My daily readings 05/08/2010

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    • The data for this chart was derived from my interpretation of the Facebook Terms of Service over the years, along with my personal memories of the default privacy settings for different classes of personal data. The population sizes are statistics from Google, the Facebook Data Team, and wild guesses based on what seemed reasonable to me.

      I welcome data corrections, so please leave a comment below if you have better numbers to share.

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    • Then Facebook decided to turn “your” profile page into your identity online — figuring, rightly, that there’s money and power in being the place where people define themselves. But to do that, the folks at Facebook had to make sure that the information you give it was public.
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    • The rest of this paper is organized as follows: We first derive
      the multi-image PIFS algorithm by generalizing the single-
      image PIFS algorithm. We also describe a way to optimize said
      algorithm using DFT lookup tables. Afterwards, we take on
      the problem of combining the “right” images into groups, by
      first describing efficient ways to compute a distance function
      between two images, and then, in the next session, comparing
      a number of clustering algorithms working on such a distance.
      The final algorithm is evaluated by compression runs over a
      photo database consisting of 3928 images

Posted from Diigo. The rest of my favorite links are here.

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