Query: 3055752094

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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: 3055752094

#1   d:0.000
#2   d:0.681
#3   d:0.683
#4   d:0.693
#5   d:0.695

#6   d:0.696
#7   d:0.697
#8   d:0.698
#9   d:0.701
#10   d:0.704

#11   d:0.704
#12   d:0.707
#13   d:0.710
#14   d:0.710
#15   d:0.711

#16   d:0.711
#17   d:0.711
#18   d:0.712
#19   d:0.713
#20   d:0.715

#21   d:0.715
#22   d:0.716
#23   d:0.716
#24   d:0.717
#25   d:0.717

#26   d:0.717
#27   d:0.718
#28   d:0.718
#29   d:0.718
#30   d:0.718

#31   d:0.718
#32   d:0.719
#33   d:0.719
#34   d:0.719
#35   d:0.719

#36   d:0.721
#37   d:0.721
#38   d:0.722
#39   d:0.722
#40   d:0.722

#41   d:0.722
#42   d:0.723
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#44   d:0.723
#45   d:0.723

#46   d:0.724
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#51   d:0.725
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#56   d:0.726
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#66   d:0.729
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#76   d:0.731
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#81   d:0.732
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#86   d:0.732
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#90   d:0.733

#91   d:0.733
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#94   d:0.733
#95   d:0.734

#96   d:0.734
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#101   d:0.735
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#106   d:0.736
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#111   d:0.736
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#116   d:0.737
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#126   d:0.737
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#131   d:0.738
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#136   d:0.739
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#140   d:0.739

#141   d:0.739
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#144   d:0.739
#145   d:0.740

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#246   d:0.749
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#251   d:0.749
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#256   d:0.749
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#261   d:0.749
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#772   d:0.768
#773   d:0.768
#774   d:0.768
#775   d:0.768

#776   d:0.768
#777   d:0.768
#778   d:0.768
#779   d:0.768
#780   d:0.768

#781   d:0.768
#782   d:0.768
#783   d:0.768
#784   d:0.768
#785   d:0.768

#786   d:0.768
#787   d:0.768
#788   d:0.768
#789   d:0.768
#790   d:0.768

#791   d:0.768
#792   d:0.768
#793   d:0.768
#794   d:0.768
#795   d:0.768

#796   d:0.768
#797   d:0.768
#798   d:0.768
#799   d:0.768
#800   d:0.768

#801   d:0.768
#802   d:0.768
#803   d:0.768
#804   d:0.768
#805   d:0.768

#806   d:0.768
#807   d:0.769
#808   d:0.769
#809   d:0.769
#810   d:0.769

#811   d:0.769
#812   d:0.769
#813   d:0.769
#814   d:0.769
#815   d:0.769

#816   d:0.769
#817   d:0.769
#818   d:0.769
#819   d:0.769
#820   d:0.769

#821   d:0.769
#822   d:0.769
#823   d:0.769
#824   d:0.769
#825   d:0.769

#826   d:0.769
#827   d:0.769
#828   d:0.769
#829   d:0.769
#830   d:0.769

#831   d:0.769
#832   d:0.769
#833   d:0.769
#834   d:0.769
#835   d:0.769

#836   d:0.769
#837   d:0.769
#838   d:0.769
#839   d:0.769
#840   d:0.769

#841   d:0.769
#842   d:0.769
#843   d:0.769
#844   d:0.769
#845   d:0.769

#846   d:0.769
#847   d:0.770
#848   d:0.770
#849   d:0.770
#850   d:0.770

#851   d:0.770
#852   d:0.770
#853   d:0.770
#854   d:0.770
#855   d:0.770

#856   d:0.770
#857   d:0.770
#858   d:0.770
#859   d:0.770
#860   d:0.770

#861   d:0.770
#862   d:0.770
#863   d:0.770
#864   d:0.770
#865   d:0.770

#866   d:0.770
#867   d:0.770
#868   d:0.770
#869   d:0.770
#870   d:0.770

#871   d:0.770
#872   d:0.770
#873   d:0.770
#874   d:0.770
#875   d:0.770

#876   d:0.770
#877   d:0.770
#878   d:0.770
#879   d:0.770
#880   d:0.770

#881   d:0.770
#882   d:0.770
#883   d:0.770
#884   d:0.770
#885   d:0.770

#886   d:0.770
#887   d:0.770
#888   d:0.770
#889   d:0.771
#890   d:0.771

#891   d:0.771
#892   d:0.771
#893   d:0.771
#894   d:0.771
#895   d:0.771

#896   d:0.771
#897   d:0.771
#898   d:0.771
#899   d:0.771
#900   d:0.771

#901   d:0.771
#902   d:0.771
#903   d:0.771
#904   d:0.771
#905   d:0.771

#906   d:0.771
#907   d:0.771
#908   d:0.771
#909   d:0.771
#910   d:0.771

#911   d:0.771
#912   d:0.771
#913   d:0.771
#914   d:0.771
#915   d:0.771

#916   d:0.771
#917   d:0.771
#918   d:0.771
#919   d:0.771
#920   d:0.771

#921   d:0.771
#922   d:0.771
#923   d:0.771
#924   d:0.771
#925   d:0.771

#926   d:0.771
#927   d:0.771
#928   d:0.771
#929   d:0.771
#930   d:0.771

#931   d:0.771
#932   d:0.771
#933   d:0.771
#934   d:0.771
#935   d:0.771

#936   d:0.771
#937   d:0.771
#938   d:0.771
#939   d:0.771
#940   d:0.771

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

#946   d:0.771
#947   d:0.771
#948   d:0.771
#949   d:0.772
#950   d:0.772

#951   d:0.772
#952   d:0.772
#953   d:0.772
#954   d:0.772
#955   d:0.772

#956   d:0.772
#957   d:0.772
#958   d:0.772
#959   d:0.772
#960   d:0.772

#961   d:0.772
#962   d:0.772
#963   d:0.772
#964   d:0.772
#965   d:0.772

#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:0.772
#987   d:0.772
#988   d:0.772
#989   d:0.772
#990   d:0.772

#991   d:0.772
#992   d:0.772
#993   d:0.772
#994   d:0.772
#995   d:0.772

#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 |