Query: 12065567975

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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: 12065567975

#1   d:0.000
#2   d:0.526
#3   d:0.643
#4   d:0.644
#5   d:0.647

#6   d:0.650
#7   d:0.656
#8   d:0.662
#9   d:0.677
#10   d:0.678

#11   d:0.679
#12   d:0.682
#13   d:0.682
#14   d:0.682
#15   d:0.683

#16   d:0.684
#17   d:0.684
#18   d:0.684
#19   d:0.684
#20   d:0.684

#21   d:0.684
#22   d:0.685
#23   d:0.686
#24   d:0.686
#25   d:0.688

#26   d:0.689
#27   d:0.690
#28   d:0.691
#29   d:0.692
#30   d:0.693

#31   d:0.694
#32   d:0.695
#33   d:0.695
#34   d:0.696
#35   d:0.697

#36   d:0.697
#37   d:0.698
#38   d:0.699
#39   d:0.699
#40   d:0.699

#41   d:0.701
#42   d:0.701
#43   d:0.701
#44   d:0.701
#45   d:0.702

#46   d:0.702
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#51   d:0.704
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#56   d:0.705
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#59   d:0.706
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#61   d:0.707
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#66   d:0.708
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#71   d:0.709
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#76   d:0.710
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#81   d:0.711
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#86   d:0.712
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#91   d:0.713
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#96   d:0.714
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#100   d:0.714

#101   d:0.714
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#106   d:0.715
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#111   d:0.716
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#116   d:0.717
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#126   d:0.719
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#131   d:0.719
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#136   d:0.720
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#141   d:0.720
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#145   d:0.721

#146   d:0.721
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#151   d:0.722
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#156   d:0.723
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#161   d:0.723
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#166   d:0.724
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#170   d:0.724

#171   d:0.725
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#176   d:0.726
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#231   d:0.731
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#235   d:0.731

#236   d:0.731
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#246   d:0.732
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#251   d:0.733
#252   d:0.733
#253   d:0.733
#254   d:0.733
#255   d:0.733

#256   d:0.733
#257   d:0.733
#258   d:0.733
#259   d:0.733
#260   d:0.733

#261   d:0.733
#262   d:0.733
#263   d:0.733
#264   d:0.733
#265   d:0.733

#266   d:0.733
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#268   d:0.734
#269   d:0.734
#270   d:0.734

#271   d:0.734
#272   d:0.734
#273   d:0.734
#274   d:0.734
#275   d:0.734

#276   d:0.734
#277   d:0.734
#278   d:0.734
#279   d:0.734
#280   d:0.734

#281   d:0.735
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#285   d:0.735

#286   d:0.735
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#291   d:0.735
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#293   d:0.735
#294   d:0.735
#295   d:0.735

#296   d:0.736
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#299   d:0.736
#300   d:0.736

#301   d:0.736
#302   d:0.736
#303   d:0.736
#304   d:0.736
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#306   d:0.736
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#311   d:0.736
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#315   d:0.736

#316   d:0.736
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#320   d:0.736

#321   d:0.737
#322   d:0.737
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#326   d:0.737
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#336   d:0.738
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#348   d:0.739
#349   d:0.739
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#351   d:0.739
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#353   d:0.740
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#376   d:0.741
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#381   d:0.741
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#391   d:0.742
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#396   d:0.742
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#401   d:0.742
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#403   d:0.742
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#406   d:0.742
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#411   d:0.742
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#766   d:0.756
#767   d:0.756
#768   d:0.756
#769   d:0.756
#770   d:0.756

#771   d:0.756
#772   d:0.756
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#774   d:0.756
#775   d:0.756

#776   d:0.756
#777   d:0.756
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#780   d:0.756

#781   d:0.757
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#784   d:0.757
#785   d:0.757

#786   d:0.757
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#788   d:0.757
#789   d:0.757
#790   d:0.757

#791   d:0.757
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#795   d:0.757

#796   d:0.757
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#799   d:0.757
#800   d:0.757

#801   d:0.757
#802   d:0.757
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#804   d:0.757
#805   d:0.757

#806   d:0.757
#807   d:0.757
#808   d:0.757
#809   d:0.757
#810   d:0.757

#811   d:0.758
#812   d:0.758
#813   d:0.758
#814   d:0.758
#815   d:0.758

#816   d:0.758
#817   d:0.758
#818   d:0.758
#819   d:0.758
#820   d:0.758

#821   d:0.758
#822   d:0.758
#823   d:0.758
#824   d:0.758
#825   d:0.758

#826   d:0.758
#827   d:0.758
#828   d:0.758
#829   d:0.758
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#831   d:0.758
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#834   d:0.758
#835   d:0.758

#836   d:0.758
#837   d:0.758
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#839   d:0.758
#840   d:0.758

#841   d:0.758
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#845   d:0.758

#846   d:0.758
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#881   d:0.759
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#886   d:0.759
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#890   d:0.759

#891   d:0.759
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#895   d:0.759

#896   d:0.760
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#901   d:0.760
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#905   d:0.760

#906   d:0.760
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#910   d:0.760

#911   d:0.760
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#913   d:0.760
#914   d:0.760
#915   d:0.760

#916   d:0.760
#917   d:0.760
#918   d:0.760
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#920   d:0.760

#921   d:0.760
#922   d:0.760
#923   d:0.760
#924   d:0.760
#925   d:0.760

#926   d:0.760
#927   d:0.761
#928   d:0.761
#929   d:0.761
#930   d:0.761

#931   d:0.761
#932   d:0.761
#933   d:0.761
#934   d:0.761
#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
#942   d:0.761
#943   d:0.761
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#945   d:0.761

#946   d:0.761
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#948   d:0.761
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#950   d:0.761

#951   d:0.761
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#955   d:0.761

#956   d:0.761
#957   d:0.761
#958   d:0.761
#959   d:0.761
#960   d:0.761

#961   d:0.761
#962   d:0.761
#963   d:0.761
#964   d:0.761
#965   d:0.761

#966   d:0.761
#967   d:0.761
#968   d:0.761
#969   d:0.761
#970   d:0.761

#971   d:0.761
#972   d:0.761
#973   d:0.761
#974   d:0.761
#975   d:0.762

#976   d:0.762
#977   d:0.762
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#979   d:0.762
#980   d:0.762

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

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

#991   d:0.762
#992   d:0.762
#993   d:0.762
#994   d:0.762
#995   d:0.762

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