Query: 9632158356

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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: 9632158356

#1   d:0.000
#2   d:0.685
#3   d:0.685
#4   d:0.696
#5   d:0.696

#6   d:0.702
#7   d:0.703
#8   d:0.706
#9   d:0.707
#10   d:0.708

#11   d:0.708
#12   d:0.708
#13   d:0.710
#14   d:0.710
#15   d:0.710

#16   d:0.710
#17   d:0.711
#18   d:0.711
#19   d:0.712
#20   d:0.712

#21   d:0.712
#22   d:0.713
#23   d:0.715
#24   d:0.715
#25   d:0.716

#26   d:0.716
#27   d:0.716
#28   d:0.717
#29   d:0.717
#30   d:0.717

#31   d:0.718
#32   d:0.718
#33   d:0.718
#34   d:0.718
#35   d:0.719

#36   d:0.719
#37   d:0.720
#38   d:0.720
#39   d:0.721
#40   d:0.722

#41   d:0.723
#42   d:0.723
#43   d:0.723
#44   d:0.723
#45   d:0.723

#46   d:0.723
#47   d:0.724
#48   d:0.724
#49   d:0.724
#50   d:0.725

#51   d:0.725
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#55   d:0.726

#56   d:0.726
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#60   d:0.726

#61   d:0.727
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#66   d:0.727
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#68   d:0.728
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#70   d:0.729

#71   d:0.729
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#76   d:0.730
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#81   d:0.730
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#85   d:0.731

#86   d:0.731
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#88   d:0.731
#89   d:0.731
#90   d:0.732

#91   d:0.732
#92   d:0.732
#93   d:0.732
#94   d:0.733
#95   d:0.733

#96   d:0.734
#97   d:0.734
#98   d:0.734
#99   d:0.734
#100   d:0.734

#101   d:0.735
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#106   d:0.735
#107   d:0.736
#108   d:0.736
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#111   d:0.736
#112   d:0.736
#113   d:0.737
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#116   d:0.737
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#121   d:0.737
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#125   d:0.737

#126   d:0.738
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#130   d:0.738

#131   d:0.738
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#135   d:0.738

#136   d:0.738
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#139   d:0.738
#140   d:0.738

#141   d:0.738
#142   d:0.738
#143   d:0.739
#144   d:0.739
#145   d:0.739

#146   d:0.739
#147   d:0.739
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#150   d:0.739

#151   d:0.739
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#155   d:0.739

#156   d:0.739
#157   d:0.739
#158   d:0.739
#159   d:0.740
#160   d:0.740

#161   d:0.740
#162   d:0.740
#163   d:0.740
#164   d:0.740
#165   d:0.741

#166   d:0.741
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#170   d:0.741

#171   d:0.741
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#176   d:0.741
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#181   d:0.741
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#184   d:0.742
#185   d:0.742

#186   d:0.742
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#191   d:0.742
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#196   d:0.742
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#201   d:0.743
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#206   d:0.743
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#211   d:0.743
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#215   d:0.743

#216   d:0.744
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#231   d:0.745
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#235   d:0.745

#236   d:0.746
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#240   d:0.746

#241   d:0.746
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#244   d:0.746
#245   d:0.746

#246   d:0.746
#247   d:0.746
#248   d:0.746
#249   d:0.747
#250   d:0.747

#251   d:0.747
#252   d:0.747
#253   d:0.747
#254   d:0.747
#255   d:0.747

#256   d:0.747
#257   d:0.747
#258   d:0.747
#259   d:0.747
#260   d:0.747

#261   d:0.747
#262   d:0.747
#263   d:0.747
#264   d:0.747
#265   d:0.747

#266   d:0.748
#267   d:0.748
#268   d:0.748
#269   d:0.748
#270   d:0.748

#271   d:0.748
#272   d:0.748
#273   d:0.748
#274   d:0.748
#275   d:0.748

#276   d:0.748
#277   d:0.748
#278   d:0.748
#279   d:0.748
#280   d:0.748

#281   d:0.748
#282   d:0.748
#283   d:0.748
#284   d:0.748
#285   d:0.748

#286   d:0.748
#287   d:0.748
#288   d:0.749
#289   d:0.749
#290   d:0.749

#291   d:0.749
#292   d:0.749
#293   d:0.749
#294   d:0.749
#295   d:0.749

#296   d:0.749
#297   d:0.749
#298   d:0.749
#299   d:0.749
#300   d:0.749

#301   d:0.750
#302   d:0.750
#303   d:0.750
#304   d:0.750
#305   d:0.750

#306   d:0.750
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#311   d:0.750
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#315   d:0.750

#316   d:0.750
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#318   d:0.750
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#321   d:0.750
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#331   d:0.751
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#336   d:0.751
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#351   d:0.752
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#356   d:0.752
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#366   d:0.752
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#371   d:0.753
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#376   d:0.753
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#391   d:0.753
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#396   d:0.754
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#401   d:0.754
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#771   d:0.765
#772   d:0.765
#773   d:0.765
#774   d:0.765
#775   d:0.765

#776   d:0.765
#777   d:0.765
#778   d:0.765
#779   d:0.765
#780   d:0.765

#781   d:0.765
#782   d:0.765
#783   d:0.765
#784   d:0.765
#785   d:0.765

#786   d:0.765
#787   d:0.765
#788   d:0.765
#789   d:0.765
#790   d:0.765

#791   d:0.765
#792   d:0.765
#793   d:0.765
#794   d:0.765
#795   d:0.765

#796   d:0.765
#797   d:0.765
#798   d:0.765
#799   d:0.765
#800   d:0.765

#801   d:0.765
#802   d:0.765
#803   d:0.765
#804   d:0.765
#805   d:0.765

#806   d:0.765
#807   d:0.765
#808   d:0.765
#809   d:0.765
#810   d:0.765

#811   d:0.765
#812   d:0.765
#813   d:0.766
#814   d:0.766
#815   d:0.766

#816   d:0.766
#817   d:0.766
#818   d:0.766
#819   d:0.766
#820   d:0.766

#821   d:0.766
#822   d:0.766
#823   d:0.766
#824   d:0.766
#825   d:0.766

#826   d:0.766
#827   d:0.766
#828   d:0.766
#829   d:0.766
#830   d:0.766

#831   d:0.766
#832   d:0.766
#833   d:0.766
#834   d:0.766
#835   d:0.766

#836   d:0.766
#837   d:0.766
#838   d:0.766
#839   d:0.766
#840   d:0.766

#841   d:0.766
#842   d:0.766
#843   d:0.766
#844   d:0.766
#845   d:0.766

#846   d:0.767
#847   d:0.767
#848   d:0.767
#849   d:0.767
#850   d:0.767

#851   d:0.767
#852   d:0.767
#853   d:0.767
#854   d:0.767
#855   d:0.767

#856   d:0.767
#857   d:0.767
#858   d:0.767
#859   d:0.767
#860   d:0.767

#861   d:0.767
#862   d:0.767
#863   d:0.767
#864   d:0.767
#865   d:0.767

#866   d:0.767
#867   d:0.767
#868   d:0.767
#869   d:0.767
#870   d:0.767

#871   d:0.767
#872   d:0.767
#873   d:0.767
#874   d:0.767
#875   d:0.767

#876   d:0.767
#877   d:0.767
#878   d:0.767
#879   d:0.767
#880   d:0.767

#881   d:0.767
#882   d:0.767
#883   d:0.767
#884   d:0.767
#885   d:0.767

#886   d:0.767
#887   d:0.768
#888   d:0.768
#889   d:0.768
#890   d:0.768

#891   d:0.768
#892   d:0.768
#893   d:0.768
#894   d:0.768
#895   d:0.768

#896   d:0.768
#897   d:0.768
#898   d:0.768
#899   d:0.768
#900   d:0.768

#901   d:0.768
#902   d:0.768
#903   d:0.768
#904   d:0.768
#905   d:0.768

#906   d:0.768
#907   d:0.768
#908   d:0.768
#909   d:0.768
#910   d:0.768

#911   d:0.768
#912   d:0.768
#913   d:0.768
#914   d:0.768
#915   d:0.768

#916   d:0.768
#917   d:0.768
#918   d:0.768
#919   d:0.768
#920   d:0.768

#921   d:0.768
#922   d:0.768
#923   d:0.768
#924   d:0.768
#925   d:0.768

#926   d:0.768
#927   d:0.768
#928   d:0.768
#929   d:0.768
#930   d:0.768

#931   d:0.768
#932   d:0.768
#933   d:0.768
#934   d:0.769
#935   d:0.769

#936   d:0.769
#937   d:0.769
#938   d:0.769
#939   d:0.769
#940   d:0.769

#941   d:0.769
#942   d:0.769
#943   d:0.769
#944   d:0.769
#945   d:0.769

#946   d:0.769
#947   d:0.769
#948   d:0.769
#949   d:0.769
#950   d:0.769

#951   d:0.769
#952   d:0.769
#953   d:0.769
#954   d:0.769
#955   d:0.769

#956   d:0.769
#957   d:0.769
#958   d:0.769
#959   d:0.769
#960   d:0.769

#961   d:0.769
#962   d:0.769
#963   d:0.769
#964   d:0.769
#965   d:0.769

#966   d:0.769
#967   d:0.769
#968   d:0.769
#969   d:0.769
#970   d:0.769

#971   d:0.769
#972   d:0.769
#973   d:0.769
#974   d:0.769
#975   d:0.769

#976   d:0.769
#977   d:0.769
#978   d:0.769
#979   d:0.769
#980   d:0.769

#981   d:0.769
#982   d:0.769
#983   d:0.769
#984   d:0.770
#985   d:0.770

#986   d:0.770
#987   d:0.770
#988   d:0.770
#989   d:0.770
#990   d:0.770

#991   d:0.770
#992   d:0.770
#993   d:0.770
#994   d:0.770
#995   d:0.770

#996   d:0.770
#997   d:0.770
#998   d:0.770
#999   d:0.770
#1000   d:0.770
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |