Results 141 to 150 of about 7,185 (222)

An Adaptive Multiparameter Penalty Selection Method for Multiconstraint and Multiblock ADMM. [PDF]

IEEE Open J Signal Process
Lozenski L, McCann MT, Wohlberg B.
europepmc   +1 more source

Inner-Loop-Free ADMM for Cryo-EM

Thanks to recent advances in signal processing, the interest for fast ℓ1-regularized reconstruction algorithms in cryo-electron microscopy (cryo-EM) has intensified.
Unser, Michaël, Donati, Laurène, Soubies, Emmanuel   +2 more
core   +1 more source

Joint power-time resource optimization for multi-tag RFID wireless power transfer via model predictive control and ADMM. [PDF]

PLoS One
Yuan L, Wang X, Chen H, Wang Y.
europepmc   +1 more source

High-Resolution Diffusion-Weighted Imaging With Self-Gated Self-Supervised Unrolled Reconstruction. [PDF]

Magn Reson Med
Tan Z, Liebig PA, Hofmann A, Laun FB, Knoll F.   +4 more
europepmc   +1 more source

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM

Distributed optimization is a fundamental framework for collaborative inference and decision making in decentralized multi-agent systems. The operation is modeled as the joint minimization of a shared objective which typically depends on observations ...
Shlezinger, Nir, Noah, Yoav
core  

Direct Cardiac T1 Mapping with Subspace Modeling and Free-breathing Data Acquisition. [PDF]

IEEE Trans Biomed Eng
Marin T, Han PK, Szezurek D, Zhuo Y, Mounime I, Djebra Y, Lee W, Fakhri GE, Ma C.   +8 more
europepmc   +1 more source

Reconstruction algorithm for photoacoustic tomography based on the L-alternating direction method of multipliers model. [PDF]

J Biomed Opt
Wang X, Ren X, Wang H.
europepmc   +1 more source

Linear Approximation to ADMM for MAP inference

, 2014
Maximum a posteriori (MAP) inference is one of the fundamental inference tasks in graphical models. MAP inference is in general NP-hard, making approximate methods of interest for many problems. One successful class of approximate inference algorithms is
Tu Bao Ho, Sholeh Forouzan, Alexander Ihler, Soon Ong   +3 more
core  

Federated Logistic Regression with Enhanced Privacy: A Dynamic Gaussian Perturbation Approach via ADMM from an Information-Theoretic Perspective. [PDF]

Entropy (Basel)
Yuan J, Wang Y, Ma H, Liu W.
europepmc   +1 more source

Spin-Flip TDDFT within the Sternheimer Formulation: A Gaussian and Plane Wave Implementation. [PDF]

J Phys Chem A
Hernandez-Segura LI, Luber S.
europepmc   +1 more source