Covariance-Free Sparse Bayesian Learning-Reference-Cited by-同舟云学术

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Covariance-Free Sparse Bayesian Learning

Published:2022 Issue: Volume:70 Page:3818-3831
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Lin Alexander¹^ORCID,Song Andrew H.²^ORCID,Bilgic Berkin³,Ba Demba¹^ORCID

Affiliation:

1. School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA

2. Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, MA, USA

3. Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/78/9675017/9807393-aam.pdf

Reference45 articles.

1. Optimization of a GCaMP Calcium Indicator for Neural Activity Imaging

2. Fast online deconvolution of calcium imaging data

3. An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem

4. An introduction to the conjugate gradient method without the agonizing pain;shewchuk,1994

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