Advanced Techniques for Low-Rank Matrix Approximation

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Ming Gu (UC Berkeley)
Randomized Numerical Linear Algebra and Applications
  1. Simons Institute
  2. Randomized Numerical Linear Algebra and Applications
  3. Ming Gu
  4. Simons Institute
  5. Theory of Computing
  6. Theory of Computation
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Advanced Techniques for 0:32:01

Advanced Techniques for Low-Rank Matrix Approximation

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Ming Gu -- Advanced Techniques for Low-rank Matrix Approximations

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7. Eckart-Young: The Closest Rank k Matrix to A

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The rank of a matrix

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14. Low Rank Changes in A and Its Inverse

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When your confidence level is over 9000 #victoraxelsen #badminton

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Ming Yuan: 'Low rank tensor completion'

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11 years later ❤️ @shrads