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… (More)
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares
Novel constructive and destructive parsimonious extreme learning machines (CP- and DP-ELM) are proposed in this paper. By virtue… (More)
  • 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… (More)
  • figure 1
  • table I
  • figure 2
  • table II
  • figure 3
Is this relevant?
2013
2013
How long does it take to compute the eigenvalues of a random symmetric matrix ? ∗
We present the results of an empirical study of the performance of the QR algorithm (with and without shifts) and the Toda… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2
Is this relevant?
2013
2013
Applied Minimized Matrix Size Algorithm on the Transformed Images by DCT and DWT used for Image Compression
In this paper a simple image compression scheme is proposed, it is based on using two transformation techniques in the frequency… (More)
  • figure 3
  • figure 6
  • figure 8
  • figure 9
  • figure 10
Is this relevant?
2009
2009
Effect of Voxel Size and Computation Method on Tc-99m MAA SPECT/CT-Based Dose Estimation for Y-90 Microsphere Therapy
The use of selective internal radiation therapy for treatment of hepatocellular carcinoma and liver metastases using Y-90 labeled… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2008
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… (More)
  • 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… (More)
  • figure 1
  • figure 2
  • table 1
  • table 2
  • figure 3
Is this relevant?
2006
2006
A Spectral Domain Integral Equation Method Utilizing Analytically Derived Characteristic Basis Functions for the Scattering From Large Faceted Objects
A novel technique, based on a spectral domain integral equation method with analytically derived characteristic basis functions… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table I
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… (More)
  • figure 1
  • figure 2
  • table I
  • table II
  • table III
Is this relevant?
1992
1992
Generalized Kontsevich Model versus Toda Hierarchy and Discrete Matrix Models
We represent the partition function of the Generalized Kontsevich Model (GKM) in the form of a Toda lattice τ-function and… (More)
Is this relevant?