NewEvery arXiv paper, its researchers & institutions — mapped.
the archive

#random walk

6 results
eess.IV2019

Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms

Niclas Bockelmann, Diana Krüger, D. C. Florian Wieland +9

The paper introduces a random-walk based method to generate sparse annotations for training a U‑Net to segment biodegradable bone implants in synchrotron microtomography, achieving…

#bone implant segmentation#synchrotron microtomography#sparse annotations#random walk
math.PR2019

On the quenched functional CLT in 2d random sceneries, examples

Guy Cohen, Jean-Pierre Conze

The paper proves a quenched functional central limit theorem for sums of a random field along a two‑dimensional random walk, covering iid random sceneries, fields generated by comm…

#random walk#random scenery#quenched functional CLT#torus automorphisms
math.PR2019

Local Central Limit Theorem for a Random Walk Perturbed in One Point

Giuseppe Genovese, Renato LucÃ

The paper studies a symmetric random walk on a ν‑dimensional lattice with an antisymmetric perturbation at the origin and proves a local central limit theorem, revealing short‑rang…

#random walk#local central limit theorem#perturbation#diffusion
math.PR2019

Random walk on comb-type subsets of Z^2

Endre Csaki, Antonia Foldes

The paper analyzes the behavior of a simple symmetric random walk on modified two‑dimensional integer lattices (comb‑type subsets of \(\mathbb{Z}^2\)) where selected horizontal edg…

#random walk#comb graph#lattice models#strong approximation
cs.SI2019

Cross-domain Network Representations

Shan Xue, Jie Lu, Guangquan Zhang

The paper introduces CDNR, a method that learns node embeddings for networks lacking structural information by transferring random-walk based knowledge from a richly connected sour…

#network representation learning#cross-domain transfer#random walk#graph embedding
math.PR2019

Slower variation of the generation sizes induced by heavy-tailed environment for geometric branching

Ayan Bhattacharya, Zbigniew Palmowski

The paper studies a branching process with geometric offspring where the success probability is random and heavy‑tailed, showing that the population size acquires increasingly heav…

#branching processes#random environment#heavy-tailed distributions#asymptotic tail behavior