Results 181 to 190 of about 151,464 (237)

Advancements in radiation dose reduction for pediatric CT head Imaging: A scoping review of emerging Technologies, Protocols, and optimization strategies. [PDF]

Tech Innov Patient Support Radiat Oncol
Patil NB, Priyanka, S PP, Kadavigere R, Pendem S.   +4 more
europepmc   +1 more source

Compton Camera X-Ray Fluorescence Imaging Design and Image Reconstruction Algorithm Optimization. [PDF]

J Imaging
Lu S, Peng K, Feng P, Lin C, Geng Q, Zhang J.   +5 more
europepmc   +1 more source

Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs. [PDF]

Sci Rep
Zhao Y, Wang B.
europepmc   +1 more source

Super-Resolution Reconstruction and Detector Geometric Error Correction for Parallel-Beam Low-Resolution Multi-Detector SPECT: A Proof of Concept. [PDF]

Tomography
Cheng Z, Zhang J, Chen P, Wen J.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Characteristics of iterative projection algorithms

SPIE Proceedings, 2012
A brief description of various iterative projection algorithms and the relationships between them is given, along with some possible reasons for their ability to solve non-convex problems. An empirical model of their behaviour when applied to non-convex problems is also described.
Victor Lo, Rick P. Millane
openaire   +1 more source

Projections for Approximate Policy Iteration Algorithms [PDF]

, 2019
Approximate policy iteration is a class of reinforcement learning (RL) algorithms where the policy is encoded using a function approximator and which has been especially prominent in RL with continuous action spaces. In this class of RL algorithms, ensuring increase of the policy return during policy update often requires to constrain the change in ...
Akrour, R., Pajarinen, J., Neumann, Gerhard, Peters, J.   +3 more
openaire   +2 more sources

Iterative projection algorithms in protein crystallography. II. Application

Acta Crystallographica Section A Foundations and Advances, 2015
Iterative projection algorithms (IPAs) are a promising tool for protein crystallographic phase determination. Although related to traditional density-modification algorithms, IPAs have better convergence properties, and, as a result, can effectively overcome the phase problem given modest levels of structural redundancy. This is illustrated by applying
Lo, Victor L., Kingston, Richard L., Millane, Rick P.   +2 more
openaire   +2 more sources

Iterative Projection Approximation Algorithms for PCA

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
In this paper we introduce a new error measure, integrated reconstruction error (IRE), the minimization of which leads to principal eigenvectors (without rotational ambiguity) of the data covariance matrix. Then we present iterative algorithms for the IRE minimization, through the projection approximation.
null Seungjin Choi, null Jong-Hoon Ahn, A. Cichocki   +2 more
openaire   +1 more source

Iterative projection algorithms in protein crystallography. I. Theory

Acta Crystallographica Section A Foundations of Crystallography, 2013
A general class of iterative projection algorithms is described and proposed as a tool for phasing in protein crystallography in order to improve the radius of convergence over that of conventional density-modification algorithms. Their relationship to conventional density modification is described.
Rick P. Millane, Victor L. Lo
openaire   +1 more source