… a long-term concern for acoustic modeling and structural … to extract dispersion curves on
three plates under stochastic … application of AKSI in the k-space extraction of 2D structures …

… But as long as polylines represent curvilinear shapes, one cannot extract curvature for a …
Of course, those specifications would need to consider stochastic effects near the resolution …

… Finally, an innovative conditional random field approach is used … ] to find the least-cost
curvilinear path between two nodes of … can be defined as a set of contiguous pixels in a long and …

… are the curvilinear context for the aforementioned examples ( … solutions to extracting curvilinear
features from images ( … of the random labeling of the specimen as well as the stochastic …

… -D information fed to autoencoders using long-short-term … application of deep learning in
road extraction of CSAR images. The curvilinear structure detector (CSD) can extract curvilinear …

… build structural (graph) models of various curvilinear structures … Here the crucial step is the
precise extraction of thin lines from … field [31] techniques were widely used for a long time, their …

… We employ the auto-encoder to extract the feature vector of … The layup of curvilinear fibers
breaks through the traditional … is decided by two control parameters, a random number \( r \in [0,…

… noise, but it takes too long and affects efficiency.However, … , not conducive to universal
application. Yongshuai Zhang [7] … ], this paper adopts the stochastic gradient descent method (…

… extraction approach. The combination of these approaches is used in a vast number of
applications … elongated shapes in order to characterise the local manifestations of certain global …

… Curvilinear structures have long, thin and line-like features … Image patches acquired from
random locations were converted … The extracted features are fed to two parallel attention blocks…