Query: 7063829993

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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: 7063829993

#1   d:0.000
#2   d:0.645
#3   d:0.660
#4   d:0.662
#5   d:0.663

#6   d:0.674
#7   d:0.682
#8   d:0.686
#9   d:0.689
#10   d:0.689

#11   d:0.689
#12   d:0.692
#13   d:0.692
#14   d:0.693
#15   d:0.693

#16   d:0.693
#17   d:0.695
#18   d:0.697
#19   d:0.698
#20   d:0.698

#21   d:0.699
#22   d:0.700
#23   d:0.702
#24   d:0.702
#25   d:0.704

#26   d:0.706
#27   d:0.707
#28   d:0.707
#29   d:0.709
#30   d:0.709

#31   d:0.709
#32   d:0.709
#33   d:0.710
#34   d:0.713
#35   d:0.714

#36   d:0.715
#37   d:0.716
#38   d:0.717
#39   d:0.717
#40   d:0.717

#41   d:0.717
#42   d:0.717
#43   d:0.721
#44   d:0.721
#45   d:0.722

#46   d:0.722
#47   d:0.723
#48   d:0.723
#49   d:0.723
#50   d:0.723

#51   d:0.723
#52   d:0.724
#53   d:0.724
#54   d:0.725
#55   d:0.726

#56   d:0.727
#57   d:0.728
#58   d:0.728
#59   d:0.728
#60   d:0.728

#61   d:0.728
#62   d:0.729
#63   d:0.729
#64   d:0.729
#65   d:0.729

#66   d:0.730
#67   d:0.730
#68   d:0.730
#69   d:0.730
#70   d:0.731

#71   d:0.731
#72   d:0.731
#73   d:0.731
#74   d:0.731
#75   d:0.732

#76   d:0.732
#77   d:0.732
#78   d:0.732
#79   d:0.733
#80   d:0.733

#81   d:0.733
#82   d:0.734
#83   d:0.734
#84   d:0.734
#85   d:0.735

#86   d:0.735
#87   d:0.735
#88   d:0.736
#89   d:0.737
#90   d:0.737

#91   d:0.737
#92   d:0.737
#93   d:0.737
#94   d:0.737
#95   d:0.738

#96   d:0.738
#97   d:0.738
#98   d:0.739
#99   d:0.739
#100   d:0.739

#101   d:0.740
#102   d:0.740
#103   d:0.740
#104   d:0.740
#105   d:0.741

#106   d:0.741
#107   d:0.741
#108   d:0.742
#109   d:0.742
#110   d:0.742

#111   d:0.742
#112   d:0.742
#113   d:0.742
#114   d:0.742
#115   d:0.742

#116   d:0.742
#117   d:0.743
#118   d:0.743
#119   d:0.743
#120   d:0.743

#121   d:0.743
#122   d:0.743
#123   d:0.744
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#125   d:0.744

#126   d:0.744
#127   d:0.745
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#129   d:0.745
#130   d:0.746

#131   d:0.746
#132   d:0.746
#133   d:0.746
#134   d:0.747
#135   d:0.747

#136   d:0.747
#137   d:0.747
#138   d:0.748
#139   d:0.748
#140   d:0.748

#141   d:0.748
#142   d:0.749
#143   d:0.749
#144   d:0.749
#145   d:0.749

#146   d:0.749
#147   d:0.749
#148   d:0.749
#149   d:0.749
#150   d:0.749

#151   d:0.750
#152   d:0.750
#153   d:0.750
#154   d:0.750
#155   d:0.750

#156   d:0.750
#157   d:0.750
#158   d:0.751
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#160   d:0.751

#161   d:0.751
#162   d:0.751
#163   d:0.751
#164   d:0.751
#165   d:0.751

#166   d:0.751
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#171   d:0.752
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#175   d:0.752

#176   d:0.752
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#180   d:0.753

#181   d:0.753
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#186   d:0.754
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#190   d:0.755

#191   d:0.755
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#196   d:0.755
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#201   d:0.756
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#206   d:0.756
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#216   d:0.757
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#226   d:0.758
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#231   d:0.759
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#236   d:0.760
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#241   d:0.761
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#246   d:0.761
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#248   d:0.761
#249   d:0.761
#250   d:0.761

#251   d:0.761
#252   d:0.761
#253   d:0.762
#254   d:0.762
#255   d:0.762

#256   d:0.762
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#260   d:0.762

#261   d:0.762
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#263   d:0.762
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#265   d:0.762

#266   d:0.762
#267   d:0.762
#268   d:0.763
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#270   d:0.763

#271   d:0.763
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#273   d:0.763
#274   d:0.763
#275   d:0.763

#276   d:0.763
#277   d:0.763
#278   d:0.764
#279   d:0.764
#280   d:0.764

#281   d:0.764
#282   d:0.764
#283   d:0.764
#284   d:0.764
#285   d:0.764

#286   d:0.764
#287   d:0.764
#288   d:0.765
#289   d:0.765
#290   d:0.765

#291   d:0.765
#292   d:0.765
#293   d:0.765
#294   d:0.765
#295   d:0.765

#296   d:0.765
#297   d:0.765
#298   d:0.765
#299   d:0.765
#300   d:0.765

#301   d:0.765
#302   d:0.765
#303   d:0.765
#304   d:0.766
#305   d:0.766

#306   d:0.766
#307   d:0.766
#308   d:0.766
#309   d:0.766
#310   d:0.766

#311   d:0.766
#312   d:0.766
#313   d:0.766
#314   d:0.766
#315   d:0.766

#316   d:0.767
#317   d:0.767
#318   d:0.767
#319   d:0.767
#320   d:0.767

#321   d:0.767
#322   d:0.767
#323   d:0.767
#324   d:0.767
#325   d:0.767

#326   d:0.767
#327   d:0.767
#328   d:0.767
#329   d:0.767
#330   d:0.767

#331   d:0.767
#332   d:0.767
#333   d:0.768
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#335   d:0.768

#336   d:0.768
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#340   d:0.768

#341   d:0.768
#342   d:0.768
#343   d:0.768
#344   d:0.768
#345   d:0.769

#346   d:0.769
#347   d:0.769
#348   d:0.769
#349   d:0.769
#350   d:0.769

#351   d:0.769
#352   d:0.769
#353   d:0.769
#354   d:0.769
#355   d:0.769

#356   d:0.769
#357   d:0.769
#358   d:0.769
#359   d:0.769
#360   d:0.769

#361   d:0.770
#362   d:0.770
#363   d:0.770
#364   d:0.770
#365   d:0.770

#366   d:0.770
#367   d:0.770
#368   d:0.770
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#371   d:0.770
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#373   d:0.770
#374   d:0.770
#375   d:0.770

#376   d:0.770
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#381   d:0.771
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#385   d:0.771

#386   d:0.771
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#390   d:0.771

#391   d:0.771
#392   d:0.771
#393   d:0.771
#394   d:0.771
#395   d:0.771

#396   d:0.771
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#398   d:0.772
#399   d:0.772
#400   d:0.772

#401   d:0.772
#402   d:0.772
#403   d:0.772
#404   d:0.772
#405   d:0.772

#406   d:0.772
#407   d:0.772
#408   d:0.772
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#411   d:0.772
#412   d:0.772
#413   d:0.773
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#416   d:0.773
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#770   d:0.790

#771   d:0.790
#772   d:0.790
#773   d:0.790
#774   d:0.790
#775   d:0.790

#776   d:0.790
#777   d:0.790
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#779   d:0.790
#780   d:0.790

#781   d:0.790
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#784   d:0.791
#785   d:0.791

