Query: 280397900

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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: 280397900

#1   d:0.000
#2   d:0.626
#3   d:0.648
#4   d:0.648
#5   d:0.649

#6   d:0.662
#7   d:0.665
#8   d:0.667
#9   d:0.671
#10   d:0.675

#11   d:0.678
#12   d:0.678
#13   d:0.680
#14   d:0.681
#15   d:0.681

#16   d:0.682
#17   d:0.683
#18   d:0.684
#19   d:0.684
#20   d:0.685

#21   d:0.686
#22   d:0.688
#23   d:0.689
#24   d:0.690
#25   d:0.690

#26   d:0.692
#27   d:0.693
#28   d:0.694
#29   d:0.695
#30   d:0.695

#31   d:0.695
#32   d:0.696
#33   d:0.696
#34   d:0.696
#35   d:0.697

#36   d:0.697
#37   d:0.698
#38   d:0.698
#39   d:0.698
#40   d:0.698

#41   d:0.698
#42   d:0.699
#43   d:0.699
#44   d:0.700
#45   d:0.700

#46   d:0.700
#47   d:0.700
#48   d:0.700
#49   d:0.701
#50   d:0.701

#51   d:0.701
#52   d:0.702
#53   d:0.702
#54   d:0.703
#55   d:0.703

#56   d:0.703
#57   d:0.703
#58   d:0.704
#59   d:0.704
#60   d:0.704

#61   d:0.704
#62   d:0.704
#63   d:0.705
#64   d:0.705
#65   d:0.705

#66   d:0.706
#67   d:0.706
#68   d:0.706
#69   d:0.707
#70   d:0.707

#71   d:0.707
#72   d:0.708
#73   d:0.708
#74   d:0.708
#75   d:0.708

#76   d:0.709
#77   d:0.709
#78   d:0.709
#79   d:0.710
#80   d:0.710

#81   d:0.710
#82   d:0.711
#83   d:0.711
#84   d:0.711
#85   d:0.712

#86   d:0.712
#87   d:0.713
#88   d:0.713
#89   d:0.713
#90   d:0.713

#91   d:0.713
#92   d:0.713
#93   d:0.713
#94   d:0.713
#95   d:0.713

#96   d:0.714
#97   d:0.714
#98   d:0.714
#99   d:0.714
#100   d:0.714

#101   d:0.715
#102   d:0.715
#103   d:0.715
#104   d:0.715
#105   d:0.715

#106   d:0.715
#107   d:0.716
#108   d:0.716
#109   d:0.716
#110   d:0.716

#111   d:0.716
#112   d:0.716
#113   d:0.718
#114   d:0.718
#115   d:0.718

#116   d:0.718
#117   d:0.718
#118   d:0.718
#119   d:0.719
#120   d:0.719

#121   d:0.719
#122   d:0.719
#123   d:0.719
#124   d:0.719
#125   d:0.720

#126   d:0.720
#127   d:0.720
#128   d:0.720
#129   d:0.720
#130   d:0.720

#131   d:0.720
#132   d:0.720
#133   d:0.721
#134   d:0.721
#135   d:0.721

#136   d:0.721
#137   d:0.721
#138   d:0.721
#139   d:0.721
#140   d:0.721

#141   d:0.722
#142   d:0.722
#143   d:0.722
#144   d:0.722
#145   d:0.722

#146   d:0.722
#147   d:0.722
#148   d:0.723
#149   d:0.723
#150   d:0.723

#151   d:0.723
#152   d:0.723
#153   d:0.723
#154   d:0.723
#155   d:0.723

#156   d:0.723
#157   d:0.723
#158   d:0.723
#159   d:0.724
#160   d:0.724

#161   d:0.724
#162   d:0.724
#163   d:0.724
#164   d:0.724
#165   d:0.725

#166   d:0.725
#167   d:0.725
#168   d:0.725
#169   d:0.726
#170   d:0.726

#171   d:0.726
#172   d:0.726
#173   d:0.726
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#175   d:0.726

#176   d:0.726
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#180   d:0.727

#181   d:0.727
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#183   d:0.727
#184   d:0.727
#185   d:0.727

#186   d:0.727
#187   d:0.728
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#190   d:0.728

#191   d:0.728
#192   d:0.728
#193   d:0.728
#194   d:0.729
#195   d:0.729

#196   d:0.729
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#198   d:0.729
#199   d:0.729
#200   d:0.729

#201   d:0.729
#202   d:0.729
#203   d:0.729
#204   d:0.730
#205   d:0.730

#206   d:0.730
#207   d:0.730
#208   d:0.730
#209   d:0.730
#210   d:0.730

#211   d:0.730
#212   d:0.730
#213   d:0.731
#214   d:0.731
#215   d:0.731

#216   d:0.731
#217   d:0.731
#218   d:0.732
#219   d:0.732
#220   d:0.732

#221   d:0.732
#222   d:0.732
#223   d:0.733
#224   d:0.733
#225   d:0.733

#226   d:0.733
#227   d:0.733
#228   d:0.733
#229   d:0.733
#230   d:0.733

#231   d:0.733
#232   d:0.733
#233   d:0.733
#234   d:0.733
#235   d:0.734

#236   d:0.734
#237   d:0.734
#238   d:0.734
#239   d:0.734
#240   d:0.734

#241   d:0.734
#242   d:0.734
#243   d:0.734
#244   d:0.734
#245   d:0.734

#246   d:0.734
#247   d:0.734
#248   d:0.734
#249   d:0.734
#250   d:0.734

#251   d:0.734
#252   d:0.734
#253   d:0.735
#254   d:0.735
#255   d:0.735

#256   d:0.735
#257   d:0.735
#258   d:0.735
#259   d:0.735
#260   d:0.735

#261   d:0.735
#262   d:0.736
#263   d:0.736
#264   d:0.736
#265   d:0.736

#266   d:0.736
#267   d:0.736
#268   d:0.736
#269   d:0.736
#270   d:0.736

#271   d:0.736
#272   d:0.736
#273   d:0.736
#274   d:0.736
#275   d:0.736

#276   d:0.736
#277   d:0.736
#278   d:0.736
#279   d:0.737
#280   d:0.737

#281   d:0.737
#282   d:0.737
#283   d:0.737
#284   d:0.737
#285   d:0.737

#286   d:0.737
#287   d:0.737
#288   d:0.737
#289   d:0.737
#290   d:0.737

#291   d:0.738
#292   d:0.738
#293   d:0.738
#294   d:0.738
#295   d:0.738

#296   d:0.738
#297   d:0.738
#298   d:0.738
#299   d:0.739
#300   d:0.739

#301   d:0.739
#302   d:0.739
#303   d:0.739
#304   d:0.739
#305   d:0.739

#306   d:0.739
#307   d:0.740
#308   d:0.740
#309   d:0.740
#310   d:0.740

#311   d:0.740
#312   d:0.740
#313   d:0.740
#314   d:0.740
#315   d:0.740

#316   d:0.740
#317   d:0.740
#318   d:0.740
#319   d:0.740
#320   d:0.740

#321   d:0.740
#322   d:0.740
#323   d:0.740
#324   d:0.740
#325   d:0.740

#326   d:0.741
#327   d:0.741
#328   d:0.741
#329   d:0.741
#330   d:0.741

#331   d:0.741
#332   d:0.741
#333   d:0.741
#334   d:0.741
#335   d:0.741

#336   d:0.741
#337   d:0.741
#338   d:0.741
#339   d:0.741
#340   d:0.741

#341   d:0.741
#342   d:0.741
#343   d:0.741
#344   d:0.741
#345   d:0.741

#346   d:0.741
#347   d:0.741
#348   d:0.742
#349   d:0.742
#350   d:0.742

#351   d:0.742
#352   d:0.742
#353   d:0.742
#354   d:0.742
#355   d:0.742

#356   d:0.742
#357   d:0.742
#358   d:0.742
#359   d:0.742
#360   d:0.742

#361   d:0.742
#362   d:0.742
#363   d:0.742
#364   d:0.742
#365   d:0.742

#366   d:0.742
#367   d:0.742
#368   d:0.742
#369   d:0.742
#370   d:0.742

#371   d:0.742
#372   d:0.742
#373   d:0.743
#374   d:0.743
#375   d:0.743

#376   d:0.743
#377   d:0.743
#378   d:0.743
#379   d:0.743
#380   d:0.743

#381   d:0.743
#382   d:0.743
#383   d:0.743
#384   d:0.743
#385   d:0.743

#386   d:0.743
#387   d:0.743
#388   d:0.743
#389   d:0.744
#390   d:0.744

#391   d:0.744
#392   d:0.744
#393   d:0.744
#394   d:0.744
#395   d:0.744

#396   d:0.744
#397   d:0.744
#398   d:0.744
#399   d:0.744
#400   d:0.744

#401   d:0.744
#402   d:0.744
#403   d:0.744
#404   d:0.745
#405   d:0.745

#406   d:0.745
#407   d:0.745
#408   d:0.745
#409   d:0.745
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#411   d:0.745
#412   d:0.745
#413   d:0.745
#414   d:0.745
#415   d:0.745

#416   d:0.745
#417   d:0.745
#418   d:0.745
#419   d:0.745
#420   d:0.746

#421   d:0.746
#422   d:0.746
#423   d:0.746
#424   d:0.746
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#426   d:0.746
#427   d:0.746
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#429   d:0.746
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#431   d:0.746
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#436   d:0.746
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#441   d:0.747
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#446   d:0.747
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#451   d:0.747
#452   d:0.747
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#456   d:0.748
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#461   d:0.748
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#466   d:0.748
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#471   d:0.748
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#476   d:0.748
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#491   d:0.749
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#496   d:0.749
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#501   d:0.749
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#506   d:0.749
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#516   d:0.749
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#768   d:0.759
#769   d:0.759
#770   d:0.759

#771   d:0.759
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#821   d:0.761
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#960   d:0.764

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#976   d:0.765
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#986   d:0.765
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#995   d:0.765

#996   d:0.765
#997   d:0.765
#998   d:0.765
#999   d:0.765
#1000   d:0.765
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |