Query: 692798533

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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: 692798533

#1   d:0.000
#2   d:0.574
#3   d:0.666
#4   d:0.670
#5   d:0.676

#6   d:0.695
#7   d:0.713
#8   d:0.714
#9   d:0.715
#10   d:0.717

#11   d:0.718
#12   d:0.718
#13   d:0.720
#14   d:0.721
#15   d:0.722

#16   d:0.724
#17   d:0.724
#18   d:0.725
#19   d:0.725
#20   d:0.727

#21   d:0.727
#22   d:0.727
#23   d:0.727
#24   d:0.727
#25   d:0.727

#26   d:0.728
#27   d:0.730
#28   d:0.731
#29   d:0.731
#30   d:0.733

#31   d:0.733
#32   d:0.733
#33   d:0.733
#34   d:0.734
#35   d:0.734

#36   d:0.734
#37   d:0.735
#38   d:0.735
#39   d:0.735
#40   d:0.735

#41   d:0.735
#42   d:0.735
#43   d:0.736
#44   d:0.736
#45   d:0.736

#46   d:0.736
#47   d:0.736
#48   d:0.736
#49   d:0.736
#50   d:0.737

#51   d:0.738
#52   d:0.738
#53   d:0.739
#54   d:0.739
#55   d:0.739

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

#61   d:0.741
#62   d:0.741
#63   d:0.743
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#65   d:0.743

#66   d:0.743
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#70   d:0.744

#71   d:0.744
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#76   d:0.747
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#81   d:0.747
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#86   d:0.748
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#88   d:0.749
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#90   d:0.749

#91   d:0.749
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#96   d:0.751
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#101   d:0.752
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#106   d:0.754
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#111   d:0.755
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#116   d:0.755
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#131   d:0.757
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#136   d:0.759
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#140   d:0.760

#141   d:0.760
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#146   d:0.760
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#151   d:0.761
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#156   d:0.761
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#161   d:0.761
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#166   d:0.762
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#171   d:0.763
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#176   d:0.763
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#181   d:0.763
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#186   d:0.764
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#190   d:0.764

#191   d:0.764
#192   d:0.765
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#201   d:0.766
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#206   d:0.766
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#231   d:0.769
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#235   d:0.769

#236   d:0.769
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#238   d:0.769
#239   d:0.769
#240   d:0.769

#241   d:0.769
#242   d:0.769
#243   d:0.770
#244   d:0.770
#245   d:0.770

#246   d:0.770
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#250   d:0.770

#251   d:0.770
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#254   d:0.770
#255   d:0.770

#256   d:0.771
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#261   d:0.771
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#266   d:0.772
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#271   d:0.772
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#274   d:0.772
#275   d:0.773

#276   d:0.773
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#281   d:0.773
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#286   d:0.773
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#291   d:0.774
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#294   d:0.774
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#296   d:0.774
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#300   d:0.774

#301   d:0.775
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#304   d:0.775
#305   d:0.775

#306   d:0.775
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#311   d:0.775
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#316   d:0.776
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#326   d:0.777
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#331   d:0.777
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#351   d:0.778
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#376   d:0.779
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#381   d:0.779
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#396   d:0.780
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#401   d:0.780
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#406   d:0.781
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#770   d:0.795

#771   d:0.795
#772   d:0.796
#773   d:0.796
#774   d:0.796
#775   d:0.796

#776   d:0.796
#777   d:0.796
#778   d:0.796
#779   d:0.796
#780   d:0.796

#781   d:0.796
#782   d:0.796
#783   d:0.796
#784   d:0.796
#785   d:0.796

#786   d:0.796
#787   d:0.796
#788   d:0.796
#789   d:0.796
#790   d:0.796

#791   d:0.796
#792   d:0.796
#793   d:0.796
#794   d:0.796
#795   d:0.796

#796   d:0.796
#797   d:0.796
#798   d:0.796
#799   d:0.796
#800   d:0.796

#801   d:0.796
#802   d:0.796
#803   d:0.796
#804   d:0.796
#805   d:0.797

#806   d:0.797
#807   d:0.797
#808   d:0.797
#809   d:0.797
#810   d:0.797

#811   d:0.797
#812   d:0.797
#813   d:0.797
#814   d:0.797
#815   d:0.797

#816   d:0.797
#817   d:0.797
#818   d:0.797
#819   d:0.797
#820   d:0.797

#821   d:0.797
#822   d:0.797
#823   d:0.797
#824   d:0.797
#825   d:0.797

#826   d:0.797
#827   d:0.797
#828   d:0.797
#829   d:0.797
#830   d:0.797

#831   d:0.797
#832   d:0.797
#833   d:0.797
#834   d:0.797
#835   d:0.797

#836   d:0.797
#837   d:0.797
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#839   d:0.798
#840   d:0.798

#841   d:0.798
#842   d:0.798
#843   d:0.798
#844   d:0.798
#845   d:0.798

#846   d:0.798
#847   d:0.798
#848   d:0.798
#849   d:0.798
#850   d:0.798

#851   d:0.798
#852   d:0.798
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#854   d:0.798
#855   d:0.798

#856   d:0.798
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#859   d:0.798
#860   d:0.798

#861   d:0.798
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#865   d:0.799

#866   d:0.799
#867   d:0.799
#868   d:0.799
#869   d:0.799
#870   d:0.799

#871   d:0.799
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#875   d:0.799

#876   d:0.799
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#880   d:0.799

#881   d:0.799
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#885   d:0.799

#886   d:0.799
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#890   d:0.799

#891   d:0.799
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#895   d:0.800

#896   d:0.800
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#900   d:0.800

#901   d:0.800
#902   d:0.800
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#904   d:0.800
#905   d:0.800

#906   d:0.800
#907   d:0.800
#908   d:0.800
#909   d:0.800
#910   d:0.800

#911   d:0.800
#912   d:0.800
#913   d:0.800
#914   d:0.800
#915   d:0.800

#916   d:0.800
#917   d:0.800
#918   d:0.800
#919   d:0.800
#920   d:0.800

#921   d:0.800
#922   d:0.800
#923   d:0.800
#924   d:0.800
#925   d:0.800

#926   d:0.800
#927   d:0.800
#928   d:0.800
#929   d:0.800
#930   d:0.801

#931   d:0.801
#932   d:0.801
#933   d:0.801
#934   d:0.801
#935   d:0.801

#936   d:0.801
#937   d:0.801
#938   d:0.801
#939   d:0.801
#940   d:0.801

#941   d:0.801
#942   d:0.801
#943   d:0.801
#944   d:0.801
#945   d:0.801

#946   d:0.801
#947   d:0.801
#948   d:0.801
#949   d:0.801
#950   d:0.801

#951   d:0.801
#952   d:0.801
#953   d:0.801
#954   d:0.801
#955   d:0.801

#956   d:0.801
#957   d:0.801
#958   d:0.801
#959   d:0.801
#960   d:0.801

#961   d:0.801
#962   d:0.801
#963   d:0.801
#964   d:0.801
#965   d:0.801

#966   d:0.801
#967   d:0.801
#968   d:0.801
#969   d:0.801
#970   d:0.801

#971   d:0.801
#972   d:0.802
#973   d:0.802
#974   d:0.802
#975   d:0.802

#976   d:0.802
#977   d:0.802
#978   d:0.802
#979   d:0.802
#980   d:0.802

#981   d:0.802
#982   d:0.802
#983   d:0.802
#984   d:0.802
#985   d:0.802

#986   d:0.802
#987   d:0.802
#988   d:0.802
#989   d:0.802
#990   d:0.802

#991   d:0.802
#992   d:0.802
#993   d:0.802
#994   d:0.802
#995   d:0.802

#996   d:0.802
#997   d:0.802
#998   d:0.802
#999   d:0.802
#1000   d:0.802
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |