| Abstract: |
| The problem of separating a known matrix into its low rank and sparse components have found numerous applications in imaging, multimedia processing, statistical modeling, etc. In this talk we will explore this problem in a more complicated setting where the sparse component has been masked by a linear transformation. This problem was motivated by an electrodermal activity signal decomposition problem, but we believe it has a wider appeal. |
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