Query: 4219878166

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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: 4219878166

#1   d:0.000
#2   d:0.671
#3   d:0.679
#4   d:0.683
#5   d:0.684

#6   d:0.684
#7   d:0.685
#8   d:0.686
#9   d:0.688
#10   d:0.689

#11   d:0.691
#12   d:0.694
#13   d:0.695
#14   d:0.695
#15   d:0.696

#16   d:0.696
#17   d:0.696
#18   d:0.696
#19   d:0.697
#20   d:0.697

#21   d:0.698
#22   d:0.698
#23   d:0.698
#24   d:0.699
#25   d:0.699

#26   d:0.699
#27   d:0.699
#28   d:0.699
#29   d:0.700
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#31   d:0.700
#32   d:0.701
#33   d:0.701
#34   d:0.701
#35   d:0.702

#36   d:0.703
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#38   d:0.704
#39   d:0.705
#40   d:0.706

#41   d:0.706
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#46   d:0.708
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#61   d:0.715
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#81   d:0.719
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#86   d:0.720
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#91   d:0.721
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#96   d:0.722
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#101   d:0.723
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#106   d:0.724
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#111   d:0.725
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#151   d:0.729
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#156   d:0.730
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#191   d:0.733
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#195   d:0.734

#196   d:0.734
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#231   d:0.736
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#246   d:0.738
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#251   d:0.739
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#255   d:0.739

#256   d:0.739
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#261   d:0.739
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#266   d:0.739
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#286   d:0.741
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#290   d:0.742

#291   d:0.742
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#296   d:0.742
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#356   d:0.746
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#772   d:0.765
#773   d:0.765
#774   d:0.765
#775   d:0.765

#776   d:0.765
#777   d:0.765
#778   d:0.765
#779   d:0.765
#780   d:0.765

#781   d:0.765
#782   d:0.765
#783   d:0.765
#784   d:0.765
#785   d:0.765

#786   d:0.765
#787   d:0.765
#788   d:0.765
#789   d:0.765
#790   d:0.765

#791   d:0.765
#792   d:0.765
#793   d:0.765
#794   d:0.765
#795   d:0.765

#796   d:0.765
#797   d:0.765
#798   d:0.765
#799   d:0.765
#800   d:0.765

#801   d:0.765
#802   d:0.766
#803   d:0.766
#804   d:0.766
#805   d:0.766

#806   d:0.766
#807   d:0.766
#808   d:0.766
#809   d:0.766
#810   d:0.766

#811   d:0.766
#812   d:0.766
#813   d:0.766
#814   d:0.766
#815   d:0.766

#816   d:0.766
#817   d:0.766
#818   d:0.766
#819   d:0.766
#820   d:0.766

#821   d:0.766
#822   d:0.766
#823   d:0.766
#824   d:0.766
#825   d:0.766

#826   d:0.766
#827   d:0.766
#828   d:0.766
#829   d:0.766
#830   d:0.766

#831   d:0.766
#832   d:0.766
#833   d:0.766
#834   d:0.766
#835   d:0.766

#836   d:0.766
#837   d:0.766
#838   d:0.766
#839   d:0.766
#840   d:0.766

#841   d:0.766
#842   d:0.766
#843   d:0.766
#844   d:0.766
#845   d:0.766

#846   d:0.766
#847   d:0.766
#848   d:0.767
#849   d:0.767
#850   d:0.767

#851   d:0.767
#852   d:0.767
#853   d:0.767
#854   d:0.767
#855   d:0.767

#856   d:0.767
#857   d:0.767
#858   d:0.767
#859   d:0.767
#860   d:0.767

#861   d:0.767
#862   d:0.767
#863   d:0.767
#864   d:0.767
#865   d:0.767

#866   d:0.767
#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:0.768
#883   d:0.768
#884   d:0.768
#885   d:0.768

#886   d:0.768
#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:0.768

#901   d:0.768
#902   d:0.768
#903   d:0.768
#904   d:0.768
#905   d:0.768

#906   d:0.768
#907   d:0.768
#908   d:0.768
#909   d:0.768
#910   d:0.768

#911   d:0.768
#912   d:0.768
#913   d:0.768
#914   d:0.768
#915   d:0.768

#916   d:0.768
#917   d:0.768
#918   d:0.768
#919   d:0.768
#920   d:0.768

#921   d:0.768
#922   d:0.768
#923   d:0.768
#924   d:0.768
#925   d:0.768

#926   d:0.768
#927   d:0.768
#928   d:0.768
#929   d:0.768
#930   d:0.769

#931   d:0.769
#932   d:0.769
#933   d:0.769
#934   d:0.769
#935   d:0.769

#936   d:0.769
#937   d:0.769
#938   d:0.769
#939   d:0.769
#940   d:0.769

#941   d:0.769
#942   d:0.769
#943   d:0.769
#944   d:0.769
#945   d:0.769

#946   d:0.769
#947   d:0.769
#948   d:0.769
#949   d:0.769
#950   d:0.769

#951   d:0.769
#952   d:0.769
#953   d:0.769
#954   d:0.769
#955   d:0.769

#956   d:0.769
#957   d:0.769
#958   d:0.769
#959   d:0.769
#960   d:0.769

#961   d:0.769
#962   d:0.769
#963   d:0.769
#964   d:0.769
#965   d:0.769

#966   d:0.769
#967   d:0.769
#968   d:0.769
#969   d:0.770
#970   d:0.770

#971   d:0.770
#972   d:0.770
#973   d:0.770
#974   d:0.770
#975   d:0.770

#976   d:0.770
#977   d:0.770
#978   d:0.770
#979   d:0.770
#980   d:0.770

#981   d:0.770
#982   d:0.770
#983   d:0.770
#984   d:0.770
#985   d:0.770

#986   d:0.770
#987   d:0.770
#988   d:0.770
#989   d:0.770
#990   d:0.770

#991   d:0.770
#992   d:0.770
#993   d:0.770
#994   d:0.770
#995   d:0.770

#996   d:0.770
#997   d:0.770
#998   d:0.770
#999   d:0.770
#1000   d:0.770
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |