Results 261 to 270 of about 1,531 (279)

Federated Bayesian optimization via compressed sensing

Information Sciences
Federated Bayesian optimization (FBO) has been introduced in recent years to avoid privacy leakage when multiple clients involve in finishing a global optimization task. Parameter-sharing-based FBOs, as one branch of FBOs, however, compromise the optimization efficacy due to the reduced fitting ability of parameterized Gaussian processes (GPs). In this
Liu, Qiqi, Wu, Leming, Jin, Yaochu
openaire   +2 more sources

Bayesian compressive sensing for adaptive measurement of radar signal

2012 IEEE International Conference on Communications (ICC), 2012
The theory of Bayesian Compressive Sensing is briefly introduced. An evaluation index based on differential entropy of estimated signal is devised and the adaptive compressive measurement procedure without any prior information about the measured signals is presented in block manner.
Wei Wang 0046, Baoju Zhang
openaire   +1 more source

GRID matching in Monte Carlo Bayesian compressive sensing.

2019
HAVELSAN, METEKSAN SAVUNMA, TUBITAK, METRON Sci Solut, Off Naval Res Global Sci & Technol, Ankara Univ, Sabanci Univ, STM, TAI, ASELSAN, Koc Bilgi Savunma Teknolojileri A S, Kale Havacilik, Int Soc Infromat Fus, IEEE ...
Kyriakides, Ioannis, Pribic, Radmila, Sar, Hüseyin, At, Nuray   +3 more
openaire   +3 more sources

Uncertainty Quantification of Random Fields Based on Spatially Sparse Data by Synthesizing Bayesian Compressive Sensing and Stochastic Harmonic Function

Mechanical Systems and Signal Processing, 2021
Jianbing Chen, Xiaodan Ren, Jingran He   +2 more
exaly  

A deep heterogeneous optimization framework for Bayesian compressive sensing

Computer Communications, 2021
Gang Lei, Yugen Yi, Xinping Rao
exaly  

Heterogeneous Bayesian compressive sensing for sparse signal recovery

IET Signal Processing, 2014
Kaide Huang, Guoli Wang
exaly  

Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing

IEEE Transactions on Signal Processing, 2009
Lawrence Carin
exaly  

Reliable Diagnosis of Large Linear Arrays—A Bayesian Compressive Sensing Approach

IEEE Transactions on Antennas and Propagation, 2012
Giacomo Oliveri, Andrea Massa, Paolo Rocca   +2 more
exaly  

Exploiting Block-Sparsity for Hyperspectral Kronecker Compressive Sensing: A Tensor-Based Bayesian Method

IEEE Transactions on Image Processing, 2020
Jun Fu, Qiang Wang, Rongqiang Zhao
exaly  

Model based variational Bayesian compressive sensing using heavy tailed sparse prior

Signal Processing: Image Communication, 2016
Mohammad Hossein Kahaei, Farzan Haddadi, Zahra Sadeghigol   +2 more
exaly