463 citations · 5.1k across the 190 of their papers we have counts for
6 papers · 1 filter
Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise
Yan Kaganovsky, Shaobo Han, Soysal Degirmenci +4
We propose a globally convergent alternating minimization (AM) algorithm for image reconstruction in transmission tomography, which extends automatic relevance determination (ARD)…
Generative Deep Deconvolutional Learning
Yunchen Pu, Xin Yuan, Lawrence Carin
A generative Bayesian model is developed for deep (multi-layer) convolutional dictionary learning. A novel probabilistic pooling operation is integrated into the deep model, yieldi…
Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
Francesco Renna, Liming Wang, Xin Yuan +5
This paper offers a characterization of fundamental limits on the classification and reconstruction of high-dimensional signals from low-dimensional features, in the presence of si…
Tree-Structure Bayesian Compressive Sensing for Video
Xin Yuan, Patrick Llull, David J. Brady +1
A Bayesian compressive sensing framework is developed for video reconstruction based on the color coded aperture compressive temporal imaging (CACTI) system. By exploiting the thre…
Low-Cost Compressive Sensing for Color Video and Depth
Xin Yuan, Patrick Llull, Xuejun Liao +4
A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover {multiple} color frames for ea…
Multiscale Shrinkage and Lévy Processes
Xin Yuan, Vinayak Rao, Shaobo Han +1
A new shrinkage-based construction is developed for a compressible vector , for cases in which the components of $\xv$ are naturally associated with…