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Statistical Analysis of Massive Data Streams Proceedings of a Workshop (2004) / Chapter Skim
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Pages 186-186

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 186...
... Version 4.0 (October 2002) of the CSU package contains source code that implements 13 different face recognition algorithms, scripts for applying those algorithms to images from the FERET data set, and source code for Monte Carlo studies of the distribution of the performance of the recognition algorithms.
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Key Terms

  • training data
  • feret data
  • image space
  • eye coordinates
  • monte carlo

  • recognition task
  • recognition algorithms
  • error rate
  • evaluation procedure


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
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