#786   d:0.791
#787   d:0.791
#788   d:0.791
#789   d:0.791
#790   d:0.791

#791   d:0.791
#792   d:0.791
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#795   d:0.791

#796   d:0.791
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#799   d:0.791
#800   d:0.791

#801   d:0.791
#802   d:0.791
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#804   d:0.791
#805   d:0.792

#806   d:0.792
#807   d:0.792
#808   d:0.792
#809   d:0.792
#810   d:0.792

#811   d:0.792
#812   d:0.792
#813   d:0.792
#814   d:0.792
#815   d:0.792

#816   d:0.792
#817   d:0.792
#818   d:0.792
#819   d:0.792
#820   d:0.792

#821   d:0.792
#822   d:0.792
#823   d:0.792
#824   d:0.792
#825   d:0.792

#826   d:0.792
#827   d:0.792
#828   d:0.792
#829   d:0.792
#830   d:0.792

#831   d:0.792
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#833   d:0.792
#834   d:0.792
#835   d:0.792

#836   d:0.793
#837   d:0.793
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#839   d:0.793
#840   d:0.793

#841   d:0.793
#842   d:0.793
#843   d:0.793
#844   d:0.793
#845   d:0.793

#846   d:0.793
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#848   d:0.793
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#851   d:0.793
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#856   d:0.793
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#861   d:0.793
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#865   d:0.793

#866   d:0.794
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#869   d:0.794
#870   d:0.794

#871   d:0.794
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#875   d:0.794

#876   d:0.794
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#880   d:0.794

#881   d:0.794
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#885   d:0.794

#886   d:0.794
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#890   d:0.794

#891   d:0.794
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#895   d:0.794

#896   d:0.794
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#901   d:0.794
#902   d:0.794
#903   d:0.794
#904   d:0.795
#905   d:0.795

#906   d:0.795
#907   d:0.795
#908   d:0.795
#909   d:0.795
#910   d:0.795

#911   d:0.795
#912   d:0.795
#913   d:0.795
#914   d:0.795
#915   d:0.795

#916   d:0.795
#917   d:0.795
#918   d:0.795
#919   d:0.795
#920   d:0.795

#921   d:0.795
#922   d:0.795
#923   d:0.795
#924   d:0.795
#925   d:0.795

#926   d:0.795
#927   d:0.795
#928   d:0.795
#929   d:0.795
#930   d:0.795

#931   d:0.796
#932   d:0.796
#933   d:0.796
#934   d:0.796
#935   d:0.796

#936   d:0.796
#937   d:0.796
#938   d:0.796
#939   d:0.796
#940   d:0.796

#941   d:0.796
#942   d:0.796
#943   d:0.796
#944   d:0.796
#945   d:0.796

#946   d:0.796
#947   d:0.796
#948   d:0.796
#949   d:0.796
#950   d:0.796

#951   d:0.796
#952   d:0.796
#953   d:0.796
#954   d:0.796
#955   d:0.796

#956   d:0.796
#957   d:0.796
#958   d:0.796
#959   d:0.797
#960   d:0.797

#961   d:0.797
#962   d:0.797
#963   d:0.797
#964   d:0.797
#965   d:0.797

#966   d:0.797
#967   d:0.797
#968   d:0.797
#969   d:0.797
#970   d:0.797

#971   d:0.797
#972   d:0.797
#973   d:0.797
#974   d:0.797
#975   d:0.797

#976   d:0.797
#977   d:0.797
#978   d:0.797
#979   d:0.797
#980   d:0.797

#981   d:0.797
#982   d:0.797
#983   d:0.797
#984   d:0.797
#985   d:0.797

#986   d:0.797
#987   d:0.797
#988   d:0.797
#989   d:0.797
#990   d:0.797

#991   d:0.797
#992   d:0.797
#993   d:0.797
#994   d:0.797
#995   d:0.797

#996   d:0.798
#997   d:0.798
#998   d:0.798
#999   d:0.798
#1000   d:0.798
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |