Results 231 to 240 of about 179,319 (288)

Performance of a Deep Learning Reconstruction Method on Clinical Chest-Abdomen-Pelvis Scans from a Dual-Layer Detector CT System. [PDF]

Tomography
Schuppert C, Rahn S, Schnellbächer ND, Bergner F, Grass M, Kauczor HU, Skornitzke S, Weber TF, Do TD.   +8 more
europepmc   +1 more source

M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. [PDF]

Front Big Data
Ning K, Lü Q, Liao X.
europepmc   +1 more source

High-speed blind structured illumination microscopy via unsupervised algorithm unrolling. [PDF]

Nat Commun
Burns Z, Zhao J, Sahan AZ, Zhang J, Liu Z.   +4 more
europepmc   +1 more source

The key technologies of a computer-aided design system for removable partial denture frameworks. [PDF]

PLoS One
Ma G, Jiang X, Dai N, Wu Z, Ying S, Tian Z.   +5 more
europepmc   +1 more source

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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
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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