77 citations · 222 across the 11 of their papers we have counts for
11 papers
A CT Image Denoising Method with Residual Encoder-Decoder Network
Helena Shawn, Thompson Chyrikov, Jacob Lanet +3
Utilizing a low-dose CT approach significantly reduces the radiation exposure for patients, yet it introduces challenges, such as increased noise and artifacts in the resultant ima…
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
Laming Chen, Guoxin Zhang, Hanning Zhou
The determinantal point process (DPP) is an elegant probabilistic model of repulsion with applications in various machine learning tasks including summarization and search. However…
Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm
Jinye Zhang, Laming Chen, Petros T. Boufounos +1
Compressive sensing (CS) is a data acquisition technique that measures sparse or compressible signals at a sampling rate lower than their Nyquist rate. Results show that sparse sig…
On the Null Space Constant for Minimization
Laming Chen, Yuantao Gu
The literature on sparse recovery often adopts the "norm" as the penalty to induce sparsity of the signal satisfying an underdetermined linear system. The perfo…
The Convergence Guarantees of a Non-convex Approach for Sparse Recovery
Laming Chen, Yuantao Gu
In the area of sparse recovery, numerous researches hint that non-convex penalties might induce better sparsity than convex ones, but up until now those corresponding non-convex al…
On the Performance Bound of Sparse Estimation with Sensing Matrix Perturbation
Yujie Tang, Laming Chen, Yuantao Gu
This paper focusses on the sparse estimation in the situation where both the the sensing matrix and the measurement vector are corrupted by additive Gaussian noises. The performanc…