geodesic distance
Automated segmentation of retinal layers from optical coherence tomography images using geodesic distance
... novel geodesic distance weighted by an exponential ...proposed geodesic distance method (GDM) is able to segment complex retinal structures with large curvatures and other irregularities ...
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An Image Denoising Method Based on Geodesic Distance
... on geodesic distance is ...The geodesic distance between the models represents the difference in the average grayscale intensity and in the abundance of details of the two image ...
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One-loop quantum gravitational corrections to the scalar two-point function at fixed geodesic distance
... first fully renormalised result of a correlation function at fixed geodesic distance in perturbative quantum gravity. It has some unusual features, which all ultimately stem from the additional UV ...
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Modified Kernel Functions by Geodesic Distance
... fied geodesic distance proposed in this paper with the SVM using unmodified geodesic ...unmodified geodesic distance means the geodesic distance implemented by ...modified ...
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Extension of ISOMAP for Imperfect Manifolds
... global geodesic distances between the data can be well approximated by the corre- sponding graph distances, ...the geodesic distance instead of the Euclidean distance, the linear CMDS can be ...
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An Improved Fast Watershed Algorithm based on finding the Shortest Paths with Breadth First Search
... Many images have regions where pixels have the same gray level. These plateaus of pixels pose a problem when they do not form regional minima [1-3]. Since there are no neighbour with lower gray level, computation of ...
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Bayesian sensitivity analysis with the Fisher–Rao metric
... the geodesic distances are available in closed form and can hence be computed quickly and ...the geodesic distance used in [46], which requires approximation via Dijkstra’s algorithm ...estimated ...
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Group Size and Network Formation
... Preferences. As in Jackson and Wolinsky [1996] individuals derive utility from direct as well as indirect connections. In contrast, individuals derive utility of 0 < δ < 1 from each of their connections whenever ...
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On preferred point geometry in statistics
... An important corollary of this result is that, whenever a manifold is not totally flat, minimising Kullback-Leibler divergence will not in general be equivalent to minimising the g d -geodesic distance. The ...
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Using geodesic space density gradients for network community detection
... its geodesic distances from all other ...the geodesic distance vectors is the geodesic space of that ...the geodesic space encode the network ...
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From random lines to metric spaces
... - geodesic connections between two specified points does not imply that almost surely all pairs of points are connected by unique -geodesics: a simple coun- terexample can be constructed by considering the ...
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RIGIDITY OF MAGNETIC AND GEODESIC FLOWS
... magnetic geodesic that passes through the region, after coming out at a different spot and following the corresponding orbit, goes back into the region and exits at the exit point and direction of the original ...
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On properties of geodesic semilocal E preinvex functions
... called geodesic semilocal E-preinvex functions, as a generalization of geodesic semilocal E-convex and geodesic semi E-preinvex functions, and some of its properties are ...are geodesic E- η ...
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Path Induced Geodesic Graphs
... Proof : If each neighour of 𝑥 is an extreme vertex of 𝐺, then the result follows from Theorem 1.2. If not there exists 𝑢, 𝑣 ∈ 𝑉 such that 𝑢 and 𝑣 are not adjacent. Let 𝑤 be a vertex of 𝐺 in 𝑢 − 𝑣 geodesic 𝑢, 𝑤, 𝑣 ...
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Effective geometry of curve graphs
... This chapter consists of two sections. In Section 5.1 we shall define multipath and multigeodesic, and what it means for a multipath to be tight. We introduce the notion of a filling multipath. This is similar, but not ...
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Random perturbation to the geodesic equation
... horizontal geodesic equation on the or- thonormal frame bundle corresponds a second-order differential equation on the manifold, which explains the unusual scaling in ...
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Geodesic dome structural analysis and design
... i Geodesic dome is one of the simplest forms of structure which has a very unique spherical or partial-spherical ...The geodesic dome has the capacity to achieve large span without any form of internal ...
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Subgridding Technique for the Geodesic FDTD Algorithm
... the geodesic FDTD algorithm, which is applied to solve ELF EM wave propagation problems in the Earth-ionosphere ...whole geodesic FDTD algorithm ...the geodesic FDTD ...
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Geodesic Monte Carlo on embedded manifolds
... The third is the geodesic Monte Carlo algorithm on the simplex. We can ensure that the planar constraint is satisfied via the affine constraint methods in 4.1; however, we need to further ensure that the ...
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Rate invariant analysis of covariance trajectories
... lating scaled-velocity vectors of trajectories to their start- ing points. The space of such representations forms a vector bundle on the SPDM manifold. Using a natural Riemannian metric on this vector bundle, we approx- ...
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