premise string | hypothesis string | label int64 |
|---|---|---|
| Lauter(RLWE) | 2-RLWE | 3-RLWE |
| --- | --- | --- |
| n | | | | | (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE |
| --- | --- | --- |
| numberofciphertexts | | |
| 2NI | 2I | 2 |
| ciphertextsproducts | | |
| NI | I | 1 | | 1 |
| Lauter(RLWE) | 2-RLWE | 3-RLWE |
| --- | --- | --- |
| n | | | | | Lauter(RLWE) | 2-RLWE | 3-RLWE |
| --- | --- | --- |
| n | | |
| (N+F−1)hRLWE | (N+F−1)h2−RLWE | (N+F−1)hI3−RLWE |
| numberofciphertexts | | |
| (N+F)I | 2I | 2 |
| ciphertextsproducts | | |
| NFI | I | 1 | | 0 |
| Lauter(RLWE) | 2-RLWE | 3-RLWE |
| --- | --- | --- |
| n | | |
| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE | | | numberofciphertexts | | |
| --- | --- | --- |
| 2NI | 2I | 2 |
| ciphertextsproducts | | |
| NI | I | 1 | | 1 |
| Lauter(RLWE) | 2-RLWE | 3-RLWE |
| --- | --- | --- |
| n | | |
| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE | | | ciphertextsproducts | | |
| --- | --- | --- |
| NFI | I | 1 | | 0 |
| Sequence | Lanes | Incorrectdetection | Misdetection |
| --- | --- | --- | --- |
| 1 | 860 | 0 | 0 |
| 2 | 594 | 0 | 0 |
| 3 | 376 | 0 | 0 |
| 4 | 156 | 0 | 9 |
| 5 | 678 | 0 | 17 | | | 6 | 1060 | 14 | 7 |
| --- | --- | --- | --- |
| Total | 3724 | 14 | 33 | | 1 |
| Sequence | Lanes | Incorrectdetection | Misdetection |
| --- | --- | --- | --- |
| 1 | 860 | 0 | 0 |
| 2 | 594 | 0 | 0 |
| 3 | 376 | 0 | 0 |
| 4 | 156 | 0 | 9 |
| 5 | 678 | 0 | 17 | | | 32 | 128 | 512 |
| --- | --- | --- |
| 32 | 128 | 512 |
| 288 | 1152 | 4608 |
| 800 | 3200 | 12800 |
| 1568 | 6272 | 25088 | | 0 |
| Sequence | Lanes | Incorrectdetection | Misdetection |
| --- | --- | --- | --- |
| 1 | 860 | 0 | 0 |
| 2 | 594 | 0 | 0 |
| 3 | 376 | 0 | 0 |
| 4 | 156 | 0 | 9 | | | 5 | 678 | 0 | 17 |
| --- | --- | --- | --- |
| 6 | 1060 | 14 | 7 |
| Total | 3724 | 14 | 33 | | 1 |
| Sequence | Lanes | Incorrectdetection | Misdetection |
| --- | --- | --- | --- |
| 1 | 860 | 0 | 0 |
| 2 | 594 | 0 | 0 |
| 3 | 376 | 0 | 0 |
| 4 | 156 | 0 | 9 | | | 288 | 1152 | 4608 |
| --- | --- | --- |
| 800 | 3200 | 12800 |
| 1568 | 6272 | 25088 | | 0 |
| network | τ(G) | σ(G) | θ(G) |
| --- | --- | --- | --- |
| cithepph | 0.22 | 0.56 | 0.37 |
| cithepth | 0.2 | 0.53 | 0.36 |
| colastroph | 0.24 | 0.51 | 0.49 |
| colcondmat | 0.37 | 0.64 | 0.76 |
| colgrqc | 0.44 | 0.79 | 0.89 |
| colhepph | 0.26 | 0.58 | 0.7 |
| colhepth | 0.39 | 0.69 | 0.83 |
| emailenron | 0.21 | 0.5 | 0.63 |
| emaileuall | 0.39 | 0.73 | 0.76 |
| p2p4 | 0.11 | 0.38 | 0.36 |
| p2p5 | 0.11 | 0.4 | 0.36 |
| p2p6 | 0.12 | 0.39 | 0.38 | | | p2p8 | 0.15 | 0.46 | 0.46 |
| --- | --- | --- | --- |
| p2p9 | 0.15 | 0.46 | 0.42 |
| p2p24 | 0.21 | 0.47 | 0.48 |
| p2p25 | 0.23 | 0.49 | 0.5 |
| p2p30 | 0.24 | 0.5 | 0.53 |
| p2p31 | 0.25 | 0.5 | 0.52 |
| roadnetca | 0.67 | 0.99 | 0.98 |
| roadnetpa | 0.66 | 0.99 | 0.98 |
| roadnettx | 0.67 | 0.99 | 0.98 | | 1 |
| network | τ(G) | σ(G) | θ(G) |
| --- | --- | --- | --- |
| cithepph | 0.22 | 0.56 | 0.37 |
| cithepth | 0.2 | 0.53 | 0.36 |
| colastroph | 0.24 | 0.51 | 0.49 |
| colcondmat | 0.37 | 0.64 | 0.76 |
| colgrqc | 0.44 | 0.79 | 0.89 |
| colhepph | 0.26 | 0.58 | 0.7 |
| colhepth | 0.39 | 0.69 | 0.83 |
| emailenron | 0.21 | 0.5 | 0.63 |
| emaileuall | 0.39 | 0.73 | 0.76 |
| p2p4 | 0.11 | 0.38 | 0.36 |
| p2p5 | 0.11 | 0.4 | 0.36 |
| p2p6 | 0.12 | 0.39 | 0.38 | | | t,T | at | bt | pA,t | PA,t |
| --- | --- | --- | --- | --- |
| 0,1 | 0.080 | 0 | 0.500 | 0.722 |
| 5,2 | 0 | 0.117 | 0.722 | 0.839 |
| 10,3 | 0 | 0.261 | 0839 | 0.564 |
| 15,4 | 0 | 0.055 | 0.564 | 0.712 |
| 20,5 | 0 | 0.077 | 0.712 | 0.903 |
| 25,6 | 0 | 0.154 | 0.903 | 0.803 |
| 30,7 | 0 | 0.251 | 0.803 | 0.576 |
| 35,8 | 0 | 0.108 | 0.576 | 0.590 |
| 40,9 | 0 | 0.176 | 0.590 | 0.437 |
| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |
| 50,11 | 0 | 0.152 | 0.568 | 0.419 |
| 55,12 | 00746 | 0 | 0.419 | 0.283 | | 0 |
| network | τ(G) | σ(G) | θ(G) |
| --- | --- | --- | --- |
| cithepph | 0.22 | 0.56 | 0.37 |
| cithepth | 0.2 | 0.53 | 0.36 |
| colastroph | 0.24 | 0.51 | 0.49 |
| colcondmat | 0.37 | 0.64 | 0.76 |
| colgrqc | 0.44 | 0.79 | 0.89 |
| colhepph | 0.26 | 0.58 | 0.7 |
| colhepth | 0.39 | 0.69 | 0.83 |
| emailenron | 0.21 | 0.5 | 0.63 |
| emaileuall | 0.39 | 0.73 | 0.76 |
| p2p4 | 0.11 | 0.38 | 0.36 |
| p2p5 | 0.11 | 0.4 | 0.36 |
| p2p6 | 0.12 | 0.39 | 0.38 |
| p2p8 | 0.15 | 0.46 | 0.46 | | | p2p9 | 0.15 | 0.46 | 0.42 |
| --- | --- | --- | --- |
| p2p24 | 0.21 | 0.47 | 0.48 |
| p2p25 | 0.23 | 0.49 | 0.5 |
| p2p30 | 0.24 | 0.5 | 0.53 |
| p2p31 | 0.25 | 0.5 | 0.52 |
| roadnetca | 0.67 | 0.99 | 0.98 |
| roadnetpa | 0.66 | 0.99 | 0.98 |
| roadnettx | 0.67 | 0.99 | 0.98 | | 1 |
| network | τ(G) | σ(G) | θ(G) |
| --- | --- | --- | --- |
| cithepph | 0.22 | 0.56 | 0.37 |
| cithepth | 0.2 | 0.53 | 0.36 |
| colastroph | 0.24 | 0.51 | 0.49 |
| colcondmat | 0.37 | 0.64 | 0.76 |
| colgrqc | 0.44 | 0.79 | 0.89 |
| colhepph | 0.26 | 0.58 | 0.7 |
| colhepth | 0.39 | 0.69 | 0.83 |
| emailenron | 0.21 | 0.5 | 0.63 |
| emaileuall | 0.39 | 0.73 | 0.76 |
| p2p4 | 0.11 | 0.38 | 0.36 |
| p2p5 | 0.11 | 0.4 | 0.36 |
| p2p6 | 0.12 | 0.39 | 0.38 |
| p2p8 | 0.15 | 0.46 | 0.46 | | | 45,10 | 0.1397 | 0 | 0.437 | 0.568 |
| --- | --- | --- | --- | --- |
| 50,11 | 0 | 0.152 | 0.568 | 0.419 |
| 55,12 | 00746 | 0 | 0.419 | 0.283 | | 0 |
| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |
| --- | --- | --- | --- | --- |
| 343220 | Normalrhythm | 1 | 10000 | Trainin |
| 33093 | Normalrhythm | 1 | 10000 | Trainin |
| 343220 | Normalrhythm | 3000 | 65000 | Validati | | | 33093 | Normalrhythm | 3000 | 65000 | Validati |
| --- | --- | --- | --- | --- |
| 221708 | Normalrhythm | 1 | 65000 | Testing |
| 343300 | Ventricularflutter | 3000 | 6000 | Trainin<br>&<br>Validati |
| 176230 | Ventricularflutter | 3000 | 6000 | Trainin<br>&<br>Validati |
| 198a385 | Ventricularflutter | 10000 | 15000 | Testing | | 1 |
| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |
| --- | --- | --- | --- | --- |
| 343220 | Normalrhythm | 1 | 10000 | Trainin |
| 33093 | Normalrhythm | 1 | 10000 | Trainin |
| 343220 | Normalrhythm | 3000 | 65000 | Validati | | | MedLine | Prec | Rec | F-score | Lx | errorTest |
| --- | --- | --- | --- | --- | --- |
| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |
| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |
| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |
| DrugBank | Prec | Rec | F-score | Lx | errorTest |
| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |
| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |
| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 | | 0 |
| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |
| --- | --- | --- | --- | --- |
| 343220 | Normalrhythm | 1 | 10000 | Trainin |
| 33093 | Normalrhythm | 1 | 10000 | Trainin |
| 343220 | Normalrhythm | 3000 | 65000 | Validati |
| 33093 | Normalrhythm | 3000 | 65000 | Validati |
| 221708 | Normalrhythm | 1 | 65000 | Testing |
| 343300 | Ventricularflutter | 3000 | 6000 | Trainin<br>&<br>Validati | | | 176230 | Ventricularflutter | 3000 | 6000 | Trainin<br>&<br>Validati |
| --- | --- | --- | --- | --- |
| 198a385 | Ventricularflutter | 10000 | 15000 | Testing | | 1 |
| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |
| --- | --- | --- | --- | --- |
| 343220 | Normalrhythm | 1 | 10000 | Trainin |
| 33093 | Normalrhythm | 1 | 10000 | Trainin |
| 343220 | Normalrhythm | 3000 | 65000 | Validati |
| 33093 | Normalrhythm | 3000 | 65000 | Validati |
| 221708 | Normalrhythm | 1 | 65000 | Testing |
| 343300 | Ventricularflutter | 3000 | 6000 | Trainin<br>&<br>Validati | | | (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |
| --- | --- | --- | --- | --- | --- |
| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |
| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 | | 0 |
| | Precision | Recall | F-measure | Coherence |
| --- | --- | --- | --- | --- |
| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |
| AMLR(nofilter) | 60.0 | 74.2 | 66.7 | 0 |
| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |
| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 | | | AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |
| --- | --- | --- | --- | --- |
| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |
| ALCOMO | 59.9 | 74.2 | 66.7 | 2 | | 1 |
| | Precision | Recall | F-measure | Coherence |
| --- | --- | --- | --- | --- |
| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |
| AMLR(nofilter) | 60.0 | 74.2 | 66.7 | 0 |
| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |
| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 | | | | RunningTime(seconds) | Precision | Recall | F-measure |
| --- | --- | --- | --- | --- |
| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |
| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |
| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |
| MMRate | 21677 | 0.085 | 0.565 | 0.148 |
| NetRate | 14404 | 0.081 | 0.566 | 0.142 | | 0 |
| | Precision | Recall | F-measure | Coherence |
| --- | --- | --- | --- | --- |
| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |
| AMLR(nofilter) | 60.0 | 74.2 | 66.7 | 0 | | | AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |
| --- | --- | --- | --- | --- |
| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |
| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |
| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |
| ALCOMO | 59.9 | 74.2 | 66.7 | 2 | | 1 |
| | Precision | Recall | F-measure | Coherence |
| --- | --- | --- | --- | --- |
| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |
| AMLR(nofilter) | 60.0 | 74.2 | 66.7 | 0 | | | I-CENI | 7358 | 0.078 | 0.571 | 0.137 |
| --- | --- | --- | --- | --- |
| MMRate | 21677 | 0.085 | 0.565 | 0.148 |
| NetRate | 14404 | 0.081 | 0.566 | 0.142 | | 0 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |
| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |
| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 | | | | nData=10 | | |
| --- | --- | --- | --- |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |
| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 | | 1 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |
| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |
| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 | | | Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |
| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |
| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |
| | nData=10 | | |
| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |
| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |
| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 | | 0 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 | | | Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |
| --- | --- | --- | --- |
| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |
| | nData=10 | | |
| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |
| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |
| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 | | 1 |
| Algorithm | nData=5 | | |
| --- | --- | --- | --- |
| recall | precision | F1 | |
| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 | | | He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |
| --- | --- | --- | --- |
| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |
| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 | | 0 |
| Domain | DistantSupervision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dev | Test | Dev | | | | | |
| EM | F1 | EM | F1 | EM | F1 | EM | |
| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |
| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 | | | | Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 | | | 1 |
| Domain | DistantSupervision | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dev | Test | Dev | | | | | |
| EM | F1 | EM | F1 | EM | F1 | EM | |
| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |
| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 | | | | H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |
| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |
| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| Domain | DistantSupervision | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Dev | Test | Dev | | | | |
| EM | F1 | EM | F1 | EM | F1 | EM | | | Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 | |
| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |
| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 | | | 1 |
| Domain | DistantSupervision | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Dev | Test | Dev | | | | |
| EM | F1 | EM | F1 | EM | F1 | EM | | | 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |
| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |
| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 | | 0 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 | | | -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| --- |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 | | | -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 0 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 | | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| --- |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |
| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 | | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |
| --- |
| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |
| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |
| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 | | 0 |
| Metric | Facebook | SmallTwitter | LargeTwitter |
| --- | --- | --- | --- |
| #Nodes | 43,953 | 8,167 | 41,652,230 |
| #Edges | 182,384 | 68,282 | 1,202,513,046 | | | Ave.degree | 8.29 | 16.72 | 57.74 |
| --- | --- | --- | --- |
| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 | | 1 |
| Metric | Facebook | SmallTwitter | LargeTwitter |
| --- | --- | --- | --- |
| #Nodes | 43,953 | 8,167 | 41,652,230 |
| #Edges | 182,384 | 68,282 | 1,202,513,046 | | | Dataset | #Nodes | #Edges | Ave.degree |
| --- | --- | --- | --- |
| Facebook | 4,039 | 88,234 | 43.69 |
| Enron | 33,696 | 180,811 | 10.73 |
| Epinions | 75,877 | 811,478 | 21.39 |
| Twitter | 41,652,230 | 1,202,513,046 | 57.74 | | 0 |
| Metric | Facebook | SmallTwitter | LargeTwitter |
| --- | --- | --- | --- |
| #Nodes | 43,953 | 8,167 | 41,652,230 | | | #Edges | 182,384 | 68,282 | 1,202,513,046 |
| --- | --- | --- | --- |
| Ave.degree | 8.29 | 16.72 | 57.74 |
| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 | | 1 |
| Metric | Facebook | SmallTwitter | LargeTwitter |
| --- | --- | --- | --- |
| #Nodes | 43,953 | 8,167 | 41,652,230 | | | Epinions | 75,877 | 811,478 | 21.39 |
| --- | --- | --- | --- |
| Twitter | 41,652,230 | 1,202,513,046 | 57.74 | | 0 |
| Method | Year | Precision | Recall | F-measure |
| --- | --- | --- | --- | --- |
| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |
| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 |
| Zhangetal. | CVPR2015 | 0.84 | 0.76 | 0.80 |
| MSERs-CNN | ECCV2014 | 0.88 | 0.71 | 0.78 | | | Yinetal. | TPAMI2014 | 0.86 | 0.68 | 0.75 |
| --- | --- | --- | --- | --- |
| Faster-RCNN | NIPS2015 | 0.74 | 0.71 | 0.72 | | 1 |
| Method | Year | Precision | Recall | F-measure |
| --- | --- | --- | --- | --- |
| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |
| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 |
| Zhangetal. | CVPR2015 | 0.84 | 0.76 | 0.80 |
| MSERs-CNN | ECCV2014 | 0.88 | 0.71 | 0.78 | | | Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed | 0.71 | 0.43 | 0.54 |
| StradVision-2 | 0.77 | 0.37 | 0.50 |
| StradVision-1 | 0.53 | 0.46 | 0.50 |
| NJUText | 0.70 | 0.36 | 0.47 |
| AJOU | 0.47 | 0.47 | 0.47 |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 |
| Deep2Text-MO | 0.50 | 0.32 | 0.39 |
| CNNProposal | 0.35 | 0.34 | 0.35 |
| TextCatcher-2 | 0.25 | 0.34 | 0.29 | | 0 |
| Method | Year | Precision | Recall | F-measure |
| --- | --- | --- | --- | --- |
| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |
| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 | | | Zhangetal. | CVPR2015 | 0.84 | 0.76 | 0.80 |
| --- | --- | --- | --- | --- |
| MSERs-CNN | ECCV2014 | 0.88 | 0.71 | 0.78 |
| Yinetal. | TPAMI2014 | 0.86 | 0.68 | 0.75 |
| Faster-RCNN | NIPS2015 | 0.74 | 0.71 | 0.72 | | 1 |
| Method | Year | Precision | Recall | F-measure |
| --- | --- | --- | --- | --- |
| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |
| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 | | | AJOU | 0.47 | 0.47 | 0.47 |
| --- | --- | --- | --- |
| HUSTMCLAB | 0.44 | 0.38 | 0.41 |
| Deep2Text-MO | 0.50 | 0.32 | 0.39 |
| CNNProposal | 0.35 | 0.34 | 0.35 |
| TextCatcher-2 | 0.25 | 0.34 | 0.29 | | 0 |
| 97.88 | 97.85 |
| --- | --- |
| 97.59 | 97.13 | | | 94.51<br>92.60 | 94.46<br>92.57 |
| --- | --- |
| 0.236 | 0.239 |
| 84.6 | 84.2 | | 1 |
| 97.88 | 97.85 |
| --- | --- |
| 97.59 | 97.13 | | | 97.88 |
| --- |
| 97.59 |
| 94.51<br>92.60 |
| 0.236 |
| 84.6 | | 0 |
| 97.88 | 97.85 |
| --- | --- |
| 97.59 | 97.13 |
| 94.51<br>92.60 | 94.46<br>92.57 | | | 0.236 | 0.239 |
| --- | --- |
| 84.6 | 84.2 | | 1 |
| 97.88 | 97.85 |
| --- | --- |
| 97.59 | 97.13 |
| 94.51<br>92.60 | 94.46<br>92.57 | | | 94.51<br>92.60 |
| --- |
| 0.236 |
| 84.6 | | 0 |
| Experiment | EnhancedRulesetDistribution | InformationType |
| --- | --- | --- |
| A | 00 | Semantic |
| B | 11 | Semantic | | | C | 00 | Syntactic |
| --- | --- | --- |
| D | 00 | Both |
| E | 11 | Both | | 1 |
| Experiment | EnhancedRulesetDistribution | InformationType |
| --- | --- | --- |
| A | 00 | Semantic |
| B | 11 | Semantic | | | Informationgainratio | Attribute |
| --- | --- |
| 1 | totalread |
| 0.1842 | wordlength |
| 0.1611 | totalfastasize |
| 0.1208 | totalgenomes |
| 0.0421 | length |
| 0.0271 | similarity | | 0 |
| Experiment | EnhancedRulesetDistribution | InformationType |
| --- | --- | --- |
| A | 00 | Semantic |
| B | 11 | Semantic |
| C | 00 | Syntactic | | | D | 00 | Both |
| --- | --- | --- |
| E | 11 | Both | | 1 |
| Experiment | EnhancedRulesetDistribution | InformationType |
| --- | --- | --- |
| A | 00 | Semantic |
| B | 11 | Semantic |
| C | 00 | Syntactic | | | 0.1842 | wordlength |
| --- | --- |
| 0.1611 | totalfastasize |
| 0.1208 | totalgenomes |
| 0.0421 | length |
| 0.0271 | similarity | | 0 |
| | a | b | c | d | e |
| --- | --- | --- | --- | --- | --- |
| i | 1.25 | 1.05 | 1.12 | 1.57 | |
| j | .83 | 1.13 | 1.02 | .35 | .18 | | | k | 0 | .35 | .21 | -.56 | 1.02 |
| --- | --- | --- | --- | --- | --- |
| (cid:96) | -.12 | | | | .98 | | 1 |
| | a | b | c | d | e |
| --- | --- | --- | --- | --- | --- |
| i | 1.25 | 1.05 | 1.12 | 1.57 | |
| j | .83 | 1.13 | 1.02 | .35 | .18 | | | K | dc | (d+1)/Kc | d/Kc | α(from)d |
| --- | --- | --- | --- | --- |
| 2 | 2 | 1.5 | 1 | 1 |
| 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 |
| 6 | 182 | 30.5 | 30.33 | 30.5 |
| 7 | 400 | 57.28 | 57.14 | 57.22 |
| 8 | 856 | 107.13 | 107.00 | 107.24 | | 0 |
| | a | b | c | d | e |
| --- | --- | --- | --- | --- | --- |
| i | 1.25 | 1.05 | 1.12 | 1.57 | |
| j | .83 | 1.13 | 1.02 | .35 | .18 | | | k | 0 | .35 | .21 | -.56 | 1.02 |
| --- | --- | --- | --- | --- | --- |
| (cid:96) | -.12 | | | | .98 | | 1 |
| | a | b | c | d | e |
| --- | --- | --- | --- | --- | --- |
| i | 1.25 | 1.05 | 1.12 | 1.57 | |
| j | .83 | 1.13 | 1.02 | .35 | .18 | | | 3 | 11.5 | 4.166 | 3.83 | 3.927 |
| --- | --- | --- | --- | --- |
| 4 | 32.6 | 8.4 | 8.15 | 8.297 |
| 5 | 80 | 16.2 | 16.00 | 16.12 |
| 6 | 182 | 30.5 | 30.33 | 30.5 |
| 7 | 400 | 57.28 | 57.14 | 57.22 |
| 8 | 856 | 107.13 | 107.00 | 107.24 | | 0 |
| Dataset | Label | P | R | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove | | |
| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |
| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |
| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |
| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 | | | T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |
| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |
| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 | | 1 |
| Dataset | Label | P | R | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove | | |
| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |
| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |
| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |
| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 | | | Dataset | Label | P | R | F1 | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | | |
| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |
| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |
| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 | | 0 |
| Dataset | Label | P | R | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove | | |
| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |
| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |
| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |
| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |
| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 | | | T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |
| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 | | 1 |
| Dataset | Label | P | R | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove | | |
| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |
| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |
| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |
| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |
| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 | | | F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |
| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 | | 0 |
| | fc7 | pool5 |
| --- | --- | --- |
| Baseline | 0.334 | 0.320 | | | k=1 | 0.440 | 0.436 |
| --- | --- | --- |
| k=3 | 0.519 | 0.522 |
| k=5 | 0.557 | 0.565 | | 1 |
| | fc7 | pool5 |
| --- | --- | --- |
| Baseline | 0.334 | 0.320 | | | 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 | | 0 |
| | fc7 | pool5 |
| --- | --- | --- |
| Baseline | 0.334 | 0.320 |
| k=1 | 0.440 | 0.436 | | | k=3 | 0.519 | 0.522 |
| --- | --- | --- |
| k=5 | 0.557 | 0.565 | | 1 |
| | fc7 | pool5 |
| --- | --- | --- |
| Baseline | 0.334 | 0.320 |
| k=1 | 0.440 | 0.436 | | | 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 | | 0 |
| Train<br>VP | Test<br>VP | Supervised | Unsupervised |
| --- | --- | --- | --- |
| Attributes | word2vec | BoW | | | | 1 | 1 | 43.3 | 25.0 | 21.8 |
| --- | --- | --- | --- | --- |
| 19 | 1 | 47.0 | 26.8 | 22.6 |
| 19 | 19 | 56.5 | 32.1 | 26.0 | | 1 |
| Train<br>VP | Test<br>VP | Supervised | Unsupervised |
| --- | --- | --- | --- |
| Attributes | word2vec | BoW | | | | VisualParts(VP) | | | | |
| --- | --- | --- | --- | --- |
| Train→ | 1 | 19 | 19 | |
| Test↓→ | 1 | 1 | 19 | |
| LanguageParts<br>(LP) | 1 | 25.0 | 26.8 | 32.1 |
| 50 | 23.6 | 30.5 | 33.9 | | | 0 |
| Train<br>VP | Test<br>VP | Supervised | Unsupervised |
| --- | --- | --- | --- |
| Attributes | word2vec | BoW | | | | 1 | 1 | 43.3 | 25.0 | 21.8 |
| --- | --- | --- | --- | --- |
| 19 | 1 | 47.0 | 26.8 | 22.6 |
| 19 | 19 | 56.5 | 32.1 | 26.0 | | 1 |
| Train<br>VP | Test<br>VP | Supervised | Unsupervised |
| --- | --- | --- | --- |
| Attributes | word2vec | BoW | | | | Test↓→ | 1 | 1 | 19 | |
| --- | --- | --- | --- | --- |
| LanguageParts<br>(LP) | 1 | 25.0 | 26.8 | 32.1 |
| 50 | 23.6 | 30.5 | 33.9 | | | 0 |
| Flickr(mAP) |
| --- |
| 63.64 | | | 63.07 |
| --- |
| 62.45 |
| 61.21 | | 1 |
| Flickr(mAP) |
| --- |
| 63.64 | | | Descriptor | #offloats |
| --- | --- |
| FPFH | 33 |
| SHOT | 135 |
| USC | 1980 |
| RoPS | 352 |
| 3DBS-32 | 48 |
| 3DBS-64 | 192 | | 0 |
| Flickr(mAP) |
| --- |
| 63.64 |
| 63.07 | | | 62.45 |
| --- |
| 61.21 | | 1 |
| Flickr(mAP) |
| --- |
| 63.64 |
| 63.07 | | | USC | 1980 |
| --- | --- |
| RoPS | 352 |
| 3DBS-32 | 48 |
| 3DBS-64 | 192 | | 0 |
| Algorithm | Wordrecognitionrate |
| --- | --- |
| Humansegmentation(Preprocessed) | 79.6 |
| Humansegmentation | 74.8 | | | Mishraet.al | 73.3 |
| --- | --- |
| Wanget.al | 56.0 |
| Abbyyreader | 47.7 | | 1 |
| Algorithm | Wordrecognitionrate |
| --- | --- |
| Humansegmentation(Preprocessed) | 79.6 |
| Humansegmentation | 74.8 | | | Algorithm | Wordrecognitionrate |
| --- | --- |
| Humansegmentation(Preprocessed) | 89.3 |
| Humansegmentation | 69.8 |
| Weinmannet.al(withlexicon) | 86.1 |
| Weinmannet.al(withoutlexicon) | 79.1 | | 0 |
| Algorithm | Wordrecognitionrate |
| --- | --- |
| Humansegmentation(Preprocessed) | 79.6 |
| Humansegmentation | 74.8 | | | Mishraet.al | 73.3 |
| --- | --- |
| Wanget.al | 56.0 |
| Abbyyreader | 47.7 | | 1 |
| Algorithm | Wordrecognitionrate |
| --- | --- |
| Humansegmentation(Preprocessed) | 79.6 |
| Humansegmentation | 74.8 | | | Humansegmentation | 69.8 |
| --- | --- |
| Weinmannet.al(withlexicon) | 86.1 |
| Weinmannet.al(withoutlexicon) | 79.1 | | 0 |
| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |
| --- | --- | --- | --- | --- | --- |
| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 | | | Mean | 64 | 128 | 256 | 512 | 512 |
| --- | --- | --- | --- | --- | --- |
| Max | 64 | 128 | 256 | 512 | 512 |
| Gram | 4096 | 16384 | 65536 | 262144 | 262114 | | 1 |
| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |
| --- | --- | --- | --- | --- | --- |
| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |
| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |
| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |
| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |
| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |
| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |
| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |
| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |
| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |
| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |
| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |
| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 | | 0 |
| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |
| --- | --- | --- | --- | --- | --- |
| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 | | | Mean | 64 | 128 | 256 | 512 | 512 |
| --- | --- | --- | --- | --- | --- |
| Max | 64 | 128 | 256 | 512 | 512 |
| Gram | 4096 | 16384 | 65536 | 262144 | 262114 | | 1 |
| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |
| --- | --- | --- | --- | --- | --- |
| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 | | | BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |
| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |
| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |
| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |
| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |
| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |
| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |
| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |
| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |
| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 | | 0 |
| DVPageSourceName | Posts | Comments | PageLikes |
| --- | --- | --- | --- |
| StopDV | 3597 | 13462 | 63k |
| DVSurvivors | 2816 | 8415 | 32k | | | StopDVagainstWomen | 516 | 2802 | 7.5k |
| --- | --- | --- | --- |
| DVAwarenessMonth | 1927 | 4194 | 15k | | 1 |
| DVPageSourceName | Posts | Comments | PageLikes |
| --- | --- | --- | --- |
| StopDV | 3597 | 13462 | 63k |
| DVSurvivors | 2816 | 8415 | 32k | | | Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |
| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |
| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |
| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |
| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |
| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 | | 0 |
| DVPageSourceName | Posts | Comments | PageLikes |
| --- | --- | --- | --- |
| StopDV | 3597 | 13462 | 63k | | | DVSurvivors | 2816 | 8415 | 32k |
| --- | --- | --- | --- |
| StopDVagainstWomen | 516 | 2802 | 7.5k |
| DVAwarenessMonth | 1927 | 4194 | 15k | | 1 |
| DVPageSourceName | Posts | Comments | PageLikes |
| --- | --- | --- | --- |
| StopDV | 3597 | 13462 | 63k | | | 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |
| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |
| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 | | 0 |
| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |
| --- | --- | --- | --- |
| idle,nofan,noethernet | 5.02 | 280 | 1.4 |
| idle,fan,noethernet | 5.02 | 360 | 1.8 |
| idle,nofan,ethernet | 5.02 | 322 | 1.6 |
| idle,fan,ethernet | 5.02 | 400 | 2.0 | | | fullCPUload,nofan,ethernet | 5.02 | 900 | 4.5 |
| --- | --- | --- | --- |
| fullCPUload,fan,ethernet | 5.02 | 970 | 4.9 | | 1 |
| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |
| --- | --- | --- | --- |
| idle,nofan,noethernet | 5.02 | 280 | 1.4 |
| idle,fan,noethernet | 5.02 | 360 | 1.8 |
| idle,nofan,ethernet | 5.02 | 322 | 1.6 |
| idle,fan,ethernet | 5.02 | 400 | 2.0 | | | Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |
| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |
| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |
| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |
| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |
| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |
| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |
| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |
| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 | | 0 |
| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |
| --- | --- | --- | --- |
| idle,nofan,noethernet | 5.02 | 280 | 1.4 |
| idle,fan,noethernet | 5.02 | 360 | 1.8 | | | idle,nofan,ethernet | 5.02 | 322 | 1.6 |
| --- | --- | --- | --- |
| idle,fan,ethernet | 5.02 | 400 | 2.0 |
| fullCPUload,nofan,ethernet | 5.02 | 900 | 4.5 |
| fullCPUload,fan,ethernet | 5.02 | 970 | 4.9 | | 1 |
| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |
| --- | --- | --- | --- |
| idle,nofan,noethernet | 5.02 | 280 | 1.4 |
| idle,fan,noethernet | 5.02 | 360 | 1.8 | | | APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |
| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |
| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 | | 0 |
| Distance | 0 | 1 | 2 | 3 | 4 |
| --- | --- | --- | --- | --- | --- |
| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |
| Distance | 5 | 6 | 7 | 8 | 9 | | | Numberofpoints | 16208 | 84428 | 395566 | 1622641 | 5536264 |
| --- | --- | --- | --- | --- | --- |
| Distance | 10 | 11 | 12 | 13 | 14 |
| Numberofpoints | 13587945 | 17558644 | 8100138 | 843444 | 27084 | | 1 |
| Distance | 0 | 1 | 2 | 3 | 4 |
| --- | --- | --- | --- | --- | --- |
| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |
| Distance | 5 | 6 | 7 | 8 | 9 | | | Distance(m) | Time(sec) |
| --- | --- |
| 0.0 | 0 |
| 4.9 | 1 |
| 19.6 | 2 |
| 44.1 | 3 |
| 78.5 | 4 |
| 122.6 | 5 |
| 176.5 | 6 |
| 240.3 | 7 |
| 313.8 | 8 |
| 397.2 | 9 |
| 490.3 | 10 |
| 593.3 | 11 |
| 706.1 | 12 |
| 828.7 | 13 |
| 961.1 | 14 |
| 1103.2 | 15 |
| 1255.3 | 16 |
| Etc | Etc | | 0 |
| Distance | 0 | 1 | 2 | 3 | 4 |
| --- | --- | --- | --- | --- | --- |
| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |
| Distance | 5 | 6 | 7 | 8 | 9 | | | Numberofpoints | 16208 | 84428 | 395566 | 1622641 | 5536264 |
| --- | --- | --- | --- | --- | --- |
| Distance | 10 | 11 | 12 | 13 | 14 |
| Numberofpoints | 13587945 | 17558644 | 8100138 | 843444 | 27084 | | 1 |
| Distance | 0 | 1 | 2 | 3 | 4 |
| --- | --- | --- | --- | --- | --- |
| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |
| Distance | 5 | 6 | 7 | 8 | 9 | | | 828.7 | 13 |
| --- | --- |
| 961.1 | 14 |
| 1103.2 | 15 |
| 1255.3 | 16 |
| Etc | Etc | | 0 |
| Size | LowerLimit(mm) | UpperLimit(mm) |
| --- | --- | --- |
| Small | 0 | 37 |
| Medium | 37 | 41 | | | Large | 41 | 45 |
| --- | --- | --- |
| TooLarge* | 45 | ∞ | | 1 |
| Size | LowerLimit(mm) | UpperLimit(mm) |
| --- | --- | --- |
| Small | 0 | 37 |
| Medium | 37 | 41 | | | Instancetype | Average | stdev | Min | Max | OnDemand |
| --- | --- | --- | --- | --- | --- |
| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |
| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |
| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |
| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 | | 0 |
| Size | LowerLimit(mm) | UpperLimit(mm) |
| --- | --- | --- |
| Small | 0 | 37 |
| Medium | 37 | 41 | | | Large | 41 | 45 |
| --- | --- | --- |
| TooLarge* | 45 | ∞ | | 1 |
| Size | LowerLimit(mm) | UpperLimit(mm) |
| --- | --- | --- |
| Small | 0 | 37 |
| Medium | 37 | 41 | | | m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |
| --- | --- | --- | --- | --- | --- |
| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 | | 0 |
| SUnSAL | SUnSAL-TV |
| --- | --- |
| 3.39s | 81.86s |
| 2.66s | 79.16s | | | 5.78s | 130.37s |
| --- | --- |
| 184.8s | 1145.8s | | 1 |
| SUnSAL | SUnSAL-TV |
| --- | --- |
| 3.39s | 81.86s |
| 2.66s | 79.16s | | | 72.46 | 72.29 |
| --- | --- |
| 71.7 | 71.28 |
| 60.76 | 54.27 |
| 57.29 | 49.37 |
| 57.98 | 47.01 |
| 64.13 | 57.63 | | 0 |
| SUnSAL | SUnSAL-TV |
| --- | --- |
| 3.39s | 81.86s |
| 2.66s | 79.16s | | | 5.78s | 130.37s |
| --- | --- |
| 184.8s | 1145.8s | | 1 |
| SUnSAL | SUnSAL-TV |
| --- | --- |
| 3.39s | 81.86s |
| 2.66s | 79.16s | | | 57.98 | 47.01 |
| --- | --- |
| 64.13 | 57.63 | | 0 |
| GPU | GTX1080 | TitanX |
| --- | --- | --- |
| ComputeCapability | 6.1 | 6.1 |
| GlobalMem(GB) | 8 | 10 |
| #ofSMs | 20 | 28 |
| CoreClock(MHz) | 1607 | 1417 | | | MemClock(MHz) | 5005 | 5005 |
| --- | --- | --- |
| MemBusWidth | 256 | 384 |
| L2Cache(KB) | 2048 | 3072 | | 1 |
| GPU | GTX1080 | TitanX |
| --- | --- | --- |
| ComputeCapability | 6.1 | 6.1 |
| GlobalMem(GB) | 8 | 10 |
| #ofSMs | 20 | 28 |
| CoreClock(MHz) | 1607 | 1417 | | | CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
| GPU | GTX1080 | TitanX |
| --- | --- | --- |
| ComputeCapability | 6.1 | 6.1 |
| GlobalMem(GB) | 8 | 10 |
| #ofSMs | 20 | 28 |
| CoreClock(MHz) | 1607 | 1417 | | | MemClock(MHz) | 5005 | 5005 |
| --- | --- | --- |
| MemBusWidth | 256 | 384 |
| L2Cache(KB) | 2048 | 3072 | | 1 |
| GPU | GTX1080 | TitanX |
| --- | --- | --- |
| ComputeCapability | 6.1 | 6.1 |
| GlobalMem(GB) | 8 | 10 |
| #ofSMs | 20 | 28 |
| CoreClock(MHz) | 1607 | 1417 | | | DRAMSize | 128GB |
| --- | --- |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
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