Query: 2223219499

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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: 2223219499

#1   d:0.000
#2   d:0.587
#3   d:0.606
#4   d:0.624
#5   d:0.624

#6   d:0.632
#7   d:0.633
#8   d:0.637
#9   d:0.637
#10   d:0.639

#11   d:0.643
#12   d:0.648
#13   d:0.650
#14   d:0.653
#15   d:0.654

#16   d:0.656
#17   d:0.657
#18   d:0.659
#19   d:0.661
#20   d:0.661

#21   d:0.662
#22   d:0.665
#23   d:0.667
#24   d:0.669
#25   d:0.670

#26   d:0.672
#27   d:0.674
#28   d:0.675
#29   d:0.675
#30   d:0.677

#31   d:0.679
#32   d:0.679
#33   d:0.680
#34   d:0.680
#35   d:0.681

#36   d:0.681
#37   d:0.682
#38   d:0.683
#39   d:0.683
#40   d:0.684

#41   d:0.684
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#44   d:0.685
#45   d:0.686

#46   d:0.686
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#51   d:0.690
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#56   d:0.693
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#61   d:0.696
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#66   d:0.698
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#71   d:0.699
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#76   d:0.700
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#81   d:0.703
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#86   d:0.704
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#91   d:0.704
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#96   d:0.706
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#111   d:0.708
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#146   d:0.714
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#151   d:0.716
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#256   d:0.730
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#260   d:0.731

#261   d:0.731
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#266   d:0.731
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#270   d:0.732

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#281   d:0.733
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#284   d:0.733
#285   d:0.733

#286   d:0.733
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#291   d:0.734
#292   d:0.734
#293   d:0.734
#294   d:0.734
#295   d:0.734

#296   d:0.735
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#300   d:0.735

#301   d:0.735
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#305   d:0.736

#306   d:0.736
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#311   d:0.736
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#351   d:0.740
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#396   d:0.743
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#401   d:0.743
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#770   d:0.764

#771   d:0.764
#772   d:0.764
#773   d:0.764
#774   d:0.764
#775   d:0.764

#776   d:0.764
#777   d:0.764
#778   d:0.764
#779   d:0.764
#780   d:0.764

#781   d:0.764
#782   d:0.764
#783   d:0.764
#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:0.765
#803   d:0.765
#804   d:0.765
#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:0.767
#827   d:0.767
#828   d:0.767
#829   d:0.767
#830   d:0.767

#831   d:0.767
#832   d:0.767
#833   d:0.767
#834   d:0.767
#835   d:0.767

#836   d:0.767
#837   d:0.767
#838   d:0.767
#839   d:0.767
#840   d:0.767

#841   d:0.767
#842   d:0.767
#843   d:0.767
#844   d:0.767
#845   d:0.767

#846   d:0.767
#847   d:0.768
#848   d:0.768
#849   d:0.768
#850   d:0.768

#851   d:0.768
#852   d:0.768
#853   d:0.768
#854   d:0.768
#855   d:0.768

#856   d:0.768
#857   d:0.768
#858   d:0.768
#859   d:0.768
#860   d:0.768

#861   d:0.768
#862   d:0.768
#863   d:0.768
#864   d:0.768
#865   d:0.768

#866   d:0.768
#867   d:0.768
#868   d:0.768
#869   d:0.768
#870   d:0.769

#871   d:0.769
#872   d:0.769
#873   d:0.769
#874   d:0.769
#875   d:0.769

#876   d:0.769
#877   d:0.769
#878   d:0.769
#879   d:0.769
#880   d:0.769

#881   d:0.769
#882   d:0.769
#883   d:0.769
#884   d:0.769
#885   d:0.769

#886   d:0.769
#887   d:0.769
#888   d:0.769
#889   d:0.769
#890   d:0.769

#891   d:0.769
#892   d:0.769
#893   d:0.769
#894   d:0.769
#895   d:0.769

#896   d:0.769
#897   d:0.769
#898   d:0.769
#899   d:0.769
#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:0.770
#910   d:0.770

#911   d:0.770
#912   d:0.770
#913   d:0.770
#914   d:0.770
#915   d:0.770

#916   d:0.770
#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:0.771

#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:0.773
#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 |