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Table 1. Number of photos and photo views per bucket.
"... In PAGE 2: ...he photo views is very skewed, i.e. a small fraction of the photos generates most of the views. Table1 shows the distribution of photos per bucket, where a bucket groups the photos based on the number of views. For instance, the top most frequent bucket contains 105 photos, which have had at least 1,024 views.... In PAGE 2: ... The second column refers to the total number of photo views for a slice. Rather than continu- ing with the buckets of Table1 , we will use this partitioning for the remainder of this article, because it is more balanced and less biased towards the popular photos. The first slice (0-10%) contains the topmost viewed photos, whereas the the slices from 50% and up contain the photos that are only viewed once.... ..."
Table 1. Information of the evaluation photo sets. Type # photos Descriptions Length of
"... In PAGE 11: ...We evaluate the proposed approaches from both objective and subjective perspectives. Five photo sets taken by different amateurs are used for evaluation, as listed in Table1 . Two of them were taken in progress of travel, two were taken in special events such as wedding and graduate ceremonies, and one of them contains totally landscapes.... In PAGE 11: ... Two of them were taken in progress of travel, two were taken in special events such as wedding and graduate ceremonies, and one of them contains totally landscapes. Table1 also shows the length of the incidental music for the final presentation. These music clips are all pop music.... ..."
Table 2: correlation matrix of the photo orientations
"... In PAGE 3: ...Table 2: correlation matrix of the photo orientations Table2 shows the strong correlation listed with 1.00, that means it is larger than 0.... ..."
Table-3: Generated photo layer resolution levels
Table 2. Photo-realistic Image Sources
2004
"... In PAGE 8: ...able 1. Vertical Accuracy Performance Requirements..............................................................4 Table2 .... ..."
Table 5. Credits
"... In PAGE 12: ...able 4. PPV and IPPV............................................................................ 40 Table5 .... In PAGE 36: ...5 Credits With IPPV follows the need of having credit accounts on the smartcard. The credits category contains functions to handle these accounts (see Table5 in appendix). The Kappa and Sigma APIs provide functions to retrieve information about these accounts, e.... ..."
Table 11. Trade Credit
1999
"... In PAGE 2: ... Presence of Regular Partners and Ease of Search Table 10. Regular Suppliers and Clients Table11 . Trade Credit... ..."
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