |
| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |
| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 | | | | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |
| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |
| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |
| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |
| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |
| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |
| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |
| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |
| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |
| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |
| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |
| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |
| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |
| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |
| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |
| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b | | 0 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |
| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |
| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 | | | 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |
| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |
| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |
| 7 | 2 | a | 84 | 5a | 57 | 86 | ff | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |
| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |
| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |
| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |
| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |
| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |
| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |
| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |
| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe | | 1 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |
| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |
| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 | | | 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |
| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |
| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |
| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |
| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |
| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |
| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |
| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |
| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |
| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |
| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |
| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |
| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |
| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b | | 0 |
| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |
| --- | --- | --- | --- |
| 1 | 3 | 20 | 0 |
| 2 | 2 | 20 | 0.8 | | | 3 | 3 | 40 | 0.5 |
| --- | --- | --- | --- |
| 4 | 3 | 20 | 0.8 |
| 5 | 3 | 40 | 0.8 | | 1 |
| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |
| --- | --- | --- | --- |
| 1 | 3 | 20 | 0 |
| 2 | 2 | 20 | 0.8 | | | SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |
| --- | --- | --- | --- | --- | --- | --- |
| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |
| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |
| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |
| 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 |
| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |
| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |
| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |
| 5x5 | 40 | 10 | 100 | 1 | 1.20 | - |
| 15x15 | 5 | 5 | 900 | 1 | 1.22 | - |
| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |
| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |
| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 | | 0 |
| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |
| --- | --- | --- | --- |
| 1 | 3 | 20 | 0 |
| 2 | 2 | 20 | 0.8 | | | 3 | 3 | 40 | 0.5 |
| --- | --- | --- | --- |
| 4 | 3 | 20 | 0.8 |
| 5 | 3 | 40 | 0.8 | | 1 |
| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |
| --- | --- | --- | --- |
| 1 | 3 | 20 | 0 |
| 2 | 2 | 20 | 0.8 | | | 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |
| --- | --- | --- | --- | --- | --- | --- |
| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |
| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 | | 0 |
| Subjectiveevaluation | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| BookImage | ClockImage | | | | | |
| Method | Q | SF | FMI | Q | SF | FMI |
| DCT+Acmax | 0.8761 | 31.583 | 0.9136 | 0.8165 | 9.1052 | 0.9174 | | | DCT+Acmax+Cv | 0.8825 | 30.8665 | 0.9168 | 0.8728 | 8.9245 | 0.9262 |
| --- | --- | --- | --- | --- | --- | --- |
| DCT+Varience | 0.8882 | 31.9622 | 0.9135 | 0.8841 | 9.3494 | 0.9234 |
| DCT+Varience+Cv | 0.8871 | 31.2181 | 0.9166 | 0.8728 | 8.931 | 0.9258 |
| DCT+SF | 0.8917 | 32.1506 | 0.9151 | 0.8902 | 9.4037 | 0.9247 |
| DCT+SF+Cv | 0.8858 | 31.1966 | 0.9166 | 0.8778 | 8.97 | 0.9262 |
| DCT+Ampmax(Proposed) | 0.8913 | 32.101 | 0.9146 | 0.8887 | 9.4038 | 0.9242 |
| DCT+Ampmax+Cv(Proposed) | 0.8834 | 31.2024 | 0.9165 | 0.878 | 8.9773 | 0.9262 | | 1 |
| Subjectiveevaluation | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| BookImage | ClockImage | | | | | |
| Method | Q | SF | FMI | Q | SF | FMI |
| DCT+Acmax | 0.8761 | 31.583 | 0.9136 | 0.8165 | 9.1052 | 0.9174 | | | Objectiveevaluation | | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | SSIM | PSNR | MSE | MI | UIQI |
| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |
| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |
| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |
| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |
| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |
| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |
| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |
| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 | | 0 |
| Subjectiveevaluation | |
| --- | --- |
| BookImage | ClockImage | | | Method | Q | SF | FMI | Q | SF | FMI |
| --- | --- | --- | --- | --- | --- | --- |
| DCT+Acmax | 0.8761 | 31.583 | 0.9136 | 0.8165 | 9.1052 | 0.9174 |
| DCT+Acmax+Cv | 0.8825 | 30.8665 | 0.9168 | 0.8728 | 8.9245 | 0.9262 |
| DCT+Varience | 0.8882 | 31.9622 | 0.9135 | 0.8841 | 9.3494 | 0.9234 |
| DCT+Varience+Cv | 0.8871 | 31.2181 | 0.9166 | 0.8728 | 8.931 | 0.9258 |
| DCT+SF | 0.8917 | 32.1506 | 0.9151 | 0.8902 | 9.4037 | 0.9247 |
| DCT+SF+Cv | 0.8858 | 31.1966 | 0.9166 | 0.8778 | 8.97 | 0.9262 |
| DCT+Ampmax(Proposed) | 0.8913 | 32.101 | 0.9146 | 0.8887 | 9.4038 | 0.9242 |
| DCT+Ampmax+Cv(Proposed) | 0.8834 | 31.2024 | 0.9165 | 0.878 | 8.9773 | 0.9262 | | 1 |
| Subjectiveevaluation | |
| --- | --- |
| BookImage | ClockImage | | | DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |
| --- | --- | --- | --- | --- | --- |
| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |
| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 | | 0 |
| Method | Rep. | Images | Dataset | DI | Time |
| --- | --- | --- | --- | --- | --- |
| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |
| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |
| Balletal. | no | 60 | DDSM | 0.85 | ? |
| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s | | | Rahmatietal. | no | 100 | DDSM | 0.93 | ? |
| --- | --- | --- | --- | --- | --- |
| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |
| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s |
| Proposed | yes | 116 | INbreast | 0.88 | 0.8s |
| Cardosoetal. | yes | 116 | INbreast | 0.88 | ? | | 1 |
| Method | Rep. | Images | Dataset | DI | Time |
| --- | --- | --- | --- | --- | --- |
| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |
| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |
| Balletal. | no | 60 | DDSM | 0.85 | ? |
| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s | | | Method | Vrand | Vinfo | FCN | post-processing | averageover | parameters(M) |
| --- | --- | --- | --- | --- | --- | --- |
| CUMedVision | 0.977 | 0.989 | YES | YES | 6 | 8 |
| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |
| IDSIA | 0.970 | 0.985 | NO | - | - | - |
| motif | 0.972 | 0.985 | NO | - | - | - |
| SCI | 0.971 | 0.982 | NO | - | - | - |
| optree-idsia | 0.970 | 0.985 | NO | - | - | - |
| PyraMiD-LSTM | 0.968 | 0.983 | NO | - | - | - |
| Ours(L)Dice | 0.969 | 0.986 | YES | NO | Dropout | 11 |
| Ours(L)bce | 0.957 | 0.980 | YES | NO | 1 | 11 | | 0 |
| Method | Rep. | Images | Dataset | DI | Time |
| --- | --- | --- | --- | --- | --- |
| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |
| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |
| Balletal. | no | 60 | DDSM | 0.85 | ? |
| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |
| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |
| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |
| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s | | | Proposed | yes | 116 | INbreast | 0.88 | 0.8s |
| --- | --- | --- | --- | --- | --- |
| Cardosoetal. | yes | 116 | INbreast | 0.88 | ? | | 1 |
| Method | Rep. | Images | Dataset | DI | Time |
| --- | --- | --- | --- | --- | --- |
| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |
| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |
| Balletal. | no | 60 | DDSM | 0.85 | ? |
| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |
| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |
| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |
| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s | | | Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |
| --- | --- | --- | --- | --- | --- | --- |
| IDSIA | 0.970 | 0.985 | NO | - | - | - |
| motif | 0.972 | 0.985 | NO | - | - | - |
| SCI | 0.971 | 0.982 | NO | - | - | - |
| optree-idsia | 0.970 | 0.985 | NO | - | - | - |
| PyraMiD-LSTM | 0.968 | 0.983 | NO | - | - | - |
| Ours(L)Dice | 0.969 | 0.986 | YES | NO | Dropout | 11 |
| Ours(L)bce | 0.957 | 0.980 | YES | NO | 1 | 11 | | 0 |
| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | | | 10 | 14.87 | 8.48 | 85 | 10.55 | 11.08 | 217 | 15.81 | 6.61 | 85 | 10.30 | 9.24 | 252 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 20 | 2.97 | -20.07 | 146 | 7.90 | 4.88 | 365 | 1.55 | -22.24 | 152 | 7.63 | 3.08 | 413 |
| 30 | -18.23 | -67.35 | 210 | 6.44 | 1.33 | 519 | -18.63 | -69.46 | 173 | 6.09 | -0.46 | 455 |
| 40 | -50.81 | -137.34 | 275 | 5.15 | -1.19 | 695 | -50.80 | -139.08 | 197 | 4.79 | -2.98 | 546 |
| 50 | -93.31 | -225.95 | 346 | 4.29 | -3.12 | 857 | -92.72 | -226.90 | 300 | 3.87 | -4.91 | 805 |
| 60 | -119.03 | -254.19 | 407 | 3.46 | -4.72 | 995 | -120.69 | -258.14 | 295 | 3.06 | -6.51 | 767 |
| 65 | -119.03 | -254.19 | 439 | 3.11 | -5.41 | 1067 | -120.69 | -258.14 | 323 | 2.70 | -7.20 | 840 |
| 70 | -119.03 | -254.19 | 477 | 2.79 | -6.06 | 1175 | -120.69 | -258.14 | 456 | 2.38 | -7.85 | 1216 | | 1 |
| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | | | (cid:48)<br>M | N | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 66 | 70 | 74 | 78 | 82 | | | | | | |
| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates | |
| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |
| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |
| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M | | 0 |
| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time |
| 10 | 14.87 | 8.48 | 85 | 10.55 | 11.08 | 217 | 15.81 | 6.61 | 85 | 10.30 | 9.24 | 252 |
| 20 | 2.97 | -20.07 | 146 | 7.90 | 4.88 | 365 | 1.55 | -22.24 | 152 | 7.63 | 3.08 | 413 |
| 30 | -18.23 | -67.35 | 210 | 6.44 | 1.33 | 519 | -18.63 | -69.46 | 173 | 6.09 | -0.46 | 455 |
| 40 | -50.81 | -137.34 | 275 | 5.15 | -1.19 | 695 | -50.80 | -139.08 | 197 | 4.79 | -2.98 | 546 |
| 50 | -93.31 | -225.95 | 346 | 4.29 | -3.12 | 857 | -92.72 | -226.90 | 300 | 3.87 | -4.91 | 805 |
| 60 | -119.03 | -254.19 | 407 | 3.46 | -4.72 | 995 | -120.69 | -258.14 | 295 | 3.06 | -6.51 | 767 | | | 65 | -119.03 | -254.19 | 439 | 3.11 | -5.41 | 1067 | -120.69 | -258.14 | 323 | 2.70 | -7.20 | 840 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 70 | -119.03 | -254.19 | 477 | 2.79 | -6.06 | 1175 | -120.69 | -258.14 | 456 | 2.38 | -7.85 | 1216 | | 1 |
| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time |
| 10 | 14.87 | 8.48 | 85 | 10.55 | 11.08 | 217 | 15.81 | 6.61 | 85 | 10.30 | 9.24 | 252 |
| 20 | 2.97 | -20.07 | 146 | 7.90 | 4.88 | 365 | 1.55 | -22.24 | 152 | 7.63 | 3.08 | 413 |
| 30 | -18.23 | -67.35 | 210 | 6.44 | 1.33 | 519 | -18.63 | -69.46 | 173 | 6.09 | -0.46 | 455 |
| 40 | -50.81 | -137.34 | 275 | 5.15 | -1.19 | 695 | -50.80 | -139.08 | 197 | 4.79 | -2.98 | 546 |
| 50 | -93.31 | -225.95 | 346 | 4.29 | -3.12 | 857 | -92.72 | -226.90 | 300 | 3.87 | -4.91 | 805 |
| 60 | -119.03 | -254.19 | 407 | 3.46 | -4.72 | 995 | -120.69 | -258.14 | 295 | 3.06 | -6.51 | 767 | | | Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |
| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |
| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M | | 0 |
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |
| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |
| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |
| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |
| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 | | | TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |
| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |
| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 | | 1 |
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |
| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |
| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |
| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |
| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 | | | NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 |
| --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 |
| Locations | 1 | 2 | 3 | | | |
| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |
| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |
| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |
| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |
| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |
| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 |
| SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 |
| SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 |
| Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 | | 0 |
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |
| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |
| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |
| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 | | | TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |
| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |
| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |
| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 | | 1 |
| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |
| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |
| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |
| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |
| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 | | | HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |
| --- | --- | --- | --- | --- | --- | --- |
| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |
| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |
| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |
| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |
| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 |
| SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 |
| SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 |
| Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 | | 0 |
| Method | PP | CP | LR | LC |
| --- | --- | --- | --- | --- |
| tfidf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |
| tfidf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |
| tfidf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |
| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |
| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |
| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |
| node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 | | | comb-2(8000) | 45.64 | 77.26 | 88.86 | 24.57 |
| --- | --- | --- | --- | --- |
| comb-2(6000) | 46.68 | 75.74 | 87.67 | 25.08 |
| comb-2(10000) | 42.82 | 75.83 | 87.62 | 23.08 | | 1 |
| Method | PP | CP | LR | LC |
| --- | --- | --- | --- | --- |
| tfidf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |
| tfidf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |
| tfidf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |
| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |
| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |
| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |
| node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 | | | Methods | ROUGE-1 | ROUGE-2 | ROUGE-L | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| R | P | F1 | R | P | F1 | R | P | F1 | R | P | |
| LexRank | 11.32 | 11.16 | 11.04 | 1.32 | 1.34 | 1.31 | 10.33 | 10.16 | 10.06 | 3.41 | 3.38 |
| RMRt | 11.17 | 10.25 | 10.54 | 2.25 | 2.16 | 2.19 | 10.22 | 9.39 | 9.65 | 3.88 | 3.66 |
| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |
| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 | | 0 |
| Method | PP | CP | LR | LC |
| --- | --- | --- | --- | --- |
| tfidf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |
| tfidf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |
| tfidf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |
| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |
| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |
| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 | | | node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 |
| --- | --- | --- | --- | --- |
| comb-2(8000) | 45.64 | 77.26 | 88.86 | 24.57 |
| comb-2(6000) | 46.68 | 75.74 | 87.67 | 25.08 |
| comb-2(10000) | 42.82 | 75.83 | 87.62 | 23.08 | | 1 |
| Method | PP | CP | LR | LC |
| --- | --- | --- | --- | --- |
| tfidf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |
| tfidf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |
| tfidf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |
| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |
| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |
| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 | | | CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 | | 0 |
| | VoI | BDE | PRI | GTRC |
| --- | --- | --- | --- | --- |
| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |
| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |
| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |
| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |
| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |
| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 | | | PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |
| --- | --- | --- | --- | --- |
| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 | | 1 |
| | VoI | BDE | PRI | GTRC |
| --- | --- | --- | --- | --- |
| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |
| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |
| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |
| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |
| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |
| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 | | | | SDR(dB) | SIR(dB) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |
| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |
| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |
| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 | | 0 |
| | VoI | BDE | PRI | GTRC |
| --- | --- | --- | --- | --- |
| JCSD | 2.68 | 10.00 | 0.87 | 0.46 | | | AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |
| --- | --- | --- | --- | --- |
| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |
| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |
| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |
| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |
| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |
| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 | | 1 |
| | VoI | BDE | PRI | GTRC |
| --- | --- | --- | --- | --- |
| JCSD | 2.68 | 10.00 | 0.87 | 0.46 | | | Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 | | 0 |
| | Euclidean | SqEuclidean |
| --- | --- | --- |
| | mAPrank-1 | mAPrank-1 |
| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- | | | TriHard<br>AWTL | 66.6382.99<br>68.0384.20 | 64.4782.01<br>65.9582.16 |
| --- | --- | --- |
| TriHard(+Aug)<br>AWTL(+Aug) | 69.5785.14<br>70.8386.11 | 68.9284.12<br>69.6484.71 |
| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 71.1386.40<br>71.7686.94 | 0.160.36<br>70.1985.39 |
| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 66.5085.70<br>72.6088.06<br>75.6789.46 | --<br>--<br>74.8187.92 | | 1 |
| | Euclidean | SqEuclidean |
| --- | --- | --- |
| | mAPrank-1 | mAPrank-1 |
| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- | | | | Euclidean<br>mAPrank-1 | SqEuclidean<br>mAPrank-1 |
| --- | --- | --- |
| BoW+KISSME<br>LOMO+XQDA<br>Baseline<br>PAN<br>SVDNet | 12.1725.13<br>17.0430.75<br>44.9965.22<br>51.5171.59<br>56.8076.70 | --<br>--<br>--<br>--<br>-- |
| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |
| TriHard(+Aug)<br>AWTL(+Aug) | 56.6574.91<br>57.2875.31 | 0.481.25<br>55.9475.04 |
| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 54.9074.23<br>58.7477.69 | 0.300.94<br>57.8476.21 |
| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 48.9070.10<br>60.6079.20<br>63.4079.80 | --<br>--<br>63.2779.08 | | 0 |
| | Euclidean | SqEuclidean |
| --- | --- | --- |
| | mAPrank-1 | mAPrank-1 |
| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- | | | TriHard<br>AWTL | 66.6382.99<br>68.0384.20 | 64.4782.01<br>65.9582.16 |
| --- | --- | --- |
| TriHard(+Aug)<br>AWTL(+Aug) | 69.5785.14<br>70.8386.11 | 68.9284.12<br>69.6484.71 |
| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 71.1386.40<br>71.7686.94 | 0.160.36<br>70.1985.39 |
| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 66.5085.70<br>72.6088.06<br>75.6789.46 | --<br>--<br>74.8187.92 | | 1 |
| | Euclidean | SqEuclidean |
| --- | --- | --- |
| | mAPrank-1 | mAPrank-1 |
| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- | | | TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |
| --- | --- | --- |
| TriHard(+Aug)<br>AWTL(+Aug) | 56.6574.91<br>57.2875.31 | 0.481.25<br>55.9475.04 |
| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 54.9074.23<br>58.7477.69 | 0.300.94<br>57.8476.21 |
| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 48.9070.10<br>60.6079.20<br>63.4079.80 | --<br>--<br>63.2779.08 | | 0 |
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 | | | 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 |
| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |
| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |
| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 | | 1 |
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 | | | α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |
| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 | |
| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 | |
| 25 | 18.65 | 81.35 | 82.65 | 74.05 | 30.35 | 75.3 | 83.15 | |
| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 | |
| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 | | | 0 |
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |
| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 | |
| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 | | | | 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |
| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 | | 1 |
| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |
| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 | |
| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 | | | | 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 | | 0 |
| Attribute | Description |
| --- | --- |
| domain | application’sdomain | | | appname | applicationidentifier |
| --- | --- |
| access | application’spermissionsonthefixture |
| expires | expirationdatein<br>generalizedtimenotation:<br>(YYYYMMDDHHMMSSZ) | | 1 |
| Attribute | Description |
| --- | --- |
| domain | application’sdomain | | | Attributes | Possiblevalues |
| --- | --- |
| TYPE | or.INITIALSPREAD |
| STARTTIME | Timeatwhichthetracewasinitialized. |
| STARTINTENSITY | Initialintensityofthetrace. |
| INTENSITY | Apositiverealnumbersmallerthan300. |
| PATH | Alistof1to3parenttraces. |
| MAXINTENSITY | 300 |
| TARGETID | Usedforthetrackingmultipletargets. | | 0 |
| Attribute | Description |
| --- | --- |
| domain | application’sdomain | | | appname | applicationidentifier |
| --- | --- |
| access | application’spermissionsonthefixture |
| expires | expirationdatein<br>generalizedtimenotation:<br>(YYYYMMDDHHMMSSZ) | | 1 |
| Attribute | Description |
| --- | --- |
| domain | application’sdomain | | | MAXINTENSITY | 300 |
| --- | --- |
| TARGETID | Usedforthetrackingmultipletargets. | | 0 |
| modality | physicalproperty | f(V) | range |
| --- | --- | --- | --- |
| M1 | 2Dshape | max.intensitygradients | [0,π] | | | M2 | 3Dgeometry | max.normalvectors | [0,π] |
| --- | --- | --- | --- |
| M3 | transparency | unavailabledepth | {0,1} |
| M4 | specularreflection | max.intensity | {0,1} | | 1 |
| modality | physicalproperty | f(V) | range |
| --- | --- | --- | --- |
| M1 | 2Dshape | max.intensitygradients | [0,π] | | | Dataset | κ | Choiceofq | criterioncheck |
| --- | --- | --- | --- |
| Stereo | 0.8 | uniform | approximate |
| Inpainting | 0.7 | uniform | approximate |
| Denoise-sq | 0.8 | uniform | approximate |
| Denoise-ts | 0.7 | uniform | approximate |
| OpticalFlow | 0.9 | unary | exact |
| Color-seg-n4 | 0.9 | unary | exact |
| Color-seg-n8 | 0.9 | unary | exact | | 0 |
| modality | physicalproperty | f(V) | range |
| --- | --- | --- | --- |
| M1 | 2Dshape | max.intensitygradients | [0,π] |
| M2 | 3Dgeometry | max.normalvectors | [0,π] | | | M3 | transparency | unavailabledepth | {0,1} |
| --- | --- | --- | --- |
| M4 | specularreflection | max.intensity | {0,1} | | 1 |
| modality | physicalproperty | f(V) | range |
| --- | --- | --- | --- |
| M1 | 2Dshape | max.intensitygradients | [0,π] |
| M2 | 3Dgeometry | max.normalvectors | [0,π] | | | Denoise-ts | 0.7 | uniform | approximate |
| --- | --- | --- | --- |
| OpticalFlow | 0.9 | unary | exact |
| Color-seg-n4 | 0.9 | unary | exact |
| Color-seg-n8 | 0.9 | unary | exact | | 0 |
| Languagemodel | PPL |
| --- | --- |
| lettertrigraminputwithonelayer(baseline) | 63.2 |
| +twohiddenlayers | 61.8 |
| +threehiddenlayers | 59.1 |
| +fourhiddenlayers | 59.6 | | | +fivehiddenlayers | 60.2 |
| --- | --- |
| +sixhiddenlayers | 63.7 | | 1 |
| Languagemodel | PPL |
| --- | --- |
| lettertrigraminputwithonelayer(baseline) | 63.2 |
| +twohiddenlayers | 61.8 |
| +threehiddenlayers | 59.1 |
| +fourhiddenlayers | 59.6 | | | Languagemodel | PPL |
| --- | --- |
| RNN:2layers+wordinput(baseline) | 59.8 |
| LSTM:wordinputinforwarddirection | 54.4 |
| LSTM:wordinputinbackwarddirection | 53.4 |
| LSTM:lettertrigraminputinforwarddirection | 52.1 |
| LSTM:lettertrigraminputinbackwarddirection | 52.0 | | 0 |
| Languagemodel | PPL |
| --- | --- |
| lettertrigraminputwithonelayer(baseline) | 63.2 |
| +twohiddenlayers | 61.8 | | | +threehiddenlayers | 59.1 |
| --- | --- |
| +fourhiddenlayers | 59.6 |
| +fivehiddenlayers | 60.2 |
| +sixhiddenlayers | 63.7 | | 1 |
| Languagemodel | PPL |
| --- | --- |
| lettertrigraminputwithonelayer(baseline) | 63.2 |
| +twohiddenlayers | 61.8 | | | LSTM:wordinputinbackwarddirection | 53.4 |
| --- | --- |
| LSTM:lettertrigraminputinforwarddirection | 52.1 |
| LSTM:lettertrigraminputinbackwarddirection | 52.0 | | 0 |
| peak=1 | peak=2 | peak=5 | peak=10 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | +BLP | | +BLP | | +BLP | +BLP | +BLP | |
| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 | | | House | 23.56 | 23.74 | 24.74 | 25.15 | 26.78 | 27.74 | 28.76 | 29.80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Barbara | 21.37 | 21.56 | 22.33 | 22.51 | 24.57 | 25.12 | 26.52 | 27.31 |
| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |
| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 | | 1 |
| peak=1 | peak=2 | peak=5 | peak=10 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | +BLP | | +BLP | | +BLP | +BLP | +BLP | |
| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 | | | peak=2 | peak=5 | peak=10 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | |
| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |
| House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |
| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |
| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |
| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 | | 0 |
| peak=1 | peak=2 | peak=5 | peak=10 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | +BLP | | +BLP | | +BLP | +BLP | +BLP | |
| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 | | | House | 23.56 | 23.74 | 24.74 | 25.15 | 26.78 | 27.74 | 28.76 | 29.80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Barbara | 21.37 | 21.56 | 22.33 | 22.51 | 24.57 | 25.12 | 26.52 | 27.31 |
| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |
| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 | | 1 |
| peak=1 | peak=2 | peak=5 | peak=10 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | +BLP | | +BLP | | +BLP | +BLP | +BLP | |
| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 | | | Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |
| --- | --- | --- | --- | --- | --- | --- |
| House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |
| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |
| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |
| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 | | 0 |
| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |
| --- | --- | --- | --- |
| Sports | 64 | 0.972 | 1.93×10 |
| Animals | 108 | 0.982 | 3.14×10 |
| Clothes | 88 | 0.882 | 1.71×10 | | | Food | 107 | 0.979 | 2.56×10 |
| --- | --- | --- | --- |
| Furniture | 38 | 0.942 | 5.52×10 |
| Music | 16 | 0.983 | 1.30×10 |
| Plants | 33 | 0.954 | 2.36×10 |
| Structures | 17 | 0.973 | 8.33×10 |
| Places | 73 | 1.000 | 6.03×10 |
| Scenes | 113 | 0.923 | 1.41×10 |
| Vehicles | 53 | 0.978 | 6.55×10 | | 1 |
| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |
| --- | --- | --- | --- |
| Sports | 64 | 0.972 | 1.93×10 |
| Animals | 108 | 0.982 | 3.14×10 |
| Clothes | 88 | 0.882 | 1.71×10 | | | Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |
| --- | --- | --- | --- | --- |
| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |
| Lake | 0.004 | 0.085 | 0.129 | 0.173 |
| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |
| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |
| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |
| Face | 0.006 | 0.061 | 0.102 | 0.135 |
| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |
| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |
| Wall | 0.201 | 0.304 | 0.362 | 0.399 |
| Horse | 0.078 | 0.169 | 0.214 | 0.252 |
| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |
| Church | 0.009 | 0.081 | 0.126 | 0.167 | | 0 |
| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |
| --- | --- | --- | --- |
| Sports | 64 | 0.972 | 1.93×10 |
| Animals | 108 | 0.982 | 3.14×10 |
| Clothes | 88 | 0.882 | 1.71×10 |
| Food | 107 | 0.979 | 2.56×10 | | | Furniture | 38 | 0.942 | 5.52×10 |
| --- | --- | --- | --- |
| Music | 16 | 0.983 | 1.30×10 |
| Plants | 33 | 0.954 | 2.36×10 |
| Structures | 17 | 0.973 | 8.33×10 |
| Places | 73 | 1.000 | 6.03×10 |
| Scenes | 113 | 0.923 | 1.41×10 |
| Vehicles | 53 | 0.978 | 6.55×10 | | 1 |
| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |
| --- | --- | --- | --- |
| Sports | 64 | 0.972 | 1.93×10 |
| Animals | 108 | 0.982 | 3.14×10 |
| Clothes | 88 | 0.882 | 1.71×10 |
| Food | 107 | 0.979 | 2.56×10 | | | Face | 0.006 | 0.061 | 0.102 | 0.135 |
| --- | --- | --- | --- | --- |
| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |
| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |
| Wall | 0.201 | 0.304 | 0.362 | 0.399 |
| Horse | 0.078 | 0.169 | 0.214 | 0.252 |
| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |
| Church | 0.009 | 0.081 | 0.126 | 0.167 | | 0 |
| Parameter | Value |
| --- | --- |
| Pipelinewidth | 4(2ALUs,2memory,1mult) |
| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |
| IFQ,RUU,LSQ | 16instructions,128entries,64entries |
| Branchpredictor | 2-level |
| Firstlevel | 13-bitregister(xoredwithPC) |
| Secondlevel | 8192entries |
| BTB | 4096entries,2-way |
| Instructionset | PISA | | | L1cache | 32KBI&D,4-assoc,64Blines,1cyclehit |
| --- | --- |
| L2cache | 512KB,8-assoc,256Blines,5cycleshit |
| L3cache | 2MB,8-assoc,256Blines,20cycleshit |
| Memory | 200cyclesfirstchunk,20cyclesnextchunk | | 1 |
| Parameter | Value |
| --- | --- |
