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Found 2 papers, 1 papers with code
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model
The dispersion model is introduced to simulate realistic spectral variation, and an efficient method to fit the parameters is presented.
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems
We consider the problem of recovering a complex vector $\mathbf{x}\in \mathbb{C}^n$ from $m$ quadratic measurements $\{\langle A_i\mathbf{x}, \mathbf{x}\rangle\}_{i=1}^m$.
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