Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Matrix Size

This is a quantifying property of a matrix that gives the total number of indexing values in each of its directions. For example matrix size would be… Expand
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Effect of Matrix Size on the Image Quality of Ultra-high-resolution CT of the Lung: Comparison of 512 × 512, 1024 × 1024, and 2048 × 2048.
RATIONALE AND OBJECTIVES This study aimed to assess the effect of matrix size on the spatial resolution and image quality of… Expand
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
Highly Cited
2015
Highly Cited
2015
Robust and optimal multi-iterative techniques for IgA Galerkin linear systems
We consider fast solvers for the large linear systems coming from the Isogeometric Analysis (IgA) collocation approximation based… Expand
  • figure 1
  • table 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
Highly Cited
2014
Highly Cited
2014
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares
  • N. Wang, M. Er, Min Han
  • IEEE Transactions on Neural Networks and Learning…
  • 2014
    • Corpus ID: 1700660
Novel constructive and destructive parsimonious extreme learning machines (CP- and DP-ELM) are proposed in this paper. By virtue… Expand
  • figure 1
  • table I
  • table II
  • table III
  • table IV
Is this relevant?
Highly Cited
2013
Highly Cited
2013
The Optimal Hard Threshold for Singular Values is 4 / √ 3
We consider recovery of low-rank matrices from noisy data by hard thresholding of singular values, in which empirical singular… Expand
  • figure 1
  • table I
  • figure 2
  • table II
  • figure 3
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Fast Iterative Solution of Integral Equations With Method of Moments and Matrix Decomposition Algorithm – Singular Value Decomposition
The multilevel matrix decomposition algorithm (MLMDA) was originally developed by Michielsen and Boag for 2D TMz scattering… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance
We describe a study designed to assess properties of a P300 brain-computer interface (BCI). The BCI presents the user with a… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • figure 3
Is this relevant?
2005
2005
Speedup OS-EM Image Reconstruction by PC Graphics Card Technologies for Quantitative SPECT with Varying Focal-Length Fan-Beam Collimation.
In the paper, we present a new hardware acceleration method to speedup the ordered-subsets expectation-maximization (OS-EM… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2003
Highly Cited
2003
ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system
A brain-computer interface (BCI) system may allow a user to communicate by selecting one of many options. These options may be… Expand
  • figure 1
  • figure 2
  • table I
  • table II
  • table III
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Generalized Kontsevich model versus Toda hierarchy and discrete matrix models
Abstract We present the partition function of the Generalized Kontsevich Model (GKM) in the form of a Toda lattice τ-function and… Expand
Is this relevant?
Highly Cited
1976
Highly Cited
1976
Picture quality of computed tomography.
  • G. Hounsfield
  • AJR. American journal of roentgenology
  • 1976
    • Corpus ID: 46406542
Some limitations that impair the picture quality of computed tomography are presented. Picture grain is analyzed in detail and… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE