Query: 9849239515

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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: 9849239515

#1   d:0.000
#2   d:0.147
#3   d:0.161
#4   d:0.205
#5   d:0.469

#6   d:0.589
#7   d:0.595
#8   d:0.607
#9   d:0.607
#10   d:0.612

#11   d:0.615
#12   d:0.622
#13   d:0.628
#14   d:0.632
#15   d:0.632

#16   d:0.635
#17   d:0.637
#18   d:0.637
#19   d:0.640
#20   d:0.642

#21   d:0.644
#22   d:0.645
#23   d:0.647
#24   d:0.649
#25   d:0.649

#26   d:0.650
#27   d:0.650
#28   d:0.651
#29   d:0.651
#30   d:0.651

#31   d:0.653
#32   d:0.653
#33   d:0.654
#34   d:0.655
#35   d:0.657

#36   d:0.659
#37   d:0.661
#38   d:0.661
#39   d:0.662
#40   d:0.662

#41   d:0.663
#42   d:0.665
#43   d:0.668
#44   d:0.670
#45   d:0.670

#46   d:0.670
#47   d:0.672
#48   d:0.672
#49   d:0.672
#50   d:0.673

#51   d:0.674
#52   d:0.675
#53   d:0.677
#54   d:0.678
#55   d:0.681

#56   d:0.682
#57   d:0.682
#58   d:0.682
#59   d:0.683
#60   d:0.684

#61   d:0.685
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#66   d:0.687
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#70   d:0.688

#71   d:0.689
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#76   d:0.692
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#81   d:0.695
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#86   d:0.700
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#91   d:0.702
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#95   d:0.706

#96   d:0.706
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#98   d:0.707
#99   d:0.707
#100   d:0.708

#101   d:0.708
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#106   d:0.712
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#111   d:0.714
#112   d:0.714
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#116   d:0.716
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#121   d:0.717
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#126   d:0.718
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#131   d:0.721
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#135   d:0.721

#136   d:0.721
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#138   d:0.722
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#140   d:0.723

#141   d:0.723
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#145   d:0.724

#146   d:0.725
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#151   d:0.726
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#156   d:0.727
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#161   d:0.728
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#166   d:0.728
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#170   d:0.729

#171   d:0.729
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#175   d:0.731

#176   d:0.731
#177   d:0.731
#178   d:0.732
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#180   d:0.733

#181   d:0.734
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#184   d:0.734
#185   d:0.735

#186   d:0.735
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#190   d:0.736

#191   d:0.736
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#194   d:0.737
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#196   d:0.737
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#200   d:0.738

#201   d:0.739
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#206   d:0.739
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#221   d:0.741
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#225   d:0.742

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#246   d:0.745
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#250   d:0.747

#251   d:0.747
#252   d:0.747
#253   d:0.747
#254   d:0.747
#255   d:0.747

#256   d:0.748
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#259   d:0.750
#260   d:0.750

#261   d:0.750
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#276   d:0.752
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#286   d:0.753
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#291   d:0.754
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#296   d:0.755
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#306   d:0.756
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#311   d:0.756
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#331   d:0.759
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#336   d:0.760
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#346   d:0.761
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#371   d:0.763
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#376   d:0.764
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#380   d:0.764

#381   d:0.765
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#386   d:0.765
#387   d:0.766
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#396   d:0.767
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#401   d:0.767
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#406   d:0.768
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#411   d:0.769
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#416   d:0.769
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#421   d:0.769
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#821   d:0.793
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#926   d:0.798
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#936   d:0.798
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#941   d:0.798
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#946   d:0.799
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#956   d:0.799
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#959   d:0.799
#960   d:0.799

#961   d:0.800
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#976   d:0.800
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#995   d:0.801

#996   d:0.801
#997   d:0.801
#998   d:0.801
#999   d:0.801
#1000   d:0.801
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |