Query: 6145772328

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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: 6145772328

#1   d:0.000
#2   d:0.654
#3   d:0.672
#4   d:0.678
#5   d:0.680

#6   d:0.681
#7   d:0.683
#8   d:0.684
#9   d:0.684
#10   d:0.685

#11   d:0.687
#12   d:0.689
#13   d:0.690
#14   d:0.693
#15   d:0.695

#16   d:0.695
#17   d:0.696
#18   d:0.696
#19   d:0.696
#20   d:0.697

#21   d:0.697
#22   d:0.697
#23   d:0.702
#24   d:0.702
#25   d:0.703

#26   d:0.703
#27   d:0.703
#28   d:0.703
#29   d:0.704
#30   d:0.704

#31   d:0.704
#32   d:0.704
#33   d:0.704
#34   d:0.705
#35   d:0.705

#36   d:0.705
#37   d:0.706
#38   d:0.706
#39   d:0.706
#40   d:0.706

#41   d:0.706
#42   d:0.708
#43   d:0.710
#44   d:0.710
#45   d:0.711

#46   d:0.711
#47   d:0.713
#48   d:0.713
#49   d:0.713
#50   d:0.714

#51   d:0.714
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#55   d:0.715

#56   d:0.716
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#60   d:0.717

#61   d:0.717
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#66   d:0.718
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#70   d:0.718

#71   d:0.719
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#74   d:0.719
#75   d:0.719

#76   d:0.719
#77   d:0.720
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#80   d:0.720

#81   d:0.721
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#85   d:0.722

#86   d:0.722
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#89   d:0.723
#90   d:0.723

#91   d:0.723
#92   d:0.724
#93   d:0.724
#94   d:0.724
#95   d:0.724

#96   d:0.724
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#98   d:0.725
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#100   d:0.725

#101   d:0.725
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#106   d:0.726
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#111   d:0.727
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#116   d:0.727
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#121   d:0.728
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#126   d:0.729
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#131   d:0.730
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#135   d:0.731

#136   d:0.731
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#139   d:0.731
#140   d:0.731

#141   d:0.731
#142   d:0.732
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#145   d:0.732

#146   d:0.732
#147   d:0.732
#148   d:0.733
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#150   d:0.733

#151   d:0.733
#152   d:0.734
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#155   d:0.734

#156   d:0.734
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#160   d:0.734

#161   d:0.734
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#163   d:0.734
#164   d:0.735
#165   d:0.735

#166   d:0.735
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#170   d:0.736

#171   d:0.736
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#175   d:0.736

#176   d:0.736
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#181   d:0.738
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#186   d:0.738
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#189   d:0.739
#190   d:0.739

#191   d:0.739
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#196   d:0.739
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#200   d:0.739

#201   d:0.739
#202   d:0.739
#203   d:0.740
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#206   d:0.740
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#216   d:0.741
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#221   d:0.741
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#226   d:0.741
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#231   d:0.742
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#235   d:0.742

#236   d:0.742
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#240   d:0.742

#241   d:0.742
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#244   d:0.743
#245   d:0.743

#246   d:0.743
#247   d:0.743
#248   d:0.743
#249   d:0.743
#250   d:0.743

#251   d:0.743
#252   d:0.744
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#254   d:0.744
#255   d:0.744

#256   d:0.744
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#261   d:0.744
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#264   d:0.744
#265   d:0.744

#266   d:0.745
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#270   d:0.745

#271   d:0.745
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#275   d:0.745

#276   d:0.745
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#280   d:0.745

#281   d:0.746
#282   d:0.746
#283   d:0.746
#284   d:0.746
#285   d:0.746

#286   d:0.746
#287   d:0.746
#288   d:0.746
#289   d:0.746
#290   d:0.746

#291   d:0.746
#292   d:0.746
#293   d:0.746
#294   d:0.747
#295   d:0.747

#296   d:0.747
#297   d:0.747
#298   d:0.747
#299   d:0.747
#300   d:0.747

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

#306   d:0.748
#307   d:0.748
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#309   d:0.748
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#311   d:0.748
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#314   d:0.748
#315   d:0.748

#316   d:0.748
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#318   d:0.749
#319   d:0.749
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#321   d:0.749
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#326   d:0.749
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#331   d:0.749
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#333   d:0.749
#334   d:0.749
#335   d:0.749

#336   d:0.750
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#351   d:0.750
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#356   d:0.750
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#361   d:0.750
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#376   d:0.751
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#396   d:0.752
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#401   d:0.752
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#406   d:0.753
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#768   d:0.767
#769   d:0.767
#770   d:0.768

#771   d:0.768
#772   d:0.768
#773   d:0.768
#774   d:0.768
#775   d:0.768

#776   d:0.768
#777   d:0.768
#778   d:0.768
#779   d:0.768
#780   d:0.768

#781   d:0.768
#782   d:0.768
#783   d:0.768
#784   d:0.768
#785   d:0.768

#786   d:0.768
#787   d:0.768
#788   d:0.768
#789   d:0.768
#790   d:0.768

#791   d:0.768
#792   d:0.768
#793   d:0.768
#794   d:0.768
#795   d:0.768

#796   d:0.769
#797   d:0.769
#798   d:0.769
#799   d:0.769
#800   d:0.769

#801   d:0.769
#802   d:0.769
#803   d:0.769
#804   d:0.769
#805   d:0.769

#806   d:0.769
#807   d:0.769
#808   d:0.769
#809   d:0.769
#810   d:0.769

#811   d:0.769
#812   d:0.769
#813   d:0.769
#814   d:0.769
#815   d:0.769

#816   d:0.769
#817   d:0.769
#818   d:0.769
#819   d:0.769
#820   d:0.769

#821   d:0.769
#822   d:0.770
#823   d:0.770
#824   d:0.770
#825   d:0.770

#826   d:0.770
#827   d:0.770
#828   d:0.770
#829   d:0.770
#830   d:0.770

#831   d:0.770
#832   d:0.770
#833   d:0.770
#834   d:0.770
#835   d:0.770

#836   d:0.770
#837   d:0.770
#838   d:0.770
#839   d:0.770
#840   d:0.770

#841   d:0.770
#842   d:0.770
#843   d:0.770
#844   d:0.770
#845   d:0.770

#846   d:0.770
#847   d:0.770
#848   d:0.770
#849   d:0.770
#850   d:0.770

#851   d:0.771
#852   d:0.771
#853   d:0.771
#854   d:0.771
#855   d:0.771

#856   d:0.771
#857   d:0.771
#858   d:0.771
#859   d:0.771
#860   d:0.771

#861   d:0.771
#862   d:0.771
#863   d:0.771
#864   d:0.771
#865   d:0.771

#866   d:0.771
#867   d:0.771
#868   d:0.771
#869   d:0.771
#870   d:0.771

#871   d:0.771
#872   d:0.771
#873   d:0.771
#874   d:0.771
#875   d:0.771

#876   d:0.771
#877   d:0.771
#878   d:0.771
#879   d:0.771
#880   d:0.771

#881   d:0.771
#882   d:0.771
#883   d:0.771
#884   d:0.771
#885   d:0.771

#886   d:0.771
#887   d:0.771
#888   d:0.771
#889   d:0.771
#890   d:0.771

#891   d:0.772
#892   d:0.772
#893   d:0.772
#894   d:0.772
#895   d:0.772

#896   d:0.772
#897   d:0.772
#898   d:0.772
#899   d:0.772
#900   d:0.772

#901   d:0.772
#902   d:0.772
#903   d:0.772
#904   d:0.772
#905   d:0.772

#906   d:0.772
#907   d:0.772
#908   d:0.772
#909   d:0.772
#910   d:0.772

#911   d:0.772
#912   d:0.772
#913   d:0.772
#914   d:0.772
#915   d:0.772

#916   d:0.772
#917   d:0.772
#918   d:0.772
#919   d:0.772
#920   d:0.772

#921   d:0.772
#922   d:0.772
#923   d:0.772
#924   d:0.772
#925   d:0.772

#926   d:0.772
#927   d:0.772
#928   d:0.772
#929   d:0.772
#930   d:0.773

#931   d:0.773
#932   d:0.773
#933   d:0.773
#934   d:0.773
#935   d:0.773

#936   d:0.773
#937   d:0.773
#938   d:0.773
#939   d:0.773
#940   d:0.773

#941   d:0.773
#942   d:0.773
#943   d:0.773
#944   d:0.773
#945   d:0.773

#946   d:0.773
#947   d:0.773
#948   d:0.773
#949   d:0.773
#950   d:0.773

#951   d:0.773
#952   d:0.773
#953   d:0.773
#954   d:0.773
#955   d:0.773

#956   d:0.773
#957   d:0.773
#958   d:0.773
#959   d:0.773
#960   d:0.773

#961   d:0.773
#962   d:0.773
#963   d:0.773
#964   d:0.773
#965   d:0.773

#966   d:0.773
#967   d:0.774
#968   d:0.774
#969   d:0.774
#970   d:0.774

#971   d:0.774
#972   d:0.774
#973   d:0.774
#974   d:0.774
#975   d:0.774

#976   d:0.774
#977   d:0.774
#978   d:0.774
#979   d:0.774
#980   d:0.774

#981   d:0.774
#982   d:0.774
#983   d:0.774
#984   d:0.774
#985   d:0.774

#986   d:0.774
#987   d:0.774
#988   d:0.774
#989   d:0.774
#990   d:0.774

#991   d:0.774
#992   d:0.774
#993   d:0.774
#994   d:0.774
#995   d:0.774

#996   d:0.774
#997   d:0.774
#998   d:0.774
#999   d:0.774
#1000   d:0.774
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |