Query: 12559157163

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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: 12559157163

#1   d:0.000
#2   d:0.421
#3   d:0.639
#4   d:0.640
#5   d:0.645

#6   d:0.651
#7   d:0.663
#8   d:0.666
#9   d:0.670
#10   d:0.675

#11   d:0.676
#12   d:0.679
#13   d:0.682
#14   d:0.686
#15   d:0.687

#16   d:0.688
#17   d:0.689
#18   d:0.691
#19   d:0.691
#20   d:0.692

#21   d:0.693
#22   d:0.694
#23   d:0.696
#24   d:0.696
#25   d:0.700

#26   d:0.703
#27   d:0.708
#28   d:0.710
#29   d:0.711
#30   d:0.711

#31   d:0.712
#32   d:0.712
#33   d:0.713
#34   d:0.713
#35   d:0.713

#36   d:0.713
#37   d:0.715
#38   d:0.715
#39   d:0.715
#40   d:0.715

#41   d:0.716
#42   d:0.716
#43   d:0.716
#44   d:0.716
#45   d:0.717

#46   d:0.718
#47   d:0.718
#48   d:0.719
#49   d:0.719
#50   d:0.720

#51   d:0.720
#52   d:0.720
#53   d:0.721
#54   d:0.721
#55   d:0.721

#56   d:0.722
#57   d:0.722
#58   d:0.722
#59   d:0.723
#60   d:0.723

#61   d:0.724
#62   d:0.724
#63   d:0.725
#64   d:0.725
#65   d:0.725

#66   d:0.726
#67   d:0.726
#68   d:0.726
#69   d:0.727
#70   d:0.727

#71   d:0.727
#72   d:0.728
#73   d:0.728
#74   d:0.729
#75   d:0.729

#76   d:0.729
#77   d:0.730
#78   d:0.730
#79   d:0.730
#80   d:0.730

#81   d:0.731
#82   d:0.731
#83   d:0.731
#84   d:0.732
#85   d:0.733

#86   d:0.733
#87   d:0.733
#88   d:0.733
#89   d:0.734
#90   d:0.734

#91   d:0.734
#92   d:0.734
#93   d:0.734
#94   d:0.734
#95   d:0.734

#96   d:0.735
#97   d:0.735
#98   d:0.736
#99   d:0.736
#100   d:0.737

#101   d:0.737
#102   d:0.737
#103   d:0.737
#104   d:0.738
#105   d:0.738

#106   d:0.738
#107   d:0.738
#108   d:0.739
#109   d:0.739
#110   d:0.740

#111   d:0.740
#112   d:0.741
#113   d:0.741
#114   d:0.741
#115   d:0.741

#116   d:0.741
#117   d:0.742
#118   d:0.742
#119   d:0.742
#120   d:0.742

#121   d:0.742
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#124   d:0.743
#125   d:0.744

#126   d:0.744
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#128   d:0.745
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#130   d:0.745

#131   d:0.745
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#135   d:0.745

#136   d:0.745
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#138   d:0.746
#139   d:0.747
#140   d:0.747

#141   d:0.747
#142   d:0.747
#143   d:0.748
#144   d:0.748
#145   d:0.748

#146   d:0.748
#147   d:0.748
#148   d:0.749
#149   d:0.749
#150   d:0.749

#151   d:0.749
#152   d:0.749
#153   d:0.749
#154   d:0.750
#155   d:0.750

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

#161   d:0.751
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#165   d:0.752

#166   d:0.752
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#170   d:0.753

#171   d:0.753
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#176   d:0.753
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#181   d:0.754
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#186   d:0.754
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#200   d:0.756

#201   d:0.756
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#206   d:0.757
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#216   d:0.757
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#226   d:0.758
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#236   d:0.759
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#246   d:0.760
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#250   d:0.761

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

#256   d:0.761
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#258   d:0.762
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#260   d:0.762

#261   d:0.762
#262   d:0.762
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#265   d:0.762

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

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

#276   d:0.763
#277   d:0.763
#278   d:0.763
#279   d:0.763
#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:0.764
#289   d:0.764
#290   d:0.764

#291   d:0.764
#292   d:0.764
#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
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#313   d:0.766
#314   d:0.766
#315   d:0.766

#316   d:0.766
#317   d:0.766
#318   d:0.766
#319   d:0.766
#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
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#336   d:0.768
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#340   d:0.768

#341   d:0.768
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#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:0.770

#356   d:0.770
#357   d:0.770
#358   d:0.770
#359   d:0.770
#360   d:0.770

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

#366   d:0.770
#367   d:0.770
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#371   d:0.770
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#375   d:0.771

#376   d:0.771
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#381   d:0.772
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#386   d:0.772
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#391   d:0.772
#392   d:0.772
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#394   d:0.772
#395   d:0.772

#396   d:0.773
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#398   d:0.773
#399   d:0.773
#400   d:0.773

#401   d:0.773
#402   d:0.773
#403   d:0.773
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#406   d:0.773
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#411   d:0.774
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#413   d:0.774
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#416   d:0.774
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#421   d:0.775
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#426   d:0.775
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#773   d:0.794
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#775   d:0.794

#776   d:0.794
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#816   d:0.796
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#916   d:0.799
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#921   d:0.799
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#936   d:0.800
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#941   d:0.800
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#960   d:0.801

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#975   d:0.801

#976   d:0.801
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#981   d:0.801
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#985   d:0.802

#986   d:0.802
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#991   d:0.802
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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 |