16 citations · 44 across the 13 of their papers we have counts for
5 papers · 1 filter
MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning
Mona Zehni, Zhizhen Zhao
Multi-segment reconstruction (MSR) is the problem of estimating a signal given noisy partial observations. Here each observation corresponds to a randomly located segment of the si…
3D unknown view tomography via rotation invariants
Mona Zehni, Shuai Huang, Ivan Dokmanić +1
In this paper, we study the problem of reconstructing a 3D point source model from a set of 2D projections at unknown view angles. Our method obviates the need to recover the proje…
Geometric Invariants for Sparse Unknown View Tomography
Mona Zehni, Shuai Huang, Ivan Dokmanić +1
In this paper, we study a 2D tomography problem for point source models with random unknown view angles. Rather than recovering the projection angles, we reconstruct the model thro…
A Spectral Method for Stable Bispectrum Inversion with Application to Multireference Alignment
Hua Chen, Mona Zehni, Zhizhen Zhao
We focus on an alignment-free method to estimate the underlying signal from a large number of noisy randomly shifted observations. Specifically, we estimate the mean, power spectru…
Multi-Segment Reconstruction Using Invariant Features
Mona Zehni, Minh N. Do, Zhizhen Zhao
Multi-segment reconstruction (MSR) problem consists of recovering a signal from noisy segments with unknown positions of the observation windows. One example arises in DNA sequence…