premise string | hypothesis string | label int64 |
|---|---|---|
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 5.6e-09* | - | - | - | | | TermRetrieval | 1.2e-08* | 0.88 | - | - |
| --- | --- | --- | --- | --- |
| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |
| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 | | 1 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 5.6e-09* | - | - | - | | | | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - |
| neural-storyteller | 1e-56* | - | - | - |
| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |
| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |
| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 | | 0 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - | | | neural-storyteller | 5.6e-09* | - | - | - |
| --- | --- | --- | --- | --- |
| TermRetrieval | 1.2e-08* | 0.88 | - | - |
| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |
| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 | | 1 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |
| --- | --- | --- | --- | --- |
| CNN+RNN-coco | - | - | - | - | | | neural-storyteller | 1e-56* | - | - | - |
| --- | --- | --- | --- | --- |
| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |
| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |
| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 | | 0 |
| Threshold<br>domain | Training<br>Confirmed/Detected | Testing<br>Confirmed/Detected | Overall<br>Confirmed/Detected |
| --- | --- | --- | --- |
| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 | | | 0.37 | 17/32<br>0.52 | 67/105<br>0.63 | 75/114<br>0.65 |
| --- | --- | --- | --- |
| 0.41 | 13/15<br>0.86 | 62/79<br>0.78 | 68/86<br>0.79 |
| 0.45 | 10/12<br>0.83 | 59/67<br>0.88 | 64/73<br>0.87 | | 1 |
| Threshold<br>domain | Training<br>Confirmed/Detected | Testing<br>Confirmed/Detected | Overall<br>Confirmed/Detected |
| --- | --- | --- | --- |
| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 | | | Threshold<br>domain | Training<br>Confirmed/Detected | Testing<br>Confirmed/Detected | Overall<br>Confirmed/Detected |
| --- | --- | --- | --- |
| 0.33 | 101/190<br>0.53 | 60/147<br>0.40 | 131/273<br>0.48 |
| 0.5 | 66/118<br>0.56 | 46/92<br>0.5 | 92/174<br>0.53 |
| 0.65 | 61/107<br>0.57 | 46/83<br>0.55 | 87/157<br>0.55 |
| 0.85 | 47/78<br>0.6 | 46/74<br>0.62 | 73/119<br>0.61 | | 0 |
| Threshold<br>domain | Training<br>Confirmed/Detected | Testing<br>Confirmed/Detected | Overall<br>Confirmed/Detected |
| --- | --- | --- | --- |
| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 | | | 0.37 | 17/32<br>0.52 | 67/105<br>0.63 | 75/114<br>0.65 |
| --- | --- | --- | --- |
| 0.41 | 13/15<br>0.86 | 62/79<br>0.78 | 68/86<br>0.79 |
| 0.45 | 10/12<br>0.83 | 59/67<br>0.88 | 64/73<br>0.87 | | 1 |
| Threshold<br>domain | Training<br>Confirmed/Detected | Testing<br>Confirmed/Detected | Overall<br>Confirmed/Detected |
| --- | --- | --- | --- |
| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 | | | 0.65 | 61/107<br>0.57 | 46/83<br>0.55 | 87/157<br>0.55 |
| --- | --- | --- | --- |
| 0.85 | 47/78<br>0.6 | 46/74<br>0.62 | 73/119<br>0.61 | | 0 |
| ReorderBuffer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |
| --- | --- |
| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |
| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |
| L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |
| Memory<br>Controller | 2bufferschedulers/MC,<br>Read/WriteQueue:64/64 |
| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |
| Buffer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |
| DRAMParameters | | | | Memory | 264-bitChannels,2Ranks/Channel,<br>8devices/Rank,8sub-ranks/rank,<br>x8-widthsub-rank,1device/sub-rank |
| --- | --- |
| DRAMDevice | DDR3-1333MHz,x8,8banks,<br>32768Rows/bank,1024Columns/Row<br>8KBRowBufferperBank,BL=8,<br>Timeandpowerparametersfrom<br>Micron2GbSDRAM | | 1 |
| ReorderBuffer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |
| --- | --- |
| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |
| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |
| L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |
| Memory<br>Controller | 2bufferschedulers/MC,<br>Read/WriteQueue:64/64 |
| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |
| Buffer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |
| DRAMParameters | | | | SystemConfiguration | |
| --- | --- |
| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |
| MemorySubsystem | |
| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |
| 2-DMeshwithXYRouting | |
| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits | | 0 |
| ReorderBuffer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |
| --- | --- |
| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |
| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) | | | L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |
| --- | --- |
| Memory<br>Controller | 2bufferschedulers/MC,<br>Read/WriteQueue:64/64 |
| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |
| Buffer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |
| DRAMParameters | |
| Memory | 264-bitChannels,2Ranks/Channel,<br>8devices/Rank,8sub-ranks/rank,<br>x8-widthsub-rank,1device/sub-rank |
| DRAMDevice | DDR3-1333MHz,x8,8banks,<br>32768Rows/bank,1024Columns/Row<br>8KBRowBufferperBank,BL=8,<br>Timeandpowerparametersfrom<br>Micron2GbSDRAM | | 1 |
| ReorderBuffer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |
| --- | --- |
| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |
| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) | | | 2-DMeshwithXYRouting | |
| --- | --- |
| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits | | 0 |
| testcase | [A] | [B] | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | min. | mean | max. | min. | mean | max. | | | m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 |
| --- | --- | --- | --- | --- | --- | --- |
| m=24 | 0.0010 | 1.0710 | 3.8010 | 0.1610 | 0.8810 | 5.2910 |
| m=32 | 0.0010 | 0.8210 | 3.2310 | 0.1810 | 0.6310 | 3.1310 |
| m=48 | 0.0010 | 0.3110 | 1.1410 | 0.0610 | 0.3310 | 2.0710 |
| m=60 | 0.0010 | 0.2010 | 0.7010 | 0.0510 | 0.2610 | 1.5510 | | 1 |
| testcase | [A] | [B] | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | min. | mean | max. | min. | mean | max. | | | testcase | [A] | [B] | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | min. | mean | max. | min. | mean | max. |
| m=16 | 1.000 | 1.4708 | 1.8248 | 1.000 | 1.3185 | 2.0239 |
| m=24 | 1.000 | 1.9088 | 2.8926 | 1.000 | 1.3187 | 2.6559 |
| m=32 | 1.000 | 1.7273 | 2.7441 | 1.000 | 1.3679 | 2.4393 |
| m=48 | 1.000 | 1.5386 | 2.0232 | 1.000 | 1.3051 | 1.9371 |
| m=60 | 1.000 | 1.5096 | 1.9333 | 1.000 | 1.3447 | 1.8922 | | 0 |
| testcase | [A] | [B] | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | min. | mean | max. | min. | mean | max. |
| m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 | | | m=24 | 0.0010 | 1.0710 | 3.8010 | 0.1610 | 0.8810 | 5.2910 |
| --- | --- | --- | --- | --- | --- | --- |
| m=32 | 0.0010 | 0.8210 | 3.2310 | 0.1810 | 0.6310 | 3.1310 |
| m=48 | 0.0010 | 0.3110 | 1.1410 | 0.0610 | 0.3310 | 2.0710 |
| m=60 | 0.0010 | 0.2010 | 0.7010 | 0.0510 | 0.2610 | 1.5510 | | 1 |
| testcase | [A] | [B] | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | min. | mean | max. | min. | mean | max. |
| m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 | | | m=48 | 1.000 | 1.5386 | 2.0232 | 1.000 | 1.3051 | 1.9371 |
| --- | --- | --- | --- | --- | --- | --- |
| m=60 | 1.000 | 1.5096 | 1.9333 | 1.000 | 1.3447 | 1.8922 | | 0 |
| Evaluationprotocol | IC13Eval | DetEval | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | R | P | F | R | P | F |
| fasttext | 0.69 | 0.84 | 0.77 | – | – | – | | | MMser | 0.70 | 0.86 | 0.77 | – | – | – |
| --- | --- | --- | --- | --- | --- | --- |
| Luetal. | 0.70 | 0.89 | 0.78 | – | – | – |
| TextFlow | 0.76 | 0.85 | 0.80 | – | – | – |
| Heetal. | 0.76 | 0.85 | 0.80 | – | – | – |
| Heetal. | 0.73 | 0.93 | 0.82 | – | – | – |
| FCRNall+filts | – | – | – | 0.76 | 0.92 | 0.83 |
| FCN | 0.78 | 0.88 | 0.83 | – | – | – |
| Tianetal | 0.84 | 0.84 | 0.84 | – | – | – |
| Qinetal. | 0.79 | 0.89 | 0.83 | – | – | – |
| Shietal. | – | – | – | 0.83 | 0.88 | 0.85 |
| Tianetal. | – | – | – | 0.83 | 0.93 | 0.88 |
| Tangetal. | 0.87 | 0.92 | 0.90 | – | – | – |
| SSD | 0.60 | 0.80 | 0.68 | 0.60 | 0.80 | 0.69 |
| TextBoxes | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |
| TextBoxesMS | 0.83 | 0.88 | 0.85 | 0.83 | 0.89 | 0.86 |
| TextBoxes++ | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |
| TextBoxes++MS | 0.84 | 0.91 | 0.88 | 0.86 | 0.92 | 0.89 | | 1 |
| Evaluationprotocol | IC13Eval | DetEval | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | R | P | F | R | P | F |
| fasttext | 0.69 | 0.84 | 0.77 | – | – | – | | | Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed | 0.88 | 0.78 | 0.83 |
| Zhangetal. | 0.88 | 0.74 | 0.80 |
| Tianetal. | 0.85 | 0.76 | 0.80 |
| Luetal. | 0.89 | 0.70 | 0.78 |
| iwrr2014 | 0.86 | 0.70 | 0.77 |
| USTBTexStar | 0.88 | 0.66 | 0.76 |
| TextSpotter | 0.88 | 0.65 | 0.74 |
| Yinetal. | 0.84 | 0.65 | 0.73 |
| CASIANLPR | 0.79 | 0.68 | 0.73 |
| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |
| I2RNUSFAR | 0.75 | 0.69 | 0.72 |
| I2RNUS | 0.73 | 0.66 | 0.69 |
| TH-TextLoc | 0.70 | 0.65 | 0.67 | | 0 |
| Evaluationprotocol | IC13Eval | DetEval | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | R | P | F | R | P | F |
| fasttext | 0.69 | 0.84 | 0.77 | – | – | – |
| MMser | 0.70 | 0.86 | 0.77 | – | – | – |
| Luetal. | 0.70 | 0.89 | 0.78 | – | – | – |
| TextFlow | 0.76 | 0.85 | 0.80 | – | – | – |
| Heetal. | 0.76 | 0.85 | 0.80 | – | – | – |
| Heetal. | 0.73 | 0.93 | 0.82 | – | – | – |
| FCRNall+filts | – | – | – | 0.76 | 0.92 | 0.83 |
| FCN | 0.78 | 0.88 | 0.83 | – | – | – |
| Tianetal | 0.84 | 0.84 | 0.84 | – | – | – |
| Qinetal. | 0.79 | 0.89 | 0.83 | – | – | – |
| Shietal. | – | – | – | 0.83 | 0.88 | 0.85 |
| Tianetal. | – | – | – | 0.83 | 0.93 | 0.88 |
| Tangetal. | 0.87 | 0.92 | 0.90 | – | – | – |
| SSD | 0.60 | 0.80 | 0.68 | 0.60 | 0.80 | 0.69 |
| TextBoxes | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |
| TextBoxesMS | 0.83 | 0.88 | 0.85 | 0.83 | 0.89 | 0.86 | | | TextBoxes++ | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |
| --- | --- | --- | --- | --- | --- | --- |
| TextBoxes++MS | 0.84 | 0.91 | 0.88 | 0.86 | 0.92 | 0.89 | | 1 |
| Evaluationprotocol | IC13Eval | DetEval | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Methods | R | P | F | R | P | F |
| fasttext | 0.69 | 0.84 | 0.77 | – | – | – |
| MMser | 0.70 | 0.86 | 0.77 | – | – | – |
| Luetal. | 0.70 | 0.89 | 0.78 | – | – | – |
| TextFlow | 0.76 | 0.85 | 0.80 | – | – | – |
| Heetal. | 0.76 | 0.85 | 0.80 | – | – | – |
| Heetal. | 0.73 | 0.93 | 0.82 | – | – | – |
| FCRNall+filts | – | – | – | 0.76 | 0.92 | 0.83 |
| FCN | 0.78 | 0.88 | 0.83 | – | – | – |
| Tianetal | 0.84 | 0.84 | 0.84 | – | – | – |
| Qinetal. | 0.79 | 0.89 | 0.83 | – | – | – |
| Shietal. | – | – | – | 0.83 | 0.88 | 0.85 |
| Tianetal. | – | – | – | 0.83 | 0.93 | 0.88 |
| Tangetal. | 0.87 | 0.92 | 0.90 | – | – | – |
| SSD | 0.60 | 0.80 | 0.68 | 0.60 | 0.80 | 0.69 |
| TextBoxes | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |
| TextBoxesMS | 0.83 | 0.88 | 0.85 | 0.83 | 0.89 | 0.86 | | | Tianetal. | 0.85 | 0.76 | 0.80 |
| --- | --- | --- | --- |
| Luetal. | 0.89 | 0.70 | 0.78 |
| iwrr2014 | 0.86 | 0.70 | 0.77 |
| USTBTexStar | 0.88 | 0.66 | 0.76 |
| TextSpotter | 0.88 | 0.65 | 0.74 |
| Yinetal. | 0.84 | 0.65 | 0.73 |
| CASIANLPR | 0.79 | 0.68 | 0.73 |
| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |
| I2RNUSFAR | 0.75 | 0.69 | 0.72 |
| I2RNUS | 0.73 | 0.66 | 0.69 |
| TH-TextLoc | 0.70 | 0.65 | 0.67 | | 0 |
| London | Manchester | Birmingham | Leeds |
| --- | --- | --- | --- |
| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |
| sleep(369) | government(612) | disabled(663) | eu(594) | | | trending(337) | tory(572) | extremely(654) | leaving(570) |
| --- | --- | --- | --- |
| ff(316) | nhs(506) | inclusion(654) | nhs(539) |
| topic(304) | eu(493) | wwfc(518) | ref(520) |
| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |
| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |
| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) |
| awards(-472) | gt(-564) | art(-692) | council(-564) |
| greater(-818) | mufc(-606) | blues(-700) | bradford(-586) | | 1 |
| London | Manchester | Birmingham | Leeds |
| --- | --- | --- | --- |
| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |
| sleep(369) | government(612) | disabled(663) | eu(594) | | | Region | si | Region | Pi |
| --- | --- | --- | --- |
| Newcastle | -0.0116(8) | Manchester | -0.0108(3) |
| Nottingham | -0.0059(5) | Newcastle | -0.0049(7) |
| Manchester | 0.0012(4) | Norwich | -0.0023(8) |
| Leeds | 0.0036(5) | Leeds | -0.0006(4) |
| London | 0.0072(2) | Nottingham | -0.0006(5) |
| Birmingham | 0.0130(5) | Bristol | 0.0014(4) |
| Cardiff | 0.0145(6) | Birmingham | 0.0038(4) |
| Bristol | 0.0145(6) | Cardiff | 0.0038(6) |
| Norwich | 0.0180(11) | London | 0.0042(2) | | 0 |
| London | Manchester | Birmingham | Leeds |
| --- | --- | --- | --- |
| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |
| sleep(369) | government(612) | disabled(663) | eu(594) |
| trending(337) | tory(572) | extremely(654) | leaving(570) |
| ff(316) | nhs(506) | inclusion(654) | nhs(539) |
| topic(304) | eu(493) | wwfc(518) | ref(520) |
| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |
| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |
| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) | | | awards(-472) | gt(-564) | art(-692) | council(-564) |
| --- | --- | --- | --- |
| greater(-818) | mufc(-606) | blues(-700) | bradford(-586) | | 1 |
| London | Manchester | Birmingham | Leeds |
| --- | --- | --- | --- |
| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |
| sleep(369) | government(612) | disabled(663) | eu(594) |
| trending(337) | tory(572) | extremely(654) | leaving(570) |
| ff(316) | nhs(506) | inclusion(654) | nhs(539) |
| topic(304) | eu(493) | wwfc(518) | ref(520) |
| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |
| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |
| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) | | | Cardiff | 0.0145(6) | Birmingham | 0.0038(4) |
| --- | --- | --- | --- |
| Bristol | 0.0145(6) | Cardiff | 0.0038(6) |
| Norwich | 0.0180(11) | London | 0.0042(2) | | 0 |
| | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | Method | | | | | | | | |
| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 | | | BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | |
| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |
| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 | | 1 |
| | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | Method | | | | | | | | |
| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 | | | Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |
| --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |
| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |
| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 | | 0 |
| | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | Method | | | | | | | | | | | TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |
| | | | | | | | | | |
| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |
| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 | | 1 |
| | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | Method | | | | | | | | | | | Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |
| --- | --- | --- | --- | --- | --- |
| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 | | 0 |
| testset | | | |
| --- | --- | --- | --- |
| model | comp-g | soap | docu-i |
| Mediargus | 28.2 | 79.7 | 38.1 | | | CGN | 35.1 | 76.8 | 42.8 |
| --- | --- | --- | --- |
| VRTall | 30.8 | 75.0 | 39.1 | | 1 |
| testset | | | |
| --- | --- | --- | --- |
| model | comp-g | soap | docu-i |
| Mediargus | 28.2 | 79.7 | 38.1 | | | testset | | | |
| --- | --- | --- | --- |
| optimizedon | comp-g | soap | docu-i |
| comp-g-dev | 26.3 | 76.4 | 34.7 |
| soap-dev | 27.9 | 75.2 | 36.7 |
| docu-i-dev | 27.1 | 74.5 | 36.3 | | 0 |
| testset | | | |
| --- | --- | --- | --- |
| model | comp-g | soap | docu-i |
| Mediargus | 28.2 | 79.7 | 38.1 | | | CGN | 35.1 | 76.8 | 42.8 |
| --- | --- | --- | --- |
| VRTall | 30.8 | 75.0 | 39.1 | | 1 |
| testset | | | |
| --- | --- | --- | --- |
| model | comp-g | soap | docu-i |
| Mediargus | 28.2 | 79.7 | 38.1 | | | comp-g-dev | 26.3 | 76.4 | 34.7 |
| --- | --- | --- | --- |
| soap-dev | 27.9 | 75.2 | 36.7 |
| docu-i-dev | 27.1 | 74.5 | 36.3 | | 0 |
| λ | Sims<br>JIQ-SQ(2) | Diff<br>Equations | JIQ-<br>Random |
| --- | --- | --- | --- |
| 0.50 | 1.01029 | 1.01033 | 1.12886 |
| 0.60 | 1.02377 | 1.02379 | 1.17987 |
| 0.70 | 1.05558 | 1.05557 | 1.25888 |
| 0.80 | 1.14044 | 1.14027 | 1.40787 |
| 0.90 | 1.46106 | 1.46035 | 1.83712 |
| 0.95 | 2.19241 | 2.19045 | 2.68138 |
| 0.96 | 2.57696 | 2.57420 | 3.10314 | | | 0.97 | 3.23186 | 3.22894 | 3.80509 |
| --- | --- | --- | --- |
| 0.98 | 4.57810 | 4.57186 | 5.20555 |
| 0.99 | 8.71553 | 8.70009 | 9.40217 | | 1 |
| λ | Sims<br>JIQ-SQ(2) | Diff<br>Equations | JIQ-<br>Random |
| --- | --- | --- | --- |
| 0.50 | 1.01029 | 1.01033 | 1.12886 |
| 0.60 | 1.02377 | 1.02379 | 1.17987 |
| 0.70 | 1.05558 | 1.05557 | 1.25888 |
| 0.80 | 1.14044 | 1.14027 | 1.40787 |
| 0.90 | 1.46106 | 1.46035 | 1.83712 |
| 0.95 | 2.19241 | 2.19045 | 2.68138 |
| 0.96 | 2.57696 | 2.57420 | 3.10314 | | | λ | Sims<br>z=1 | Diff<br>Equations | JIQ-<br>Random |
| --- | --- | --- | --- |
| 0.50 | 1.19356 | 1.19369 | 1.12886 |
| 0.60 | 1.28239 | 1.28254 | 1.17987 |
| 0.70 | 1.40813 | 1.40828 | 1.25888 |
| 0.80 | 1.59780 | 1.59796 | 1.40787 |
| 0.90 | 1.94387 | 1.94377 | 1.83712 |
| 0.95 | 2.33613 | 2.33539 | 2.68138 |
| 0.96 | 2.48165 | 2.48041 | 3.10314 |
| 0.97 | 2.69113 | 2.68903 | 3.80509 |
| 0.98 | 3.04536 | 3.04146 | 5.20555 |
| 0.99 | 3.91664 | 3.90627 | 9.40217 | | 0 |
| λ | Sims<br>JIQ-SQ(2) | Diff<br>Equations | JIQ-<br>Random |
| --- | --- | --- | --- |
| 0.50 | 1.01029 | 1.01033 | 1.12886 |
| 0.60 | 1.02377 | 1.02379 | 1.17987 |
| 0.70 | 1.05558 | 1.05557 | 1.25888 |
| 0.80 | 1.14044 | 1.14027 | 1.40787 | | | 0.90 | 1.46106 | 1.46035 | 1.83712 |
| --- | --- | --- | --- |
| 0.95 | 2.19241 | 2.19045 | 2.68138 |
| 0.96 | 2.57696 | 2.57420 | 3.10314 |
| 0.97 | 3.23186 | 3.22894 | 3.80509 |
| 0.98 | 4.57810 | 4.57186 | 5.20555 |
| 0.99 | 8.71553 | 8.70009 | 9.40217 | | 1 |
| λ | Sims<br>JIQ-SQ(2) | Diff<br>Equations | JIQ-<br>Random |
| --- | --- | --- | --- |
| 0.50 | 1.01029 | 1.01033 | 1.12886 |
| 0.60 | 1.02377 | 1.02379 | 1.17987 |
| 0.70 | 1.05558 | 1.05557 | 1.25888 |
| 0.80 | 1.14044 | 1.14027 | 1.40787 | | | 0.98 | 3.04536 | 3.04146 | 5.20555 |
| --- | --- | --- | --- |
| 0.99 | 3.91664 | 3.90627 | 9.40217 | | 0 |
| | Branching | GameLength |
| --- | --- | --- |
| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |
| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |
| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |
| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |
| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |
| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |
| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 | | | 12x12-3base | 546.751.60×104.98×10 | 804.00135.3 |
| --- | --- | --- |
| 12x12-4base | 15330.001.08×108.07×10 | 777.80126.13 | | 1 |
| | Branching | GameLength |
| --- | --- | --- |
| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |
| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |
| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |
| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |
| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |
| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |
| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 | | | | 321×481pixelimages | | | | |
| --- | --- | --- | --- | --- | --- |
| | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |
| SIFT | 0.039 | 0.017 | 25 | 59 | - |
| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |
| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |
| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |
| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |
| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 | | 0 |
| | Branching | GameLength |
| --- | --- | --- |
| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |
| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |
| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |
| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |
| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |
| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |
| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 | | | 12x12-3base | 546.751.60×104.98×10 | 804.00135.3 |
| --- | --- | --- |
| 12x12-4base | 15330.001.08×108.07×10 | 777.80126.13 | | 1 |
| | Branching | GameLength |
| --- | --- | --- |
| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |
| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |
| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |
| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |
| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |
| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |
| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 | | | full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |
| --- | --- | --- | --- | --- | --- |
| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |
| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 | | 0 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |
| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |
| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 | | | dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |
| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 | | 1 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |
| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |
| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 | | | Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |
| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |
| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |
| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |
| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |
| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 | | 0 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 | | | dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 |
| dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |
| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |
| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 | | 1 |
| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 | | | leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 | | 0 |
| 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 | | 1 |
| Layer | LayerType | Size | OutputShape |
| --- | --- | --- | --- |
| 1 | Convolution+Maxout | 488×8filters | |
| 1 | MaxPooling | 4×4,stride2 | (48,10,10) | | | Layer | Units | Filters | FilterSize | PoolSize | Activation |
| --- | --- | --- | --- | --- | --- |
| 1-input | - | - | - | - | - |
| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |
| 3-maxpool-1 | - | - | - | 2x2 | - |
| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |
| 5-maxpool-2 | - | - | - | 2x2 | - |
| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |
| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid | | 0 |
| 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 | | 1 |
| Layer | LayerType | Size | OutputShape |
| --- | --- | --- | --- |
| 1 | Convolution+Maxout | 488×8filters | |
| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |
| 2 | Convolution+Maxout | 488×8filters | | | | 5-maxpool-2 | - | - | - | 2x2 | - |
| --- | --- | --- | --- | --- | --- |
| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |
| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid | | 0 |
| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |
| --- | --- | --- | --- |
| DatabaseFrames | 1,000 | 4,000 | 4,000 |
| DatabaseMarkers | 5,000 | 20,000 | 20,000 |
| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |
| BadMarkerFrames | - | 800 | 800 |
| TotalBadMarkers | - | 800 | 800 |
| CorrectTracked | - | 23 | 127 |
| Percentage | 100 | 2.88 | 15.87 |
| MissingStart | 100 | 400 | 400 |
| TotalMarkers | 500 | 2,000 | 2,000 |
| CorrectTracked | 500 | 35 | 59 |
| Percentage | 100 | 1.75 | 2.95 |
| PartitiallyOccluded | 30 | 250 | 250 |
| TotalMarkers | 150 | 1,250 | 1,250 |
| CorrectTracked | 150 | 10 | 217 |
| Percentage | 100 | 0.8 | 17.36 |
| Occlused | 50 | 300 | 300 |
| TotalMarkers | 250 | 1,500 | 1,500 |
| CorrectTracked | 250 | 10 | 217 |
| Percentage | 100 | 0.67 | 14.47 |
| PerfectConsecutive | 450 | 1,300 | 1,300 |
| TotalMarkers | 2,250 | 6,500 | 6,500 |
| CorrectTracked | 2,250 | 6,377 | 6,494 |
| Percentage | 100 | 98.11 | 99.90 |
| TotalFrames | 900 | 3,600 | 3,600 |
| TotalMarkers | 4,500 | 18,000 | 18,000 | | | CorrectTracked | 4,500 | 10,891 | 14,237 |
| --- | --- | --- | --- |
| Percentage | 100 | 60.50 | 79.09 | | 1 |
| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |
| --- | --- | --- | --- |
| DatabaseFrames | 1,000 | 4,000 | 4,000 |
| DatabaseMarkers | 5,000 | 20,000 | 20,000 |
| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |
| BadMarkerFrames | - | 800 | 800 |
| TotalBadMarkers | - | 800 | 800 |
| CorrectTracked | - | 23 | 127 |
| Percentage | 100 | 2.88 | 15.87 |
| MissingStart | 100 | 400 | 400 |
| TotalMarkers | 500 | 2,000 | 2,000 |
| CorrectTracked | 500 | 35 | 59 |
| Percentage | 100 | 1.75 | 2.95 |
| PartitiallyOccluded | 30 | 250 | 250 |
| TotalMarkers | 150 | 1,250 | 1,250 |
| CorrectTracked | 150 | 10 | 217 |
| Percentage | 100 | 0.8 | 17.36 |
| Occlused | 50 | 300 | 300 |
| TotalMarkers | 250 | 1,500 | 1,500 |
| CorrectTracked | 250 | 10 | 217 |
| Percentage | 100 | 0.67 | 14.47 |
| PerfectConsecutive | 450 | 1,300 | 1,300 |
| TotalMarkers | 2,250 | 6,500 | 6,500 |
| CorrectTracked | 2,250 | 6,377 | 6,494 |
| Percentage | 100 | 98.11 | 99.90 |
| TotalFrames | 900 | 3,600 | 3,600 |
| TotalMarkers | 4,500 | 18,000 | 18,000 | | | OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |
| --- | --- | --- | --- |
| 7216 | 340 | 1168 | 1.26s |
| 4476 | 519 | 989 | 72.31s |
| 5428 | 447 | 1061 | 63.27s |
| 5558 | 329 | 1508 | 89.96s |
| 5121 | 253 | 1179 | 59.97s |
| 7501 | 470 | 1038 | 60.39s |
| 10110 | 162 | 1346 | 72.69s |
| 9515 | 404 | 1104 | 55.89s |
| 8746 | 284 | 1224 | 81.74s |
| 9133 | 301 | 1207 | 60.51s |
| 10328 | 420 | 1088 | 72.13s |
| 8931 | 319 | 1189 | 291.10s | | 0 |
| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |
| --- | --- | --- | --- |
| DatabaseFrames | 1,000 | 4,000 | 4,000 |
| DatabaseMarkers | 5,000 | 20,000 | 20,000 |
| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |
| BadMarkerFrames | - | 800 | 800 |
| TotalBadMarkers | - | 800 | 800 |
| CorrectTracked | - | 23 | 127 |
| Percentage | 100 | 2.88 | 15.87 |
| MissingStart | 100 | 400 | 400 | | | TotalMarkers | 500 | 2,000 | 2,000 |
| --- | --- | --- | --- |
| CorrectTracked | 500 | 35 | 59 |
| Percentage | 100 | 1.75 | 2.95 |
| PartitiallyOccluded | 30 | 250 | 250 |
| TotalMarkers | 150 | 1,250 | 1,250 |
| CorrectTracked | 150 | 10 | 217 |
| Percentage | 100 | 0.8 | 17.36 |
| Occlused | 50 | 300 | 300 |
| TotalMarkers | 250 | 1,500 | 1,500 |
| CorrectTracked | 250 | 10 | 217 |
| Percentage | 100 | 0.67 | 14.47 |
| PerfectConsecutive | 450 | 1,300 | 1,300 |
| TotalMarkers | 2,250 | 6,500 | 6,500 |
| CorrectTracked | 2,250 | 6,377 | 6,494 |
| Percentage | 100 | 98.11 | 99.90 |
| TotalFrames | 900 | 3,600 | 3,600 |
| TotalMarkers | 4,500 | 18,000 | 18,000 |
| CorrectTracked | 4,500 | 10,891 | 14,237 |
| Percentage | 100 | 60.50 | 79.09 | | 1 |
| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |
| --- | --- | --- | --- |
| DatabaseFrames | 1,000 | 4,000 | 4,000 |
| DatabaseMarkers | 5,000 | 20,000 | 20,000 |
| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |
| BadMarkerFrames | - | 800 | 800 |
| TotalBadMarkers | - | 800 | 800 |
| CorrectTracked | - | 23 | 127 |
| Percentage | 100 | 2.88 | 15.87 |
| MissingStart | 100 | 400 | 400 | | | 5428 | 447 | 1061 | 63.27s |
| --- | --- | --- | --- |
| 5558 | 329 | 1508 | 89.96s |
| 5121 | 253 | 1179 | 59.97s |
| 7501 | 470 | 1038 | 60.39s |
| 10110 | 162 | 1346 | 72.69s |
| 9515 | 404 | 1104 | 55.89s |
| 8746 | 284 | 1224 | 81.74s |
| 9133 | 301 | 1207 | 60.51s |
| 10328 | 420 | 1088 | 72.13s |
| 8931 | 319 | 1189 | 291.10s | | 0 |
| Graph | \|C\| | Time | TS | TR |
| --- | --- | --- | --- | --- |
| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |
| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |
| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |
| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |
| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |
| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |
| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |
| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |
| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |
| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 | | | phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |
| --- | --- | --- | --- | --- |
| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |
| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |
| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |
| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |
| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |
| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |
| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |
| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |
| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 |
| frb30-15-1.mis | 8,192 | 1.9hrs | 29,110 | 45,685 |
| frb30-15-1.mis | 16,384 | 55.1min | 28,707 | 59,978 |
| frb30-15-1.mis | 32,768 | 28.8min | 30,008 | 96,438 |
| frb30-15-1.mis | 65,536 | 16.8min | 25,359 | 158,371 |
| frb30-15-1.mis | 131,072 | 11.1min | 19,419 | 312,430 |
| 60-cell | 128 | 14.3hrs | 19 | 26 |
| 60-cell | 256 | 7.3hrs | 23 | 23 |
| 60-cell | 512 | 3.7hrs | 1,091 | 1,388 |
| 60-cell | 1,024 | 45.1min | 1,397 | 1,940 |
| 60-cell | 2,048 | 11.3min | 1,331 | 2,430 |
| 60-cell | 4,096 | 2.8min | 949 | 3,094 | | 1 |
| Graph | \|C\| | Time | TS | TR |
| --- | --- | --- | --- | --- |
| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |
| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |
| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |
| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |
| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |
| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |
| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |
| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |
| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |
| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 | | | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| k | l | \|e\| | \|e\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |
| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |
| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |
| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |
| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |
| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 | | 0 |
| Graph | \|C\| | Time | TS | TR |
| --- | --- | --- | --- | --- |
| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |
| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |
| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |
| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |
| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |
| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |
| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |
| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |
| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |
| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |
| phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |
| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |
| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |
| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |
| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |
| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |
| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |
| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |
| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |
| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 | | | frb30-15-1.mis | 8,192 | 1.9hrs | 29,110 | 45,685 |
| --- | --- | --- | --- | --- |
| frb30-15-1.mis | 16,384 | 55.1min | 28,707 | 59,978 |
| frb30-15-1.mis | 32,768 | 28.8min | 30,008 | 96,438 |
| frb30-15-1.mis | 65,536 | 16.8min | 25,359 | 158,371 |
| frb30-15-1.mis | 131,072 | 11.1min | 19,419 | 312,430 |
| 60-cell | 128 | 14.3hrs | 19 | 26 |
| 60-cell | 256 | 7.3hrs | 23 | 23 |
| 60-cell | 512 | 3.7hrs | 1,091 | 1,388 |
| 60-cell | 1,024 | 45.1min | 1,397 | 1,940 |
| 60-cell | 2,048 | 11.3min | 1,331 | 2,430 |
| 60-cell | 4,096 | 2.8min | 949 | 3,094 | | 1 |
| Graph | \|C\| | Time | TS | TR |
| --- | --- | --- | --- | --- |
| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |
| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |
| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |
| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |
| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |
| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |
| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |
| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |
| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |
| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |
| phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |
| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |
| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |
| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |
| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |
| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |
| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |
| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |
| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |
| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 | | | 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 | | 0 |
| LM | #succ<br>words | dev | eval | | |
| --- | --- | --- | --- | --- | --- |
| Vit | CN | Vit | CN | | |
| ng4 | | 25.00 | 24.19 | 25.19 | 24.44 | | | +uni-rnn | | 23.11 | 22.33 | 22.95 | 22.30 |
| --- | --- | --- | --- | --- | --- |
| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 | | 1 |
| LM | #succ<br>words | dev | eval | | |
| --- | --- | --- | --- | --- | --- |
| Vit | CN | Vit | CN | | |
| ng4 | | 25.00 | 24.19 | 25.19 | 24.44 | | | LM | #succ<br>words | dev | eval | | |
| --- | --- | --- | --- | --- | --- |
| Vit | CN | Vit | CN | | |
| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |
| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |
| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 | | 0 |
| LM | #succ<br>words | dev | eval |
| --- | --- | --- | --- |
| Vit | CN | Vit | CN | | | ng4 | | 25.00 | 24.19 | 25.19 | 24.44 |
| --- | --- | --- | --- | --- | --- |
| +uni-rnn | | 23.11 | 22.33 | 22.95 | 22.30 |
| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 | | 1 |
| LM | #succ<br>words | dev | eval |
| --- | --- | --- | --- |
| Vit | CN | Vit | CN | | | ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |
| --- | --- | --- | --- | --- | --- |
| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |
| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 | | 0 |
| DATASET | KNN | SVM | RandomForest |
| --- | --- | --- | --- |
| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |
| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |
| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) | | | debate | 40.6(±1.5) | 23.7(±19.8) | 42.6(±1.7) |
| --- | --- | --- | --- |
| sentistrengthrw | 37.3(±5.0) | 17.3(±14.6) | 34.6(±1.8) | | 1 |
| DATASET | KNN | SVM | RandomForest |
| --- | --- | --- | --- |
| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |
| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |
| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) | | | #Concordants | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |
| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |
| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |
| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |
| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |
| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |
| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |
| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |
| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |
| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |
| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |
| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |
| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 | | 0 |
| DATASET | KNN | SVM | RandomForest |
| --- | --- | --- | --- |
| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |
| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |
| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) | | | debate | 40.6(±1.5) | 23.7(±19.8) | 42.6(±1.7) |
| --- | --- | --- | --- |
| sentistrengthrw | 37.3(±5.0) | 17.3(±14.6) | 34.6(±1.8) | | 1 |
| DATASET | KNN | SVM | RandomForest |
| --- | --- | --- | --- |
| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |
| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |
| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) | | | englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |
| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |
| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |
| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |
| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |
| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |
| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |
| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |
| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |
| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |
| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |
| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 | | 0 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F | P | R |
| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |
| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 | | | 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |
| --- | --- | --- | --- | --- |
| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 | | 1 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F | P | R |
| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |
| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 | | | cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F | P | R |
| 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |
| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |
| 0.410 | 0.093 | 0.151 | 0.393 | 0.053 |
| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 | | 0 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F | P | R |
| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |
| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 | | | 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |
| --- | --- | --- | --- | --- |
| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 | | 1 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F | P | R |
| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |
| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 | | | 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |
| --- | --- | --- | --- | --- |
| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |
| 0.410 | 0.093 | 0.151 | 0.393 | 0.053 |
| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 | | 0 |
| Debatepediaextendeddataset | | |
| --- | --- | --- |
| Topic | #argum | #pairs |
| Violentgames/aggressiveness | 17 | 23 |
| Chinaone-childpolicy | 11 | 14 |
| Considercocaasanarcotic | 17 | 22 |
| Childbeautycontests | 13 | 17 |
| ArmingLibyanrebels | 13 | 15 |
| Randomalcoholbreathtests | 11 | 14 |
| Osamadeathphoto | 22 | 24 |
| Privatizingsocialsecurity | 12 | 13 |
| Internetaccessasaright | 15 | 17 |
| Groundzeromosque | 11 | 12 |
| Mandatorymilitaryservice | 15 | 17 |
| NoflyzoneoverLibya | 18 | 19 |
| Airportsecurityprofiling | 12 | 13 |
| Solarenergy | 18 | 19 |
| Naturalgasvehicles | 16 | 17 |
| Useofcellphones/driving | 16 | 16 | | | Marijuanalegalization | 23 | 25 |
| --- | --- | --- |
| Gaymarriageasaright | 10 | 10 |
| Vegetarianism | 14 | 13 |
| TOTAL | 310 | 320 | | 1 |
| Debatepediaextendeddataset | | |
| --- | --- | --- |
| Topic | #argum | #pairs |
| Violentgames/aggressiveness | 17 | 23 |
| Chinaone-childpolicy | 11 | 14 |
| Considercocaasanarcotic | 17 | 22 |
| Childbeautycontests | 13 | 17 |
| ArmingLibyanrebels | 13 | 15 |
| Randomalcoholbreathtests | 11 | 14 |
| Osamadeathphoto | 22 | 24 |
| Privatizingsocialsecurity | 12 | 13 |
| Internetaccessasaright | 15 | 17 |
| Groundzeromosque | 11 | 12 |
| Mandatorymilitaryservice | 15 | 17 |
| NoflyzoneoverLibya | 18 | 19 |
| Airportsecurityprofiling | 12 | 13 |
| Solarenergy | 18 | 19 |
| Naturalgasvehicles | 16 | 17 |
| Useofcellphones/driving | 16 | 16 | | | Portalcategories | Numberofportals |
| --- | --- |
| Statistics | 1 |
| Representations | 2 |
| PeriphericalOffices | 6 |
| Certifications | 4 |
| PropertyRegisterOffices | 3 |
| SocialSecurity | 9 |
| ForeignRelations | 4 |
| RelationsAbroad | 6 |
| Defense | 1 |
| Justice | 10 |
| Criminality | 6 |
| InternalSecurity | 6 |
| PublicAssistance | 5 |
| HealthServices | 6 |
| Education | 3 |
| Environment | 8 |
| CulturalGoods | 10 |
| Employment | 9 |
| Farms | 3 |
| IndustrialCompanies | 9 |
| Transportations | 10 | | 0 |
| Debatepediaextendeddataset | | |
| --- | --- | --- |
| Topic | #argum | #pairs | | | Violentgames/aggressiveness | 17 | 23 |
| --- | --- | --- |
| Chinaone-childpolicy | 11 | 14 |
| Considercocaasanarcotic | 17 | 22 |
| Childbeautycontests | 13 | 17 |
| ArmingLibyanrebels | 13 | 15 |
| Randomalcoholbreathtests | 11 | 14 |
| Osamadeathphoto | 22 | 24 |
| Privatizingsocialsecurity | 12 | 13 |
| Internetaccessasaright | 15 | 17 |
| Groundzeromosque | 11 | 12 |
| Mandatorymilitaryservice | 15 | 17 |
| NoflyzoneoverLibya | 18 | 19 |
| Airportsecurityprofiling | 12 | 13 |
| Solarenergy | 18 | 19 |
| Naturalgasvehicles | 16 | 17 |
| Useofcellphones/driving | 16 | 16 |
| Marijuanalegalization | 23 | 25 |
| Gaymarriageasaright | 10 | 10 |
| Vegetarianism | 14 | 13 |
| TOTAL | 310 | 320 | | 1 |
| Debatepediaextendeddataset | | |
| --- | --- | --- |
| Topic | #argum | #pairs | | | HealthServices | 6 |
| --- | --- |
| Education | 3 |
| Environment | 8 |
| CulturalGoods | 10 |
| Employment | 9 |
| Farms | 3 |
| IndustrialCompanies | 9 |
| Transportations | 10 | | 0 |
| n | Gfan | Pruning |
| --- | --- | --- |
| 3 | 0.036 | 0.12 |
| 4 | 0.23 | 0.25 | | | 5 | 2.03 | 0.80 |
| --- | --- | --- |
| 6 | 23.49 | 10.73 |
| 7 | 299.32 | 49.53 |
| 8 | 3,764.83 | 540.32 | | 1 |
| n | Gfan | Pruning |
| --- | --- | --- |
| 3 | 0.036 | 0.12 |
| 4 | 0.23 | 0.25 | | | n | Definitional | Pruning | #Pretropisms | MixedVolume |
| --- | --- | --- | --- | --- |
| 3 | 0.008 | 0.20 | 7 | 319 |
| 4 | 0.11 | 0.42 | 18 | 7,384 |
| 5 | 1.33 | 0.76 | 58 | 152,054 |
| 6 | 13.03 | 2.75 | 171 | 4,305,758 |
| 7 | 243.88 | 20.17 | 614 | 91,381,325 |
| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 | | 0 |
| n | Gfan | Pruning |
| --- | --- | --- |
| 3 | 0.036 | 0.12 |
| 4 | 0.23 | 0.25 |
| 5 | 2.03 | 0.80 | | | 6 | 23.49 | 10.73 |
| --- | --- | --- |
| 7 | 299.32 | 49.53 |
| 8 | 3,764.83 | 540.32 | | 1 |
| n | Gfan | Pruning |
| --- | --- | --- |
| 3 | 0.036 | 0.12 |
| 4 | 0.23 | 0.25 |
| 5 | 2.03 | 0.80 | | | 7 | 243.88 | 20.17 | 614 | 91,381,325 |
| --- | --- | --- | --- | --- |
| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 | | 0 |
| Net | ISPA |
| --- | --- |
| A<br>B | 55.50<br>31.00 |
| A<br>B | 61.00<br>52.00 | | | A<br>B | 66.50<br>73.00 |
| --- | --- |
| A<br>B | 72.00<br>87.37 | | 1 |
| Net | ISPA |
| --- | --- |
| A<br>B | 55.50<br>31.00 |
| A<br>B | 61.00<br>52.00 | | | Net | ISPA |
| --- | --- |
| A<br>B | 112.1<br>92.1 |
| A<br>B | 123.3<br>133.3 |
| A<br>B | 144.8<br>156.5 |
| A<br>B | 81.8<br>99.5 |
| A<br>B | 96.0<br>105.3 |
| A<br>B | 105.5<br>106.7 | | 0 |
| Net | ISPA |
| --- | --- |
| A<br>B | 55.50<br>31.00 | | | A<br>B | 61.00<br>52.00 |
| --- | --- |
| A<br>B | 66.50<br>73.00 |
| A<br>B | 72.00<br>87.37 | | 1 |
| Net | ISPA |
| --- | --- |
| A<br>B | 55.50<br>31.00 | | | A<br>B | 144.8<br>156.5 |
| --- | --- |
| A<br>B | 81.8<br>99.5 |
| A<br>B | 96.0<br>105.3 |
| A<br>B | 105.5<br>106.7 | | 0 |
| Dataset | AUC | Accuracy | #DRs |
| --- | --- | --- | --- |
| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |
| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |
| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) |
| L-H | 0.905(0.116)<br>0.967(0.004) | 0.840(0.144)<br>0.966(0.002) | 2.000(0.000)<br>29.400(2.302) | | | M | 0.501(0.132)<br>0.682(0.212) | 0.493(0.223)<br>0.622(0.201) | 3.000(1.000)<br>123.000(1.050) |
| --- | --- | --- | --- |
| P | 0.388(0.028)<br>0.554(0.025) | 0.158(0.036)<br>0.921(0.012) | 2.000(0.000)<br>26.000(1.732) | | 1 |
| Dataset | AUC | Accuracy | #DRs |
| --- | --- | --- | --- |
| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |
| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |
| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) |
| L-H | 0.905(0.116)<br>0.967(0.004) | 0.840(0.144)<br>0.966(0.002) | 2.000(0.000)<br>29.400(2.302) | | | Dataset | CIFAR-10 | | | | |
| --- | --- | --- | --- | --- | --- |
| #Depths | 20 | 32 | 44 | 56 | 110 |
| Original<br>ELU(a)<br>FReLU(a)<br>ELU(c)<br>FReLU(b) | 8.12(0.18)<br>8.04(0.08)<br>8.10(0.18)<br>8.28(0.09)<br>8.00(0.14) | 7.28(0.19)<br>7.62(0.21)<br>7.30(0.17)<br>7.07(0.17)<br>6.99(0.11) | 6.97(0.24)<br>7.51(0.22)<br>6.91(0.25)<br>6.78(0.10)<br>6.58(0.19) | 6.87(0.54)<br>7.71(0.26)<br>6.54(0.22)<br>6.54(0.20)<br>6.31(0.20) | 6.82(0.63)<br>8.21(0.21)<br>6.20(0.23)<br>5.86(0.14)<br>5.71(0.19) |
| Dataset | CIFAR-100 | | | | |
| #Depths | 20 | 32 | 44 | 56 | 110 |
| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) | | 0 |
| Dataset | AUC | Accuracy | #DRs |
| --- | --- | --- | --- |
| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |
| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |
| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) | | | L-H | 0.905(0.116)<br>0.967(0.004) | 0.840(0.144)<br>0.966(0.002) | 2.000(0.000)<br>29.400(2.302) |
| --- | --- | --- | --- |
| M | 0.501(0.132)<br>0.682(0.212) | 0.493(0.223)<br>0.622(0.201) | 3.000(1.000)<br>123.000(1.050) |
| P | 0.388(0.028)<br>0.554(0.025) | 0.158(0.036)<br>0.921(0.012) | 2.000(0.000)<br>26.000(1.732) | | 1 |
| Dataset | AUC | Accuracy | #DRs |
| --- | --- | --- | --- |
| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |
| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |
| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) | | | Dataset | CIFAR-100 | | | | |
| --- | --- | --- | --- | --- | --- |
| #Depths | 20 | 32 | 44 | 56 | 110 |
| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) | | 0 |
| Attribute | Training | Validation | Test |
| --- | --- | --- | --- |
| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |
| TotalImages | 512,765 | 39,933 | 159,732 | | | StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |
| --- | --- | --- | --- |
| TotalBBoxes | 347,811 | 6,915 | 27,865 | | 1 |
| Attribute | Training | Validation | Test |
| --- | --- | --- | --- |
| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |
| TotalImages | 512,765 | 39,933 | 159,732 | | | Attribute | Training | Validation | Test |
| --- | --- | --- | --- |
| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |
| TotalImages | 512,765 | 39,933 | 159,732 |
| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |
| TotalBBoxes | 347,811 | 6,915 | 27,865 | | 0 |
| Attribute | Training | Validation | Test |
| --- | --- | --- | --- |
| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |
| TotalImages | 512,765 | 39,933 | 159,732 | | | StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |
| --- | --- | --- | --- |
| TotalBBoxes | 347,811 | 6,915 | 27,865 | | 1 |
| Attribute | Training | Validation | Test |
| --- | --- | --- | --- |
| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |
| TotalImages | 512,765 | 39,933 | 159,732 | | | StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |
| --- | --- | --- | --- |
| TotalBBoxes | 347,811 | 6,915 | 27,865 | | 0 |
| FCLS | SCLS | ELMM | PLMM |
| --- | --- | --- | --- |
| 0.14s | 0.42s | 14.76s | 16.17s |
| 0.27s | 0.83s | 37.52s | 149.91s |
| 0.17s | 0.35s | 15.82s | 63.07s | | | 0.82s | 2.31s | 174.53s | 484.02s |
| --- | --- | --- | --- |
| 6.63s | 15.61s | 527.89s | 7998.02s | | 1 |
| FCLS | SCLS | ELMM | PLMM |
| --- | --- | --- | --- |
| 0.14s | 0.42s | 14.76s | 16.17s |
| 0.27s | 0.83s | 37.52s | 149.91s |
| 0.17s | 0.35s | 15.82s | 63.07s | | | | DSTC2 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |
| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |
| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |
| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 | | 0 |
| FCLS | SCLS | ELMM | PLMM |
| --- | --- | --- | --- |
| 0.14s | 0.42s | 14.76s | 16.17s |
| 0.27s | 0.83s | 37.52s | 149.91s | | | 0.17s | 0.35s | 15.82s | 63.07s |
| --- | --- | --- | --- |
| 0.82s | 2.31s | 174.53s | 484.02s |
| 6.63s | 15.61s | 527.89s | 7998.02s | | 1 |
| FCLS | SCLS | ELMM | PLMM |
| --- | --- | --- | --- |
| 0.14s | 0.42s | 14.76s | 16.17s |
| 0.27s | 0.83s | 37.52s | 149.91s | | | Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |
| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |
| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 | | 0 |
| user/pair | ω1 | ω2 | ω3 | ω4 |
| --- | --- | --- | --- | --- |
| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |
| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |
| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |
| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 | | | User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 |
| --- | --- | --- | --- | --- |
| User2/(3,4) | 0.9 | 0.8 | 0.1 | 0.7 |
| User3/(2,3) | 0.6 | 0.2 | 0.4 | 0.1 |
| User3/(2,4) | 0.3 | 0.5 | 0.2 | 0.1 |
| User3/(3,4) | 0.8 | 0.1 | 0.6 | 0.9 | | 1 |
| user/pair | ω1 | ω2 | ω3 | ω4 |
| --- | --- | --- | --- | --- |
| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |
| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |
| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |
| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 | | | pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |
| --- | --- | --- | --- | --- | --- | --- |
| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |
| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |
| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 | | 0 |
| user/pair | ω1 | ω2 | ω3 | ω4 |
| --- | --- | --- | --- | --- |
| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |
| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |
| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |
| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |
| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 | | | User2/(3,4) | 0.9 | 0.8 | 0.1 | 0.7 |
| --- | --- | --- | --- | --- |
| User3/(2,3) | 0.6 | 0.2 | 0.4 | 0.1 |
| User3/(2,4) | 0.3 | 0.5 | 0.2 | 0.1 |
| User3/(3,4) | 0.8 | 0.1 | 0.6 | 0.9 | | 1 |
| user/pair | ω1 | ω2 | ω3 | ω4 |
| --- | --- | --- | --- | --- |
| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |
| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |
| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |
| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |
| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 | | | (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |
| --- | --- | --- | --- | --- | --- | --- |
| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 | | 0 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |
| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 | | | 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |
| --- | --- | --- |
| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 | | 1 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |
| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 | | | Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |
| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 |
| 20 | 0.0350.0270.0300.063 | 0.0560.0570.0560.075 |
| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |
| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |
| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 | | 0 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 | | | 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |
| --- | --- | --- |
| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |
| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 | | 1 |
| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |
| --- | --- | --- |
| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 | | | 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |
| --- | --- | --- |
| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |
| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 | | 0 |
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