Query: 5637507906

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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: 5637507906

#1   d:0.000
#2   d:0.683
#3   d:0.686
#4   d:0.694
#5   d:0.695

#6   d:0.697
#7   d:0.698
#8   d:0.700
#9   d:0.705
#10   d:0.714

#11   d:0.714
#12   d:0.714
#13   d:0.716
#14   d:0.716
#15   d:0.716

#16   d:0.717
#17   d:0.717
#18   d:0.717
#19   d:0.717
#20   d:0.718

#21   d:0.718
#22   d:0.718
#23   d:0.718
#24   d:0.719
#25   d:0.720

#26   d:0.721
#27   d:0.722
#28   d:0.722
#29   d:0.723
#30   d:0.723

#31   d:0.723
#32   d:0.724
#33   d:0.724
#34   d:0.724
#35   d:0.724

#36   d:0.724
#37   d:0.725
#38   d:0.725
#39   d:0.726
#40   d:0.727

#41   d:0.727
#42   d:0.728
#43   d:0.728
#44   d:0.728
#45   d:0.729

#46   d:0.729
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#48   d:0.729
#49   d:0.729
#50   d:0.730

#51   d:0.731
#52   d:0.731
#53   d:0.731
#54   d:0.731
#55   d:0.732

#56   d:0.732
#57   d:0.732
#58   d:0.733
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#60   d:0.733

#61   d:0.733
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#64   d:0.733
#65   d:0.733

#66   d:0.733
#67   d:0.733
#68   d:0.733
#69   d:0.734
#70   d:0.734

#71   d:0.735
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#76   d:0.735
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#79   d:0.736
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#81   d:0.736
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#85   d:0.737

#86   d:0.737
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#90   d:0.737

#91   d:0.738
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#94   d:0.738
#95   d:0.738

#96   d:0.738
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#100   d:0.738

#101   d:0.738
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#105   d:0.739

#106   d:0.739
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#110   d:0.739

#111   d:0.739
#112   d:0.739
#113   d:0.739
#114   d:0.739
#115   d:0.739

#116   d:0.740
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#120   d:0.740

#121   d:0.740
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#125   d:0.741

#126   d:0.741
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#131   d:0.741
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#136   d:0.742
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#139   d:0.742
#140   d:0.742

#141   d:0.743
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#145   d:0.743

#146   d:0.743
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#156   d:0.744
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#176   d:0.746
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#186   d:0.746
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#206   d:0.748
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#231   d:0.749
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#234   d:0.749
#235   d:0.749

#236   d:0.749
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#240   d:0.750

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#296   d:0.753
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#769   d:0.768
#770   d:0.768

#771   d:0.768
#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:0.768
#808   d:0.768
#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:0.769
#848   d:0.769
#849   d:0.769
#850   d:0.769

#851   d:0.769
#852   d:0.769
#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:0.770
#890   d:0.770

#891   d:0.770
#892   d:0.770
#893   d:0.770
#894   d:0.770
#895   d:0.770

#896   d:0.770
#897   d:0.770
#898   d:0.770
#899   d:0.770
#900   d:0.770

#901   d:0.770
#902   d:0.770
#903   d:0.770
#904   d:0.770
#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:0.771
#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:0.772
#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:0.772
#997   d:0.772
#998   d:0.772
#999   d:0.772
#1000   d:0.772
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |