Query: 2704979856

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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: 2704979856

#1   d:0.000
#2   d:0.691
#3   d:0.695
#4   d:0.703
#5   d:0.703

#6   d:0.704
#7   d:0.706
#8   d:0.708
#9   d:0.709
#10   d:0.712

#11   d:0.712
#12   d:0.712
#13   d:0.713
#14   d:0.719
#15   d:0.724

#16   d:0.726
#17   d:0.729
#18   d:0.731
#19   d:0.733
#20   d:0.733

#21   d:0.733
#22   d:0.735
#23   d:0.736
#24   d:0.737
#25   d:0.737

#26   d:0.737
#27   d:0.737
#28   d:0.738
#29   d:0.738
#30   d:0.738

#31   d:0.738
#32   d:0.739
#33   d:0.739
#34   d:0.740
#35   d:0.741

#36   d:0.741
#37   d:0.742
#38   d:0.742
#39   d:0.742
#40   d:0.743

#41   d:0.743
#42   d:0.743
#43   d:0.743
#44   d:0.744
#45   d:0.745

#46   d:0.746
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#48   d:0.746
#49   d:0.746
#50   d:0.746

#51   d:0.746
#52   d:0.747
#53   d:0.747
#54   d:0.747
#55   d:0.748

#56   d:0.748
#57   d:0.749
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#59   d:0.749
#60   d:0.750

#61   d:0.750
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#64   d:0.750
#65   d:0.751

#66   d:0.751
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#71   d:0.752
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#76   d:0.753
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#81   d:0.754
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#86   d:0.755
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#91   d:0.756
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#96   d:0.757
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#101   d:0.758
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#106   d:0.758
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#111   d:0.759
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#116   d:0.759
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#121   d:0.760
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#126   d:0.760
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#131   d:0.762
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#136   d:0.762
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#141   d:0.763
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#144   d:0.763
#145   d:0.764

#146   d:0.764
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#150   d:0.764

#151   d:0.764
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#154   d:0.764
#155   d:0.765

#156   d:0.765
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#161   d:0.765
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#166   d:0.766
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#171   d:0.766
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#175   d:0.766

#176   d:0.767
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#181   d:0.767
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#186   d:0.768
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#190   d:0.769

#191   d:0.769
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#196   d:0.769
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#200   d:0.769

#201   d:0.769
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#206   d:0.770
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#246   d:0.773
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#251   d:0.773
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#256   d:0.774
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#261   d:0.774
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#265   d:0.774

#266   d:0.774
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#271   d:0.775
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#275   d:0.775

#276   d:0.775
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#281   d:0.775
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#286   d:0.776
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#291   d:0.776
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#295   d:0.776

#296   d:0.776
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#300   d:0.777

#301   d:0.777
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#306   d:0.777
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#311   d:0.777
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#316   d:0.777
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#321   d:0.777
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#326   d:0.777
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#330   d:0.778

#331   d:0.778
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#336   d:0.778
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#361   d:0.780
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#366   d:0.780
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#376   d:0.781
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#401   d:0.782
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#406   d:0.782
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#771   d:0.796
#772   d:0.796
#773   d:0.796
#774   d:0.796
#775   d:0.796

#776   d:0.796
#777   d:0.796
#778   d:0.796
#779   d:0.796
#780   d:0.796

#781   d:0.796
#782   d:0.796
#783   d:0.796
#784   d:0.796
#785   d:0.796

#786   d:0.796
#787   d:0.796
#788   d:0.797
#789   d:0.797
#790   d:0.797

#791   d:0.797
#792   d:0.797
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#794   d:0.797
#795   d:0.797

#796   d:0.797
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#798   d:0.797
#799   d:0.797
#800   d:0.797

#801   d:0.797
#802   d:0.797
#803   d:0.797
#804   d:0.797
#805   d:0.797

#806   d:0.797
#807   d:0.797
#808   d:0.797
#809   d:0.797
#810   d:0.797

#811   d:0.797
#812   d:0.797
#813   d:0.797
#814   d:0.797
#815   d:0.797

#816   d:0.797
#817   d:0.797
#818   d:0.797
#819   d:0.797
#820   d:0.797

#821   d:0.797
#822   d:0.797
#823   d:0.797
#824   d:0.797
#825   d:0.797

#826   d:0.797
#827   d:0.797
#828   d:0.797
#829   d:0.797
#830   d:0.797

#831   d:0.797
#832   d:0.797
#833   d:0.797
#834   d:0.797
#835   d:0.797

#836   d:0.797
#837   d:0.797
#838   d:0.797
#839   d:0.798
#840   d:0.798

#841   d:0.798
#842   d:0.798
#843   d:0.798
#844   d:0.798
#845   d:0.798

#846   d:0.798
#847   d:0.798
#848   d:0.798
#849   d:0.798
#850   d:0.798

#851   d:0.798
#852   d:0.798
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#854   d:0.798
#855   d:0.798

#856   d:0.798
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#859   d:0.798
#860   d:0.798

#861   d:0.798
#862   d:0.798
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#864   d:0.798
#865   d:0.798

#866   d:0.798
#867   d:0.798
#868   d:0.798
#869   d:0.798
#870   d:0.798

#871   d:0.798
#872   d:0.798
#873   d:0.798
#874   d:0.798
#875   d:0.799

#876   d:0.799
#877   d:0.799
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#879   d:0.799
#880   d:0.799

#881   d:0.799
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#884   d:0.799
#885   d:0.799

#886   d:0.799
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#889   d:0.799
#890   d:0.799

#891   d:0.799
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#895   d:0.799

#896   d:0.799
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#899   d:0.799
#900   d:0.799

#901   d:0.799
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#903   d:0.799
#904   d:0.799
#905   d:0.799

#906   d:0.799
#907   d:0.799
#908   d:0.799
#909   d:0.799
#910   d:0.799

#911   d:0.799
#912   d:0.799
#913   d:0.799
#914   d:0.799
#915   d:0.799

#916   d:0.799
#917   d:0.799
#918   d:0.799
#919   d:0.799
#920   d:0.799

#921   d:0.799
#922   d:0.799
#923   d:0.799
#924   d:0.799
#925   d:0.800

#926   d:0.800
#927   d:0.800
#928   d:0.800
#929   d:0.800
#930   d:0.800

#931   d:0.800
#932   d:0.800
#933   d:0.800
#934   d:0.800
#935   d:0.800

#936   d:0.800
#937   d:0.800
#938   d:0.800
#939   d:0.800
#940   d:0.800

#941   d:0.800
#942   d:0.800
#943   d:0.800
#944   d:0.800
#945   d:0.800

#946   d:0.800
#947   d:0.800
#948   d:0.800
#949   d:0.800
#950   d:0.800

#951   d:0.800
#952   d:0.800
#953   d:0.800
#954   d:0.800
#955   d:0.800

#956   d:0.800
#957   d:0.800
#958   d:0.800
#959   d:0.800
#960   d:0.800

#961   d:0.800
#962   d:0.800
#963   d:0.800
#964   d:0.800
#965   d:0.800

#966   d:0.800
#967   d:0.800
#968   d:0.800
#969   d:0.801
#970   d:0.801

#971   d:0.801
#972   d:0.801
#973   d:0.801
#974   d:0.801
#975   d:0.801

#976   d:0.801
#977   d:0.801
#978   d:0.801
#979   d:0.801
#980   d:0.801

#981   d:0.801
#982   d:0.801
#983   d:0.801
#984   d:0.801
#985   d:0.801

#986   d:0.801
#987   d:0.801
#988   d:0.801
#989   d:0.801
#990   d:0.801

#991   d:0.801
#992   d:0.801
#993   d:0.801
#994   d:0.801
#995   d:0.801

#996   d:0.801
#997   d:0.801
#998   d:0.801
#999   d:0.801
#1000   d:0.801
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |