55 citations · 88 across the 12 of their papers we have counts for
12 papers
Sequential edge detection using joint hierarchical Bayesian learning
Yao Xiao, Anne Gelb, Guohui Song
This paper introduces a new sparse Bayesian learning (SBL) algorithm that jointly recovers a temporal sequence of edge maps from noisy and under-sampled Fourier data. The new metho…
Fast Multiscale Functional Estimation in Optimal EMG Placement for Robotic Prosthesis Controllers
Jin Ren, Guohui Song, Lucia Tabacu +1
Electrocardiogram (EMG) signals play a significant role in decoding muscle contraction information for robotic hand prosthesis controllers. Widely applied decoders require large am…
Sequential image recovery from noisy and under-sampled Fourier data
Yao Xiao, Jan Glaubitz, Anne Gelb +1
A new algorithm is developed to jointly recover a temporal sequence of images from noisy and under-sampled Fourier data. Specifically, we consider the case where each data set is m…
Generalized sparse Bayesian learning and application to image reconstruction
Jan Glaubitz, Anne Gelb, Guohui Song
Image reconstruction based on indirect, noisy, or incomplete data remains an important yet challenging task. While methods such as compressive sensing have demonstrated high-resolu…
A Divide-and-Conquer Algorithm for Distributed Optimization on Networks
Nazar Emirov, Guohui Song, Qiyu Sun
In this paper, we consider networks with topologies described by some connected undirected graph and with some agents (fusion centers) equipped with processi…
Multi-task Learning in Vector-valued Reproducing Kernel Banach Spaces with the Norm
Rongrong Lin, Guohui Song, Haizhang Zhang
Targeting at sparse multi-task learning, we consider regularization models with an penalty on the coefficients of kernel functions. In order to provide a kernel method for…