premise string | hypothesis string | label int64 |
|---|---|---|
| Network | #ofnodes | 56,969 |
| --- | --- | --- |
| | #ofedges | 84,190 |
| | Nodedegreedistribution | Power-Law(PL) |
| | PLexponent | ≈1.8 |
| | meannodedegree<k> | 2.96 | | | | nodedegree2ndmoment<k> | 174.937 |
| --- | --- | --- |
| | approximatepercolationthreshold(q)≈2c | .0169 |
| | time-to-live(ttl) | 50 |
| SimulationParam. | #ofarrivalsofthesamespam | 500 |
| | threshold(#ofhitsneededtoidentifyspam) | 2 |
| | percolationprobabilitytrials | [.00625.0125.025.05.05...] |
| | #ofruns | 30 |
| ThreatModel | #oftimesteps | 25 |
| | #ofmaliciousnodesinsertedpertimestep | 10 |
| | total#ofmailinglists | 50,000 |
| | Zipfcoefficient | 0.8 |
| | #ofnon-spamsqueriedpertimestep(x) | 1,000 |
| | m,numberofitemsonablacklist | 10 | | 1 |
| Network | #ofnodes | 56,969 |
| --- | --- | --- |
| | #ofedges | 84,190 |
| | Nodedegreedistribution | Power-Law(PL) |
| | PLexponent | ≈1.8 |
| | meannodedegree<k> | 2.96 | | | TotalNodes | 8 | Packetsize | 2000bytes |
| --- | --- | --- | --- |
| DataSlots | 13 | PacketgenerationInterval | 1msec |
| Tc | 1.5msec | Queuelength | 100 |
| Td | 2msec | Routing | AODV |
| Ta | 0.5msec | Simulationtime | 20sec |
| Tq | 20msec | Source | CBR |
| Flow1 | Node1to2 | Flow3 | Node5to6 |
| Flow2 | Node3to4 | Flow4 | Node7to8 |
| Throughputflow1 | 89.79kbps | Throughputflow3 | 91.21kbps |
| Throughputflow2 | 84.08kbps | Throughputflow4 | 89.79kbps | | 0 |
| Network | #ofnodes | 56,969 |
| --- | --- | --- |
| | #ofedges | 84,190 |
| | Nodedegreedistribution | Power-Law(PL) |
| | PLexponent | ≈1.8 |
| | meannodedegree<k> | 2.96 |
| | nodedegree2ndmoment<k> | 174.937 |
| | approximatepercolationthreshold(q)≈2c | .0169 |
| | time-to-live(ttl) | 50 |
| SimulationParam. | #ofarrivalsofthesamespam | 500 |
| | threshold(#ofhitsneededtoidentifyspam) | 2 |
| | percolationprobabilitytrials | [.00625.0125.025.05.05...] |
| | #ofruns | 30 |
| ThreatModel | #oftimesteps | 25 | | | | #ofmaliciousnodesinsertedpertimestep | 10 |
| --- | --- | --- |
| | total#ofmailinglists | 50,000 |
| | Zipfcoefficient | 0.8 |
| | #ofnon-spamsqueriedpertimestep(x) | 1,000 |
| | m,numberofitemsonablacklist | 10 | | 1 |
| Network | #ofnodes | 56,969 |
| --- | --- | --- |
| | #ofedges | 84,190 |
| | Nodedegreedistribution | Power-Law(PL) |
| | PLexponent | ≈1.8 |
| | meannodedegree<k> | 2.96 |
| | nodedegree2ndmoment<k> | 174.937 |
| | approximatepercolationthreshold(q)≈2c | .0169 |
| | time-to-live(ttl) | 50 |
| SimulationParam. | #ofarrivalsofthesamespam | 500 |
| | threshold(#ofhitsneededtoidentifyspam) | 2 |
| | percolationprobabilitytrials | [.00625.0125.025.05.05...] |
| | #ofruns | 30 |
| ThreatModel | #oftimesteps | 25 | | | Flow2 | Node3to4 | Flow4 | Node7to8 |
| --- | --- | --- | --- |
| Throughputflow1 | 89.79kbps | Throughputflow3 | 91.21kbps |
| Throughputflow2 | 84.08kbps | Throughputflow4 | 89.79kbps | | 0 |
| Comparison | Metric | Test | p−value | Mean1 | Mean2 |
| --- | --- | --- | --- | --- | --- |
| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |
| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |
| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 |
| discr./contin. | accuracy | greater | <2.2e−16 | 0.62 | 0.61 |
| iamb/hcloglik | sensitivity | less | <2.2e−16 | 0.02 | 0.59 |
| iamb/hcloglik | specificity | greater | <2.2e−16 | 0.98 | 0.38 | | | ga/hc | sensitivity | less | <2.2e−16 | 0.24 | 0.32 |
| --- | --- | --- | --- | --- | --- |
| ga/hc | specificity | greater | <2.2e−16 | 0.79 | 0.71 | | 1 |
| Comparison | Metric | Test | p−value | Mean1 | Mean2 |
| --- | --- | --- | --- | --- | --- |
| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |
| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |
| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 |
| discr./contin. | accuracy | greater | <2.2e−16 | 0.62 | 0.61 |
| iamb/hcloglik | sensitivity | less | <2.2e−16 | 0.02 | 0.59 |
| iamb/hcloglik | specificity | greater | <2.2e−16 | 0.98 | 0.38 | | | Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |
| Specificity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 | | 0 |
| Comparison | Metric | Test | p−value | Mean1 | Mean2 |
| --- | --- | --- | --- | --- | --- |
| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |
| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |
| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 | | | discr./contin. | accuracy | greater | <2.2e−16 | 0.62 | 0.61 |
| --- | --- | --- | --- | --- | --- |
| iamb/hcloglik | sensitivity | less | <2.2e−16 | 0.02 | 0.59 |
| iamb/hcloglik | specificity | greater | <2.2e−16 | 0.98 | 0.38 |
| ga/hc | sensitivity | less | <2.2e−16 | 0.24 | 0.32 |
| ga/hc | specificity | greater | <2.2e−16 | 0.79 | 0.71 | | 1 |
| Comparison | Metric | Test | p−value | Mean1 | Mean2 |
| --- | --- | --- | --- | --- | --- |
| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |
| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |
| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 | | | Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |
| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |
| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |
| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 | | 0 |
| Patient’sID | ThemedicaleventsForthefirstpatient |
| --- | --- |
| a670605Up,a670602uS | 1B8 |
| a6732002X,a673200WF | 17Z |
| a6732002X,a673201@y | 17Z |
| a673200tm,a673201j7 | ZL5 |
| a673201@y,673200WF | 17Z |
| a673201Wt,a6732025y | 740 |
| a673201wI,a678701pI | H05 | | | a67340327,a681001KN | 171 |
| --- | --- |
| a677505bO,a677505pe | 8B3 |
| a683104@Y,677505bO | 8B3 |
| a683104@Y,a677505pe | 8B3 |
| a673201wI,a777805mH | H05 |
| a673402zw,a683105Bk | H17,8B3 |
| a678701pI,a777805mH | H05 |
| a791600uB,a777806FG | H17 |
| a7916065T,a777800Gj | A78 | | 1 |
| Patient’sID | ThemedicaleventsForthefirstpatient |
| --- | --- |
| a670605Up,a670602uS | 1B8 |
| a6732002X,a673200WF | 17Z |
| a6732002X,a673201@y | 17Z |
| a673200tm,a673201j7 | ZL5 |
| a673201@y,673200WF | 17Z |
| a673201Wt,a6732025y | 740 |
| a673201wI,a678701pI | H05 | | | patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |
| --- | --- | --- | --- | --- | --- |
| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |
| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |
| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |
| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |
| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |
| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |
| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |
| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |
| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |
| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 |
| a678701pI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |
| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |
| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 | | 0 |
| Patient’sID | ThemedicaleventsForthefirstpatient |
| --- | --- |
| a670605Up,a670602uS | 1B8 |
| a6732002X,a673200WF | 17Z |
| a6732002X,a673201@y | 17Z |
| a673200tm,a673201j7 | ZL5 |
| a673201@y,673200WF | 17Z |
| a673201Wt,a6732025y | 740 |
| a673201wI,a678701pI | H05 |
| a67340327,a681001KN | 171 |
| a677505bO,a677505pe | 8B3 |
| a683104@Y,677505bO | 8B3 |
| a683104@Y,a677505pe | 8B3 | | | a673201wI,a777805mH | H05 |
| --- | --- |
| a673402zw,a683105Bk | H17,8B3 |
| a678701pI,a777805mH | H05 |
| a791600uB,a777806FG | H17 |
| a7916065T,a777800Gj | A78 | | 1 |
| Patient’sID | ThemedicaleventsForthefirstpatient |
| --- | --- |
| a670605Up,a670602uS | 1B8 |
| a6732002X,a673200WF | 17Z |
| a6732002X,a673201@y | 17Z |
| a673200tm,a673201j7 | ZL5 |
| a673201@y,673200WF | 17Z |
| a673201Wt,a6732025y | 740 |
| a673201wI,a678701pI | H05 |
| a67340327,a681001KN | 171 |
| a677505bO,a677505pe | 8B3 |
| a683104@Y,677505bO | 8B3 |
| a683104@Y,a677505pe | 8B3 | | | a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |
| --- | --- | --- | --- | --- | --- |
| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 | | 0 |
| | VIPeR | CUHK01 | PRID450s |
| --- | --- | --- | --- |
| No.ofimages | 1264 | 3884 | 900 |
| No.ofidentities | 632 | 971 | 450 |
| No.ofimagesintrainingset | 316 | 485 | 225 | | | No.ofcameraviews | 2 | 2 | 2 |
| --- | --- | --- | --- |
| No.ofimagesperviewperID | 1 | 2 | 1 | | 1 |
| | VIPeR | CUHK01 | PRID450s |
| --- | --- | --- | --- |
| No.ofimages | 1264 | 3884 | 900 |
| No.ofidentities | 632 | 971 | 450 |
| No.ofimagesintrainingset | 316 | 485 | 225 | | | Imageandscheme | Horizontal | Vertical | Diagonal |
| --- | --- | --- | --- |
| PlainLena | 0.9481 | 0.9737 | 0.9244 |
| EncryptedLena | −0.0014 | 0.0025 | 0.0051 |
| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |
| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |
| PlainCameraman | 0.9556 | 0.9738 | 0.934 |
| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |
| PlainPirate | 0.9434 | 0.9564 | 0.9134 |
| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 | | 0 |
| | VIPeR | CUHK01 | PRID450s |
| --- | --- | --- | --- |
| No.ofimages | 1264 | 3884 | 900 | | | No.ofidentities | 632 | 971 | 450 |
| --- | --- | --- | --- |
| No.ofimagesintrainingset | 316 | 485 | 225 |
| No.ofcameraviews | 2 | 2 | 2 |
| No.ofimagesperviewperID | 1 | 2 | 1 | | 1 |
| | VIPeR | CUHK01 | PRID450s |
| --- | --- | --- | --- |
| No.ofimages | 1264 | 3884 | 900 | | | PlainBaboon | 0.8701 | 0.8411 | 0.7889 |
| --- | --- | --- | --- |
| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |
| PlainCameraman | 0.9556 | 0.9738 | 0.934 |
| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |
| PlainPirate | 0.9434 | 0.9564 | 0.9134 |
| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 | | 0 |
| Coefficients | | | |
| --- | --- | --- | --- |
| ScalingScenario | w2 | w1 | w0 |
| Figure?? | 0.0109 | 0.2013 | 50.2 |
| Figure?? | -0.0002161 | 0.05584 | 49.32 | | | Figure?? | 0.01358 | 0.3637 | 51.61 |
| --- | --- | --- | --- |
| Figure?? | 0.0003889 | 0.04552 | 66.85 |
| Figure?? | -1.159e-05 | 0.1038 | 46.92 |
| Figure?? | 2.837e-05 | 0.008834 | 47.05 |
| Figure?? | -0.002184 | 0.04266 | 49.07 |
| Figure?? | 0.007889 | 0.1701 | 50.31 |
| Figure?? | 0.1402 | 2.375 | 56.91 |
| Figure?? | 0.03394 | 0.6107 | 53.26 | | 1 |
| Coefficients | | | |
| --- | --- | --- | --- |
| ScalingScenario | w2 | w1 | w0 |
| Figure?? | 0.0109 | 0.2013 | 50.2 |
| Figure?? | -0.0002161 | 0.05584 | 49.32 | | | Noisecoefficient | horizontal | vertical |
| --- | --- | --- |
| 0.01 | 1.2992 | 1.2739 |
| 0.03 | 1.5758 | 1.2661 |
| 0.05 | 2.0938 | 1.2753 |
| 0.07 | 2.3385 | 1.3668 | | 0 |
| Coefficients | | | |
| --- | --- | --- | --- |
| ScalingScenario | w2 | w1 | w0 |
| Figure?? | 0.0109 | 0.2013 | 50.2 |
| Figure?? | -0.0002161 | 0.05584 | 49.32 |
| Figure?? | 0.01358 | 0.3637 | 51.61 | | | Figure?? | 0.0003889 | 0.04552 | 66.85 |
| --- | --- | --- | --- |
| Figure?? | -1.159e-05 | 0.1038 | 46.92 |
| Figure?? | 2.837e-05 | 0.008834 | 47.05 |
| Figure?? | -0.002184 | 0.04266 | 49.07 |
| Figure?? | 0.007889 | 0.1701 | 50.31 |
| Figure?? | 0.1402 | 2.375 | 56.91 |
| Figure?? | 0.03394 | 0.6107 | 53.26 | | 1 |
| Coefficients | | | |
| --- | --- | --- | --- |
| ScalingScenario | w2 | w1 | w0 |
| Figure?? | 0.0109 | 0.2013 | 50.2 |
| Figure?? | -0.0002161 | 0.05584 | 49.32 |
| Figure?? | 0.01358 | 0.3637 | 51.61 | | | 0.05 | 2.0938 | 1.2753 |
| --- | --- | --- |
| 0.07 | 2.3385 | 1.3668 | | 0 |
| Sentence |
| --- |
| Danieljourneyedtothebathroom. |
| ASPRepresentationOi | | | index(1..5).lemma(1,daniel).pos(1,nn).lemma(2,journey).pos(2,vbd).lemma(3,to).<br>pos(3,to).lemma(4,the).pos(4,dt).lemma(5,bathroom).pos(5,nn). |
| --- |
| PositiveExamplesE |
| arg1(journey01,daniel),arg2(journey01,bathroom). |
| PositiveExamplesE |
| anypossibleoutputthatisnotinE. | | 1 |
| Sentence |
| --- |
| Danieljourneyedtothebathroom. |
| ASPRepresentationOi | | | Case | Behavior | Example | Desirable? |
| --- | --- | --- | --- |
| ?? | Causingirreversibleeffectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |
| ?? | Causingirreversibleeffectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |
| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |
| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseofftheconveyor<br>belt(seeExample??) | Yes | | 0 |
| Sentence |
| --- |
| Danieljourneyedtothebathroom. | | | ASPRepresentationOi |
| --- |
| index(1..5).lemma(1,daniel).pos(1,nn).lemma(2,journey).pos(2,vbd).lemma(3,to).<br>pos(3,to).lemma(4,the).pos(4,dt).lemma(5,bathroom).pos(5,nn). |
| PositiveExamplesE |
| arg1(journey01,daniel),arg2(journey01,bathroom). |
| PositiveExamplesE |
| anypossibleoutputthatisnotinE. | | 1 |
| Sentence |
| --- |
| Danieljourneyedtothebathroom. | | | ?? | Causingirreversibleeffectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |
| --- | --- | --- | --- |
| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |
| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseofftheconveyor<br>belt(seeExample??) | Yes | | 0 |
| Layertype | Subnet(CIDR) | IPRange |
| --- | --- | --- |
| ConvolutionalLayer | 0.0/4 | 0.0-15.255 | | | Fully-ConnectedLayer | 16.0/5 | 16.0-23.255 |
| --- | --- | --- |
| PoolingLayer | 24.0/5 | 24.0-31.255 |
| DisabledLayer | 32.0/5 | 32.0-39.255 | | 1 |
| Layertype | Subnet(CIDR) | IPRange |
| --- | --- | --- |
| ConvolutionalLayer | 0.0/4 | 0.0-15.255 | | | Layer | Filter/Stride | #Channel | #Filter |
| --- | --- | --- | --- |
| Conv11 | 3×3/1 | 1 | 32 |
| Conv12 | 3×3/1 | 32 | 64 |
| MaxPool | 2×2/2 | 64 | – |
| Conv21 | 3×3/1 | 64 | 64 |
| Conv22 | 3×3/1 | 64 | 128 |
| MaxPool | 2×2/2 | 128 | – |
| Conv31 | 3×3/1 | 128 | 96 |
| Conv32 | 3×3/1 | 96 | 192 |
| MaxPool | 2×2/2 | 192 | – |
| Conv41 | 3×3/1 | 192 | 128 |
| Conv42 | 3×3/1 | 128 | 256 |
| MaxPool | 2×2/2 | 256 | – |
| Conv51 | 3×3/1 | 256 | 160 |
| Conv52 | 3×3/1 | 160 | 320 |
| AvgPool | 6×6/1 | 320 | – |
| Dropout1-0.3 | – | – | – |
| FC | 1×320/1 | 320 | 100 | | 0 |
| Layertype | Subnet(CIDR) | IPRange |
| --- | --- | --- |
| ConvolutionalLayer | 0.0/4 | 0.0-15.255 |
| Fully-ConnectedLayer | 16.0/5 | 16.0-23.255 | | | PoolingLayer | 24.0/5 | 24.0-31.255 |
| --- | --- | --- |
| DisabledLayer | 32.0/5 | 32.0-39.255 | | 1 |
| Layertype | Subnet(CIDR) | IPRange |
| --- | --- | --- |
| ConvolutionalLayer | 0.0/4 | 0.0-15.255 |
| Fully-ConnectedLayer | 16.0/5 | 16.0-23.255 | | | MaxPool | 2×2/2 | 256 | – |
| --- | --- | --- | --- |
| Conv51 | 3×3/1 | 256 | 160 |
| Conv52 | 3×3/1 | 160 | 320 |
| AvgPool | 6×6/1 | 320 | – |
| Dropout1-0.3 | – | – | – |
| FC | 1×320/1 | 320 | 100 | | 0 |
| SNo | AnatomyLabel | #ofslices | Percentage |
| --- | --- | --- | --- |
| 1 | alongfalx/tentorium | 1025 | 6.65 |
| 2 | basalcisterns | 504 | 3.27 |
| 3 | brainstem | 95 | 0.62 |
| 4 | cerebellum | 236 | 1.53 |
| 5 | ethmoidal | 113 | 0.74 |
| 6 | frontalregion | 4263 | 27.64 |
| 7 | gangliocapsularregion | 146 | 0.95 |
| 8 | maxillary | 622 | 4.04 |
| 9 | occipitalregion | 760 | 4.93 | | | 10 | parietalregion | 2341 | 15.18 |
| --- | --- | --- | --- |
| 11 | sphenoid | 254 | 1.65 |
| 12 | sulcalspaces | 1026 | 6.66 |
| 13 | temporalregion | 2520 | 16.34 |
| 14 | thalamus | 51 | 0.34 |
| 15 | ventricularsystem | 1469 | 9.53 |
| | TotalSlices | 15425 | | | 1 |
| SNo | AnatomyLabel | #ofslices | Percentage |
| --- | --- | --- | --- |
| 1 | alongfalx/tentorium | 1025 | 6.65 |
| 2 | basalcisterns | 504 | 3.27 |
| 3 | brainstem | 95 | 0.62 |
| 4 | cerebellum | 236 | 1.53 |
| 5 | ethmoidal | 113 | 0.74 |
| 6 | frontalregion | 4263 | 27.64 |
| 7 | gangliocapsularregion | 146 | 0.95 |
| 8 | maxillary | 622 | 4.04 |
| 9 | occipitalregion | 760 | 4.93 | | | Segmenttype | H | L | S | HL | LH |
| --- | --- | --- | --- | --- | --- |
| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |
| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |
| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |
| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |
| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |
| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |
| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |
| Affricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |
| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |
| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |
| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 | | 0 |
| SNo | AnatomyLabel | #ofslices | Percentage |
| --- | --- | --- | --- |
| 1 | alongfalx/tentorium | 1025 | 6.65 |
| 2 | basalcisterns | 504 | 3.27 | | | 3 | brainstem | 95 | 0.62 |
| --- | --- | --- | --- |
| 4 | cerebellum | 236 | 1.53 |
| 5 | ethmoidal | 113 | 0.74 |
| 6 | frontalregion | 4263 | 27.64 |
| 7 | gangliocapsularregion | 146 | 0.95 |
| 8 | maxillary | 622 | 4.04 |
| 9 | occipitalregion | 760 | 4.93 |
| 10 | parietalregion | 2341 | 15.18 |
| 11 | sphenoid | 254 | 1.65 |
| 12 | sulcalspaces | 1026 | 6.66 |
| 13 | temporalregion | 2520 | 16.34 |
| 14 | thalamus | 51 | 0.34 |
| 15 | ventricularsystem | 1469 | 9.53 |
| | TotalSlices | 15425 | | | 1 |
| SNo | AnatomyLabel | #ofslices | Percentage |
| --- | --- | --- | --- |
| 1 | alongfalx/tentorium | 1025 | 6.65 |
| 2 | basalcisterns | 504 | 3.27 | | | Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |
| --- | --- | --- | --- | --- | --- |
| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |
| Affricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |
| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |
| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |
| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 | | 0 |
| 761 | 12 |
| --- | --- |
| 899 | 35 |
| 442 | 4 |
| 2256 | 173 | | | 349 | 1 |
| --- | --- |
| 446 | 2 |
| 307 | 1 |
| 1472 | 142 |
| 332 | 1 |
| 941 | 81 |
| 646 | 39 |
| 1922 | 201 |
| 623 | 38 |
| 405 | 12 |
| 527 | 22 |
| 491 | 24 |
| 531 | 23 |
| 474 | 27 |
| 515 | 22 |
| 856 | 104 |
| 424 | 17 |
| 515 | 37 |
| 403 | 17 |
| 1615 | 186 | | 1 |
| 761 | 12 |
| --- | --- |
| 899 | 35 |
| 442 | 4 |
| 2256 | 173 | | | 449 | 144 |
| --- | --- |
| 457 | 162 |
| 434 | 158 |
| 541 | 184 |
| 615 | 245 |
| 585 | 233 |
| 217 | 99 |
| 236 | 110 |
| 285 | 155 |
| 120 | 57 |
| 112 | 52 |
| 190 | 105 |
| 57 | 10 |
| 67 | 24 |
| 346 | 212 |
| 123 | 43 |
| 95 | 57 |
| 119 | 86 |
| 310 | 212 |
| 110 | 85 |
| 160 | 111 |
| 40 | 6 |
| 116 | 84 |
| 76 | 47 | | 0 |
| 761 | 12 |
| --- | --- |
| 899 | 35 |
| 442 | 4 |
| 2256 | 173 |
| 349 | 1 |
| 446 | 2 |
| 307 | 1 |
| 1472 | 142 |
| 332 | 1 |
| 941 | 81 | | | 646 | 39 |
| --- | --- |
| 1922 | 201 |
| 623 | 38 |
| 405 | 12 |
| 527 | 22 |
| 491 | 24 |
| 531 | 23 |
| 474 | 27 |
| 515 | 22 |
| 856 | 104 |
| 424 | 17 |
| 515 | 37 |
| 403 | 17 |
| 1615 | 186 | | 1 |
| 761 | 12 |
| --- | --- |
| 899 | 35 |
| 442 | 4 |
| 2256 | 173 |
| 349 | 1 |
| 446 | 2 |
| 307 | 1 |
| 1472 | 142 |
| 332 | 1 |
| 941 | 81 | | | 585 | 233 |
| --- | --- |
| 217 | 99 |
| 236 | 110 |
| 285 | 155 |
| 120 | 57 |
| 112 | 52 |
| 190 | 105 |
| 57 | 10 |
| 67 | 24 |
| 346 | 212 |
| 123 | 43 |
| 95 | 57 |
| 119 | 86 |
| 310 | 212 |
| 110 | 85 |
| 160 | 111 |
| 40 | 6 |
| 116 | 84 |
| 76 | 47 | | 0 |
| Methods | Depth |
| --- | --- |
| DynamicTemporalWarping | 54.0 | | | ActionletEnsemble | 85.8 |
| --- | --- |
| HON4D | 85 |
| 3DTrajectories | 72 |
| Ourmethod(Unsupervisedtraining) | 86.9 | | 1 |
| Methods | Depth |
| --- | --- |
| DynamicTemporalWarping | 54.0 | | | Methods | Depth |
| --- | --- |
| HOG | 32.24 |
| SuperNormalVector | 31.82 |
| HON4D | 30.56 |
| LieGroup | 50.08 |
| SkeletalQuads | 38.62 |
| FTPDynamicSkeletons | 60.23 |
| HBRNN-L | 59.07 |
| 2LayerP-LSTM | 62.93 |
| ShuffleandLearn | 47.5 |
| Ourmethod(Unsupervisedtraining) | 66.2 | | 0 |
| Methods | Depth |
| --- | --- |
| DynamicTemporalWarping | 54.0 |
| ActionletEnsemble | 85.8 |
| HON4D | 85 | | | 3DTrajectories | 72 |
| --- | --- |
| Ourmethod(Unsupervisedtraining) | 86.9 | | 1 |
| Methods | Depth |
| --- | --- |
| DynamicTemporalWarping | 54.0 |
| ActionletEnsemble | 85.8 |
| HON4D | 85 | | | ShuffleandLearn | 47.5 |
| --- | --- |
| Ourmethod(Unsupervisedtraining) | 66.2 | | 0 |
| | MSE(10) | | | |
| --- | --- | --- | --- | --- |
| | Curvelet | PCA | FBsPCA | FFBsPCA |
| Image1 | 1.38 | 1.10 | 0.77 | 0.77 | | | Image2 | 1.63 | 1.29 | 0.95 | 0.96 |
| --- | --- | --- | --- | --- |
| Image3 | 1.58 | 1.17 | 0.85 | 0.85 | | 1 |
| | MSE(10) | | | |
| --- | --- | --- | --- | --- |
| | Curvelet | PCA | FBsPCA | FFBsPCA |
| Image1 | 1.38 | 1.10 | 0.77 | 0.77 | | | | noFBsPCAdenoising | FBsPCAdenoising |
| --- | --- | --- |
| RFA/K-means | 0.09 | 0.48 |
| MSA/MRA | 0.87 | 0.95 |
| EMAN2 | 0.45 | 0.76 |
| Xmipp | 0.68 | 0.96 | | 0 |
| | MSE(10) | | | |
| --- | --- | --- | --- | --- |
| | Curvelet | PCA | FBsPCA | FFBsPCA |
| Image1 | 1.38 | 1.10 | 0.77 | 0.77 | | | Image2 | 1.63 | 1.29 | 0.95 | 0.96 |
| --- | --- | --- | --- | --- |
| Image3 | 1.58 | 1.17 | 0.85 | 0.85 | | 1 |
| | MSE(10) | | | |
| --- | --- | --- | --- | --- |
| | Curvelet | PCA | FBsPCA | FFBsPCA |
| Image1 | 1.38 | 1.10 | 0.77 | 0.77 | | | MSA/MRA | 0.87 | 0.95 |
| --- | --- | --- |
| EMAN2 | 0.45 | 0.76 |
| Xmipp | 0.68 | 0.96 | | 0 |
| Teamname | meanAP |
| --- | --- |
| CUVideo(Ours) | 67.82 |
| ITLabVID-Inha | 51.50 | | | UIUC-IFP | 48.72 |
| --- | --- |
| Trimps-Soushen | 46.12 |
| 1-HKUST | 42.11 |
| HiVision | 37.52 |
| RUCBDAI | 35.97 | | 1 |
| Teamname | meanAP |
| --- | --- |
| CUVideo(Ours) | 67.82 |
| ITLabVID-Inha | 51.50 | | | Team | CPM | AUC |
| --- | --- | --- |
| DRSCREEN | 0.434 | 0.551 |
| Niemeijeretal. | 0.395 | 0.469 |
| LaTIM | 0.381 | 0.489 |
| ISMV | 0.375 | 0.435 |
| OKmedicalII | 0.369 | 0.465 |
| OKmedical | 0.357 | 0.430 |
| Lazaretal. | 0.355 | 0.449 |
| GIB | 0.322 | 0.399 |
| Fujita | 0.310 | 0.378 |
| IRIA | 0.264 | 0.368 |
| Waikato | 0.206 | 0.273 | | 0 |
| Teamname | meanAP |
| --- | --- |
| CUVideo(Ours) | 67.82 | | | ITLabVID-Inha | 51.50 |
| --- | --- |
| UIUC-IFP | 48.72 |
| Trimps-Soushen | 46.12 |
| 1-HKUST | 42.11 |
| HiVision | 37.52 |
| RUCBDAI | 35.97 | | 1 |
| Teamname | meanAP |
| --- | --- |
| CUVideo(Ours) | 67.82 | | | OKmedical | 0.357 | 0.430 |
| --- | --- | --- |
| Lazaretal. | 0.355 | 0.449 |
| GIB | 0.322 | 0.399 |
| Fujita | 0.310 | 0.378 |
| IRIA | 0.264 | 0.368 |
| Waikato | 0.206 | 0.273 | | 0 |
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |
| --- | --- | --- | --- | --- | --- | --- |
| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |
| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 | | | HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |
| --- | --- | --- | --- | --- | --- | --- |
| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 |
| LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 |
| RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 |
| RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 |
| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |
| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |
| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 | | 1 |
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |
| --- | --- | --- | --- | --- | --- | --- |
| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |
| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 | | | Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |
| --- | --- | --- | --- | --- | --- | --- |
| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |
| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |
| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |
| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 |
| LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 |
| RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 |
| RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |
| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |
| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |
| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 | | 0 |
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |
| --- | --- | --- | --- | --- | --- | --- |
| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |
| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |
| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |
| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 | | | LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 |
| --- | --- | --- | --- | --- | --- | --- |
| RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 |
| RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 |
| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |
| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |
| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 | | 1 |
| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |
| --- | --- | --- | --- | --- | --- | --- |
| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |
| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |
| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |
| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 | | | RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |
| --- | --- | --- | --- | --- | --- | --- |
| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |
| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |
| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 | | 0 |
| CDRError |
| --- |
| 0.0774 |
| 0.0740 |
| 0.0710 |
| 0.0696 | | | 0.0660 |
| --- |
| 0.0616 |
| 0.0669 |
| 0.0613 |
| 0.0599 | | 1 |
| CDRError |
| --- |
| 0.0774 |
| 0.0740 |
| 0.0710 |
| 0.0696 | | | 0.646 | 0.625 | 0.812 |
| --- | --- | --- |
| - | 0.378 | - |
| - | - | 0.847 |
| - | - | - |
| 0.555 | 0.448 | 0.626 |
| - | 0.374 | - |
| - | - | - |
| 0.494 | - | 0.631 | | 0 |
| CDRError |
| --- |
| 0.0774 |
| 0.0740 |
| 0.0710 |
| 0.0696 | | | 0.0660 |
| --- |
| 0.0616 |
| 0.0669 |
| 0.0613 |
| 0.0599 | | 1 |
| CDRError |
| --- |
| 0.0774 |
| 0.0740 |
| 0.0710 |
| 0.0696 | | | 0.555 | 0.448 | 0.626 |
| --- | --- | --- |
| - | 0.374 | - |
| - | - | - |
| 0.494 | - | 0.631 | | 0 |
| | Detection | Overlap | FW | Ham. |
| --- | --- | --- | --- | --- |
| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |
| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 |
| Case3 | 0.1 | 2.23 | 4.3e-03 | 1.0e-01 | | | Case4 | 3.0 | 0.0223 | 9.3e-06 | 8.9e-03 |
| --- | --- | --- | --- | --- |
| Case5 | 0.074 | 0.0223 | 3.1e-02 | 1.0e-01 |
| Case6 | -1.0 | 0.0223 | 1.0e-01 | 1.3e-01 | | 1 |
| | Detection | Overlap | FW | Ham. |
| --- | --- | --- | --- | --- |
| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |
| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 |
| Case3 | 0.1 | 2.23 | 4.3e-03 | 1.0e-01 | | | Case | CRNN | NNPG | SVR | LVX | ARX |
| --- | --- | --- | --- | --- | --- |
| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |
| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |
| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |
| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |
| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |
| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |
| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |
| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |
| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |
| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |
| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |
| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 | | 0 |
| | Detection | Overlap | FW | Ham. |
| --- | --- | --- | --- | --- |
| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |
| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 | | | Case3 | 0.1 | 2.23 | 4.3e-03 | 1.0e-01 |
| --- | --- | --- | --- | --- |
| Case4 | 3.0 | 0.0223 | 9.3e-06 | 8.9e-03 |
| Case5 | 0.074 | 0.0223 | 3.1e-02 | 1.0e-01 |
| Case6 | -1.0 | 0.0223 | 1.0e-01 | 1.3e-01 | | 1 |
| | Detection | Overlap | FW | Ham. |
| --- | --- | --- | --- | --- |
| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |
| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 | | | Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |
| --- | --- | --- | --- | --- | --- |
| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 | | 0 |
| | avg.precision | ratiotoJ-J |
| --- | --- | --- |
| J-J | 0.204 | — |
| CWT | 0.193 | 0.946 | | | translit | 0.193 | 0.946 |
| --- | --- | --- |
| control | 0.115 | 0.564 | | 1 |
| | avg.precision | ratiotoJ-J |
| --- | --- | --- |
| J-J | 0.204 | — |
| CWT | 0.193 | 0.946 | | | #ofRules | Accuracy | Avg.#oftagsperword |
| --- | --- | --- |
| 0 | 96.5 | 1.00 |
| 50 | 96.9 | 1.02 |
| 100 | 97.4 | 1.04 |
| 150 | 97.9 | 1.10 |
| 200 | 98.4 | 1.19 |
| 250 | 99.1 | 1.50 | | 0 |
| | avg.precision | ratiotoJ-J |
| --- | --- | --- |
| J-J | 0.204 | — |
| CWT | 0.193 | 0.946 | | | translit | 0.193 | 0.946 |
| --- | --- | --- |
| control | 0.115 | 0.564 | | 1 |
| | avg.precision | ratiotoJ-J |
| --- | --- | --- |
| J-J | 0.204 | — |
| CWT | 0.193 | 0.946 | | | 200 | 98.4 | 1.19 |
| --- | --- | --- |
| 250 | 99.1 | 1.50 | | 0 |
| Method | Dice | Sensitivity | Specificity |
| --- | --- | --- | --- |
| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |
| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) | | | Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |
| --- | --- | --- | --- |
| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |
| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |
| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) | | 1 |
| Method | Dice | Sensitivity | Specificity |
| --- | --- | --- | --- |
| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |
| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) | | | | LPBA40 | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | Dice | Sensitivity | Specificity | Dice | Sensitivity |
| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |
| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |
| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |
| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |
| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |
| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |
| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |
| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |
| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) | | 0 |
| Method | Dice | Sensitivity | Specificity |
| --- | --- | --- | --- |
| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) | | | U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |
| --- | --- | --- | --- |
| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |
| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |
| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |
| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) | | 1 |
| Method | Dice | Sensitivity | Specificity |
| --- | --- | --- | --- |
| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) | | | BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |
| --- | --- | --- | --- | --- | --- |
| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |
| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |
| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) | | 0 |
| Cluster |
| --- |
| Location |
| Composition | | | Catholicism |
| --- |
| Others |
| Abstract |
| Specific |
| Scientist |
| Businessman |
| Writer | | 1 |
| Cluster |
| --- |
| Location |
| Composition | | | primari | ssu | thebes |
| --- | --- | --- |
| confucius | morality | romana |
| goodness | timpul | tarii |
| cynical | tub | crates |
| phila | transaction | corporeal | | 0 |
| Cluster |
| --- |
| Location |
| Composition |
| Catholicism |
| Others |
| Abstract |
| Specific |
| Scientist | | | Businessman |
| --- |
| Writer | | 1 |
| Cluster |
| --- |
| Location |
| Composition |
| Catholicism |
| Others |
| Abstract |
| Specific |
| Scientist | | | goodness | timpul | tarii |
| --- | --- | --- |
| cynical | tub | crates |
| phila | transaction | corporeal | | 0 |
| shape | noise=0 | noise=1 | noise=2 | noise=3 |
| --- | --- | --- | --- | --- |
| anchor | coffeepot<br>0.725 | coffeepot<br>0.562 | coffeepot<br>0.512 | tophat<br>0.542 |
| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |
| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |
| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |
| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |
| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |
| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |
| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |
| fish | fish<br>0.830 | fish<br>0.815 | fish<br>0.782 | turtleb<br>0.453 |
| horse | toad<br>0.692 | dogb<br>0.608 | car<br>0.598 | mission<br>0.555 |
| kangaroo | kangaroo<br>0.832 | kangaroo<br>0.784 | kangaroo<br>0.737 | baseballcatcher<br>0.408 |
| palmtree | palmtree<br>0.574 | car<br>0.589 | car<br>0.553 | balloon<br>0.596 |
| pistol | pistol<br>0.752 | pistol<br>0.694 | pistol<br>0.685 | pistol<br>0.429 |
| plane | hockeyplayer<br>0.446 | car<br>0.659 | car<br>0.596 | tophat<br>0.690 | | | shoe | shoe<br>0.850 | shoe<br>0.843 | shoe<br>0.707 | shoe<br>0.609 |
| --- | --- | --- | --- | --- |
| squirrel | squirrel<br>0.913 | squirrel<br>0.892 | squirrel<br>0.724 | mission<br>0.588 |
| star | star<br>0.633 | bear<br>0.611 | star<br>0.663 | car<br>0.619 |
| telephone | telephone<br>0.982 | telephone<br>0.943 | telephone<br>0.938 | libertybell<br>0.442 |
| umbrella | umbrella<br>0.558 | balloon<br>0.698 | umbrella<br>0.625 | car<br>0.525 |
| violin | violin<br>0.880 | violin<br>0.850 | violin<br>0.823 | mission<br>0.492 |
| rate<br>average | 0.850<br>0.790 | 0.650<br>0.772 | 0.800<br>0.735 | 0.350<br>0.578 | | 1 |
| shape | noise=0 | noise=1 | noise=2 | noise=3 |
| --- | --- | --- | --- | --- |
| anchor | coffeepot<br>0.725 | coffeepot<br>0.562 | coffeepot<br>0.512 | tophat<br>0.542 |
| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |
| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |
| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |
| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |
| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |
| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |
| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |
| fish | fish<br>0.830 | fish<br>0.815 | fish<br>0.782 | turtleb<br>0.453 |
| horse | toad<br>0.692 | dogb<br>0.608 | car<br>0.598 | mission<br>0.555 |
| kangaroo | kangaroo<br>0.832 | kangaroo<br>0.784 | kangaroo<br>0.737 | baseballcatcher<br>0.408 |
| palmtree | palmtree<br>0.574 | car<br>0.589 | car<br>0.553 | balloon<br>0.596 |
| pistol | pistol<br>0.752 | pistol<br>0.694 | pistol<br>0.685 | pistol<br>0.429 |
| plane | hockeyplayer<br>0.446 | car<br>0.659 | car<br>0.596 | tophat<br>0.690 | | | Model | Beam | bottle | bus | couch | microwave | pizza | racket | suitcase |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DCC<br>KGA-CGM | 1<br>1 | 4.6<br>26.4<br>17.7<br>16.3<br>29.6<br>22.2 | 29.8<br>54.2<br>68.7<br>67.8<br>74.4<br>42.5 | 45.9<br>42.1<br>25.5<br>48.2<br>38.7<br>34.4 | 28.1<br>50.9<br>24.7<br>29.7<br>27.8<br>48.1 | 64.6<br>70.8<br>69.3<br>77.2<br>68.1<br>69.6 | 52.2<br>75.3<br>55.3<br>57.1<br>70.2<br>63.1 | 13.2<br>25.6<br>39.8<br>49.9<br>44.7<br>22.6 |
| NOC<br>CBS(T4)<br>LSTM-C<br>KGA-CGM | >1<br>>1<br>>1<br>>1 | | | | | | | |
| DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |
| NOC<br>KGA-CGM | >1<br>>1 | | | | | | | |
| KGA-CGM<br>KGA-CGM | 1<br>>1 | 13.1<br>12.6 | 12.6<br>11.6 | 14.9<br>14.6 | 13.3<br>13.6 | 13.2<br>13.1 | 19.8<br>16.7 | 10.6<br>10.3 | | 0 |
| shape | noise=0 | noise=1 | noise=2 | noise=3 |
| --- | --- | --- | --- | --- |
| anchor | coffeepot<br>0.725 | coffeepot<br>0.562 | coffeepot<br>0.512 | tophat<br>0.542 |
| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |
| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |
| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |
| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |
| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |
| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |
| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |
| fish | fish<br>0.830 | fish<br>0.815 | fish<br>0.782 | turtleb<br>0.453 | | | horse | toad<br>0.692 | dogb<br>0.608 | car<br>0.598 | mission<br>0.555 |
| --- | --- | --- | --- | --- |
| kangaroo | kangaroo<br>0.832 | kangaroo<br>0.784 | kangaroo<br>0.737 | baseballcatcher<br>0.408 |
| palmtree | palmtree<br>0.574 | car<br>0.589 | car<br>0.553 | balloon<br>0.596 |
| pistol | pistol<br>0.752 | pistol<br>0.694 | pistol<br>0.685 | pistol<br>0.429 |
| plane | hockeyplayer<br>0.446 | car<br>0.659 | car<br>0.596 | tophat<br>0.690 |
| shoe | shoe<br>0.850 | shoe<br>0.843 | shoe<br>0.707 | shoe<br>0.609 |
| squirrel | squirrel<br>0.913 | squirrel<br>0.892 | squirrel<br>0.724 | mission<br>0.588 |
| star | star<br>0.633 | bear<br>0.611 | star<br>0.663 | car<br>0.619 |
| telephone | telephone<br>0.982 | telephone<br>0.943 | telephone<br>0.938 | libertybell<br>0.442 |
| umbrella | umbrella<br>0.558 | balloon<br>0.698 | umbrella<br>0.625 | car<br>0.525 |
| violin | violin<br>0.880 | violin<br>0.850 | violin<br>0.823 | mission<br>0.492 |
| rate<br>average | 0.850<br>0.790 | 0.650<br>0.772 | 0.800<br>0.735 | 0.350<br>0.578 | | 1 |
| shape | noise=0 | noise=1 | noise=2 | noise=3 |
| --- | --- | --- | --- | --- |
| anchor | coffeepot<br>0.725 | coffeepot<br>0.562 | coffeepot<br>0.512 | tophat<br>0.542 |
| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |
| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |
| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |
| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |
| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |
| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |
| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |
| fish | fish<br>0.830 | fish<br>0.815 | fish<br>0.782 | turtleb<br>0.453 | | | DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NOC<br>KGA-CGM | >1<br>>1 | | | | | | | |
| KGA-CGM<br>KGA-CGM | 1<br>>1 | 13.1<br>12.6 | 12.6<br>11.6 | 14.9<br>14.6 | 13.3<br>13.6 | 13.2<br>13.1 | 19.8<br>16.7 | 10.6<br>10.3 | | 0 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | \|V\|0 | tiles | states | trans. | Time |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |
| Flip-flop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 | | | And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ValmemLatch | 7 | [2,5] | 8 | 4 | 73062 | 5 | 21 | 20 | 96.3 |
| CSMA/CD | 3 | [3,8] | 3 | 3 | 2000 | 140 | 349 | 545 | 269 |
| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |
| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 | | 1 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | \|V\|0 | tiles | states | trans. | Time |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |
| Flip-flop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 | | | Example | PTAs | loc./PTA | \|X\| | \|P\| | iter. | \|K\|0 | states | trans. | Time1 | Time2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |
| Flip-flop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 |
| And–Or | 3 | [4,8] | 4 | 12 | 14 | 4 | 13 | 13 | 1.81 | 0.15 |
| ValmemLatch | 7 | [2,5] | 8 | 13 | 12 | 6 | 18 | 17 | 14.4 | 0.345 |
| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |
| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 64 | 2.3 |
| SPSMALL1 | 10 | [3,8] | 10 | 26 | 32 | 23 | 31 | 30 | 4680 | 2.6 |
| BRP | 6 | [2,6] | 7 | 6 | 30 | 7 | 429 | 474 | 901 | 34 |
| SPSMALL2 | 28 | [2,11] | 28 | 5 | 92 | 8 | 472 | 548 | - | 1755 | | 0 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | \|V\|0 | tiles | states | trans. | Time |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |
| Flip-flop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |
| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 | | | ValmemLatch | 7 | [2,5] | 8 | 4 | 73062 | 5 | 21 | 20 | 96.3 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CSMA/CD | 3 | [3,8] | 3 | 3 | 2000 | 140 | 349 | 545 | 269 |
| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |
| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 | | 1 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | \|V\|0 | tiles | states | trans. | Time |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |
| Flip-flop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |
| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 | | | CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 64 | 2.3 |
| SPSMALL1 | 10 | [3,8] | 10 | 26 | 32 | 23 | 31 | 30 | 4680 | 2.6 |
| BRP | 6 | [2,6] | 7 | 6 | 30 | 7 | 429 | 474 | 901 | 34 |
| SPSMALL2 | 28 | [2,11] | 28 | 5 | 92 | 8 | 472 | 548 | - | 1755 | | 0 |
| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |
| --- | --- | --- |
| 2008 | 2008,year | 2008 |
| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati | | | bama | bomb | explosives,bomb,device |
| --- | --- | --- |
| visphoTa | explosion | explosion,blast,accident |
| xati | loss | degradation,damage,distortion | | 1 |
| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |
| --- | --- | --- |
| 2008 | 2008,year | 2008 |
| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati | | | 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 | | 0 |
| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |
| --- | --- | --- |
| 2008 | 2008,year | 2008 |
| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati | | | bama | bomb | explosives,bomb,device |
| --- | --- | --- |
| visphoTa | explosion | explosion,blast,accident |
| xati | loss | degradation,damage,distortion | | 1 |
| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |
| --- | --- | --- |
| 2008 | 2008,year | 2008 |
| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati | | | 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 | | 0 |
| | Spontaneous | Posed | | |
| --- | --- | --- | --- | --- |
| Relation | Subj.# | Vid.# | Sub.# | Vid.# |
| S-S | 7 | 22 | 9 | 32 |
| B-B | 7 | 15 | 6 | 13 |
| S-B | 12 | 32 | 10 | 34 |
| M-D | 16 | 57 | 20 | 76 |
| M-S | 12 | 36 | 14 | 46 |
| F-D | 9 | 28 | 9 | 30 | | | F-S | 12 | 38 | 19 | 56 |
| --- | --- | --- | --- | --- |
| All | 75 | 228 | 87 | 287 | | 1 |
| | Spontaneous | Posed | | |
| --- | --- | --- | --- | --- |
| Relation | Subj.# | Vid.# | Sub.# | Vid.# |
| S-S | 7 | 22 | 9 | 32 |
| B-B | 7 | 15 | 6 | 13 |
| S-B | 12 | 32 | 10 | 34 |
| M-D | 16 | 57 | 20 | 76 |
| M-S | 12 | 36 | 14 | 46 |
| F-D | 9 | 28 | 9 | 30 | | | Ground<br>truth | TIFFS | | |
| --- | --- | --- | --- |
| Extract | Match | Extract | |
| 352 | 358 | 181 | 351 |
| 235 | 45 | 41 | 47 |
| 47 | 32 | 28 | 34 |
| 79 | 61 | 52 | 57 |
| 107 | 43 | 39 | 44 |
| 169 | 71 | 58 | 67 |
| 106 | 79 | 40 | 82 |
| 22 | 15 | 10 | 14 |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 |
| 117 | 82 | 69 | 80 |
| 92 | 58 | 42 | 62 |
| 1565 | 1074 | 681 | 1060 | | 0 |
| | Spontaneous | Posed | | |
| --- | --- | --- | --- | --- |
| Relation | Subj.# | Vid.# | Sub.# | Vid.# |
| S-S | 7 | 22 | 9 | 32 |
| B-B | 7 | 15 | 6 | 13 | | | S-B | 12 | 32 | 10 | 34 |
| --- | --- | --- | --- | --- |
| M-D | 16 | 57 | 20 | 76 |
| M-S | 12 | 36 | 14 | 46 |
| F-D | 9 | 28 | 9 | 30 |
| F-S | 12 | 38 | 19 | 56 |
| All | 75 | 228 | 87 | 287 | | 1 |
| | Spontaneous | Posed | | |
| --- | --- | --- | --- | --- |
| Relation | Subj.# | Vid.# | Sub.# | Vid.# |
| S-S | 7 | 22 | 9 | 32 |
| B-B | 7 | 15 | 6 | 13 | | | 22 | 15 | 10 | 14 |
| --- | --- | --- | --- |
| 49 | 83 | 31 | 76 |
| 100 | 63 | 45 | 62 |
| 53 | 42 | 24 | 41 |
| 37 | 45 | 21 | 42 |
| 117 | 82 | 69 | 80 |
| 92 | 58 | 42 | 62 |
| 1565 | 1074 | 681 | 1060 | | 0 |
| MovieName | NumberofRatings |
| --- | --- |
| StarWars | 583 | | | TommorrowNeverDies | 180 |
| --- | --- |
| RobinHood:MeninTights | 56 |
| ScreamofStone | 1 | | 1 |
| MovieName | NumberofRatings |
| --- | --- |
| StarWars | 583 | | | Movie | ReleaseDate |
| --- | --- |
| Armored | 2009-12-04 |
| Avatar | 2009-12-18 |
| TheBlindSide | 2009-11-20 |
| TheBookofEli | 2010-01-15 |
| Daybreakers | 2010-01-08 |
| DearJohn | 2010-02-05 |
| DidYouHearAboutTheMorgans | 2009-12-18 |
| EdgeOfDarkness | 2010-01-29 |
| ExtraordinaryMeasures | 2010-01-22 |
| FromParisWithLove | 2010-02-05 |
| TheImaginariumofDrParnassus | 2010-01-08 |
| Invictus | 2009-12-11 |
| LeapYear | 2010-01-08 |
| Legion | 2010-01-22 |
| Twilight:NewMoon | 2009-11-20 |
| PirateRadio | 2009-11-13 |
| PrincessAndTheFrog | 2009-12-11 |
| SherlockHolmes | 2009-12-25 |
| SpyNextDoor | 2010-01-15 |
| TheCrazies | 2010-02-26 |
| ToothFairy | 2010-01-22 |
| Transylmania | 2009-12-04 |
| WhenInRome | 2010-01-29 |
| YouthInRevolt | 2010-01-08 | | 0 |
| MovieName | NumberofRatings |
| --- | --- |
| StarWars | 583 | | | TommorrowNeverDies | 180 |
| --- | --- |
| RobinHood:MeninTights | 56 |
| ScreamofStone | 1 | | 1 |
| MovieName | NumberofRatings |
| --- | --- |
| StarWars | 583 | | | Transylmania | 2009-12-04 |
| --- | --- |
| WhenInRome | 2010-01-29 |
| YouthInRevolt | 2010-01-08 | | 0 |
| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |
| --- |
| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 |
| -classe1830(attendus=169,ramenes=547.00,corrects=52.00)<br>rappel=0.308precision=0.095f-mesure=0.145 |
| -classe1840(attendus=169,ramenes=89.00,corrects=8.00)<br>rappel=0.047precision=0.090f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=124.00,corrects=9.00)<br>rappel=0.053precision=0.073f-mesure=0.061 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-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=115.00,corrects=8.00)<br>rappel=0.041precision=0.070f-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=139.00,corrects=12.00)<br>rappel=0.060precision=0.086f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=110.00,corrects=8.00)<br>rappel=0.040precision=0.073f-mesure=0.052 |
| -classe1940(attendus=198,ramenes=530.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.206 |
| -surl’ensembledes15classes<br>macrorappel=0.101macroprecision=0.092macroF-mesure=0.096 | | 1 |
| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |
| --- |
| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 |
| -classe1830(attendus=169,ramenes=547.00,corrects=52.00)<br>rappel=0.308precision=0.095f-mesure=0.145 |
| -classe1840(attendus=169,ramenes=89.00,corrects=8.00)<br>rappel=0.047precision=0.090f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=124.00,corrects=9.00)<br>rappel=0.053precision=0.073f-mesure=0.061 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-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=115.00,corrects=8.00)<br>rappel=0.041precision=0.070f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 | | | -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |
| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |
| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |
| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |
| --- |
| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 | | | -classe1830(attendus=169,ramenes=547.00,corrects=52.00)<br>rappel=0.308precision=0.095f-mesure=0.145 |
| --- |
| -classe1840(attendus=169,ramenes=89.00,corrects=8.00)<br>rappel=0.047precision=0.090f-mesure=0.062 |
| -classe1850(attendus=169,ramenes=124.00,corrects=9.00)<br>rappel=0.053precision=0.073f-mesure=0.061 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |
| -classe1870(attendus=169,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-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=115.00,corrects=8.00)<br>rappel=0.041precision=0.070f-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=139.00,corrects=12.00)<br>rappel=0.060precision=0.086f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=110.00,corrects=8.00)<br>rappel=0.040precision=0.073f-mesure=0.052 |
| -classe1940(attendus=198,ramenes=530.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.206 |
| -surl’ensembledes15classes<br>macrorappel=0.101macroprecision=0.092macroF-mesure=0.096 | | 1 |
| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |
| --- |
| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |
| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 | | | -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |
| --- |
| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |
| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |
| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |
| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| Model | VerbSim | SimLexverbs |
| --- | --- | --- |
| Bag-of-Words-10K | 0.385 | 0.085 |
| Single-10k | 0.561 | 0.090 |
| Joint-10k | 0.568 | 0.105 |
| Bag-of-Words-50K | 0.478 | 0.095 |
| Single-50k | 0.592 | 0.115 |
| Joint-50k | 0.592 | 0.105 |
| Bag-of-Words-100K | 0.488 | 0.114 | | | Single-100k | 0.587 | 0.132 |
| --- | --- | --- |
| Joint-100k | 0.607 | 0.114 | | 1 |
| Model | VerbSim | SimLexverbs |
| --- | --- | --- |
| Bag-of-Words-10K | 0.385 | 0.085 |
| Single-10k | 0.561 | 0.090 |
| Joint-10k | 0.568 | 0.105 |
| Bag-of-Words-50K | 0.478 | 0.095 |
| Single-50k | 0.592 | 0.115 |
| Joint-50k | 0.592 | 0.105 |
| Bag-of-Words-100K | 0.488 | 0.114 | | | Model | k=200 | k=300 | k=400 |
| --- | --- | --- | --- |
| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |
| Single-10k | 0.168 | 0.172 | 0.165 |
| Joint-10k | 0.190 | 0.177 | 0.181 |
| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |
| Single-50k | 0.218 | 0.228 | 0.222 |
| Joint-50k | 0.256 | 0.250 | 0.227 |
| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |
| Single-100k | 0.225 | 0.218 | 0.199 |
| Joint-100k | 0.283 | 0.256 | 0.222 | | 0 |
| Model | VerbSim | SimLexverbs |
| --- | --- | --- |
| Bag-of-Words-10K | 0.385 | 0.085 |
| Single-10k | 0.561 | 0.090 |
| Joint-10k | 0.568 | 0.105 |
| Bag-of-Words-50K | 0.478 | 0.095 |
| Single-50k | 0.592 | 0.115 |
| Joint-50k | 0.592 | 0.105 |
| Bag-of-Words-100K | 0.488 | 0.114 | | | Single-100k | 0.587 | 0.132 |
| --- | --- | --- |
| Joint-100k | 0.607 | 0.114 | | 1 |
| Model | VerbSim | SimLexverbs |
| --- | --- | --- |
| Bag-of-Words-10K | 0.385 | 0.085 |
| Single-10k | 0.561 | 0.090 |
| Joint-10k | 0.568 | 0.105 |
| Bag-of-Words-50K | 0.478 | 0.095 |
| Single-50k | 0.592 | 0.115 |
| Joint-50k | 0.592 | 0.105 |
| Bag-of-Words-100K | 0.488 | 0.114 | | | Joint-10k | 0.190 | 0.177 | 0.181 |
| --- | --- | --- | --- |
| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |
| Single-50k | 0.218 | 0.228 | 0.222 |
| Joint-50k | 0.256 | 0.250 | 0.227 |
| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |
| Single-100k | 0.225 | 0.218 | 0.199 |
| Joint-100k | 0.283 | 0.256 | 0.222 | | 0 |
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