| Pipelinewidth | 4(2ALUs,2memory,1mult) |
| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |
| IFQ,RUU,LSQ | 16instructions,128entries,64entries |
| Branchpredictor | 2-level |
| Firstlevel | 13-bitregister(xoredwithPC) |
| Secondlevel | 8192entries |
| BTB | 4096entries,2-way |
| Instructionset | PISA | | | Oceancp | Radix | | | |
| --- | --- | --- | --- | --- |
| T=400 | T=1,200 | T=400 | T=1,200 | |
| Cores | 2 | 2 | 4 | 4 |
| Frequency | 3200 | 3200 | 3200 | 3200 |
| L1-ICacheSize | 8 | 128 | 8 | 128 |
| L1-DCacheSize | 32 | 128 | 64 | 16 |
| L2CacheSize | 1024 | 512 | 1024 | 512 |
| L3CacheSize | 4096 | 8192 | 8192 | 8192 |
| FIRWidth | 16 | 4 | 2 | 2 |
| ROBSize | 256 | 256 | 64 | 64 |
| BranchPrediction | x2 | x2 | x2 | x |
| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |
| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 | | 0 |
| Parameter | Value |
| --- | --- |
| Pipelinewidth | 4(2ALUs,2memory,1mult) |
| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |
| IFQ,RUU,LSQ | 16instructions,128entries,64entries |
| Branchpredictor | 2-level |
| Firstlevel | 13-bitregister(xoredwithPC) |
| Secondlevel | 8192entries |
| BTB | 4096entries,2-way | | | Instructionset | PISA |
| --- | --- |
| L1cache | 32KBI&D,4-assoc,64Blines,1cyclehit |
| L2cache | 512KB,8-assoc,256Blines,5cycleshit |
| L3cache | 2MB,8-assoc,256Blines,20cycleshit |
| Memory | 200cyclesfirstchunk,20cyclesnextchunk | | 1 |
| Parameter | Value |
| --- | --- |
| Pipelinewidth | 4(2ALUs,2memory,1mult) |
| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |
| IFQ,RUU,LSQ | 16instructions,128entries,64entries |
| Branchpredictor | 2-level |
| Firstlevel | 13-bitregister(xoredwithPC) |
| Secondlevel | 8192entries |
| BTB | 4096entries,2-way | | | L2CacheSize | 1024 | 512 | 1024 | 512 |
| --- | --- | --- | --- | --- |
| L3CacheSize | 4096 | 8192 | 8192 | 8192 |
| FIRWidth | 16 | 4 | 2 | 2 |
| ROBSize | 256 | 256 | 64 | 64 |
| BranchPrediction | x2 | x2 | x2 | x |
| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |
| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 | | 0 |
| | | Our-Sampling | Our-Smooth |
| --- | --- | --- | --- |
| 51.7 | 27.5 | 40.6 | 45.9 | | | 17.5 | 33.3 | 39.8 | 40.6 |
| --- | --- | --- | --- |
| 34.4 | 27.8 | 33.3 | 36.4 |
| 34.7 | 34.1 | 34.1 | 33.9 |
| 22.3 | 42.0 | 35.3 | 35.3 |
| 17.9 | 28.4 | 18.9 | 22.1 |
| 13.5 | 35.7 | 27.0 | 27.2 |
| 26.7 | 35.6 | 21.9 | 25.2 |
| 41.2 | 22.0 | 17.6 | 20.0 |
| 25.0 | 25.0 | 32.6 | 35.8 |
| 28.5 | 31.1 | 30.1 | 32.2 | | 1 |
| | | Our-Sampling | Our-Smooth |
| --- | --- | --- | --- |
| 51.7 | 27.5 | 40.6 | 45.9 | | | 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |
| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |
| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |
| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 | | 0 |
| | | Our-Sampling | Our-Smooth |
| --- | --- | --- | --- |
| 51.7 | 27.5 | 40.6 | 45.9 |
| 17.5 | 33.3 | 39.8 | 40.6 |
| 34.4 | 27.8 | 33.3 | 36.4 |
| 34.7 | 34.1 | 34.1 | 33.9 |
| 22.3 | 42.0 | 35.3 | 35.3 |
| 17.9 | 28.4 | 18.9 | 22.1 |
| 13.5 | 35.7 | 27.0 | 27.2 |
| 26.7 | 35.6 | 21.9 | 25.2 | | | 41.2 | 22.0 | 17.6 | 20.0 |
| --- | --- | --- | --- |
| 25.0 | 25.0 | 32.6 | 35.8 |
| 28.5 | 31.1 | 30.1 | 32.2 | | 1 |
| | | Our-Sampling | Our-Smooth |
| --- | --- | --- | --- |
| 51.7 | 27.5 | 40.6 | 45.9 |
| 17.5 | 33.3 | 39.8 | 40.6 |
| 34.4 | 27.8 | 33.3 | 36.4 |
| 34.7 | 34.1 | 34.1 | 33.9 |
| 22.3 | 42.0 | 35.3 | 35.3 |
| 17.9 | 28.4 | 18.9 | 22.1 |
| 13.5 | 35.7 | 27.0 | 27.2 |
| 26.7 | 35.6 | 21.9 | 25.2 | | | 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 | | 0 |
| Feature |
| --- |
| Numberofexclamation/questionmark | | | Numberofpositive/negativewords |
| --- |
| Sentimentscore |
| Numberofwords/characters |
| Numberoffirst/second/thirdorderofperson |
| NumberofPeople/Location/Organization |
| NumberofURL/@/# | | 1 |
| Feature |
| --- |
| Numberofexclamation/questionmark | | | NumberofDocuments: | 163 |
| --- | --- |
| NumberofToken: | 71,888 |
| NumberofSentences: | 3,027 |
| AnnotatedSentences(messages): | 1,017 |
| DistinctVerbsandNounsintheCorpus: | 7,185 |
| DistinctVerbsandNounsintheMessages: | 2,426 | | 0 |
| Feature |
| --- |
| Numberofexclamation/questionmark |
| Numberofpositive/negativewords |
| Sentimentscore | | | Numberofwords/characters |
| --- |
| Numberoffirst/second/thirdorderofperson |
| NumberofPeople/Location/Organization |
| NumberofURL/@/# | | 1 |
| Feature |
| --- |
| Numberofexclamation/questionmark |
| Numberofpositive/negativewords |
| Sentimentscore | | | DistinctVerbsandNounsintheCorpus: | 7,185 |
| --- | --- |
| DistinctVerbsandNounsintheMessages: | 2,426 | | 0 |
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