183 citations · 763 across the 47 of their papers we have counts for
8 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…
Quantification of mismatch error in randomly switching linear state-space models
Parisa Karimi, Zhizhen Zhao, Mark Butala +1
Switching Kalman Filters (SKF) are well known for their ability to solve the piecewise linear dynamic system estimation problem using the standard Kalman Filter (KF). Practical SKF…
Efficient model selection in switching linear dynamic systems by graph clustering
Parisa Karimi, Mark Butala, Zhizhen Zhao +1
The computation required for a switching Kalman Filter (SKF) increases exponentially with the number of system operation modes. In this paper, a computationally tractable graph rep…
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…
Two-Dimensional Tomography From Noisy Projection Tilt Series Taken At Unknown View Angles With Non-Uniform Distribution
Lingda Wang, Zhizhen Zhao
We consider a problem that recovers a 2-D object and the underlying view angle distribution from its noisy projection tilt series taken at unknown view angles. Traditional approach…
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…