Results 131 to 140 of about 22,384 (303)
The SIR Model in a Moving Population: Propagation of Infection and Herd Immunity
ABSTRACT In a collection of particles performing independent random walks on Zd$\mathbb {Z}^d$ we study the spread of an infection with SIR dynamics. Susceptible particles become infected when they meet an infected particle. Infected particles heal and are removed at rate ν$\nu$.
Duncan Dauvergne, Allan Sly
wiley +1 more source
Markov random fields and Markov chains on trees [PDF]
We consider probability measures on a space S(^A) (where S and A are countable and the σ-field is the natural one) which are Markov random fields with respect to a given neighbour relation ~ on A.
Zachary, Stan, Zachary, S
core
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Field dynamics of visual perception as framed in Markov random fields of computer vision
This is a short tutorial on the concept of the Markov random field (MRF) as applied in computer vision and its relationships with salient terms in the psychology of visual perception, especially connected with Gestalt theory.
Burigana Luigi
doaj +1 more source
ABSTRACT Warm dense matter (WDM) is now routinely created and probed in laboratories around the world, providing unprecedented insights into conditions achieved in stellar atmospheres, planetary interiors, and inertial confinement fusion experiments.
M. P. Böhme +15 more
wiley +1 more source
Synthetic aperture radar image segmentation with quantum annealing
In image processing, image segmentation is the process of partitioning a digital image into multiple image segments. Among state‐of‐the‐art methods, Markov random fields can be used to model dependencies between pixels and achieve a segmentation by ...
Timothé Presles +3 more
doaj +1 more source
Non‐native species introductions profoundly alter freshwater communities, yet the mechanisms by which non‐native fishes affect native community stability remain unclear. Using a multi‐decadal dataset on fish community composition and abundance collected across France, we quantified native community stability and decomposed this metric into its main ...
Chengzong Tian +5 more
wiley +1 more source
A Novel Map Matching Method Based on Improved Hidden Markov and Conditional Random Fields Model
Aiming at the inherent “labeling bias” problem of Hidden Markov Models (HMMs) in the process of low-frequency sampling rate GPS trajectory map matching, this paper proposes a map matching method that combines HMMs and Conditional Random Field Models ...
Wei Li +4 more
doaj +1 more source
The existence and characterisation of duality of Markov processes in the Euclidean space [PDF]
This thesis examines the existence of dualMarkov processes and presents the full characterization of Markov processes in Euclidean space equipped with the natural order (the Pareto order).
Lee, Rui Xin
core
Limiting behaviour of random spatial graphs and asymptotically homogeneous RWRE [PDF]
We consider several random spatial graphs of the nearest-neighbour type, including the k- nearest neighbours graph, the on-line nearest-neighbour graph, and the minimal directed spanning tree.
Wade, Andrew R +2 more
core

