… during line detection, we propose a combined line segment and arc detection algorithm (…
That is, if the smallest eigenvalue of the covariance matrix of the edge chain is less than a …

… Based on the eigenvector-based angle-estimation technique, we present a new robust
corner-detection method named Eigenvector-based … Moreover, from some empirical analysis, we …

… to the maximum eigenvalue of W + I. In numerical analysis, the eigenvector of a matrix’s
eigenvalue with maximum absolute value can be computed via the power method. The power …

… to a column-wise weighted robust principal component analysis (CWRPCA) problem. In
addition, a target unlikelihood coefficient is designed based on the steering kernel, serving as …

… In this paper, the eigenvalue analysis of the channel characteristics of lowvoltage power
lines is carried out, and the characteristics of impedance, signal attenuation and noise …

… detection method based on the maximum eigenvalue of the covariance matrix in detail. Firstly,
the principle and algorithm flow of the method … maximum eigenvalue algorithm based on …

… detection. To address these issues, a new multidefect detection method has been proposed
in this paper based … attention model and image partitioning-weighted eigenvalue (IP-WEV). …

… We also introduce an efficient, easy to implement approximation algorithm for the LLPD
based on a multiscale analysis of adjacency graphs, which allows for the runtime of LLPD …

… algorithms such as standard Hough transform, small eigenvalue analysis and principal
component analysis. … principal component analysis based line detection algorithm perform better …

… eigenvector corresponding to ϒ i eigenvalue. Selection of PCs is based on the relative order
of significance of eigenvalues… PC corresponding to a particular eigenvector is obtained as …