Results 41 to 50 of about 242,345 (338)
Identifying lung sound signal patterns is essential for detecting and monitoring respiratory diseases. Existing approaches for analyzing respiratory sounds need domain specialists.
Naseem Babu+2 more
doaj +1 more source
Second order accurate distributed eigenvector computation for extremely large matrices
We propose a second-order accurate method to estimate the eigenvectors of extremely large matrices thereby addressing a problem of relevance to statisticians working in the analysis of very large datasets.
d'Aspremont, Alexandre+1 more
core +2 more sources
Eigenvectors of Tensors—A Primer [PDF]
We give an introduction to the theory and to some applications of eigenvectors of tensors (in other words, invariant one-dimensional subspaces of homogeneous polynomial maps), including a review of some concepts that are useful for their discussion. The intent is to give practitioners an overview of fundamental notions, results and techniques.
openaire +3 more sources
Simple eigenvectors of unbounded operators of the type “normal plus compact” [PDF]
The paper deals with operators of the form \(A=S+B\), where \(B\) is a compact operator in a Hilbert space \(H\) and \(S\) is an unbounded normal one in \(H\), having a compact resolvent.
Michael Gil'
doaj +1 more source
Explicit Hermite-type eigenvectors of the discrete Fourier transform [PDF]
The search for a canonical set of eigenvectors of the discrete Fourier transform has been ongoing for more than three decades. The goal is to find an orthogonal basis of eigenvectors which would approximate Hermite functions -- the eigenfunctions of the ...
Kuznetsov, Alexey
core +1 more source
Investigation of the mutual synchronizatin system with delays, composed of n (n= 2p +1, p ∈ N) oscillators joined into a onedirectional ring, is carried out.
Gintarė Leonaitė, Jonas Rimas
doaj +1 more source
Recursive solutions for Laplacian spectra and eigenvectors of a class of growing treelike networks
The complete knowledge of Laplacian eigenvalues and eigenvectors of complex networks plays an outstanding role in understanding various dynamical processes running on them; however, determining analytically Laplacian eigenvalues and eigenvectors is a ...
B. Bollobás+8 more
core +1 more source
Tree decomposition by eigenvectors
25 ...
Torsten Sander, J. W. Sander
openaire +3 more sources
The purpose of this study to determine the effect of strengthening prerequisite knowledge on students' achievement via and seeing students' perspectives on improving prerequisite knowledge.
N. Siregar, Irma Novalinda
doaj +1 more source
High dimensional normality of noisy eigenvectors [PDF]
We study joint eigenvector distributions for large symmetric matrices in the presence of weak noise. Our main result asserts that every submatrix in the orthogonal matrix of eigenvectors converges to a multidimensional Gaussian distribution. The proof involves analyzing the stochastic eigenstate equation (SEE) which describes the Lie group valued flow ...
arxiv