Query: 4634372886

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Select the k-NN search approach:
Exact Search    
Perms    
Perms,re-rank(SimplexNormMean)     Perms,re-rank(SimplexNormZenith)     Perms,re-rank(SimplexMean)     Perms,re-rank(SimplexZenith)     Perms,re-rank(SimplexLwb)     Perms,re-rank(SimplexUpb)    
Perms,re-rank(PivotedEmbeddingMean)     Perms,re-rank(PivotedEmbeddingLwb)     Perms,re-rank(PivotedEmbeddingUpb)    

Select dataset size in Millions:
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Query: 4634372886

#1   d:0.000
#2   d:0.639
#3   d:0.641
#4   d:0.647
#5   d:0.650

#6   d:0.651
#7   d:0.651
#8   d:0.653
#9   d:0.659
#10   d:0.662

#11   d:0.663
#12   d:0.666
#13   d:0.667
#14   d:0.667
#15   d:0.669

#16   d:0.671
#17   d:0.672
#18   d:0.673
#19   d:0.673
#20   d:0.675

#21   d:0.675
#22   d:0.676
#23   d:0.676
#24   d:0.678
#25   d:0.680

#26   d:0.680
#27   d:0.682
#28   d:0.682
#29   d:0.684
#30   d:0.685

#31   d:0.686
#32   d:0.687
#33   d:0.689
#34   d:0.689
#35   d:0.690

#36   d:0.690
#37   d:0.691
#38   d:0.691
#39   d:0.691
#40   d:0.693

#41   d:0.693
#42   d:0.694
#43   d:0.695
#44   d:0.695
#45   d:0.695

#46   d:0.696
#47   d:0.696
#48   d:0.696
#49   d:0.696
#50   d:0.696

#51   d:0.697
#52   d:0.697
#53   d:0.698
#54   d:0.698
#55   d:0.698

#56   d:0.700
#57   d:0.700
#58   d:0.700
#59   d:0.701
#60   d:0.701

#61   d:0.701
#62   d:0.702
#63   d:0.702
#64   d:0.702
#65   d:0.702

#66   d:0.702
#67   d:0.703
#68   d:0.703
#69   d:0.704
#70   d:0.704

#71   d:0.705
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#75   d:0.705

#76   d:0.706
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#79   d:0.707
#80   d:0.707

#81   d:0.707
#82   d:0.708
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#84   d:0.708
#85   d:0.709

#86   d:0.709
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#91   d:0.709
#92   d:0.709
#93   d:0.709
#94   d:0.709
#95   d:0.709

#96   d:0.710
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#98   d:0.711
#99   d:0.711
#100   d:0.711

#101   d:0.712
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#106   d:0.712
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#110   d:0.713

#111   d:0.713
#112   d:0.713
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#114   d:0.713
#115   d:0.714

#116   d:0.714
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#118   d:0.714
#119   d:0.714
#120   d:0.714

#121   d:0.715
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#125   d:0.715

#126   d:0.716
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#131   d:0.716
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#136   d:0.717
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#140   d:0.717

#141   d:0.717
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#143   d:0.717
#144   d:0.718
#145   d:0.718

#146   d:0.719
#147   d:0.719
#148   d:0.719
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#150   d:0.719

#151   d:0.719
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#154   d:0.719
#155   d:0.719

#156   d:0.719
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#159   d:0.720
#160   d:0.720

#161   d:0.720
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#166   d:0.721
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#170   d:0.721

#171   d:0.721
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#176   d:0.723
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#181   d:0.723
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#184   d:0.723
#185   d:0.723

#186   d:0.723
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#190   d:0.725

#191   d:0.725
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#196   d:0.726
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#201   d:0.726
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#206   d:0.727
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#221   d:0.728
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#231   d:0.729
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#236   d:0.730
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#245   d:0.730

#246   d:0.730
#247   d:0.731
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#249   d:0.731
#250   d:0.731

#251   d:0.731
#252   d:0.731
#253   d:0.731
#254   d:0.731
#255   d:0.731

#256   d:0.731
#257   d:0.731
#258   d:0.731
#259   d:0.732
#260   d:0.732

#261   d:0.732
#262   d:0.732
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#265   d:0.732

#266   d:0.732
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#271   d:0.732
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#275   d:0.732

#276   d:0.732
#277   d:0.732
#278   d:0.732
#279   d:0.733
#280   d:0.733

#281   d:0.733
#282   d:0.733
#283   d:0.733
#284   d:0.733
#285   d:0.733

#286   d:0.733
#287   d:0.733
#288   d:0.733
#289   d:0.733
#290   d:0.734

#291   d:0.734
#292   d:0.734
#293   d:0.734
#294   d:0.734
#295   d:0.734

#296   d:0.734
#297   d:0.734
#298   d:0.734
#299   d:0.734
#300   d:0.734

#301   d:0.734
#302   d:0.734
#303   d:0.734
#304   d:0.735
#305   d:0.735

#306   d:0.735
#307   d:0.735
#308   d:0.735
#309   d:0.735
#310   d:0.735

#311   d:0.735
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#315   d:0.735

#316   d:0.736
#317   d:0.736
#318   d:0.736
#319   d:0.736
#320   d:0.736

#321   d:0.736
#322   d:0.736
#323   d:0.737
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#325   d:0.737

#326   d:0.737
#327   d:0.737
#328   d:0.737
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#331   d:0.737
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#336   d:0.737
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#340   d:0.738

#341   d:0.738
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#346   d:0.738
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#350   d:0.738

#351   d:0.738
#352   d:0.738
#353   d:0.738
#354   d:0.738
#355   d:0.738

#356   d:0.738
#357   d:0.738
#358   d:0.738
#359   d:0.738
#360   d:0.738

#361   d:0.739
#362   d:0.739
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#364   d:0.739
#365   d:0.739

#366   d:0.739
#367   d:0.739
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#369   d:0.739
#370   d:0.739

#371   d:0.739
#372   d:0.739
#373   d:0.739
#374   d:0.739
#375   d:0.739

#376   d:0.739
#377   d:0.739
#378   d:0.740
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#380   d:0.740

#381   d:0.740
#382   d:0.740
#383   d:0.740
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#386   d:0.740
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#389   d:0.740
#390   d:0.740

#391   d:0.740
#392   d:0.740
#393   d:0.740
#394   d:0.740
#395   d:0.741

#396   d:0.741
#397   d:0.741
#398   d:0.741
#399   d:0.741
#400   d:0.741

#401   d:0.741
#402   d:0.741
#403   d:0.741
#404   d:0.741
#405   d:0.741

#406   d:0.741
#407   d:0.742
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#409   d:0.742
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#411   d:0.742
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#413   d:0.742
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#416   d:0.742
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#421   d:0.742
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#426   d:0.743
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#431   d:0.743
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#456   d:0.745
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#767   d:0.755
#768   d:0.755
#769   d:0.755
#770   d:0.756

#771   d:0.756
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#775   d:0.756

#776   d:0.756
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#784   d:0.756
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#789   d:0.756
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#791   d:0.756
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#801   d:0.757
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#805   d:0.757

#806   d:0.757
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#810   d:0.757

#811   d:0.757
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#814   d:0.757
#815   d:0.757

#816   d:0.757
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#818   d:0.757
#819   d:0.757
#820   d:0.757

#821   d:0.757
#822   d:0.757
#823   d:0.757
#824   d:0.757
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#826   d:0.757
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#829   d:0.758
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#831   d:0.758
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#836   d:0.758
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#901   d:0.760
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#906   d:0.760
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#911   d:0.760
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#914   d:0.760
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#916   d:0.760
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#921   d:0.760
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#926   d:0.761
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#931   d:0.761
#932   d:0.761
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#935   d:0.761

#936   d:0.761
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#938   d:0.761
#939   d:0.761
#940   d:0.761

#941   d:0.761
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#945   d:0.761

#946   d:0.761
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#951   d:0.761
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#955   d:0.762

#956   d:0.762
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#959   d:0.762
#960   d:0.762

#961   d:0.762
#962   d:0.762
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#964   d:0.762
#965   d:0.762

#966   d:0.762
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#971   d:0.762
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#975   d:0.762

#976   d:0.762
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#980   d:0.762

#981   d:0.762
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#983   d:0.762
#984   d:0.762
#985   d:0.762

#986   d:0.762
#987   d:0.762
#988   d:0.762
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#990   d:0.762

#991   d:0.762
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#994   d:0.762
#995   d:0.762

#996   d:0.762
#997   d:0.762
#998   d:0.763
#999   d:0.763
#1000   d:0.763
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |