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:0.707
#9   d:0.708
#10   d:0.708

#11   d:0.710
#12   d:0.711
#13   d:0.712
#14   d:0.712
#15   d:0.713

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

#21   d:0.717
#22   d:0.717
#23   d:0.717
#24   d:0.718
#25   d:0.718

#26   d:0.718
#27   d:0.719
#28   d:0.720
#29   d:0.720
#30   d:0.721

#31   d:0.722
#32   d:0.723
#33   d:0.723
#34   d:0.723
#35   d:0.723

#36   d:0.723
#37   d:0.724
#38   d:0.724
#39   d:0.724
#40   d:0.725

#41   d:0.725
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#43   d:0.725
#44   d:0.726
#45   d:0.726

#46   d:0.726
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#48   d:0.726
#49   d:0.727
#50   d:0.727

#51   d:0.727
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#55   d:0.729

#56   d:0.729
#57   d:0.729
#58   d:0.729
#59   d:0.730
#60   d:0.730

#61   d:0.730
#62   d:0.730
#63   d:0.731
#64   d:0.731
#65   d:0.731

#66   d:0.731
#67   d:0.731
#68   d:0.731
#69   d:0.731
#70   d:0.732

#71   d:0.732
#72   d:0.732
#73   d:0.733
#74   d:0.733
#75   d:0.734

#76   d:0.734
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#78   d:0.734
#79   d:0.735
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#81   d:0.735
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#85   d:0.736

#86   d:0.736
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#91   d:0.737
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#96   d:0.737
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#99   d:0.738
#100   d:0.738

#101   d:0.738
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#105   d:0.738

#106   d:0.738
#107   d:0.738
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#109   d:0.738
#110   d:0.738

#111   d:0.738
#112   d:0.738
#113   d:0.738
#114   d:0.739
#115   d:0.739

#116   d:0.739
#117   d:0.739
#118   d:0.739
#119   d:0.739
#120   d:0.739

#121   d:0.739
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#123   d:0.739
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#125   d:0.739

#126   d:0.739
#127   d:0.740
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#130   d:0.740

#131   d:0.740
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#136   d:0.741
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#139   d:0.741
#140   d:0.741

#141   d:0.741
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#145   d:0.741

#146   d:0.741
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#150   d:0.742

#151   d:0.742
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#155   d:0.742

#156   d:0.742
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#160   d:0.743

#161   d:0.743
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#165   d:0.743

#166   d:0.743
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#171   d:0.743
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#176   d:0.744
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#181   d:0.744
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#186   d:0.745
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#191   d:0.746
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#196   d:0.746
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#201   d:0.747
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#206   d:0.747
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#211   d:0.747
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#216   d:0.748
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#231   d:0.748
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#235   d:0.749

#236   d:0.749
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#238   d:0.749
#239   d:0.749
#240   d:0.749

#241   d:0.749
#242   d:0.749
#243   d:0.750
#244   d:0.750
#245   d:0.750

#246   d:0.750
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#250   d:0.750

#251   d:0.750
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#255   d:0.750

#256   d:0.750
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#261   d:0.750
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#265   d:0.751

#266   d:0.751
#267   d:0.751
#268   d:0.751
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#270   d:0.751

#271   d:0.751
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#275   d:0.751

#276   d:0.751
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#284   d:0.752
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#286   d:0.752
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#291   d:0.752
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#296   d:0.752
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#301   d:0.753
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#306   d:0.753
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#321   d:0.754
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#768   d:0.769
#769   d:0.769
#770   d:0.769

#771   d:0.769
#772   d:0.769
#773   d:0.769
#774   d:0.769
#775   d:0.769

#776   d:0.769
#777   d:0.769
#778   d:0.769
#779   d:0.769
#780   d:0.769

#781   d:0.769
#782   d:0.769
#783   d:0.769
#784   d:0.769
#785   d:0.769

#786   d:0.769
#787   d:0.769
#788   d:0.769
#789   d:0.769
#790   d:0.769

#791   d:0.769
#792   d:0.769
#793   d:0.770
#794   d:0.770
#795   d:0.770

#796   d:0.770
#797   d:0.770
#798   d:0.770
#799   d:0.770
#800   d:0.770

#801   d:0.770
#802   d:0.770
#803   d:0.770
#804   d:0.770
#805   d:0.770

#806   d:0.770
#807   d:0.770
#808   d:0.770
#809   d:0.770
#810   d:0.770

#811   d:0.770
#812   d:0.770
#813   d:0.770
#814   d:0.770
#815   d:0.770

#816   d:0.770
#817   d:0.770
#818   d:0.770
#819   d:0.770
#820   d:0.770

#821   d:0.770
#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:0.771
#892   d:0.771
#893   d:0.771
#894   d:0.771
#895   d:0.771

#896   d:0.771
#897   d:0.771
#898   d:0.771
#899   d:0.771
#900   d:0.771

#901   d:0.771
#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:0.772

#931   d:0.772
#932   d:0.772
#933   d:0.772
#934   d:0.772
#935   d:0.772

#936   d:0.772
#937   d:0.772
#938   d:0.772
#939   d:0.772
#940   d:0.772

#941   d:0.772
#942   d:0.772
#943   d:0.772
#944   d:0.772
#945   d:0.772

#946   d:0.772
#947   d:0.772
#948   d:0.772
#949   d:0.772
#950   d:0.772

#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:0.773
#968   d:0.773
#969   d:0.773
#970   d:0.773

#971   d:0.773
#972   d:0.773
#973   d:0.773
#974   d:0.773
#975   d:0.773

#976   d:0.773
#977   d:0.773
#978   d:0.773
#979   d:0.773
#980   d:0.773

#981   d:0.773
#982   d:0.773
#983   d:0.773
#984   d:0.773
#985   d:0.773

#986   d:0.773
#987   d:0.773
#988   d:0.773
#989   d:0.773
#990   d:0.773

#991   d:0.773
#992   d:0.773
#993   d:0.773
#994   d:0.773
#995   d:0.773

#996   d:0.773
#997   d:0.773
#998   d:0.773
#999   d:0.773
#1000   d:0.773
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |