Compressed Learning: A Deep Neural Network Approach

نویسندگان

  • Amir Adler
  • Michael Elad
  • Michael Zibulevsky
چکیده

This work presents a novel deep learning approach to Compressed-Learning.  Jointly optimizing the sensing and inference operators. Outperforming state-of-the-art CL methods on MNIST and CIFAR10. Extendible to numerous CL applications. The research leading to these results has received funding from the European Research Council under European Union's Seventh Framework Program, ERC Grant agreement no. 320,649.

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عنوان ژورنال:
  • CoRR

دوره abs/1610.09615  شماره 

صفحات  -

تاریخ انتشار 2016