Query: 7568045998

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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: 7568045998

#1   d:0.000
#2   d:0.491
#3   d:0.596
#4   d:0.662
#5   d:0.662

#6   d:0.662
#7   d:0.663
#8   d:0.664
#9   d:0.668
#10   d:0.670

#11   d:0.673
#12   d:0.673
#13   d:0.675
#14   d:0.675
#15   d:0.678

#16   d:0.678
#17   d:0.680
#18   d:0.680
#19   d:0.682
#20   d:0.682

#21   d:0.682
#22   d:0.683
#23   d:0.684
#24   d:0.684
#25   d:0.685

#26   d:0.685
#27   d:0.686
#28   d:0.688
#29   d:0.688
#30   d:0.688

#31   d:0.689
#32   d:0.690
#33   d:0.691
#34   d:0.693
#35   d:0.693

#36   d:0.694
#37   d:0.694
#38   d:0.694
#39   d:0.694
#40   d:0.695

#41   d:0.695
#42   d:0.695
#43   d:0.696
#44   d:0.696
#45   d:0.698

#46   d:0.699
#47   d:0.699
#48   d:0.699
#49   d:0.700
#50   d:0.701

#51   d:0.701
#52   d:0.701
#53   d:0.701
#54   d:0.701
#55   d:0.702

#56   d:0.702
#57   d:0.702
#58   d:0.703
#59   d:0.703
#60   d:0.703

#61   d:0.703
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#64   d:0.704
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#66   d:0.705
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#68   d:0.706
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#71   d:0.707
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#76   d:0.708
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#81   d:0.709
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#86   d:0.710
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#91   d:0.711
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#96   d:0.712
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#101   d:0.712
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#106   d:0.713
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#110   d:0.714

#111   d:0.714
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#116   d:0.714
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#121   d:0.715
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#131   d:0.717
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#140   d:0.719

#141   d:0.719
#142   d:0.719
#143   d:0.720
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#146   d:0.720
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#151   d:0.721
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#156   d:0.721
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#166   d:0.722
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#171   d:0.723
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#176   d:0.723
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#181   d:0.724
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#246   d:0.730
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#250   d:0.730

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

#256   d:0.731
#257   d:0.732
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#261   d:0.732
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#266   d:0.732
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#271   d:0.733
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#275   d:0.733

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

#281   d:0.733
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#283   d:0.734
#284   d:0.734
#285   d:0.734

#286   d:0.734
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#288   d:0.734
#289   d:0.734
#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
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#299   d:0.734
#300   d:0.734

#301   d:0.735
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#306   d:0.735
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#326   d:0.736
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#331   d:0.736
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#336   d:0.736
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#361   d:0.738
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#366   d:0.738
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#371   d:0.738
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#376   d:0.739
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#381   d:0.739
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#385   d:0.740

#386   d:0.740
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#396   d:0.740
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#398   d:0.741
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#401   d:0.741
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#406   d:0.741
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#411   d:0.741
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#416   d:0.742
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#769   d:0.757
#770   d:0.757

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#815   d:0.758

#816   d:0.758
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#936   d:0.761
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#941   d:0.761
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#956   d:0.761
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#960   d:0.762

#961   d:0.762
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#966   d:0.762
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#971   d:0.762
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#976   d:0.762
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#981   d:0.762
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#985   d:0.762

#986   d:0.762
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#991   d:0.762
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#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 |