premise string | hypothesis string | label int64 |
|---|---|---|
| Graph | #Nodes | #Links | Diameter |
| --- | --- | --- | --- |
| PL1 | 10,000 | 29,990 | 7 |
| PL2 | 10,000 | 49,970 | 6 |
| PL3 | 10,000 | 99,872 | 5 |
| ER1 | 10,000 | 30,076 | 10 | | | ER2 | 10,000 | 50,424 | 7 |
| --- | --- | --- | --- |
| ER3 | 10,000 | 99,615 | 5 | | 1 |
| Graph | #Nodes | #Links | Diameter |
| --- | --- | --- | --- |
| PL1 | 10,000 | 29,990 | 7 |
| PL2 | 10,000 | 49,970 | 6 |
| PL3 | 10,000 | 99,872 | 5 |
| ER1 | 10,000 | 30,076 | 10 | | | Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |
| --- | --- | --- | --- |
| rmat20 | 1.05 | 8.26 | 1,1818177.40 |
| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |
| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |
| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 | | 0 |
| Graph | #Nodes | #Links | Diameter |
| --- | --- | --- | --- |
| PL1 | 10,000 | 29,990 | 7 |
| PL2 | 10,000 | 49,970 | 6 |
| PL3 | 10,000 | 99,872 | 5 |
| ER1 | 10,000 | 30,076 | 10 | | | ER2 | 10,000 | 50,424 | 7 |
| --- | --- | --- | --- |
| ER3 | 10,000 | 99,615 | 5 | | 1 |
| Graph | #Nodes | #Links | Diameter |
| --- | --- | --- | --- |
| PL1 | 10,000 | 29,990 | 7 |
| PL2 | 10,000 | 49,970 | 6 |
| PL3 | 10,000 | 99,872 | 5 |
| ER1 | 10,000 | 30,076 | 10 | | | road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |
| --- | --- | --- | --- |
| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |
| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 | | 0 |
| | | Time(ms) | #Points |
| --- | --- | --- | --- |
| Schneider | 10iter/pix | 2860 | 573 | | | Schneider | 1iter/pix | 380 | 590 |
| --- | --- | --- | --- |
| Schneider | 0.1iter/pix | 85 | 617 |
| Ourapproach | 1iter/pix | 14020 | 532 |
| Ourapproach | 0.1iter/pix | 1420 | 555 | | 1 |
| | | Time(ms) | #Points |
| --- | --- | --- | --- |
| Schneider | 10iter/pix | 2860 | 573 | | | | | Time(ms) | #Points |
| --- | --- | --- | --- |
| Schneider | 10iter/pix | 4110 | 904 |
| Schneider | 1iter/pix | 550 | 939 |
| Schneider | 0.1iter/pix | 115 | 983 |
| Ourapproach | 1iter/pix | 14735 | 663 |
| Ourapproach | 0.1iter/pix | 1483 | 744 | | 0 |
| | | Time(ms) | #Points |
| --- | --- | --- | --- |
| Schneider | 10iter/pix | 2860 | 573 |
| Schneider | 1iter/pix | 380 | 590 |
| Schneider | 0.1iter/pix | 85 | 617 | | | Ourapproach | 1iter/pix | 14020 | 532 |
| --- | --- | --- | --- |
| Ourapproach | 0.1iter/pix | 1420 | 555 | | 1 |
| | | Time(ms) | #Points |
| --- | --- | --- | --- |
| Schneider | 10iter/pix | 2860 | 573 |
| Schneider | 1iter/pix | 380 | 590 |
| Schneider | 0.1iter/pix | 85 | 617 | | | Schneider | 1iter/pix | 550 | 939 |
| --- | --- | --- | --- |
| Schneider | 0.1iter/pix | 115 | 983 |
| Ourapproach | 1iter/pix | 14735 | 663 |
| Ourapproach | 0.1iter/pix | 1483 | 744 | | 0 |
| Question | Europe | N.America | Asia | NA/Asiagap |
| --- | --- | --- | --- | --- |
| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |
| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |
| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 | | | RetailSalesperson | 18.8 | 20.2 | 10.0 | +10.2 |
| --- | --- | --- | --- | --- |
| AIResearcher | 80.0 | 123.6 | 109.0 | +14.6 | | 1 |
| Question | Europe | N.America | Asia | NA/Asiagap |
| --- | --- | --- | --- | --- |
| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |
| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |
| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 | | | Country | PowerDist. | Individualism | Masculinity |
| --- | --- | --- | --- |
| Chile | 63 | 23 | 28 |
| China | 80 | 20 | 66 |
| Germany | 35 | 67 | 66 |
| Greece | 60 | 35 | 57 |
| India | 77 | 48 | 56 |
| Italy | 50 | 76 | 70 |
| Norway | 31 | 69 | 8 |
| Pakistan | 55 | 14 | 50 |
| Russia | 93 | 39 | 36 |
| Spain | 57 | 51 | 42 |
| UK | 35 | 89 | 66 |
| USA | 40 | 91 | 62 | | 0 |
| Question | Europe | N.America | Asia | NA/Asiagap |
| --- | --- | --- | --- | --- |
| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |
| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |
| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 | | | RetailSalesperson | 18.8 | 20.2 | 10.0 | +10.2 |
| --- | --- | --- | --- | --- |
| AIResearcher | 80.0 | 123.6 | 109.0 | +14.6 | | 1 |
| Question | Europe | N.America | Asia | NA/Asiagap |
| --- | --- | --- | --- | --- |
| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |
| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |
| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 | | | Pakistan | 55 | 14 | 50 |
| --- | --- | --- | --- |
| Russia | 93 | 39 | 36 |
| Spain | 57 | 51 | 42 |
| UK | 35 | 89 | 66 |
| USA | 40 | 91 | 62 | | 0 |
| Problem | Input | Output |
| --- | --- | --- |
| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei | | | M-STR-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubstringi |
| --- | --- | --- |
| M-SEQ-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubsequencei |
| M-STR-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubstringi | | 1 |
| Problem | Input | Output |
| --- | --- | --- |
| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei | | | Problem | Input | Output |
| --- | --- | --- |
| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |
| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |
| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |
| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring | | 0 |
| Problem | Input | Output |
| --- | --- | --- |
| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei | | | M-STR-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubstringi |
| --- | --- | --- |
| M-SEQ-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubsequencei |
| M-STR-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubstringi | | 1 |
| Problem | Input | Output |
| --- | --- | --- |
| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei | | | SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |
| --- | --- | --- |
| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring | | 0 |
| CommonOperations | | | |
| --- | --- | --- | --- |
| | Mean | Min | Max |
| FeatureExtract | 8.7 | 1.56 | 12.03 |
| ParameterInit | 0.002 | 0.002 | 0.003 |
| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |
| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |
| TripleKeysGen | 0.002 | 0.002 | 0.003 |
| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |
| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |
| OperationsofPIC-sfv | | | |
| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 | | | KeyModification(perSIFT-Vec) | 0.052 | 0.048 | 0.063 |
| --- | --- | --- | --- |
| HomomorphicEuclideanDistance | 0.031 | 0.029 | 0.033 |
| OperationofPIC-wfv | | | |
| | Mean | Min | Max |
| Freq-VecGen | 0.70 | 0.005 | 3.84 |
| EncryptOneFreq-Vec | 1.93 | 1.59 | 2.67 |
| KeyModification(perFreq-Vec) | 0.29 | 0.25 | 0.85 |
| HomomorphicDotProduct | 0.20 | 0.18 | 0.33 | | 1 |
| CommonOperations | | | |
| --- | --- | --- | --- |
| | Mean | Min | Max |
| FeatureExtract | 8.7 | 1.56 | 12.03 |
| ParameterInit | 0.002 | 0.002 | 0.003 |
| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |
| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |
| TripleKeysGen | 0.002 | 0.002 | 0.003 |
| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |
| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |
| OperationsofPIC-sfv | | | |
| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 | | | CommonData | | | |
| --- | --- | --- | --- |
| | Mean | Min | Max |
| Key | 0.84 | 0.19 | 1.4 |
| AccessTree | 0.18 | 0.03 | 0.63 |
| EncryptedDistance | 0.56 | 0.41 | 0.65 |
| DataofPIC-sfv | | | |
| EncryptedSIFT-Vec | 64 | 62.8 | 65.1 |
| DataofPIC-wfv | | | |
| | Mean | Min | Max |
| EncryptedFreq-Vec | 580 | 578.9 | 581.2 | | 0 |
| CommonOperations | | | |
| --- | --- | --- | --- |
| | Mean | Min | Max |
| FeatureExtract | 8.7 | 1.56 | 12.03 |
| ParameterInit | 0.002 | 0.002 | 0.003 |
| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |
| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |
| TripleKeysGen | 0.002 | 0.002 | 0.003 |
| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |
| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 | | | OperationsofPIC-sfv | | | |
| --- | --- | --- | --- |
| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 |
| KeyModification(perSIFT-Vec) | 0.052 | 0.048 | 0.063 |
| HomomorphicEuclideanDistance | 0.031 | 0.029 | 0.033 |
| OperationofPIC-wfv | | | |
| | Mean | Min | Max |
| Freq-VecGen | 0.70 | 0.005 | 3.84 |
| EncryptOneFreq-Vec | 1.93 | 1.59 | 2.67 |
| KeyModification(perFreq-Vec) | 0.29 | 0.25 | 0.85 |
| HomomorphicDotProduct | 0.20 | 0.18 | 0.33 | | 1 |
| CommonOperations | | | |
| --- | --- | --- | --- |
| | Mean | Min | Max |
| FeatureExtract | 8.7 | 1.56 | 12.03 |
| ParameterInit | 0.002 | 0.002 | 0.003 |
| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |
| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |
| TripleKeysGen | 0.002 | 0.002 | 0.003 |
| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |
| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 | | | DataofPIC-wfv | | | |
| --- | --- | --- | --- |
| | Mean | Min | Max |
| EncryptedFreq-Vec | 580 | 578.9 | 581.2 | | 0 |
| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |
| --- | --- | --- | --- | --- | --- | --- | --- |
| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |
| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |
| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) | | | t1,7 | (60,75,75) | t1,8 | (59,76,76) | t1,9 | (58,77,77) | t1,10 | (57,78,78) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| t1,11 | (56,79,79) | t1,12 | (55,80,80) | t1,13 | (54,81,81) | t1,14 | (53,82,82) |
| t1,15 | (52,82,82) | f1,1 | (65,67,67) | f1,2 | (64,68,68) | f1,3 | (63,69,69) |
| f1,4 | (62,70,70) | f1,5 | (61,71,71) | f1,6 | (60,72,72) | f1,7 | (59,73,73) |
| f1,8 | (58,74,74) | f1,9 | (57,75,75) | f1,10 | (56,76,76) | f1,11 | (55,77,77) |
| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |
| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |
| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |
| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |
| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |
| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |
| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |
| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |
| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |
| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |
| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |
| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |
| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |
| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |
| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |
| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) | | 1 |
| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |
| --- | --- | --- | --- | --- | --- | --- | --- |
| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |
| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |
| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) | | | v | ρ(v) | d | v | ρ(v) | d |
| --- | --- | --- | --- | --- | --- |
| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |
| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |
| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |
| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |
| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |
| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |
| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |
| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |
| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |
| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |
| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |
| t1,0 | (−0.15,−1.11) | (2,4,3) | | | | | 0 |
| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |
| --- | --- | --- | --- | --- | --- | --- | --- |
| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) | | | c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) |
| t1,7 | (60,75,75) | t1,8 | (59,76,76) | t1,9 | (58,77,77) | t1,10 | (57,78,78) |
| t1,11 | (56,79,79) | t1,12 | (55,80,80) | t1,13 | (54,81,81) | t1,14 | (53,82,82) |
| t1,15 | (52,82,82) | f1,1 | (65,67,67) | f1,2 | (64,68,68) | f1,3 | (63,69,69) |
| f1,4 | (62,70,70) | f1,5 | (61,71,71) | f1,6 | (60,72,72) | f1,7 | (59,73,73) |
| f1,8 | (58,74,74) | f1,9 | (57,75,75) | f1,10 | (56,76,76) | f1,11 | (55,77,77) |
| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |
| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |
| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |
| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |
| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |
| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |
| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |
| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |
| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |
| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |
| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |
| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |
| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |
| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |
| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |
| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) | | 1 |
| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |
| --- | --- | --- | --- | --- | --- | --- | --- |
| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) | | | b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |
| --- | --- | --- | --- | --- | --- |
| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |
| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |
| t1,0 | (−0.15,−1.11) | (2,4,3) | | | | | 0 |
| | DistanceResults | TimeResults | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |
| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |
| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 |
| brownrathuman | 1083 | 17858 | 17900 | 3725.76 | 12.14 | 12.19 |
| brownratmouse | 790 | 15433 | 15445 | 3725.66 | 14.51 | 15.06 | | | chickengorilla | 1491 | 16379 | 16421 | 3725.62 | 7.54 | 7.57 |
| --- | --- | --- | --- | --- | --- | --- |
| chickenhuman | 1521 | 16231 | 16276 | 3725.65 | 7.74 | 7.47 |
| chickenmouse | 1528 | 15712 | 15745 | 3726.03 | 9.82 | 8.16 |
| gorillahuman | 486 | 17798 | 17798 | 3607.63 | 13.94 | 13.81 |
| gorillamouse | 860 | 18914 | 18935 | 4816.31 | 12.60 | 12.13 |
| humanmouse | 749 | 18126 | 18144 | 94.64 | 12.45 | 12.61 | | 1 |
| | DistanceResults | TimeResults | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |
| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |
| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 |
| brownrathuman | 1083 | 17858 | 17900 | 3725.76 | 12.14 | 12.19 |
| brownratmouse | 790 | 15433 | 15445 | 3725.66 | 14.51 | 15.06 | | | name | \|V\| | \|E\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |
| --- | --- | --- | --- | --- | --- | --- |
| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |
| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |
| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |
| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |
| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |
| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |
| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |
| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |
| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 | | 0 |
| | DistanceResults | TimeResults | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |
| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |
| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 | | | brownrathuman | 1083 | 17858 | 17900 | 3725.76 | 12.14 | 12.19 |
| --- | --- | --- | --- | --- | --- | --- |
| brownratmouse | 790 | 15433 | 15445 | 3725.66 | 14.51 | 15.06 |
| chickengorilla | 1491 | 16379 | 16421 | 3725.62 | 7.54 | 7.57 |
| chickenhuman | 1521 | 16231 | 16276 | 3725.65 | 7.74 | 7.47 |
| chickenmouse | 1528 | 15712 | 15745 | 3726.03 | 9.82 | 8.16 |
| gorillahuman | 486 | 17798 | 17798 | 3607.63 | 13.94 | 13.81 |
| gorillamouse | 860 | 18914 | 18935 | 4816.31 | 12.60 | 12.13 |
| humanmouse | 749 | 18126 | 18144 | 94.64 | 12.45 | 12.61 | | 1 |
| | DistanceResults | TimeResults | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |
| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |
| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 | | | ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |
| --- | --- | --- | --- | --- | --- | --- |
| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 | | 0 |
| Strategy | RMSE±STD | CPUTime | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | - | 282.42 | 188 | - | | | GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |
| --- | --- | --- | --- | --- |
| M=5,µ=0.25,σ=0.09630 | | | | |
| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |
| M=10,µ=0.1111,σ=0.04890 | | | | |
| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |
| M=20,µ=0.0526,σ=0.02600 | | | | |
| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 |
| M=30,µ=0.0345,σ=0.01780 | | | | |
| CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 | | 1 |
| Strategy | RMSE±STD | CPUTime | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | - | 282.42 | 188 | - | | | Strategy | RMSE±STD | CPUTime | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | - | 1740.47 | 103 | - |
| GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |
| M=5,µ=0.25,σ=0.24920 | | | | |
| CCBS<br>GCBS | 0.0659±0.0037<br>0.0650±0.0036 | 513.21<br>533.48 | 6<br>6 | 0.2499<br>0.2499 |
| M=10,µ=0.1111,σ=0.10170 | | | | |
| CCBS<br>GCBS | 0.0435±0.0016<br>0.0500±0.0023 | 495.13<br>497.92 | 12<br>12 | 0.1024<br>0.1019 |
| M=20,µ=0.0526,σ=0.05030 | | | | |
| CCBS<br>GCBS | 0.0301±0.0008<br>0.0309±0.0009 | 488.67<br>488.66 | 21<br>21 | 0.0433<br>0.0472 |
| M=30,µ=0.0345,σ=0.03360 | | | | |
| CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 | | 0 |
| Strategy | RMSE±STD | CPUTime | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | - | 282.42 | 188 | - |
| GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |
| M=5,µ=0.25,σ=0.09630 | | | | |
| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |
| M=10,µ=0.1111,σ=0.04890 | | | | |
| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |
| M=20,µ=0.0526,σ=0.02600 | | | | |
| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 | | | M=30,µ=0.0345,σ=0.01780 | | | | |
| --- | --- | --- | --- | --- |
| CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 | | 1 |
| Strategy | RMSE±STD | CPUTime | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | - | 282.42 | 188 | - |
| GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |
| M=5,µ=0.25,σ=0.09630 | | | | |
| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |
| M=10,µ=0.1111,σ=0.04890 | | | | |
| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |
| M=20,µ=0.0526,σ=0.02600 | | | | |
| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 | | | M=30,µ=0.0345,σ=0.03360 | | | | |
| --- | --- | --- | --- | --- |
| CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 | | 0 |
| 0 | - | - | - | - | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | | | 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |
| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |
| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |
| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 | | 1 |
| 0 | - | - | - | - | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | | | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |
| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 | | 0 |
| 0 | - | - | - | - | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |
| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 | | | 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |
| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 | | 1 |
| 0 | - | - | - | - | - | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |
| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 | | | 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |
| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 | | 0 |
| Dim | 300 | 400 | 500 | 600 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |
| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |
| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |
| Dim | 700 | 800 | 900 | 1000 | | | | |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 | | | esslli | 54.55 | 54.55 | 68.18 | 56.82 | 72.73 | 72.73 | 52.27 | 52.27 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| battig | 62.96 | 66.67 | 67.9 | 69.14 | 49.38 | 59.26 | 51.85 | 46.91 | | 1 |
| Dim | 300 | 400 | 500 | 600 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |
| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |
| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |
| Dim | 700 | 800 | 900 | 1000 | | | | |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 | | | Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |
| --- | --- | --- | --- | --- | --- |
| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |
| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |
| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |
| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |
| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |
| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |
| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |
| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |
| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |
| tot. | 345000 | 367970 | 356340 | 364390 | 358425 | | 0 |
| Dim | 300 | 400 | 500 | 600 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |
| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |
| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |
| Dim | 700 | 800 | 900 | 1000 | | | | |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 | | | esslli | 54.55 | 54.55 | 68.18 | 56.82 | 72.73 | 72.73 | 52.27 | 52.27 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| battig | 62.96 | 66.67 | 67.9 | 69.14 | 49.38 | 59.26 | 51.85 | 46.91 | | 1 |
| Dim | 300 | 400 | 500 | 600 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |
| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |
| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |
| Dim | 700 | 800 | 900 | 1000 | | | | |
| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. | |
| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 | | | 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |
| --- | --- | --- | --- | --- | --- |
| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |
| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |
| tot. | 345000 | 367970 | 356340 | 364390 | 358425 | | 0 |
| Multi-streamattentiveprocessing | Patchylandscapeforaging |
| --- | --- |
| Observer | Forager |
| Observer’sgazeshift | Forager’srelocation |
| Videostream | Patch |
| Proto-object | Candidateprey |
| Detectedobject | Prey |
| Streamselection | Patchchoice | | | Deployingattentiontoobject | Preychoiceandhandling |
| --- | --- |
| Disengagingfromobject | Preyleave |
| Streamleave | Patchleaveorgiving-up | | 1 |
| Multi-streamattentiveprocessing | Patchylandscapeforaging |
| --- | --- |
| Observer | Forager |
| Observer’sgazeshift | Forager’srelocation |
| Videostream | Patch |
| Proto-object | Candidateprey |
| Detectedobject | Prey |
| Streamselection | Patchchoice | | | supervision | task |
| --- | --- |
| unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd. | detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection |
| spvd.<br>spvd. | detection<br>detection |
| spvd. | existence |
| localization | |
| spvd. | existence |
| counting | |
| weaklyspvd. | detection |
| spvd.+latent | existence | | 0 |
| Multi-streamattentiveprocessing | Patchylandscapeforaging |
| --- | --- |
| Observer | Forager |
| Observer’sgazeshift | Forager’srelocation |
| Videostream | Patch |
| Proto-object | Candidateprey | | | Detectedobject | Prey |
| --- | --- |
| Streamselection | Patchchoice |
| Deployingattentiontoobject | Preychoiceandhandling |
| Disengagingfromobject | Preyleave |
| Streamleave | Patchleaveorgiving-up | | 1 |
| Multi-streamattentiveprocessing | Patchylandscapeforaging |
| --- | --- |
| Observer | Forager |
| Observer’sgazeshift | Forager’srelocation |
| Videostream | Patch |
| Proto-object | Candidateprey | | | weaklyspvd. | detection |
| --- | --- |
| spvd.+latent | existence | | 0 |
| | Count |
| --- | --- |
| Writers | 1001(M:561,F:440) | | | Pages | 4512 |
| --- | --- |
| Avg.Pages/Writer | 4 |
| Lines | 31124 |
| SegmentedWords | 152680 |
| SegmentedCharacters | 106433 |
| PAWs | 325508 | | 1 |
| | Count |
| --- | --- |
| Writers | 1001(M:561,F:440) | | | Set | Files | Words | Characters | Writers |
| --- | --- | --- | --- | --- |
| 1 | 5037 | 7670 | 40500 | 56 |
| 2 | 5090 | 7851 | 41515 | 37 |
| 3 | 5031 | 7730 | 40544 | 39 |
| 4 | 4417 | 6671 | 35253 | 41 | | 0 |
| | Count |
| --- | --- |
| Writers | 1001(M:561,F:440) | | | Pages | 4512 |
| --- | --- |
| Avg.Pages/Writer | 4 |
| Lines | 31124 |
| SegmentedWords | 152680 |
| SegmentedCharacters | 106433 |
| PAWs | 325508 | | 1 |
| | Count |
| --- | --- |
| Writers | 1001(M:561,F:440) | | | 3 | 5031 | 7730 | 40544 | 39 |
| --- | --- | --- | --- | --- |
| 4 | 4417 | 6671 | 35253 | 41 | | 0 |
| TestCases | \|V\| | +<br>\|V\|− | T(M)DD | T(M)II | Rel.Err. |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |
| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 |
| | | | | | |
| | | | | | |
| | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | | | 1 |
| TestCases | \|V\| | +<br>\|V\|− | T(M)DD | T(M)II | Rel.Err. |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |
| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 |
| | | | | | |
| | | | | | |
| | | | | | | | | Graphs | \|V\| | \|E\| | 50<br>\|V\| | N50 | T50 | 200<br>\|V\| | N200 | T200 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |
| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |
| | | | | | | | | |
| | | | | | | | | | | 0 |
| TestCases | \|V\| | +<br>\|V\|− | T(M)DD | T(M)II | Rel.Err. |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |
| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 | | | | | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| | | | | | |
| | | | | | |
| | | | | | | | 1 |
| TestCases | \|V\| | +<br>\|V\|− | T(M)DD | T(M)II | Rel.Err. |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |
| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | 0 |
| Candidate | Numberofapprovals |
| --- | --- |
| A1 | 300+250+150=700 | | | A2 | 300+40+60=400 |
| --- | --- |
| B1 | 250+40+200=490 |
| B2 | 150+60+200=410 | | 1 |
| Candidate | Numberofapprovals |
| --- | --- |
| A1 | 300+250+150=700 | | | NumberofApps | NumberofHLI |
| --- | --- |
| 176 | [1,49) |
| 13 | [49,97) |
| 2 | [97,145) |
| 0 | [145,193) |
| 3 | [193,241) | | 0 |
| Candidate | Numberofapprovals |
| --- | --- |
| A1 | 300+250+150=700 |
| A2 | 300+40+60=400 | | | B1 | 250+40+200=490 |
| --- | --- |
| B2 | 150+60+200=410 | | 1 |
| Candidate | Numberofapprovals |
| --- | --- |
| A1 | 300+250+150=700 |
| A2 | 300+40+60=400 | | | 2 | [97,145) |
| --- | --- |
| 0 | [145,193) |
| 3 | [193,241) | | 0 |
| Input32×32RGBimage |
| --- |
| 5×5conv.64RELU<br>2×2max-poolingstride2 |
| 5×5conv.128RELU<br>2×2max-poolingstride2 |
| 3×3conv.256RELU<br>2×2avg-poolingstride2 | | | 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |
| --- |
| 1×1conv.10(fullyconnected) |
| 10-waysoftmax | | 1 |
| Input32×32RGBimage |
| --- |
| 5×5conv.64RELU<br>2×2max-poolingstride2 |
| 5×5conv.128RELU<br>2×2max-poolingstride2 |
| 3×3conv.256RELU<br>2×2avg-poolingstride2 | | | SVHN→MNIST |
| --- |
| Input:32×32RGBimage |
| Generator |
| Conv5×5×64,stride1,pad0<br>Conv5×5×64,stride1,pad0<br>Conv3×3×128,stride2,pad0<br>Conv3×3×128,stride2,pad0<br>Fullyconnected3200×100<br>Fullyconnected100×100 |
| Classifier |
| Fullyconnected100×6 | | 0 |
| Input32×32RGBimage |
| --- |
| 5×5conv.64RELU<br>2×2max-poolingstride2 |
| 5×5conv.128RELU<br>2×2max-poolingstride2 | | | 3×3conv.256RELU<br>2×2avg-poolingstride2 |
| --- |
| 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |
| 1×1conv.10(fullyconnected) |
| 10-waysoftmax | | 1 |
| Input32×32RGBimage |
| --- |
| 5×5conv.64RELU<br>2×2max-poolingstride2 |
| 5×5conv.128RELU<br>2×2max-poolingstride2 | | | Classifier |
| --- |
| Fullyconnected100×6 | | 0 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {12} | {12} | {12} | {12} | | | 2 | {3,12} | {3,12} | {3,12} | {3,12} |
| --- | --- | --- | --- | --- |
| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |
| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} | | 1 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {12} | {12} | {12} | {12} | | | n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {12} | {12} | {12} | {12} |
| 2 | {3,12} | {3,12} | {3,12} | {3,12} |
| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |
| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} | | 0 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {12} | {12} | {12} | {12} |
| 2 | {3,12} | {3,12} | {3,12} | {3,12} | | | 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |
| --- | --- | --- | --- | --- |
| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} | | 1 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {12} | {12} | {12} | {12} |
| 2 | {3,12} | {3,12} | {3,12} | {3,12} | | | 2 | {3,12} | {3,12} | {3,12} | {3,12} |
| --- | --- | --- | --- | --- |
| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |
| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} | | 0 |
| F | 0.4618 |
| --- | --- |
| df | 299 |
| dfdenominator | 299 |
| Pvalue | 4.26510 | | | Confidenceinterval | 0.3679506a0.5795227 |
| --- | --- |
| Variancerates | 0.4617745 | | 1 |
| F | 0.4618 |
| --- | --- |
| df | 299 |
| dfdenominator | 299 |
| Pvalue | 4.26510 | | | F-measure |
| --- |
| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |
| 0.369<br>0.418 |
| 0.343<br>0.354<br>0.386 |
| 0.443 | | 0 |
| F | 0.4618 |
| --- | --- |
| df | 299 |
| dfdenominator | 299 |
| Pvalue | 4.26510 | | | Confidenceinterval | 0.3679506a0.5795227 |
| --- | --- |
| Variancerates | 0.4617745 | | 1 |
| F | 0.4618 |
| --- | --- |
| df | 299 |
| dfdenominator | 299 |
| Pvalue | 4.26510 | | | 0.343<br>0.354<br>0.386 |
| --- |
| 0.443 | | 0 |
| | | | |
| --- | --- | --- | --- |
| YouTube | 1729 | 9 | 1721 | | | Facebook | 903 | 1 | 903 |
| --- | --- | --- | --- |
| LiveJournal | 7011 | 16 | 6978 |
| Orkut | 10824 | 13 | 10812 |
| Flickr | 4778 | 1 | 4778 |
| AuthorCitations | 1110 | 1 | 1110 |
| Wikipedia | 6039 | 2 | 6038 |
| AS | 274 | 4 | 271 |
| ER | 3158 | 2888 | 3 |
| BA | 3158 | 1 | 3158 |
| Affiliation | 5665 | 1 | 5665 | | 1 |
| | | | |
| --- | --- | --- | --- |
| YouTube | 1729 | 9 | 1721 | | | Numberofwords | | | |
| --- | --- | --- | --- |
| 1Quartile | 2Quartile(Median) | 3Quartile | |
| Stanford | 5 | 15 | 18,5 |
| Yelp | 15,5 | 36 | 67,6 |
| Debate | 12 | 15,5 | 18 |
| ReviewsI | 19 | 13 | 32,5 |
| TwitterI | 14 | 20 | 23,5 |
| Myspace | 12 | 18 | 17 |
| Youtube | 6 | 11 | 26 |
| Digg | 5,5 | 15 | 19 |
| RW | 20 | 27 | 104 |
| BBC | 14 | 68 | 17 |
| Amazon | 14 | 10 | 4 |
| NYT | 18 | 8 | 6 |
| TweetsII | 8 | 10 | 15 |
| ReviewsII | 20 | 11 | 10 |
| Tricky | 10 | 12 | 11 | | 0 |
| | | | |
| --- | --- | --- | --- |
| YouTube | 1729 | 9 | 1721 |
| Facebook | 903 | 1 | 903 | | | LiveJournal | 7011 | 16 | 6978 |
| --- | --- | --- | --- |
| Orkut | 10824 | 13 | 10812 |
| Flickr | 4778 | 1 | 4778 |
| AuthorCitations | 1110 | 1 | 1110 |
| Wikipedia | 6039 | 2 | 6038 |
| AS | 274 | 4 | 271 |
| ER | 3158 | 2888 | 3 |
| BA | 3158 | 1 | 3158 |
| Affiliation | 5665 | 1 | 5665 | | 1 |
| | | | |
| --- | --- | --- | --- |
| YouTube | 1729 | 9 | 1721 |
| Facebook | 903 | 1 | 903 | | | Youtube | 6 | 11 | 26 |
| --- | --- | --- | --- |
| Digg | 5,5 | 15 | 19 |
| RW | 20 | 27 | 104 |
| BBC | 14 | 68 | 17 |
| Amazon | 14 | 10 | 4 |
| NYT | 18 | 8 | 6 |
| TweetsII | 8 | 10 | 15 |
| ReviewsII | 20 | 11 | 10 |
| Tricky | 10 | 12 | 11 | | 0 |
| | Method | BBBIIIIII | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | | |
| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 | | | Peak[kW]<br>reduction | DQN<br>DPG | 3.12<br>2.97 | 1.51<br>1.46 | 3.48<br>2.69 | 2.13<br>1.14 | 3.62<br>3.17 | 1.34<br>1.29 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Cost[$/day] | - | 2.31 | 3.09 | 1.93 | 2.23 | 3.13 | 3.85 |
| Minimized<br>cost[$/day] | DQN<br>DPG | 2.19<br>2.08 | 3.01<br>2.78 | 1.91<br>1.79 | 2.18<br>2.06 | 2.85<br>2.73 | 3.62<br>3.38 | | 1 |
| | Method | BBBIIIIII | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | | |
| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 | | | | Method | Numberofbuildings<br>102048 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | | |
| Peak[kW] | - | 59.79 | 6.12 | 124.72 | 10.28 | 281.88 | 14.32 |
| Peak[kW]<br>reduction | DQN<br>DPG | 54.85<br>44.91 | 5.93<br>4.80 | 116.72<br>92.41 | 9.24<br>7.74 | 254.67<br>207.73 | 13.21<br>11.48 |
| Cost[$/day] | - | 57.79 | 20.90 | 118.03 | 30.01 | 231.27 | 38.76 |
| Minimized<br>cost[$/day] | DQN<br>DPG | 47.71<br>44.35 | 17.83<br>16.01 | 93.68<br>82.71 | 24.18<br>21.48 | 198.51<br>167.70 | 32.67<br>28.62 | | 0 |
| | Method | BBBIIIIII | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | | |
| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 | | | Peak[kW]<br>reduction | DQN<br>DPG | 3.12<br>2.97 | 1.51<br>1.46 | 3.48<br>2.69 | 2.13<br>1.14 | 3.62<br>3.17 | 1.34<br>1.29 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Cost[$/day] | - | 2.31 | 3.09 | 1.93 | 2.23 | 3.13 | 3.85 |
| Minimized<br>cost[$/day] | DQN<br>DPG | 2.19<br>2.08 | 3.01<br>2.78 | 1.91<br>1.79 | 2.18<br>2.06 | 2.85<br>2.73 | 3.62<br>3.38 | | 1 |
| | Method | BBBIIIIII | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | | |
| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 | | | Cost[$/day] | - | 57.79 | 20.90 | 118.03 | 30.01 | 231.27 | 38.76 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Minimized<br>cost[$/day] | DQN<br>DPG | 47.71<br>44.35 | 17.83<br>16.01 | 93.68<br>82.71 | 24.18<br>21.48 | 198.51<br>167.70 | 32.67<br>28.62 | | 0 |
| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 | | | 20 | Mean<br>Min<br>Max |
| --- | --- |
| 24 | Mean<br>Min<br>Max |
| 28 | Mean<br>Min<br>Max | | 1 |
| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 | | | nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |
| 20 | Mean<br>Min<br>Max | | | | | | | |
| 24 | Mean<br>Min<br>Max | | | | | | | |
| 28 | Mean<br>Min<br>Max | | | | | | | | | 0 |
| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |
| 20 | Mean<br>Min<br>Max | | | | | | | | | | 24 | Mean<br>Min<br>Max |
| --- | --- |
| 28 | Mean<br>Min<br>Max | | 1 |
| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |
| 20 | Mean<br>Min<br>Max | | | | | | | | | | 24 | Mean<br>Min<br>Max |
| --- | --- |
| 28 | Mean<br>Min<br>Max | | 0 |
| IoUscoresofcompetingmethods | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video<br>samples | | | | | | Propose |
| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |
| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 | | | Doll | 0.139 | 0.926 | 0.819 | 0.350 | 0.078 | 0.933 |
| --- | --- | --- | --- | --- | --- | --- |
| Baby | 0.116 | 0.671 | 0.007 | 0.360 | 0.222 | 0.847 |
| Skating1 | 0.033 | 0.248 | 0.318 | 0.627 | 0.523 | 0.713 |
| Climb1 | 0.54 | 0.764 | 0.03 | 0.844 | 0.476 | 0.810 |
| Drone2 | 0.487 | 0.436 | 0.549 | 0.325 | 0.348 | 0.588 |
| Train | 0.211 | 0.37 | 0.535 | 0.837 | 0.831 | 0.850 |
| Cycling1 | 0.558 | 0.359 | 0.610 | 0.462 | 0.342 | 0.613 |
| Staircase2 | 0.875 | 0.889 | 0.801 | 0.001 | 0.103 | 0.901 |
| Average* | 0.425 | 0.431 | 0.392 | 0.529 | 0.421 | 0.723 |
| Single<br>object? | Y | Y | N | N | Y | Y | | 1 |
| IoUscoresofcompetingmethods | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video<br>samples | | | | | | Propose |
| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |
| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 | | | | Activities | Units | Segments | Clips | Duration | Setting | Persons |
| --- | --- | --- | --- | --- | --- | --- | --- |
| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |
| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |
| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |
| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |
| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |
| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |
| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |
| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |
| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 | | 0 |
| IoUscoresofcompetingmethods | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video<br>samples | | | | | | Propose |
| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |
| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 |
| Doll | 0.139 | 0.926 | 0.819 | 0.350 | 0.078 | 0.933 |
| Baby | 0.116 | 0.671 | 0.007 | 0.360 | 0.222 | 0.847 |
| Skating1 | 0.033 | 0.248 | 0.318 | 0.627 | 0.523 | 0.713 |
| Climb1 | 0.54 | 0.764 | 0.03 | 0.844 | 0.476 | 0.810 |
| Drone2 | 0.487 | 0.436 | 0.549 | 0.325 | 0.348 | 0.588 |
| Train | 0.211 | 0.37 | 0.535 | 0.837 | 0.831 | 0.850 |
| Cycling1 | 0.558 | 0.359 | 0.610 | 0.462 | 0.342 | 0.613 |
| Staircase2 | 0.875 | 0.889 | 0.801 | 0.001 | 0.103 | 0.901 | | | Average* | 0.425 | 0.431 | 0.392 | 0.529 | 0.421 | 0.723 |
| --- | --- | --- | --- | --- | --- | --- |
| Single<br>object? | Y | Y | N | N | Y | Y | | 1 |
| IoUscoresofcompetingmethods | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video<br>samples | | | | | | Propose |
| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |
| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 |
| Doll | 0.139 | 0.926 | 0.819 | 0.350 | 0.078 | 0.933 |
| Baby | 0.116 | 0.671 | 0.007 | 0.360 | 0.222 | 0.847 |
| Skating1 | 0.033 | 0.248 | 0.318 | 0.627 | 0.523 | 0.713 |
| Climb1 | 0.54 | 0.764 | 0.03 | 0.844 | 0.476 | 0.810 |
| Drone2 | 0.487 | 0.436 | 0.549 | 0.325 | 0.348 | 0.588 |
| Train | 0.211 | 0.37 | 0.535 | 0.837 | 0.831 | 0.850 |
| Cycling1 | 0.558 | 0.359 | 0.610 | 0.462 | 0.342 | 0.613 |
| Staircase2 | 0.875 | 0.889 | 0.801 | 0.001 | 0.103 | 0.901 | | | MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |
| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |
| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 | | 0 |
| Item | Configuration |
| --- | --- |
| IssueWidth | 5 |
| CommitWidth | 4 |
| ROBSize | 128 |
| ALUUnits | 6 |
| FPUUnits | 6 |
| LoadUnits | 1 | | | StoreUnits | 1 |
| --- | --- |
| LoadQueueSize | 48 |
| StoreQueueSize | 32 | | 1 |
| Item | Configuration |
| --- | --- |
| IssueWidth | 5 |
| CommitWidth | 4 |
| ROBSize | 128 |
| ALUUnits | 6 |
| FPUUnits | 6 |
| LoadUnits | 1 | | | FileSize(MB) | No.OfAttackers | TrafficVol. |
| --- | --- | --- |
| 10 | 100 | 0.22GB |
| 50 | 500 | 0.67GB |
| 100 | 1500 | 1.67GB |
| 200 | 2000 | 3.23GB |
| 400 | 4000 | 5.91GB |
| 600 | 6000 | 9.14GB |
| 800 | 8000 | 12.37GB |
| 1000 | 10,000 | 15.83GB | | 0 |
| Item | Configuration |
| --- | --- |
| IssueWidth | 5 | | | CommitWidth | 4 |
| --- | --- |
| ROBSize | 128 |
| ALUUnits | 6 |
| FPUUnits | 6 |
| LoadUnits | 1 |
| StoreUnits | 1 |
| LoadQueueSize | 48 |
| StoreQueueSize | 32 | | 1 |
| Item | Configuration |
| --- | --- |
| IssueWidth | 5 | | | 600 | 6000 | 9.14GB |
| --- | --- | --- |
| 800 | 8000 | 12.37GB |
| 1000 | 10,000 | 15.83GB | | 0 |
| 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 | | 1 |
| Dataset | κ | Choiceofq | criterioncheck |
| --- | --- | --- | --- |
| Stereo | 0.8 | uniform | approximate |
| Inpainting | 0.7 | uniform | approximate | | | TestInput | OurR-DML | B-DML | Supervisiontransfer |
| --- | --- | --- | --- |
| Total | 34.72 | 29.13 | 21.35 |
| RGB+depth | 40.43 | 36.31 | 26.68 |
| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |
| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |
| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |
| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |
| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |
| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 | | 0 |
| 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 | | 1 |
| Dataset | κ | Choiceofq | criterioncheck |
| --- | --- | --- | --- |
| Stereo | 0.8 | uniform | approximate |
| Inpainting | 0.7 | uniform | approximate | | | RGB+depth(blank) | 32.69 | 12.03 | 22.25 |
| --- | --- | --- | --- |
| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |
| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |
| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |
| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 | | 0 |
| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |
| --- | --- | --- | --- | --- | --- |
| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 | | | Filternumber | 24 | 24 | 24 | 24 | 2 |
| --- | --- | --- | --- | --- | --- |
| Stride | 1 | 1 | 1 | 1 | 1 |
| Function | PReLU | PReLU | PReLU | PReLU | Tanh | | 1 |
| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |
| --- | --- | --- | --- | --- | --- |
| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 | | | Layer | LayerType | Size | OutputShape |
| --- | --- | --- | --- |
| 1 | Convolution+Maxout | 488×8filters | |
| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |
| 2 | Convolution+Maxout | 488×8filters | |
| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |
| 3 | Convolution+Maxout | 245×5filters | |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |
| --- | --- | --- | --- | --- | --- |
| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 | | | Filternumber | 24 | 24 | 24 | 24 | 2 |
| --- | --- | --- | --- | --- | --- |
| Stride | 1 | 1 | 1 | 1 | 1 |
| Function | PReLU | PReLU | PReLU | PReLU | Tanh | | 1 |
| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |
| --- | --- | --- | --- | --- | --- |
| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 | | | 3 | Convolution+Maxout | 245×5filters | |
| --- | --- | --- | --- |
| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |
| 4 | Softmax | 121way | 121 | | 0 |
| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |
| --- | --- | --- | --- | --- | --- |
| March | qaiserthethia<br>alirazatweets<br>xaifooofficial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |
| April | ptiofficial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 | | | May | khaleejmag<br>diyarahman99<br>maryamnsharif | 347<br>176<br>59 | 1<br>1<br>0 | 1313558.254<br>608312.772<br>551766.163 | 1<br>3<br>4 |
| --- | --- | --- | --- | --- | --- |
| June | dunyanews<br>imrankhanpti<br>ptiofficial | 290<br>105<br>80 | 17<br>0<br>1 | 836335.327<br>288851.658<br>213124.288 | 2<br>4<br>6 |
| July | imrankhanpti<br>dunyanews<br>defencepk | 181<br>122<br>111 | 0<br>15<br>1 | 800178.225<br>705731.185<br>601869.039 | 2<br>4<br>5 |
| August | shehzadind<br>yadavtejashwi | 721<br>622 | 2<br>0 | 328635.667<br>194985.667 | 1<br>2 | | 1 |
| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |
| --- | --- | --- | --- | --- | --- |
| March | qaiserthethia<br>alirazatweets<br>xaifooofficial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |
| April | ptiofficial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 | | | R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |
| --- | --- | --- | --- |
| 1 | cordsmile | 0.0899021679 | 0.06 |
| 5 | autographshore | 0.0742552483 | 0.11 |
| 9 | asylumfruit | 0.0720444643 | 0.07 |
| 12 | boyrooster | 0.0907164485 | 0.16 |
| 17 | coastforest | 0.1106378337 | 0.26 |
| 21 | boysage | 0.2017739882 | 0.16 |
| 25 | forestgraveyard | 0.2015952767 | 0.33 |
| 29 | birdwoodland | 0.1651985693 | 0.12 |
| 33 | hillwoodland | 0.2918421392 | 0.29 |
| 37 | magicianoracle | 0.3057403627 | 0.2 |
| 41 | oraclesage | 0.5279307332 | 0.09 |
| 47 | furnacestove | 0.1651985693 | 0.3 |
| 48 | magicianwizard | 0.9985079423 | 0.34 |
| 49 | hillmound | 0.8148010746 | 0.15 |
| 50 | cordstring | 0.8148010746 | 0.49 |
| 51 | glasstumbler | 0.8561402541 | 0.28 |
| 52 | grinsmile | 0.9910074537 | 0.32 |
| 53 | serfslave | 0.8673305438 | 0.44 |
| 54 | journeyvoyage | 0.8185286992 | 0.41 |
| 55 | autographsignature | 0.8499457067 | 0.19 |
| 56 | coastshore | 0.8179120223 | 0.47 |
| 57 | forestwoodland | 0.9780261147 | 0.26 |
| 58 | implementtool | 0.0822919486 | 0.51 |
| 59 | cockrooster | 0.9093502924 | 0.94 |
| 60 | boylad | 0.9093502924 | 0.6 |
| 61 | cushionpillow | 0.8157293861 | 0.29 |
| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |
| 63 | automobilecar | 0.8185286992 | 0.52 |
| 64 | gemjewel | 0.8175091596 | 0.65 |
| 65 | middaynoon | 0.9993931059 | 0.93 | | 0 |
| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |
| --- | --- | --- | --- | --- | --- |
| March | qaiserthethia<br>alirazatweets<br>xaifooofficial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |
| April | ptiofficial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 | | | May | khaleejmag<br>diyarahman99<br>maryamnsharif | 347<br>176<br>59 | 1<br>1<br>0 | 1313558.254<br>608312.772<br>551766.163 | 1<br>3<br>4 |
| --- | --- | --- | --- | --- | --- |
| June | dunyanews<br>imrankhanpti<br>ptiofficial | 290<br>105<br>80 | 17<br>0<br>1 | 836335.327<br>288851.658<br>213124.288 | 2<br>4<br>6 |
| July | imrankhanpti<br>dunyanews<br>defencepk | 181<br>122<br>111 | 0<br>15<br>1 | 800178.225<br>705731.185<br>601869.039 | 2<br>4<br>5 |
| August | shehzadind<br>yadavtejashwi | 721<br>622 | 2<br>0 | 328635.667<br>194985.667 | 1<br>2 | | 1 |
| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |
| --- | --- | --- | --- | --- | --- |
| March | qaiserthethia<br>alirazatweets<br>xaifooofficial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |
| April | ptiofficial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 | | | 47 | furnacestove | 0.1651985693 | 0.3 |
| --- | --- | --- | --- |
| 48 | magicianwizard | 0.9985079423 | 0.34 |
| 49 | hillmound | 0.8148010746 | 0.15 |
| 50 | cordstring | 0.8148010746 | 0.49 |
| 51 | glasstumbler | 0.8561402541 | 0.28 |
| 52 | grinsmile | 0.9910074537 | 0.32 |
| 53 | serfslave | 0.8673305438 | 0.44 |
| 54 | journeyvoyage | 0.8185286992 | 0.41 |
| 55 | autographsignature | 0.8499457067 | 0.19 |
| 56 | coastshore | 0.8179120223 | 0.47 |
| 57 | forestwoodland | 0.9780261147 | 0.26 |
| 58 | implementtool | 0.0822919486 | 0.51 |
| 59 | cockrooster | 0.9093502924 | 0.94 |
| 60 | boylad | 0.9093502924 | 0.6 |
| 61 | cushionpillow | 0.8157293861 | 0.29 |
| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |
| 63 | automobilecar | 0.8185286992 | 0.52 |
| 64 | gemjewel | 0.8175091596 | 0.65 |
| 65 | middaynoon | 0.9993931059 | 0.93 | | 0 |
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