Query: 1539386468

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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: 1539386468

#1   d:0.000
#2   d:0.585
#3   d:0.601
#4   d:0.612
#5   d:0.615

#6   d:0.616
#7   d:0.617
#8   d:0.618
#9   d:0.625
#10   d:0.628

#11   d:0.629
#12   d:0.631
#13   d:0.632
#14   d:0.635
#15   d:0.642

#16   d:0.644
#17   d:0.644
#18   d:0.645
#19   d:0.645
#20   d:0.648

#21   d:0.648
#22   d:0.651
#23   d:0.654
#24   d:0.655
#25   d:0.658

#26   d:0.661
#27   d:0.664
#28   d:0.664
#29   d:0.665
#30   d:0.665

#31   d:0.666
#32   d:0.666
#33   d:0.666
#34   d:0.668
#35   d:0.670

#36   d:0.671
#37   d:0.672
#38   d:0.673
#39   d:0.675
#40   d:0.676

#41   d:0.676
#42   d:0.676
#43   d:0.677
#44   d:0.678
#45   d:0.678

#46   d:0.678
#47   d:0.678
#48   d:0.679
#49   d:0.680
#50   d:0.681

#51   d:0.682
#52   d:0.682
#53   d:0.682
#54   d:0.683
#55   d:0.684

#56   d:0.685
#57   d:0.685
#58   d:0.686
#59   d:0.686
#60   d:0.686

#61   d:0.687
#62   d:0.687
#63   d:0.687
#64   d:0.688
#65   d:0.689

#66   d:0.689
#67   d:0.689
#68   d:0.690
#69   d:0.691
#70   d:0.691

#71   d:0.691
#72   d:0.691
#73   d:0.692
#74   d:0.692
#75   d:0.692

#76   d:0.692
#77   d:0.693
#78   d:0.693
#79   d:0.693
#80   d:0.693

#81   d:0.695
#82   d:0.696
#83   d:0.697
#84   d:0.697
#85   d:0.698

#86   d:0.698
#87   d:0.698
#88   d:0.699
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#90   d:0.699

#91   d:0.699
#92   d:0.700
#93   d:0.700
#94   d:0.700
#95   d:0.700

#96   d:0.700
#97   d:0.701
#98   d:0.701
#99   d:0.701
#100   d:0.701

#101   d:0.701
#102   d:0.703
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#104   d:0.704
#105   d:0.704

#106   d:0.704
#107   d:0.704
#108   d:0.705
#109   d:0.706
#110   d:0.706

#111   d:0.706
#112   d:0.708
#113   d:0.709
#114   d:0.709
#115   d:0.709

#116   d:0.709
#117   d:0.710
#118   d:0.710
#119   d:0.710
#120   d:0.710

#121   d:0.710
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#126   d:0.712
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#128   d:0.714
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#131   d:0.714
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#134   d:0.715
#135   d:0.715

#136   d:0.715
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#139   d:0.715
#140   d:0.715

#141   d:0.715
#142   d:0.716
#143   d:0.716
#144   d:0.716
#145   d:0.716

#146   d:0.717
#147   d:0.717
#148   d:0.717
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#150   d:0.718

#151   d:0.718
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#153   d:0.718
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#155   d:0.718

#156   d:0.718
#157   d:0.719
#158   d:0.719
#159   d:0.719
#160   d:0.719

#161   d:0.719
#162   d:0.720
#163   d:0.720
#164   d:0.720
#165   d:0.720

#166   d:0.720
#167   d:0.721
#168   d:0.721
#169   d:0.721
#170   d:0.721

#171   d:0.721
#172   d:0.721
#173   d:0.721
#174   d:0.722
#175   d:0.722

#176   d:0.723
#177   d:0.723
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#179   d:0.724
#180   d:0.724

#181   d:0.724
#182   d:0.725
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#185   d:0.725

#186   d:0.725
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#191   d:0.727
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#196   d:0.727
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#201   d:0.728
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#203   d:0.729
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#205   d:0.729

#206   d:0.729
#207   d:0.730
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#211   d:0.730
#212   d:0.731
#213   d:0.731
#214   d:0.731
#215   d:0.732

#216   d:0.732
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#218   d:0.732
#219   d:0.733
#220   d:0.733

#221   d:0.733
#222   d:0.733
#223   d:0.733
#224   d:0.733
#225   d:0.734

#226   d:0.734
#227   d:0.734
#228   d:0.734
#229   d:0.734
#230   d:0.734

#231   d:0.735
#232   d:0.735
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#235   d:0.735

#236   d:0.736
#237   d:0.736
#238   d:0.737
#239   d:0.737
#240   d:0.737

#241   d:0.737
#242   d:0.738
#243   d:0.738
#244   d:0.738
#245   d:0.738

#246   d:0.738
#247   d:0.738
#248   d:0.739
#249   d:0.739
#250   d:0.739

#251   d:0.739
#252   d:0.739
#253   d:0.739
#254   d:0.739
#255   d:0.739

#256   d:0.740
#257   d:0.740
#258   d:0.740
#259   d:0.740
#260   d:0.740

#261   d:0.741
#262   d:0.741
#263   d:0.741
#264   d:0.741
#265   d:0.742

#266   d:0.742
#267   d:0.742
#268   d:0.742
#269   d:0.742
#270   d:0.742

#271   d:0.742
#272   d:0.743
#273   d:0.743
#274   d:0.743
#275   d:0.743

#276   d:0.743
#277   d:0.743
#278   d:0.743
#279   d:0.743
#280   d:0.744

#281   d:0.744
#282   d:0.744
#283   d:0.744
#284   d:0.744
#285   d:0.744

#286   d:0.744
#287   d:0.745
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#290   d:0.745

#291   d:0.745
#292   d:0.745
#293   d:0.745
#294   d:0.746
#295   d:0.746

#296   d:0.746
#297   d:0.746
#298   d:0.746
#299   d:0.746
#300   d:0.746

#301   d:0.746
#302   d:0.747
#303   d:0.747
#304   d:0.747
#305   d:0.747

#306   d:0.748
#307   d:0.748
#308   d:0.748
#309   d:0.748
#310   d:0.749

#311   d:0.749
#312   d:0.749
#313   d:0.749
#314   d:0.749
#315   d:0.749

#316   d:0.750
#317   d:0.750
#318   d:0.750
#319   d:0.750
#320   d:0.750

#321   d:0.750
#322   d:0.750
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#326   d:0.750
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#331   d:0.751
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#336   d:0.751
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#341   d:0.752
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#346   d:0.753
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#351   d:0.753
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#356   d:0.754
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#361   d:0.754
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#366   d:0.754
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#371   d:0.755
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#375   d:0.756

#376   d:0.756
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#381   d:0.756
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#386   d:0.757
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#391   d:0.757
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#396   d:0.757
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#400   d:0.758

#401   d:0.758
#402   d:0.758
#403   d:0.758
#404   d:0.758
#405   d:0.758

#406   d:0.758
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#411   d:0.759
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#413   d:0.759
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#416   d:0.759
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#421   d:0.760
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#426   d:0.761
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#431   d:0.761
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#436   d:0.761
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#456   d:0.764
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#461   d:0.764
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#476   d:0.766
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#481   d:0.766
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#773   d:0.789
#774   d:0.789
#775   d:0.789

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#791   d:0.791
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#796   d:0.791
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#801   d:0.791
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#805   d:0.791

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#810   d:0.792

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#815   d:0.792

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

#821   d:0.793
#822   d:0.793
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#824   d:0.793
#825   d:0.793

#826   d:0.793
#827   d:0.793
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#829   d:0.793
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#831   d:0.793
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#835   d:0.793

#836   d:0.793
#837   d:0.793
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#841   d:0.794
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#881   d:0.796
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#891   d:0.796
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#905   d:0.797

#906   d:0.797
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#916   d:0.798
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#921   d:0.798
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#923   d:0.798
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#926   d:0.798
#927   d:0.798
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#929   d:0.798
#930   d:0.798

#931   d:0.798
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#933   d:0.798
#934   d:0.798
#935   d:0.798

#936   d:0.798
#937   d:0.798
#938   d:0.798
#939   d:0.798
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#941   d:0.799
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#946   d:0.799
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#949   d:0.799
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#951   d:0.799
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#954   d:0.799
#955   d:0.799

#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
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#964   d:0.800
#965   d:0.800

#966   d:0.800
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#971   d:0.800
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#975   d:0.801

#976   d:0.801
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#980   d:0.801

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

#986   d:0.801
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#988   d:0.801
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#990   d:0.801

#991   d:0.801
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#995   d:0.802

#996   d:0.802
#997   d:0.802
#998   d:0.802
#999   d:0.802
#1000   d:0.802
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |