Query: 6706422385

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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: 6706422385

#1   d:0.000
#2   d:0.658
#3   d:0.671
#4   d:0.676
#5   d:0.685

#6   d:0.691
#7   d:0.693
#8   d:0.699
#9   d:0.701
#10   d:0.703

#11   d:0.705
#12   d:0.706
#13   d:0.710
#14   d:0.711
#15   d:0.714

#16   d:0.714
#17   d:0.715
#18   d:0.716
#19   d:0.716
#20   d:0.718

#21   d:0.719
#22   d:0.719
#23   d:0.719
#24   d:0.720
#25   d:0.720

#26   d:0.720
#27   d:0.721
#28   d:0.722
#29   d:0.723
#30   d:0.724

#31   d:0.724
#32   d:0.725
#33   d:0.725
#34   d:0.726
#35   d:0.726

#36   d:0.727
#37   d:0.727
#38   d:0.727
#39   d:0.729
#40   d:0.729

#41   d:0.730
#42   d:0.730
#43   d:0.731
#44   d:0.731
#45   d:0.732

#46   d:0.733
#47   d:0.733
#48   d:0.733
#49   d:0.733
#50   d:0.734

#51   d:0.735
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#53   d:0.736
#54   d:0.738
#55   d:0.738

#56   d:0.739
#57   d:0.739
#58   d:0.740
#59   d:0.740
#60   d:0.741

#61   d:0.741
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#64   d:0.741
#65   d:0.742

#66   d:0.742
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#71   d:0.743
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#76   d:0.744
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#81   d:0.745
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#86   d:0.746
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#91   d:0.747
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#95   d:0.748

#96   d:0.748
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#99   d:0.749
#100   d:0.749

#101   d:0.749
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#103   d:0.750
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#105   d:0.750

#106   d:0.751
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#111   d:0.753
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#116   d:0.754
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#121   d:0.754
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#131   d:0.755
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#136   d:0.756
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#141   d:0.757
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#146   d:0.757
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#151   d:0.758
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#156   d:0.759
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#161   d:0.759
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#166   d:0.760
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#171   d:0.760
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#176   d:0.761
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#181   d:0.761
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#196   d:0.763
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#200   d:0.764

#201   d:0.764
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#216   d:0.766
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#221   d:0.766
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#226   d:0.767
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#246   d:0.767
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#250   d:0.768

#251   d:0.768
#252   d:0.768
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#254   d:0.768
#255   d:0.768

#256   d:0.768
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#260   d:0.768

#261   d:0.768
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#264   d:0.768
#265   d:0.768

#266   d:0.769
#267   d:0.769
#268   d:0.769
#269   d:0.769
#270   d:0.769

#271   d:0.769
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#274   d:0.769
#275   d:0.769

#276   d:0.769
#277   d:0.769
#278   d:0.769
#279   d:0.769
#280   d:0.770

#281   d:0.770
#282   d:0.770
#283   d:0.770
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#285   d:0.770

#286   d:0.770
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#290   d:0.770

#291   d:0.770
#292   d:0.770
#293   d:0.770
#294   d:0.770
#295   d:0.770

#296   d:0.770
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#300   d:0.771

#301   d:0.771
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#304   d:0.771
#305   d:0.771

#306   d:0.771
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#309   d:0.771
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#311   d:0.771
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#316   d:0.772
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#321   d:0.772
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#326   d:0.772
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#331   d:0.772
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#336   d:0.773
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#341   d:0.773
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#346   d:0.774
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#351   d:0.774
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#356   d:0.774
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#361   d:0.774
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#376   d:0.776
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#381   d:0.776
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#386   d:0.776
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#396   d:0.777
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#401   d:0.777
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#406   d:0.778
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#821   d:0.794
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#826   d:0.794
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#936   d:0.797
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#960   d:0.798

#961   d:0.798
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#971   d:0.798
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#975   d:0.798

#976   d:0.798
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#981   d:0.798
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#985   d:0.798

#986   d:0.798
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#991   d:0.798
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#995   d:0.798

#996   d:0.799
#997   d:0.799
#998   d:0.799
#999   d:0.799
#1000   d:0.799
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |