Query: 5006372649

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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: 5006372649

#1   d:0.000
#2   d:0.663
#3   d:0.677
#4   d:0.678
#5   d:0.678

#6   d:0.679
#7   d:0.686
#8   d:0.687
#9   d:0.690
#10   d:0.691

#11   d:0.692
#12   d:0.695
#13   d:0.696
#14   d:0.696
#15   d:0.696

#16   d:0.698
#17   d:0.700
#18   d:0.701
#19   d:0.701
#20   d:0.705

#21   d:0.705
#22   d:0.707
#23   d:0.708
#24   d:0.708
#25   d:0.710

#26   d:0.710
#27   d:0.711
#28   d:0.711
#29   d:0.712
#30   d:0.712

#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:0.714
#38   d:0.714
#39   d:0.715
#40   d:0.715

#41   d:0.716
#42   d:0.716
#43   d:0.716
#44   d:0.717
#45   d:0.718

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

#51   d:0.721
#52   d:0.722
#53   d:0.722
#54   d:0.722
#55   d:0.722

#56   d:0.723
#57   d:0.723
#58   d:0.723
#59   d:0.724
#60   d:0.724

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

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

#71   d:0.726
#72   d:0.726
#73   d:0.727
#74   d:0.727
#75   d:0.727

#76   d:0.728
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#78   d:0.728
#79   d:0.729
#80   d:0.729

#81   d:0.729
#82   d:0.729
#83   d:0.729
#84   d:0.729
#85   d:0.729

#86   d:0.730
#87   d:0.730
#88   d:0.730
#89   d:0.730
#90   d:0.731

#91   d:0.731
#92   d:0.731
#93   d:0.731
#94   d:0.732
#95   d:0.732

#96   d:0.732
#97   d:0.732
#98   d:0.733
#99   d:0.733
#100   d:0.733

#101   d:0.733
#102   d:0.734
#103   d:0.734
#104   d:0.734
#105   d:0.734

#106   d:0.734
#107   d:0.734
#108   d:0.734
#109   d:0.735
#110   d:0.735

#111   d:0.735
#112   d:0.735
#113   d:0.735
#114   d:0.735
#115   d:0.735

#116   d:0.736
#117   d:0.736
#118   d:0.736
#119   d:0.736
#120   d:0.736

#121   d:0.736
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#123   d:0.736
#124   d:0.736
#125   d:0.736

#126   d:0.737
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#130   d:0.737

#131   d:0.737
#132   d:0.737
#133   d:0.737
#134   d:0.737
#135   d:0.738

#136   d:0.738
#137   d:0.738
#138   d:0.738
#139   d:0.738
#140   d:0.738

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

#146   d:0.739
#147   d:0.739
#148   d:0.739
#149   d:0.739
#150   d:0.739

#151   d:0.739
#152   d:0.740
#153   d:0.740
#154   d:0.740
#155   d:0.740

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

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

#166   d:0.741
#167   d:0.741
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#169   d:0.741
#170   d:0.741

#171   d:0.741
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#175   d:0.741

#176   d:0.741
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#180   d:0.742

#181   d:0.742
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#185   d:0.742

#186   d:0.742
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#189   d:0.742
#190   d:0.742

#191   d:0.742
#192   d:0.743
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#195   d:0.743

#196   d:0.743
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#200   d:0.743

#201   d:0.743
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#204   d:0.744
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#206   d:0.744
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#215   d:0.745

#216   d:0.745
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#220   d:0.745

#221   d:0.745
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#225   d:0.746

#226   d:0.746
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#229   d:0.746
#230   d:0.746

#231   d:0.746
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#234   d:0.746
#235   d:0.746

#236   d:0.746
#237   d:0.746
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#239   d:0.747
#240   d:0.747

#241   d:0.747
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#243   d:0.747
#244   d:0.747
#245   d:0.747

#246   d:0.747
#247   d:0.747
#248   d:0.747
#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:0.748
#258   d:0.748
#259   d:0.748
#260   d:0.748

#261   d:0.748
#262   d:0.748
#263   d:0.748
#264   d:0.748
#265   d:0.748

#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:0.749
#279   d:0.749
#280   d:0.749

#281   d:0.749
#282   d:0.749
#283   d:0.749
#284   d:0.749
#285   d:0.749

#286   d:0.749
#287   d:0.749
#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:0.750
#298   d:0.750
#299   d:0.750
#300   d:0.750

#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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#308   d:0.750
#309   d:0.750
#310   d:0.750

#311   d:0.751
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#315   d:0.751

#316   d:0.751
#317   d:0.751
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#319   d:0.751
#320   d:0.751

#321   d:0.751
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#326   d:0.751
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#331   d:0.752
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#336   d:0.752
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#341   d:0.752
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#344   d:0.752
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#346   d:0.752
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#351   d:0.753
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#356   d:0.753
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#361   d:0.753
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#366   d:0.754
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#368   d:0.754
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#371   d:0.754
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#376   d:0.754
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#381   d:0.754
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#385   d:0.755

#386   d:0.755
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#389   d:0.755
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#391   d:0.755
#392   d:0.755
#393   d:0.755
#394   d:0.755
#395   d:0.755

#396   d:0.755
#397   d:0.755
#398   d:0.755
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#401   d:0.755
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#403   d:0.755
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#406   d:0.755
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#411   d:0.755
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#768   d:0.768
#769   d:0.768
#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:0.769

#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:0.769
#823   d:0.769
#824   d:0.769
#825   d:0.769

#826   d:0.769
#827   d:0.769
#828   d:0.769
#829   d:0.769
#830   d:0.769

#831   d:0.769
#832   d:0.769
#833   d:0.769
#834   d:0.769
#835   d:0.769

#836   d:0.769
#837   d:0.769
#838   d:0.769
#839   d:0.769
#840   d:0.769

#841   d:0.769
#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:0.770
#852   d:0.770
#853   d:0.770
#854   d:0.770
#855   d:0.770

#856   d:0.770
#857   d:0.770
#858   d:0.770
#859   d:0.770
#860   d:0.770

#861   d:0.770
#862   d:0.770
#863   d:0.770
#864   d:0.770
#865   d:0.770

#866   d:0.770
#867   d:0.770
#868   d:0.770
#869   d:0.770
#870   d:0.770

#871   d:0.770
#872   d:0.770
#873   d:0.770
#874   d:0.770
#875   d:0.770

#876   d:0.770
#877   d:0.770
#878   d:0.770
#879   d:0.770
#880   d:0.770

#881   d:0.770
#882   d:0.770
#883   d:0.770
#884   d:0.770
#885   d:0.770

#886   d:0.770
#887   d:0.770
#888   d:0.770
#889   d:0.770
#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:0.771
#903   d:0.771
#904   d:0.771
#905   d:0.771

#906   d:0.771
#907   d:0.771
#908   d:0.771
#909   d:0.771
#910   d:0.771

#911   d:0.771
#912   d:0.771
#913   d:0.771
#914   d:0.771
#915   d:0.771

#916   d:0.771
#917   d:0.771
#918   d:0.771
#919   d:0.771
#920   d:0.771

#921   d:0.771
#922   d:0.771
#923   d:0.771
#924   d:0.771
#925   d:0.771

#926   d:0.771
#927   d:0.771
#928   d:0.771
#929   d:0.771
#930   d:0.771

#931   d:0.771
#932   d:0.771
#933   d:0.771
#934   d:0.771
#935   d:0.771

#936   d:0.771
#937   d:0.771
#938   d:0.771
#939   d:0.771
#940   d:0.771

#941   d:0.771
#942   d:0.771
#943   d:0.771
#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:0.772
#952   d:0.772
#953   d:0.772
#954   d:0.772
#955   d:0.772

#956   d:0.772
#957   d:0.772
#958   d:0.772
#959   d:0.772
#960   d:0.772

#961   d:0.772
#962   d:0.772
#963   d:0.772
#964   d:0.772
#965   d:0.772

#966   d:0.772
#967   d:0.772
#968   d:0.772
#969   d:0.772
#970   d:0.772

#971   d:0.772
#972   d:0.772
#973   d:0.772
#974   d:0.772
#975   d:0.772

#976   d:0.772
#977   d:0.772
#978   d:0.772
#979   d:0.772
#980   d:0.772

#981   d:0.772
#982   d:0.772
#983   d:0.772
#984   d:0.772
#985   d:0.772

#986   d:0.772
#987   d:0.772
#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 |