premise string | hypothesis string | label int64 |
|---|---|---|
| UCF101 |
| --- |
| 512bits256bits128bits64bits |
| 0.3930.4920.6000.572<br>0.7900.7780.7540.706<br>0.8480.8100.7860.716<br>0.7480.7200.6960.619<br>0.6300.6050.6850.692<br>0.4440.3890.1590.115<br>0.4170.4860.4390.406<br>0.7850.7660.7360.681<br>0.8350.8170.7890.740 | | | 0.8530.8860.9010.867 |
| --- |
| 0.9530.9590.9490.901 | | 1 |
| UCF101 |
| --- |
| 512bits256bits128bits64bits |
| 0.3930.4920.6000.572<br>0.7900.7780.7540.706<br>0.8480.8100.7860.716<br>0.7480.7200.6960.619<br>0.6300.6050.6850.692<br>0.4440.3890.1590.115<br>0.4170.4860.4390.406<br>0.7850.7660.7360.681<br>0.8350.8170.7890.740 | | | ULvs.GN | ULvs.FT |
| --- | --- |
| PrecRecF1 | PrecRecF1 |
| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |
| 0.8340.8330.833 | 0.8970.8970.897 |
| 0.5000.5000.500 | 0.5000.5000.500 | | 0 |
| UCF101 |
| --- |
| 512bits256bits128bits64bits | | | 0.3930.4920.6000.572<br>0.7900.7780.7540.706<br>0.8480.8100.7860.716<br>0.7480.7200.6960.619<br>0.6300.6050.6850.692<br>0.4440.3890.1590.115<br>0.4170.4860.4390.406<br>0.7850.7660.7360.681<br>0.8350.8170.7890.740 |
| --- |
| 0.8530.8860.9010.867 |
| 0.9530.9590.9490.901 | | 1 |
| UCF101 |
| --- |
| 512bits256bits128bits64bits | | | 0.8340.8330.833 | 0.8970.8970.897 |
| --- | --- |
| 0.5000.5000.500 | 0.5000.5000.500 | | 0 |
| | SE[U] | ME[U] | GE[U] |
| --- | --- | --- | --- |
| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |
| UBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete | | | LBPforloop-freeBP | PP-hard | PP-hard | PP-hard |
| --- | --- | --- | --- |
| UBPforloop-freeBP | PP-hard | PP-hard | PP-hard |
| LBPforloop-freeBP,constantbound | Unknown | NP-complete | NP-complete |
| UBPforloop-freeBP,constantbound | Unknown | coNP-complete | coNP-complete | | 1 |
| | SE[U] | ME[U] | GE[U] |
| --- | --- | --- | --- |
| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |
| UBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete | | | Graphclass | Lowerbound | Complexity | Approximability | References |
| --- | --- | --- | --- | --- |
| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard | |
| Chordal | Θ(log(n)) | NP-c | log-APX-hard | |
| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard | |
| Bipartite | Θ(log(n)) | NP-c | log-APX-hard | |
| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard | |
| Claw-free | Θ(log(n)) | NP-c | log-APX-hard | |
| Interval | Θ(n) | NP-c | open | |
| Unitinterval | Θ(n) | open | PTAS | |
| Permutation | Θ(n) | NP-c | open | |
| Linegraphs | Θ(n) | NP-c | APX(4) | |
| Planar | Θ(n) | NP-c | APX(7) | | | 0 |
| | SE[U] | ME[U] | GE[U] |
| --- | --- | --- | --- |
| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete | | | UBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |
| --- | --- | --- | --- |
| LBPforloop-freeBP | PP-hard | PP-hard | PP-hard |
| UBPforloop-freeBP | PP-hard | PP-hard | PP-hard |
| LBPforloop-freeBP,constantbound | Unknown | NP-complete | NP-complete |
| UBPforloop-freeBP,constantbound | Unknown | coNP-complete | coNP-complete | | 1 |
| | SE[U] | ME[U] | GE[U] |
| --- | --- | --- | --- |
| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete | | | Interval | Θ(n) | NP-c | open | |
| --- | --- | --- | --- | --- |
| Unitinterval | Θ(n) | open | PTAS | |
| Permutation | Θ(n) | NP-c | open | |
| Linegraphs | Θ(n) | NP-c | APX(4) | |
| Planar | Θ(n) | NP-c | APX(7) | | | 0 |
| NameGeneratorBriefdescription |
| --- |
| roadextractionRoadnetworkswithagivennumberofvertices. | | | squaregridSquaregridofsizem×m<br>longgridLonggridofsize16m×m<br>widegridWidegridofsizem×16m |
| --- |
| acycacyclicAcyclicgraphwithnverticesv,...,vand5narcs(v,v)withi<j1nij |
| randrandomHamiltoniancyclewithnverticesand5n−nchords. | | 1 |
| NameGeneratorBriefdescription |
| --- |
| roadextractionRoadnetworkswithagivennumberofvertices. | | | Graph<br>G=(V,E) | n=<br>\|V\| | m=<br>\|E\| | diameter<br>diam(G) | radius<br>rad(G) |
| --- | --- | --- | --- | --- |
| PPI | 1458 | 1948 | 19 | 11 |
| Yeast | 2224 | 6609 | 11 | 6 |
| DutchElite | 3621 | 4311 | 22 | 12 |
| EPA | 4253 | 8953 | 10 | 6 |
| EVA | 4475 | 4664 | 18 | 10 |
| California | 5925 | 15770 | 13 | 7 |
| Erd¨os | 6927 | 11850 | 4 | 2 |
| Routeview | 10515 | 21455 | 10 | 5 |
| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |
| ASCaida20071105 | 26475 | 53381 | 17 | 9 |
| Dimes3/2010 | 26424 | 90267 | 8 | 4 |
| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |
| ASCaida20120601 | 41203 | 121309 | 10 | 5 |
| itdk0304 | 190914 | 607610 | 26 | 14 |
| DBLB-coauth | 317080 | 1049866 | 23 | 12 |
| Amazon | 334863 | 925872 | 47 | 24 | | 0 |
| NameGeneratorBriefdescription |
| --- |
| roadextractionRoadnetworkswithagivennumberofvertices. | | | squaregridSquaregridofsizem×m<br>longgridLonggridofsize16m×m<br>widegridWidegridofsizem×16m |
| --- |
| acycacyclicAcyclicgraphwithnverticesv,...,vand5narcs(v,v)withi<j1nij |
| randrandomHamiltoniancyclewithnverticesand5n−nchords. | | 1 |
| NameGeneratorBriefdescription |
| --- |
| roadextractionRoadnetworkswithagivennumberofvertices. | | | Dimes3/2010 | 26424 | 90267 | 8 | 4 |
| --- | --- | --- | --- | --- |
| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |
| ASCaida20120601 | 41203 | 121309 | 10 | 5 |
| itdk0304 | 190914 | 607610 | 26 | 14 |
| DBLB-coauth | 317080 | 1049866 | 23 | 12 |
| Amazon | 334863 | 925872 | 47 | 24 | | 0 |
| Participants | Algorithmnames |
| --- | --- |
| SupremaIDInc. | SSLFD |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |
| OKIBrasil | OKIBrB20 |
| OKIBrasil | OKIBrB30 |
| ZhejiangUniversityofTechnology | ZYL1 |
| ZhejiangUniversityofTechnology | ZYL2 |
| Anonymous0 | SNOTA20171 |
| Anonymous0 | SNOTA20172 |
| ModuLAB. | ModuLAB |
| ChosunUniversity | ganfp |
| Anonymous1 | PBLivDet1 |
| Anonymous1 | PBLivDet2 |
| KAIST | hanulj |
| Anonymous2 | SpoofWit | | | UniversityofNaplesFedericoII | LCPD |
| --- | --- |
| CENATAV | PADfV | | 1 |
| Participants | Algorithmnames |
| --- | --- |
| SupremaIDInc. | SSLFD |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |
| OKIBrasil | OKIBrB20 |
| OKIBrasil | OKIBrB30 |
| ZhejiangUniversityofTechnology | ZYL1 |
| ZhejiangUniversityofTechnology | ZYL2 |
| Anonymous0 | SNOTA20171 |
| Anonymous0 | SNOTA20172 |
| ModuLAB. | ModuLAB |
| ChosunUniversity | ganfp |
| Anonymous1 | PBLivDet1 |
| Anonymous1 | PBLivDet2 |
| KAIST | hanulj |
| Anonymous2 | SpoofWit | | | ParticipantsLivDet2009 | AlgorithmName |
| --- | --- |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| Anonymous | Anonymous |
| Anonymous2 | Anonymous2 |
| ParticipantsLivDet2011 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversityofNaplesFedericoII | Federico |
| ChineseAcademyofSciences | CASIA |
| ParticipantsLivDet2013 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| HangZhouJLWTechnologyCoLtd | HZ-JLW |
| FederalUniversityofPernambuco | Itautec |
| ChineseAcademyofSciences | CAoS |
| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |
| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |
| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |
| FirstAnonymousparticipant | Anonym1 |
| SecondAnonymousparticipant | Anonym2 |
| ThirdAnonymousparticipant | Anonym3 |
| ParticipantsLivDet2015 | AlgorithmName |
| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |
| InstituteforInfocommResearch(I2R) | CSI |
| InstituteforInfocommResearch(I2R) | CSIMM |
| Dermalog | hbirkholz |
| UniversidadeFederaldePernambuco | hectorn |
| Anonymousparticipant | anonym |
| HangzhouJinglianwenTechnologyCo.,Ltd | jinglian |
| UniversidadeFederalRuraldePernambuco | UFPEI |
| UniversidadeFederalRuraldePernambuco | UFPEII |
| UniversityofNaplesFedericoII | unina |
| NewYorkUniversity | nogueira |
| ZhejiangUniversityofTechnology | titanz | | 0 |
| Participants | Algorithmnames |
| --- | --- |
| SupremaIDInc. | SSLFD |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |
| OKIBrasil | OKIBrB20 |
| OKIBrasil | OKIBrB30 |
| ZhejiangUniversityofTechnology | ZYL1 |
| ZhejiangUniversityofTechnology | ZYL2 |
| Anonymous0 | SNOTA20171 |
| Anonymous0 | SNOTA20172 |
| ModuLAB. | ModuLAB |
| ChosunUniversity | ganfp |
| Anonymous1 | PBLivDet1 |
| Anonymous1 | PBLivDet2 |
| KAIST | hanulj | | | Anonymous2 | SpoofWit |
| --- | --- |
| UniversityofNaplesFedericoII | LCPD |
| CENATAV | PADfV | | 1 |
| Participants | Algorithmnames |
| --- | --- |
| SupremaIDInc. | SSLFD |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |
| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |
| OKIBrasil | OKIBrB20 |
| OKIBrasil | OKIBrB30 |
| ZhejiangUniversityofTechnology | ZYL1 |
| ZhejiangUniversityofTechnology | ZYL2 |
| Anonymous0 | SNOTA20171 |
| Anonymous0 | SNOTA20172 |
| ModuLAB. | ModuLAB |
| ChosunUniversity | ganfp |
| Anonymous1 | PBLivDet1 |
| Anonymous1 | PBLivDet2 |
| KAIST | hanulj | | | DermalogIdentificationSystemsGmbH | Dermalog |
| --- | --- |
| UniversityofNaplesFedericoII | Federico |
| ChineseAcademyofSciences | CASIA |
| ParticipantsLivDet2013 | AlgorithmName |
| DermalogIdentificationSystemsGmbH | Dermalog |
| UniversidadAutonomadeMadrid | ATVS |
| HangZhouJLWTechnologyCoLtd | HZ-JLW |
| FederalUniversityofPernambuco | Itautec |
| ChineseAcademyofSciences | CAoS |
| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |
| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |
| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |
| FirstAnonymousparticipant | Anonym1 |
| SecondAnonymousparticipant | Anonym2 |
| ThirdAnonymousparticipant | Anonym3 |
| ParticipantsLivDet2015 | AlgorithmName |
| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |
| InstituteforInfocommResearch(I2R) | CSI |
| InstituteforInfocommResearch(I2R) | CSIMM |
| Dermalog | hbirkholz |
| UniversidadeFederaldePernambuco | hectorn |
| Anonymousparticipant | anonym |
| HangzhouJinglianwenTechnologyCo.,Ltd | jinglian |
| UniversidadeFederalRuraldePernambuco | UFPEI |
| UniversidadeFederalRuraldePernambuco | UFPEII |
| UniversityofNaplesFedericoII | unina |
| NewYorkUniversity | nogueira |
| ZhejiangUniversityofTechnology | titanz | | 0 |
| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |
| --- | --- | --- | --- |
| <4lx | 100kbps | - | - |
| 12lx | 350kbps | - | - | | | 25lx | 500kbps | 100kbps | 10kbps |
| --- | --- | --- | --- |
| 50lx | 600kbps | 700kbps | 30kbps | | 1 |
| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |
| --- | --- | --- | --- |
| <4lx | 100kbps | - | - |
| 12lx | 350kbps | - | - | | | Parameters | Value | Description |
| --- | --- | --- |
| N | 1000 | Numberofvideocontents |
| Ld | 30m | D2Ddistancethreshold |
| Cd | 80 | CachesizeofD2Dtransmitusers |
| Cf | 100∼500 | CachesizeofF-APs |
| Bd | 300MHz | BandwidthofD2Dusers |
| Bf | 100MHz | BandwidthofF-APs |
| Pd | 13dBm | TransmitpowerofD2Dtransmituser |
| Pf | 23dBm | TransmitpowerofF-AP |
| λru | −5<br>6×10 | Intensityofcontentrequireusers |
| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |
| λf | −5<br>3×10 | IntensityofF-APs |
| λg | −6<br>2×10 | Intensityofgateways |
| α | 4 | Pathlossexponent | | 0 |
| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |
| --- | --- | --- | --- |
| <4lx | 100kbps | - | - |
| 12lx | 350kbps | - | - | | | 25lx | 500kbps | 100kbps | 10kbps |
| --- | --- | --- | --- |
| 50lx | 600kbps | 700kbps | 30kbps | | 1 |
| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |
| --- | --- | --- | --- |
| <4lx | 100kbps | - | - |
| 12lx | 350kbps | - | - | | | Pf | 23dBm | TransmitpowerofF-AP |
| --- | --- | --- |
| λru | −5<br>6×10 | Intensityofcontentrequireusers |
| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |
| λf | −5<br>3×10 | IntensityofF-APs |
| λg | −6<br>2×10 | Intensityofgateways |
| α | 4 | Pathlossexponent | | 0 |
| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N | M | C | µ | I1 | I3 | R0 | R2 |
| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 | | | 200 | 100 | 0.6 | 0.4 | 3.87·10 | 2.91·10 | 5.50·10 | 1.91·10 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 200 | 200 | 0.3 | 0.2 | 4.73·10 | 1.71·10 | 1.28·10 | 2.69·10 |
| 400 | 100 | 1.2 | 1.6 | 5.82·10 | 2.56·10 | 1.45·10 | 2.39·10 |
| 400 | 200 | 0.6 | 0.8 | 1.49·10 | 2.51·10 | 3.68·10 | 4.85·10 |
| 400 | 400 | 0.3 | 0.4 | 3.38·10 | 4.81·10 | 5.03·10 | 6.73·10 | | 1 |
| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N | M | C | µ | I1 | I3 | R0 | R2 |
| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 | | | Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N | M | C | µ | I1 | I3 | R0 | R2 |
| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |
| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |
| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |
| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |
| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |
| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 | | 0 |
| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N | M | C | µ | I1 | I3 | R0 | R2 |
| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 |
| 200 | 100 | 0.6 | 0.4 | 3.87·10 | 2.91·10 | 5.50·10 | 1.91·10 |
| 200 | 200 | 0.3 | 0.2 | 4.73·10 | 1.71·10 | 1.28·10 | 2.69·10 | | | 400 | 100 | 1.2 | 1.6 | 5.82·10 | 2.56·10 | 1.45·10 | 2.39·10 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 400 | 200 | 0.6 | 0.8 | 1.49·10 | 2.51·10 | 3.68·10 | 4.85·10 |
| 400 | 400 | 0.3 | 0.4 | 3.38·10 | 4.81·10 | 5.03·10 | 6.73·10 | | 1 |
| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| N | M | C | µ | I1 | I3 | R0 | R2 |
| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 |
| 200 | 100 | 0.6 | 0.4 | 3.87·10 | 2.91·10 | 5.50·10 | 1.91·10 |
| 200 | 200 | 0.3 | 0.2 | 4.73·10 | 1.71·10 | 1.28·10 | 2.69·10 | | | 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |
| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |
| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |
| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 | | 0 |
| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |
| --- | --- | --- | --- |
| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite | | | 6-10 | + | RedSlate | Phyllite,Pyroxenite |
| --- | --- | --- | --- |
| 11-15 | + | RedSlate | Pyroxenite |
| 16-20 | − | N/A | Phyllite,Pyroxenite | | 1 |
| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |
| --- | --- | --- | --- |
| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite | | | PABG | WABG | WRBG | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |
| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |
| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |
| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |
| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |
| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |
| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |
| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |
| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 | | 0 |
| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |
| --- | --- | --- | --- |
| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite |
| 6-10 | + | RedSlate | Phyllite,Pyroxenite | | | 11-15 | + | RedSlate | Pyroxenite |
| --- | --- | --- | --- |
| 16-20 | − | N/A | Phyllite,Pyroxenite | | 1 |
| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |
| --- | --- | --- | --- |
| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite |
| 6-10 | + | RedSlate | Phyllite,Pyroxenite | | | KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |
| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |
| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |
| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |
| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |
| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |
| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 | | 0 |
| http://dbpedia.org/sparql |
| --- |
| http://data.nobelprize.org/sparql |
| http://data.archiveshub.ac.uk/sparql |
| http://dati.camera.it/sparql |
| http://data.utpl.edu.ec/ecuadorresearch/lod/sparql |
| http://lod.sztaki.hu/sparql |
| http://semantic.eea.europa.eu/sparql | | | http://data.open.ac.uk/query |
| --- |
| http://semanticweb.cs.vu.nl/europeana/sparql |
| http://services.data.gov.uk/reference/sparql | | 1 |
| http://dbpedia.org/sparql |
| --- |
| http://data.nobelprize.org/sparql |
| http://data.archiveshub.ac.uk/sparql |
| http://dati.camera.it/sparql |
| http://data.utpl.edu.ec/ecuadorresearch/lod/sparql |
| http://lod.sztaki.hu/sparql |
| http://semantic.eea.europa.eu/sparql | | | | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |
| --- | --- | --- | --- | --- | --- |
| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |
| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |
| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |
| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 | | 0 |
| http://dbpedia.org/sparql |
| --- |
| http://data.nobelprize.org/sparql |
| http://data.archiveshub.ac.uk/sparql |
| http://dati.camera.it/sparql | | | http://data.utpl.edu.ec/ecuadorresearch/lod/sparql |
| --- |
| http://lod.sztaki.hu/sparql |
| http://semantic.eea.europa.eu/sparql |
| http://data.open.ac.uk/query |
| http://semanticweb.cs.vu.nl/europeana/sparql |
| http://services.data.gov.uk/reference/sparql | | 1 |
| http://dbpedia.org/sparql |
| --- |
| http://data.nobelprize.org/sparql |
| http://data.archiveshub.ac.uk/sparql |
| http://dati.camera.it/sparql | | | OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |
| --- | --- | --- | --- | --- | --- |
| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |
| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 | | 0 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9708 | 0.9638 | 0.9371 | 0.8895 | | | 0.9737 | 0.7189 | 0.9675 | 0.9643 |
| --- | --- | --- | --- |
| 0.9749 | 0.3620 | 0.9611 | 0.9725 |
| 0.9760 | 0.3211 | 0.9565 | 0.9737 | | 1 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9708 | 0.9638 | 0.9371 | 0.8895 | | | normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9725 | 0.9704 | 0.9687 | 0.9663 |
| 0.9758 | 0.6258 | 0.9719 | 0.9638 |
| 0.9812 | 0.5303 | 0.9640 | 0.9751 |
| 0.9868 | 0.3916 | 0.9589 | 0.9637 | | 0 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9708 | 0.9638 | 0.9371 | 0.8895 | | | 0.9737 | 0.7189 | 0.9675 | 0.9643 |
| --- | --- | --- | --- |
| 0.9749 | 0.3620 | 0.9611 | 0.9725 |
| 0.9760 | 0.3211 | 0.9565 | 0.9737 | | 1 |
| normalimages | ε=2test | ε=4test | ε=6test |
| --- | --- | --- | --- |
| 0.9708 | 0.9638 | 0.9371 | 0.8895 | | | 0.9812 | 0.5303 | 0.9640 | 0.9751 |
| --- | --- | --- | --- |
| 0.9868 | 0.3916 | 0.9589 | 0.9637 | | 0 |
| T=1 | T=3 |
| --- | --- |
| 1.6839 | 0.7567 |
| 1.6639 | 0.7684 |
| 1.6090 | 0.8258 |
| 1.6793 | 0.8017 | | | 1.5191 | 0.7784 |
| --- | --- |
| 1.4991 | 0.8218 |
| 1.4101 | 0.8027 |
| 1.3879 | 0.7786 |
| 1.4162 | 0.7408 | | 1 |
| T=1 | T=3 |
| --- | --- |
| 1.6839 | 0.7567 |
| 1.6639 | 0.7684 |
| 1.6090 | 0.8258 |
| 1.6793 | 0.8017 | | | n | T(n) |
| --- | --- |
| 2 | 1 |
| 3 | 1 |
| 4 | 4 |
| 5 | 56 |
| 6 | 9048 |
| 7 | 16942080 |
| 8 | 535281401585 |
| 9 | 377597570964258 |
| 10 | 7580721483160132811489280 |
| 11 | 5.36×10 |
| 12 | 1.62×10 |
| 13 | 2.51×10 |
| 14 | 2.33×10 |
| 15 | 1.50×10 | | 0 |
| T=1 | T=3 |
| --- | --- |
| 1.6839 | 0.7567 |
| 1.6639 | 0.7684 |
| 1.6090 | 0.8258 |
| 1.6793 | 0.8017 | | | 1.5191 | 0.7784 |
| --- | --- |
| 1.4991 | 0.8218 |
| 1.4101 | 0.8027 |
| 1.3879 | 0.7786 |
| 1.4162 | 0.7408 | | 1 |
| T=1 | T=3 |
| --- | --- |
| 1.6839 | 0.7567 |
| 1.6639 | 0.7684 |
| 1.6090 | 0.8258 |
| 1.6793 | 0.8017 | | | 7 | 16942080 |
| --- | --- |
| 8 | 535281401585 |
| 9 | 377597570964258 |
| 10 | 7580721483160132811489280 |
| 11 | 5.36×10 |
| 12 | 1.62×10 |
| 13 | 2.51×10 |
| 14 | 2.33×10 |
| 15 | 1.50×10 | | 0 |
| AdHocTeammate | OPAT | Aug.IDID |
| --- | --- | --- |
| GridT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 |
| BPT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 29.26±2.17<br>41.1±1.55<br>52.11±0.48 | 36.15±1.95<br>54.43±3.38<br>59.2±1.55 | | | MABCT=20,look-ahead=3 | | |
| --- | --- | --- |
| Random<br>Predefined<br>Optimal | 9.68±1.37<br>12.8±0.65<br>16.64±0.28 | 12.13±1.08<br>13.22±0.21<br>15.97±1.31 | | 1 |
| AdHocTeammate | OPAT | Aug.IDID |
| --- | --- | --- |
| GridT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 |
| BPT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 29.26±2.17<br>41.1±1.55<br>52.11±0.48 | 36.15±1.95<br>54.43±3.38<br>59.2±1.55 | | | Similar | | | | |
| --- | --- | --- | --- | --- |
| | K | N.TFT | B. | C. |
| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |
| AverageSimilarity | | | | |
| | K | N.TFT | B. | C. |
| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |
| Dissimilar | | | | |
| | K | N.TFT | B. | C. |
| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 | | 0 |
| AdHocTeammate | OPAT | Aug.IDID |
| --- | --- | --- |
| GridT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 | | | BPT=20,look-ahead=3 | | |
| --- | --- | --- |
| Random<br>Predefined<br>Optimal | 29.26±2.17<br>41.1±1.55<br>52.11±0.48 | 36.15±1.95<br>54.43±3.38<br>59.2±1.55 |
| MABCT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 9.68±1.37<br>12.8±0.65<br>16.64±0.28 | 12.13±1.08<br>13.22±0.21<br>15.97±1.31 | | 1 |
| AdHocTeammate | OPAT | Aug.IDID |
| --- | --- | --- |
| GridT=20,look-ahead=3 | | |
| Random<br>Predefined<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 | | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |
| --- | --- | --- | --- | --- |
| Dissimilar | | | | |
| | K | N.TFT | B. | C. |
| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 | | 0 |
| | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |
| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 | | | | Baselinedistance<br>of8meters | AverageDistanceError(m) | 0.030 | 4.3318 | 5.170 | 5.487 | 5.756 | 5.708 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| NumberofValidSamples | 10 | 636 | 2529 | 4137 | 4794 | 5233 | | | 1 |
| | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |
| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 | | | | Approach | deep | | | | |
| --- | --- | --- | --- | --- | --- |
| RMSE | PR | CCC | RMSE | PR | |
| target | 0.67 | .786 | .776 | 0.66 | .787 |
| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |
| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |
| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 | | 0 |
| | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |
| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 | | | | Baselinedistance<br>of8meters | AverageDistanceError(m) | 0.030 | 4.3318 | 5.170 | 5.487 | 5.756 | 5.708 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| NumberofValidSamples | 10 | 636 | 2529 | 4137 | 4794 | 5233 | | | 1 |
| | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |
| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 | | | | src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |
| --- | --- | --- | --- | --- | --- |
| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |
| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 | | 0 |
| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |
| --- | --- | --- | --- | --- | --- |
| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |
| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |
| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |
| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |
| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 | | | 20 | 14:59:21 | 15:01:19 | 117 | 1388278088 | 320 |
| --- | --- | --- | --- | --- | --- |
| 30 | 21:06:39 | 21:08:30 | 112 | 2082417128 | 214 |
| 30 | 21:10:44 | 21:12:36 | 112 | 2082417128 | 214 |
| 40 | 15:04:59 | 15:06:52 | 114 | 2776556168 | 160 |
| 40 | 15:09:55 | 15:11:56 | 120 | 2776556168 | 160 |
| 50 | 11:00:04 | 11:01:59 | 115 | 3470695208 | 128 |
| 50 | 14:50:18 | 14:52:11 | 114 | 3470695208 | 128 |
| 60 | 21:25:47 | 21:27:34 | 107 | 4164834248 | 107 |
| 60 | 16:07:51 | 16:09:44 | 113 | 4164834248 | 107 |
| 70 | 15:18:27 | 15:20:19 | 112 | 4858973288 | 92 |
| 70 | 15:22:29 | 15:24:20 | 110 | 4858973288 | 92 |
| 80 | 10:49:16 | 10:51:09 | 113 | 5553112328 | 80 |
| 80 | 10:54:25 | 10:56:19 | 114 | 5553112328 | 80 |
| 90 | 15:50:29 | 15:52:19 | 109 | 6247251368 | 72 |
| 90 | 15:55:18 | 15:57:08 | 111 | 6247251368 | 72 |
| 100 | 21:32:57 | 21:34:43 | 106 | 6941390408 | 64 |
| 100 | 21:36:45 | 21:38:32 | 106 | 6941390408 | 64 | | 1 |
| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |
| --- | --- | --- | --- | --- | --- |
| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |
| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |
| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |
| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |
| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 | | | Synchronous | Asynchronous | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |
| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |
| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |
| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |
| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |
| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |
| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |
| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |
| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |
| TotalExec-Time | 22374 | TotalExec-Time | 21824 | | | | | | 0 |
| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |
| --- | --- | --- | --- | --- | --- |
| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |
| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |
| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |
| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |
| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 |
| 20 | 14:59:21 | 15:01:19 | 117 | 1388278088 | 320 |
| 30 | 21:06:39 | 21:08:30 | 112 | 2082417128 | 214 |
| 30 | 21:10:44 | 21:12:36 | 112 | 2082417128 | 214 |
| 40 | 15:04:59 | 15:06:52 | 114 | 2776556168 | 160 |
| 40 | 15:09:55 | 15:11:56 | 120 | 2776556168 | 160 |
| 50 | 11:00:04 | 11:01:59 | 115 | 3470695208 | 128 |
| 50 | 14:50:18 | 14:52:11 | 114 | 3470695208 | 128 |
| 60 | 21:25:47 | 21:27:34 | 107 | 4164834248 | 107 |
| 60 | 16:07:51 | 16:09:44 | 113 | 4164834248 | 107 |
| 70 | 15:18:27 | 15:20:19 | 112 | 4858973288 | 92 |
| 70 | 15:22:29 | 15:24:20 | 110 | 4858973288 | 92 |
| 80 | 10:49:16 | 10:51:09 | 113 | 5553112328 | 80 | | | 80 | 10:54:25 | 10:56:19 | 114 | 5553112328 | 80 |
| --- | --- | --- | --- | --- | --- |
| 90 | 15:50:29 | 15:52:19 | 109 | 6247251368 | 72 |
| 90 | 15:55:18 | 15:57:08 | 111 | 6247251368 | 72 |
| 100 | 21:32:57 | 21:34:43 | 106 | 6941390408 | 64 |
| 100 | 21:36:45 | 21:38:32 | 106 | 6941390408 | 64 | | 1 |
| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |
| --- | --- | --- | --- | --- | --- |
| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |
| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |
| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |
| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |
| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 |
| 20 | 14:59:21 | 15:01:19 | 117 | 1388278088 | 320 |
| 30 | 21:06:39 | 21:08:30 | 112 | 2082417128 | 214 |
| 30 | 21:10:44 | 21:12:36 | 112 | 2082417128 | 214 |
| 40 | 15:04:59 | 15:06:52 | 114 | 2776556168 | 160 |
| 40 | 15:09:55 | 15:11:56 | 120 | 2776556168 | 160 |
| 50 | 11:00:04 | 11:01:59 | 115 | 3470695208 | 128 |
| 50 | 14:50:18 | 14:52:11 | 114 | 3470695208 | 128 |
| 60 | 21:25:47 | 21:27:34 | 107 | 4164834248 | 107 |
| 60 | 16:07:51 | 16:09:44 | 113 | 4164834248 | 107 |
| 70 | 15:18:27 | 15:20:19 | 112 | 4858973288 | 92 |
| 70 | 15:22:29 | 15:24:20 | 110 | 4858973288 | 92 |
| 80 | 10:49:16 | 10:51:09 | 113 | 5553112328 | 80 | | | M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |
| TotalExec-Time | 22374 | TotalExec-Time | 21824 | | | | | | 0 |
| Settings | DHS | DSS | Amulet | Ours |
| --- | --- | --- | --- | --- |
| Traintime(h) | – | – | 107 | 22 | | | Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 |
| --- | --- | --- | --- | --- |
| Testrate(fps)CPU | 0.095 | 0.054 | 0.082 | 3.51 |
| Modelsize(MB) | 358 | 237 | 126 | 67 | | 1 |
| Settings | DHS | DSS | Amulet | Ours |
| --- | --- | --- | --- | --- |
| Traintime(h) | – | – | 107 | 22 | | | Models | IOU | Params | GFlops |
| --- | --- | --- | --- |
| D | 69.26 | 1291648 | 19.025 |
| DG2 | 69.71 | 1238960 | 18.998 |
| DG4 | 68.98 | 1202096 | 18.595 |
| DG8 | 69.57 | 1183664 | 18.394 |
| DG2S | 70.62 | 1238960 | 18.998 |
| DG4S | 69.59 | 1202096 | 18.595 |
| DG8S | 69.57 | 1183664 | 18.394 | | 0 |
| Settings | DHS | DSS | Amulet | Ours |
| --- | --- | --- | --- | --- |
| Traintime(h) | – | – | 107 | 22 |
| Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 | | | Testrate(fps)CPU | 0.095 | 0.054 | 0.082 | 3.51 |
| --- | --- | --- | --- | --- |
| Modelsize(MB) | 358 | 237 | 126 | 67 | | 1 |
| Settings | DHS | DSS | Amulet | Ours |
| --- | --- | --- | --- | --- |
| Traintime(h) | – | – | 107 | 22 |
| Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 | | | DG2S | 70.62 | 1238960 | 18.998 |
| --- | --- | --- | --- |
| DG4S | 69.59 | 1202096 | 18.595 |
| DG8S | 69.57 | 1183664 | 18.394 | | 0 |
| | WER-SWB | WER-BN |
| --- | --- | --- |
| Nopooling | 23.7 | - |
| pool=2 | 23.4 | 20.7 | | | pool=3 | 22.9 | 20.7 |
| --- | --- | --- |
| pool=4 | 22.9 | 21.4 | | 1 |
| | WER-SWB | WER-BN |
| --- | --- | --- |
| Nopooling | 23.7 | - |
| pool=2 | 23.4 | 20.7 | | | | 2pooling | 3pooling | 4pooling | 5pooling |
| --- | --- | --- | --- | --- |
| RGB | 0.0173 | 0.0284 | 0.0308 | 0.0350 |
| RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |
| RGB+coord | 0.0182 | 0.0292 | 0.0318 | 0.0356 |
| RGB+dist+coord | 0.0192 | 0.0298 | 0.0327 | 0.0361 | | 0 |
| | WER-SWB | WER-BN |
| --- | --- | --- |
| Nopooling | 23.7 | - |
| pool=2 | 23.4 | 20.7 | | | pool=3 | 22.9 | 20.7 |
| --- | --- | --- |
| pool=4 | 22.9 | 21.4 | | 1 |
| | WER-SWB | WER-BN |
| --- | --- | --- |
| Nopooling | 23.7 | - |
| pool=2 | 23.4 | 20.7 | | | RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |
| --- | --- | --- | --- | --- |
| RGB+coord | 0.0182 | 0.0292 | 0.0318 | 0.0356 |
| RGB+dist+coord | 0.0192 | 0.0298 | 0.0327 | 0.0361 | | 0 |
| Algorithm | Performance | Nopersonalization | Personalizationapproach |
| --- | --- | --- | --- |
| α=0 | α=1 | α=2 | | | | HCRF(PSPI) | MAE | 2.65 | 2.18(0.05) | 2.12(0.23) |
| --- | --- | --- | --- | --- |
| ICC | 0.35 | 0.49(0.03) | 0.50(0.13) | |
| RNN-HCRF | MAE | 3.67 | 2.47(0.18) | 2.46(0.23) |
| ICC | 0.04 | 0.36(0.08) | 0.34(0.04) | |
| SVR-HCRF | MAE | 5.44 | 2.98(0.28) | 2.83(0.30) |
| ICC | 0.04 | 0.22(0.06) | 0.20(0.17) | |
| HCRF(X) | MAE | 2.8 | 2.88(0.20) | 2.91(0.39) |
| ICC | 0.19 | 0.18(0.07) | 0.22(0.14) | | | 1 |
| Algorithm | Performance | Nopersonalization | Personalizationapproach |
| --- | --- | --- | --- |
| α=0 | α=1 | α=2 | | | | Algorithm | IRCCYNDatabase | LFOVIADatabase | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| LCC | SROCC | RMSE | LCC | SROCC | RMSE | |
| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |
| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |
| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |
| BRISQUE | 0.7535 | 0.8145 | 0.6535 | 0.6182 | 0.6000 | 12.6001 |
| NIQE | 0.5729 | 0.5664 | 0.8464 | 0.7206 | 0.7376 | 11.1138 |
| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |
| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |
| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |
| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |
| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 | | 0 |
| Algorithm | Performance | Nopersonalization | Personalizationapproach | |
| --- | --- | --- | --- | --- |
| α=0 | α=1 | α=2 | | |
| HCRF(PSPI) | MAE | 2.65 | 2.18(0.05) | 2.12(0.23) |
| ICC | 0.35 | 0.49(0.03) | 0.50(0.13) | |
| RNN-HCRF | MAE | 3.67 | 2.47(0.18) | 2.46(0.23) |
| ICC | 0.04 | 0.36(0.08) | 0.34(0.04) | | | | SVR-HCRF | MAE | 5.44 | 2.98(0.28) | 2.83(0.30) |
| --- | --- | --- | --- | --- |
| ICC | 0.04 | 0.22(0.06) | 0.20(0.17) | |
| HCRF(X) | MAE | 2.8 | 2.88(0.20) | 2.91(0.39) |
| ICC | 0.19 | 0.18(0.07) | 0.22(0.14) | | | 1 |
| Algorithm | Performance | Nopersonalization | Personalizationapproach | |
| --- | --- | --- | --- | --- |
| α=0 | α=1 | α=2 | | |
| HCRF(PSPI) | MAE | 2.65 | 2.18(0.05) | 2.12(0.23) |
| ICC | 0.35 | 0.49(0.03) | 0.50(0.13) | |
| RNN-HCRF | MAE | 3.67 | 2.47(0.18) | 2.46(0.23) |
| ICC | 0.04 | 0.36(0.08) | 0.34(0.04) | | | | STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |
| --- | --- | --- | --- | --- | --- | --- |
| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |
| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |
| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |
| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 | | 0 |
| SoilCategory | SoilGoodnessValue |
| --- | --- |
| Gravel | 5 |
| Sand | 4 | | | Clay | 3 |
| --- | --- |
| Silt | 3 |
| Rock | 1 | | 1 |
| SoilCategory | SoilGoodnessValue |
| --- | --- |
| Gravel | 5 |
| Sand | 4 | | | No. | Class | Total | Training | Test | No. | Class | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |
| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |
| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |
| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |
| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |
| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |
| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |
| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 | | 0 |
| SoilCategory | SoilGoodnessValue |
| --- | --- |
| Gravel | 5 |
| Sand | 4 |
| Clay | 3 | | | Silt | 3 |
| --- | --- |
| Rock | 1 | | 1 |
| SoilCategory | SoilGoodnessValue |
| --- | --- |
| Gravel | 5 |
| Sand | 4 |
| Clay | 3 | | | 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 | | 0 |
| | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |
| --- | --- | --- | --- | --- |
| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |
| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |
| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |
| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |
| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 | | | nDCG@1 | 93.05 | 86.82 | 47.70 | 62.15 |
| --- | --- | --- | --- | --- |
| nDCG@2 | 89.60 | 81.89 | 44.63 | 57.00 |
| nDCG@3 | 87.72 | 77.22 | 42.75 | 55.20 |
| nDCG@4 | 86.35 | 72.92 | 41.34 | 54.77 |
| nDCG@5 | 85.92 | 69.13 | 40.27 | 54.84 | | 1 |
| | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |
| --- | --- | --- | --- | --- |
| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |
| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |
| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |
| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |
| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 | | | network | RM | NM | CM | AvgC | ARL | AvgS |
| --- | --- | --- | --- | --- | --- | --- |
| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |
| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |
| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |
| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |
| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |
| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |
| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |
| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |
| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |
| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |
| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |
| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |
| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |
| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |
| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |
| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |
| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |
| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |
| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |
| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |
| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |
| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |
| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |
| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |
| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |
| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |
| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |
| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |
| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |
| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |
| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |
| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |
| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |
| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 | | 0 |
| | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |
| --- | --- | --- | --- | --- |
| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |
| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |
| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |
| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |
| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 |
| nDCG@1 | 93.05 | 86.82 | 47.70 | 62.15 | | | nDCG@2 | 89.60 | 81.89 | 44.63 | 57.00 |
| --- | --- | --- | --- | --- |
| nDCG@3 | 87.72 | 77.22 | 42.75 | 55.20 |
| nDCG@4 | 86.35 | 72.92 | 41.34 | 54.77 |
| nDCG@5 | 85.92 | 69.13 | 40.27 | 54.84 | | 1 |
| | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |
| --- | --- | --- | --- | --- |
| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |
| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |
| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |
| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |
| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 |
| nDCG@1 | 93.05 | 86.82 | 47.70 | 62.15 | | | p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |
| --- | --- | --- | --- | --- | --- | --- |
| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |
| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |
| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |
| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |
| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |
| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |
| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |
| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |
| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |
| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |
| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |
| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |
| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |
| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |
| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 | | 0 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |
| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |
| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |
| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |
| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 | | | 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |
| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |
| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |
| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |
| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |
| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |
| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |
| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |
| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |
| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b | | 1 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |
| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |
| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |
| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |
| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 | | | | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |
| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |
| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |
| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |
| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |
| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |
| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |
| 7 | 2 | a | 84 | 5a | 57 | 86 | ff | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |
| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |
| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |
| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |
| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |
| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |
| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |
| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |
| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe | | 0 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |
| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |
| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |
| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |
| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |
| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |
| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |
| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |
| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |
| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |
| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |
| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |
| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 | | | d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |
| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b | | 1 |
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |
| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |
| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |
| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |
| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |
| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |
| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |
| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |
| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |
| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |
| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |
| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |
| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 | | | 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |
| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |
| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |
| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |
| 7 | 2 | a | 84 | 5a | 57 | 86 | ff | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |
| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |
| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |
| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |
| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |
| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |
| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |
| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |
| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe | | 0 |
| Strategy | RMSE±STD | Av.Time | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |
| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |
| M=5,µ=0.25,σ=0.23850 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |
| M=10,µ=0.1111,σ=0.10 | | | | | | | CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0813±0.0035<br>0.0813±0.0035<br>0.0824±0.0035<br>0.0832±0.0036 | 3.51±0.04<br>3.53±0.05<br>3.65±0.03<br>3.76±0.12 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |
| --- | --- | --- | --- | --- |
| M=20,µ=0.0526,σ=0.04980 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0795±0.0034<br>0.0794±0.0034<br>0.0795±0.0034<br>0.0804±0.0035 | 3.43±0.04<br>3.45±0.04<br>3.49±0.02<br>3.45±0.07 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |
| M=30,µ=0.0345,σ=0.03530 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0784±0.0034<br>0.0784±0.0033<br>0.0787±0.0034<br>0.0790±0.0034 | 3.68±0.03<br>3.68±0.04<br>3.67±0.03<br>3.54±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 | | 1 |
| Strategy | RMSE±STD | Av.Time | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |
| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |
| M=5,µ=0.25,σ=0.23850 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |
| M=10,µ=0.1111,σ=0.10 | | | | | | | Strategy | RMSE±STD | Av.Time | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |
| GKKM | 0.0729±0.0030 | 25.52±0.18 | 36 | 0.7760 |
| M=5,µ=0.25,σ=0.25480 | | | | |
| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0748±0.0031<br>0.0749±0.0031<br>0.0764±0.0032<br>0.0776±0.0033 | 2.99±0.10<br>3.12±0.18<br>2.85±0.06<br>2.99±0.15 | 10<br>10<br>8<br>7.13±0.97 | 0.2482<br>0.2482<br>0.2482<br>0.2331 |
| M=10,µ=0.1111,σ=0.13200 | | | | |
| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0746±0.0031<br>0.0745±0.0031<br>0.0757±0.0032<br>0.0757±0.0031 | 2.85±0.19<br>2.84±0.14<br>2.57±0.04<br>2.64±0.10 | 16<br>16<br>16<br>13.09±1.10 | 0.1108<br>0.1108<br>0.1104<br>0.0996 |
| M=20,µ=0.0526,σ=0.09650 | | | | |
| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0735±0.0029<br>0.0737±0.0029<br>0.0753±0.0031<br>0.0753±0.0031 | 2.87±0.12<br>2.96±0.17<br>2.55±0.03<br>2.56±0.04 | 21<br>21<br>20<br>15.95±1.13 | 0.0520<br>0.0520<br>0.0525<br>0.0467 |
| M=30,µ=0.0345,σ=0.05030 | | | | |
| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 | | 0 |
| Strategy | RMSE±STD | Av.Time | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |
| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |
| M=5,µ=0.25,σ=0.23850 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |
| M=10,µ=0.1111,σ=0.10 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0813±0.0035<br>0.0813±0.0035<br>0.0824±0.0035<br>0.0832±0.0036 | 3.51±0.04<br>3.53±0.05<br>3.65±0.03<br>3.76±0.12 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |
| M=20,µ=0.0526,σ=0.04980 | | | | | | | CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0795±0.0034<br>0.0794±0.0034<br>0.0795±0.0034<br>0.0804±0.0035 | 3.43±0.04<br>3.45±0.04<br>3.49±0.02<br>3.45±0.07 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |
| --- | --- | --- | --- | --- |
| M=30,µ=0.0345,σ=0.03530 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0784±0.0034<br>0.0784±0.0033<br>0.0787±0.0034<br>0.0790±0.0034 | 3.68±0.03<br>3.68±0.04<br>3.67±0.03<br>3.54±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 | | 1 |
| Strategy | RMSE±STD | Av.Time | Nb | µ |
| --- | --- | --- | --- | --- |
| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |
| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |
| M=5,µ=0.25,σ=0.23850 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |
| M=10,µ=0.1111,σ=0.10 | | | | |
| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0813±0.0035<br>0.0813±0.0035<br>0.0824±0.0035<br>0.0832±0.0036 | 3.51±0.04<br>3.53±0.05<br>3.65±0.03<br>3.76±0.12 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |
| M=20,µ=0.0526,σ=0.04980 | | | | | | | M=30,µ=0.0345,σ=0.05030 | | | | |
| --- | --- | --- | --- | --- |
| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 | | 0 |
| | P | R | F | P | R | F |
| --- | --- | --- | --- | --- | --- | --- |
| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |
| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 | | | R3-6+BT | 0.755 | 0.705 | 0.729 | 0.961 | 0.961 | 0.961 |
| --- | --- | --- | --- | --- | --- | --- |
| S+r | 0.722 | 0.63 | 0.673 | 0.979 | 0.955 | 0.967 |
| S+r+BT | 0.799 | 0.753 | 0.776 | 0.973 | 0.969 | 0.971 |
| S+BT | 0.779 | 0.714 | 0.745 | 0.969 | 0.966 | 0.968 | | 1 |
| | P | R | F | P | R | F |
| --- | --- | --- | --- | --- | --- | --- |
| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |
| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 | | | c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |
| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |
| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |
| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |
| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |
| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 | | 0 |
| | P | R | F | P | R | F |
| --- | --- | --- | --- | --- | --- | --- |
| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |
| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 | | | R3-6+BT | 0.755 | 0.705 | 0.729 | 0.961 | 0.961 | 0.961 |
| --- | --- | --- | --- | --- | --- | --- |
| S+r | 0.722 | 0.63 | 0.673 | 0.979 | 0.955 | 0.967 |
| S+r+BT | 0.799 | 0.753 | 0.776 | 0.973 | 0.969 | 0.971 |
| S+BT | 0.779 | 0.714 | 0.745 | 0.969 | 0.966 | 0.968 | | 1 |
| | P | R | F | P | R | F |
| --- | --- | --- | --- | --- | --- | --- |
| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |
| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 | | | 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |
| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 | | 0 |
| Depth=d+2 | Meank |
| --- | --- |
| d=2 | 5.58 |
| d=10 | 2.54 |
| d=20 | 1.73 | | | d=50 | 1.04 |
| --- | --- |
| d=100 | 0.67 | | 1 |
| Depth=d+2 | Meank |
| --- | --- |
| d=2 | 5.58 |
| d=10 | 2.54 |
| d=20 | 1.73 | | | Depth | Para | C-10 |
| --- | --- | --- |
| - | | 7.25 |
| 110 | 1.7M | 6.61 |
| 28 | 36.5M | 4.17 |
| 1001 | 10.2M | 4.62 |
| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |
| -<br>- | -<br>11.2M | 7.32<br>6.92 |
| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |
| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 | | 0 |
| Depth=d+2 | Meank |
| --- | --- |
| d=2 | 5.58 |
| d=10 | 2.54 |
| d=20 | 1.73 | | | d=50 | 1.04 |
| --- | --- |
| d=100 | 0.67 | | 1 |
| Depth=d+2 | Meank |
| --- | --- |
| d=2 | 5.58 |
| d=10 | 2.54 |
| d=20 | 1.73 | | | 28 | 36.5M | 4.17 |
| --- | --- | --- |
| 1001 | 10.2M | 4.62 |
| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |
| -<br>- | -<br>11.2M | 7.32<br>6.92 |
| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |
| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 | | 0 |
| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 | | | Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 | | 1 |
| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 | | | test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |
| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |
| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 | | 0 |
| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | | Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |
| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 | | 1 |
| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | | Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |
| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 | | 0 |
| Library | URL |
| --- | --- |
| zlib | http://zlib.net/ | | | boost | http://www.boost.org/ |
| --- | --- |
| lpsolve | http://sourceforge.net/projects/lpsolve/ |
| glpk | http://www.gnu.org/software/glpk/ |
| gfortran | http://gcc.gnu.org/fortran/ |
| LAPACK | http://www.netlib.org/lapack/ |
| BLAS | http://www.netlib.org/blas/index.html |
| Armadillo | http://arma.sourceforge.net/ | | 1 |
| Library | URL |
| --- | --- |
| zlib | http://zlib.net/ | | | | VIC0 | VICI | VICII | VICIII |
| --- | --- | --- | --- | --- |
| SourceLanguages | C,C++,Python,Cshell,Fortran | | | |
| Sourcefiles | 35 | 61 | 77 | 97 |
| Datafiles | 3689 | 6313 | 11460 | 11481 |
| DependencyFiles | 247 | 260 | 314 | 357 |
| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |
| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s | | 0 |
| Library | URL |
| --- | --- |
| zlib | http://zlib.net/ | | | boost | http://www.boost.org/ |
| --- | --- |
| lpsolve | http://sourceforge.net/projects/lpsolve/ |
| glpk | http://www.gnu.org/software/glpk/ |
| gfortran | http://gcc.gnu.org/fortran/ |
| LAPACK | http://www.netlib.org/lapack/ |
| BLAS | http://www.netlib.org/blas/index.html |
| Armadillo | http://arma.sourceforge.net/ | | 1 |
| Library | URL |
| --- | --- |
| zlib | http://zlib.net/ | | | SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |
| --- | --- | --- | --- | --- |
| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s | | 0 |
| #ofPHY | #ofSR | Naive(s) | Heur(s) |
| --- | --- | --- | --- |
| 128 | 100 | 1.30 | 0.03 | | | 128 | 200 | 3.23 | 0.08 |
| --- | --- | --- | --- |
| 128 | 400 | 5.37 | 0.23 |
| 128 | 800 | 11.61 | 1.00 |
| 256 | 100 | 1.93 | 0.03 |
| 256 | 200 | 4.62 | 0.08 |
| 256 | 400 | 9.47 | 0.23 |
| 256 | 800 | 22.24 | 0.98 | | 1 |
| #ofPHY | #ofSR | Naive(s) | Heur(s) |
| --- | --- | --- | --- |
| 128 | 100 | 1.30 | 0.03 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |
| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |
| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |
| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |
| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |
| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |
| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |
| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |
| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |
| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 | | 0 |
| #ofPHY | #ofSR | Naive(s) | Heur(s) |
| --- | --- | --- | --- |
| 128 | 100 | 1.30 | 0.03 |
| 128 | 200 | 3.23 | 0.08 |
| 128 | 400 | 5.37 | 0.23 |
| 128 | 800 | 11.61 | 1.00 |
| 256 | 100 | 1.93 | 0.03 | | | 256 | 200 | 4.62 | 0.08 |
| --- | --- | --- | --- |
| 256 | 400 | 9.47 | 0.23 |
| 256 | 800 | 22.24 | 0.98 | | 1 |
| #ofPHY | #ofSR | Naive(s) | Heur(s) |
| --- | --- | --- | --- |
| 128 | 100 | 1.30 | 0.03 |
| 128 | 200 | 3.23 | 0.08 |
| 128 | 400 | 5.37 | 0.23 |
| 128 | 800 | 11.61 | 1.00 |
| 256 | 100 | 1.93 | 0.03 | | | 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |
| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |
| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |
| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |
| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |
| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |
| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |
| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |
| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 | | 0 |
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