research
∙
07/30/2023
SR-R^2KAC: Improving Single Image Defocus Deblurring
We propose an efficient deep learning method for single image defocus de...
share
research
∙
06/08/2023
A Cover Time Study of a non-Markovian Algorithm
Given a traversal algorithm, cover time is the expected number of steps ...
research
∙
05/31/2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels
Learning from noisy labels is an important and long-standing problem in ...
research
∙
03/14/2023
Asymptotically Sharp Upper Bound for the Column Subset Selection Problem
This paper investigates the spectral norm version of the column subset s...
research
∙
10/19/2022
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
A promising paradigm for offline reinforcement learning (RL) is to const...
research
∙
09/19/2022
Affine phase retrieval for sparse signals via ℓ_1 minimization
Affine phase retrieval is the problem of recovering signals from the mag...
research
∙
09/13/2022
No existence of linear algorithm for Fourier phase retrieval
Fourier phase retrieval, which seeks to reconstruct a signal from its Fo...
research
∙
08/15/2022
Unsupervised Video Domain Adaptation: A Disentanglement Perspective
Unsupervised video domain adaptation is a practical yet challenging task...
research
∙
04/20/2022
Strong convexity of affine phase retrieval
The recovery of a signal from the intensity measurements with some entri...
research
∙
04/12/2022
The performance of quadratic models for complex phase retrieval
The aim of this paper is to study the performance of the amplitude-based...
research
∙
02/17/2022
Local Differential Privacy for Belief Functions
In this paper, we propose two new definitions of local differential priv...
research
∙
04/22/2021
Uniqueness and stability for the solution of a nonlinear least squares problem
In this paper, we focus on the nonlinear least squares: _𝐱∈ℍ^d |A𝐱|-𝐛 wh...
research
∙
08/20/2020
Sparse phase retrieval via Phaseliftoff
The aim of sparse phase retrieval is to recover a k-sparse signal 𝐱_0∈ℂ^...
research
∙
07/14/2020
Graph Sparsification by Universal Greedy Algorithms
Graph sparsification is to approximate an arbitrary graph by a sparse gr...
research
∙
04/19/2020
Performance bound of the intensity-based model for noisy phase retrieval
The aim of noisy phase retrieval is to estimate a signal x_0∈C^d from m ...
research
∙
11/26/2019
The recovery of complex sparse signals from few phaseless measurements
We study the stable recovery of complex k-sparse signals from as few pha...
research
∙
09/19/2019
Almost Everywhere Generalized Phase Retrieval
The aim of generalized phase retrieval is to recover x∈F^d from the quad...
research
∙
04/22/2019
The estimation performance of nonlinear least squares for phase retrieval
Suppose that y= Ax_0+η where x_0∈R^d is the target signal and η∈R^m is a...
research
∙
03/15/2019
Subset Selection for Matrices with Fixed Blocks
Subset selection for matrices is the task of extracting a column sub-mat...
research
∙
10/22/2018
On DC based Methods for Phase Retrieval
In this paper, we develop a new computational approach which is based on...
research
∙
08/22/2018
Improved bounds for the RIP of Subsampled Circulant matrices
In this paper, we study the restricted isometry property of partial rand...
research
∙
06/04/2018
Solving Systems of Quadratic Equations via Exponential-type Gradient Descent Algorithm
We consider the rank minimization problem from quadratic measurements, i...
research
∙
05/21/2018
Phase retrieval from the norms of affine transformations
In this paper, we consider the generalized phase retrieval from affine m...
research
∙
05/21/2018
Phase retrieval from the magnitudes of affine measurements
In this paper, we consider the generalized phase retrieval from affine m...
research
∙
05/26/2016
Stochastic Variance Reduced Riemannian Eigensolver
We study the stochastic Riemannian gradient algorithm for matrix eigen-d...
research
∙
12/25/2011
On B-spline framelets derived from the unitary extension principle
Spline wavelet tight frames of Ron-Shen have been used widely in frame b...
research
∙
04/07/2008
