Query: 6135371605

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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:
1  2  3  4  5  6  7  8  9  10  20  30  40  50  60  70  80  90  96 


Query: 6135371605

#1   d:0.000
#2   d:0.572
#3   d:0.594
#4   d:0.594
#5   d:0.599

#6   d:0.601
#7   d:0.602
#8   d:0.616
#9   d:0.621
#10   d:0.626

#11   d:0.629
#12   d:0.632
#13   d:0.633
#14   d:0.633
#15   d:0.635

#16   d:0.636
#17   d:0.638
#18   d:0.638
#19   d:0.638
#20   d:0.638

#21   d:0.639
#22   d:0.640
#23   d:0.640
#24   d:0.641
#25   d:0.642

#26   d:0.642
#27   d:0.647
#28   d:0.647
#29   d:0.651
#30   d:0.652

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

#36   d:0.655
#37   d:0.656
#38   d:0.657
#39   d:0.657
#40   d:0.658

#41   d:0.658
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#44   d:0.662
#45   d:0.663

#46   d:0.663
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#51   d:0.668
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#55   d:0.670

#56   d:0.671
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#59   d:0.673
#60   d:0.674

#61   d:0.674
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#66   d:0.675
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#71   d:0.677
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#76   d:0.679
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#81   d:0.681
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#86   d:0.683
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#91   d:0.684
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#96   d:0.686
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#106   d:0.688
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#111   d:0.689
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#116   d:0.691
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#121   d:0.691
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#131   d:0.694
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#136   d:0.696
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#141   d:0.697
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#146   d:0.697
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#151   d:0.698
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#156   d:0.700
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#256   d:0.715
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#276   d:0.719
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#281   d:0.719
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#286   d:0.720
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#296   d:0.721
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#306   d:0.723
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#311   d:0.724
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#316   d:0.725
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#381   d:0.731
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#391   d:0.731
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#406   d:0.733
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#416   d:0.734
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#774   d:0.762
#775   d:0.762

#776   d:0.762
#777   d:0.762
#778   d:0.762
#779   d:0.762
#780   d:0.762

#781   d:0.762
#782   d:0.762
#783   d:0.762
#784   d:0.762
#785   d:0.762

#786   d:0.762
#787   d:0.763
#788   d:0.763
#789   d:0.763
#790   d:0.763

#791   d:0.763
#792   d:0.763
#793   d:0.763
#794   d:0.763
#795   d:0.763

#796   d:0.763
#797   d:0.763
#798   d:0.763
#799   d:0.763
#800   d:0.763

#801   d:0.763
#802   d:0.763
#803   d:0.763
#804   d:0.763
#805   d:0.763

#806   d:0.763
#807   d:0.763
#808   d:0.763
#809   d:0.763
#810   d:0.764

#811   d:0.764
#812   d:0.764
#813   d:0.764
#814   d:0.764
#815   d:0.764

#816   d:0.764
#817   d:0.764
#818   d:0.764
#819   d:0.764
#820   d:0.764

#821   d:0.764
#822   d:0.764
#823   d:0.764
#824   d:0.764
#825   d:0.764

#826   d:0.764
#827   d:0.764
#828   d:0.764
#829   d:0.764
#830   d:0.764

#831   d:0.764
#832   d:0.764
#833   d:0.764
#834   d:0.765
#835   d:0.765

#836   d:0.765
#837   d:0.765
#838   d:0.765
#839   d:0.765
#840   d:0.765

#841   d:0.765
#842   d:0.765
#843   d:0.765
#844   d:0.765
#845   d:0.765

#846   d:0.765
#847   d:0.765
#848   d:0.765
#849   d:0.765
#850   d:0.766

#851   d:0.766
#852   d:0.766
#853   d:0.766
#854   d:0.766
#855   d:0.766

#856   d:0.766
#857   d:0.766
#858   d:0.766
#859   d:0.766
#860   d:0.766

#861   d:0.766
#862   d:0.766
#863   d:0.766
#864   d:0.766
#865   d:0.766

#866   d:0.766
#867   d:0.767
#868   d:0.767
#869   d:0.767
#870   d:0.767

#871   d:0.767
#872   d:0.767
#873   d:0.767
#874   d:0.767
#875   d:0.767

#876   d:0.767
#877   d:0.767
#878   d:0.767
#879   d:0.767
#880   d:0.767

#881   d:0.767
#882   d:0.767
#883   d:0.767
#884   d:0.767
#885   d:0.767

#886   d:0.767
#887   d:0.768
#888   d:0.768
#889   d:0.768
#890   d:0.768

#891   d:0.768
#892   d:0.768
#893   d:0.768
#894   d:0.768
#895   d:0.768

#896   d:0.768
#897   d:0.768
#898   d:0.768
#899   d:0.768
#900   d:0.769

#901   d:0.769
#902   d:0.769
#903   d:0.769
#904   d:0.769
#905   d:0.769

#906   d:0.769
#907   d:0.769
#908   d:0.769
#909   d:0.769
#910   d:0.769

#911   d:0.769
#912   d:0.769
#913   d:0.769
#914   d:0.769
#915   d:0.769

#916   d:0.769
#917   d:0.770
#918   d:0.770
#919   d:0.770
#920   d:0.770

#921   d:0.770
#922   d:0.770
#923   d:0.770
#924   d:0.770
#925   d:0.770

#926   d:0.770
#927   d:0.770
#928   d:0.770
#929   d:0.770
#930   d:0.770

#931   d:0.770
#932   d:0.770
#933   d:0.770
#934   d:0.770
#935   d:0.770

#936   d:0.770
#937   d:0.770
#938   d:0.770
#939   d:0.770
#940   d:0.770

#941   d:0.770
#942   d:0.770
#943   d:0.770
#944   d:0.771
#945   d:0.771

#946   d:0.771
#947   d:0.771
#948   d:0.771
#949   d:0.771
#950   d:0.771

#951   d:0.771
#952   d:0.771
#953   d:0.771
#954   d:0.771
#955   d:0.771

#956   d:0.771
#957   d:0.771
#958   d:0.771
#959   d:0.771
#960   d:0.771

#961   d:0.771
#962   d:0.771
#963   d:0.771
#964   d:0.771
#965   d:0.771

#966   d:0.772
#967   d:0.772
#968   d:0.772
#969   d:0.772
#970   d:0.772

#971   d:0.772
#972   d:0.772
#973   d:0.772
#974   d:0.772
#975   d:0.772

#976   d:0.772
#977   d:0.772
#978   d:0.772
#979   d:0.772
#980   d:0.772

#981   d:0.772
#982   d:0.772
#983   d:0.772
#984   d:0.772
#985   d:0.772

#986   d:0.773
#987   d:0.773
#988   d:0.773
#989   d:0.773
#990   d:0.773

#991   d:0.773
#992   d:0.773
#993   d:0.773
#994   d:0.773
#995   d:0.773

#996   d:0.773
#997   d:0.773
#998   d:0.773
#999   d:0.773
#1000   d:0.773
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |