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Challenges in Machine Generation of Analytic Products from Multi-Source Data Proceedings of a Workshop (2017) / Chapter Skim
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6 Session 5: Learning from Noisy, Adversarial Inputs
Pages 23-25

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 23...
... Honey suggested that ODNI look at how the technology, the people, the processes, and the system all work together and improve the overall architecture instead of simply attempting to improve individual components. Generating partnerships and building frameworks helps ODNI to determine what research and development investments need to be made in research related to national security.
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From page 24...
... Rodriguez commented that this thriving research field that started in academia quickly spread to industry, national laboratories, and federally funded research and development centers. Deep learning and computer vision algorithms can be used to detect images, understand patterns, and make insights about objects or events of interest.
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From page 25...
... In reference to McKeown's earlier comment on multi-modal data, Hoogs added that there is a treasure trove of data that the intelligence community could leverage -- for example, people blogging in real time while watching unmanned aerial vehicle camera footage.
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Key Terms

  • synthetic data
  • intelligence community
  • computer vision
  • learning approaches
  • artificial intelligence

  • graphical processing
  • intelligence assurance
  • convolutional neural
  • counter artificial
  • processing units

  • rodriguez commented
  • neural networks
  • social media
  • media data
  • real world

  • image processing
  • rodriguez explained
  • temporal sequences
  • complex activities
  • learning evolves

  • representation learning
  • various information
  • effective sharing
  • adversarial networks
  • treasure trove

  • remains difficult
  • vehicle camera
  • worth using
  • approaches remains
  • building frameworks


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