Results 21 to 30 of about 2,046,379 (297)
Analysing changes in spatial point patterns: A proposal using data from a forest thinning experiment
Forest Ecosystems, 2022 Spatial patterns reveal critical features at the individual and community levels. However, how to evaluate changes in spatial characteristics remains largely unexplored.
Christian Salas-Eljatib +4 more
doaj +1 more source
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020 Retinal vessel extraction and segmentation is essential for supporting diagnosis of eye-related diseases. In recent years, deep learning has been applied to vessel segmentation and achieved excellent performance. However, these supervised methods require
Tianyu Li, M. Comer, J. Zerubia
semanticscholar +1 more source
bioRxiv, 2020 Marked-point process models have recently been used to capture the coding properties of neural populations from multi-unit electrophysiological recordings without spike sorting.
A. Yousefi +3 more
semanticscholar +1 more source
Mathematics, 2023 We study a reliability system subject to occasional random shocks of random magnitudes W0,W1,W2,… occurring at times τ0,τ1,τ2,…. Any such shock is harmless or critical dependent on Wk≤H or Wk>H, given a fixed threshold H.
Jewgeni H. Dshalalow, Hend Aljahani
doaj +1 more source
Research on Financial Default Model with Stochastic Intensity Using Filtered Likelihood Method
Mathematics, 2023 This paper investigates the financial default model with stochastic intensity by incomplete data. On the strength of the process-designated point process, the likelihood function of the model in the parameter estimation can be decomposed into the factor ...
Xiangdong Liu, Jiahui Wu, Xianglong Li
doaj +1 more source
Analysing interaction effects in forests using the mark correlation function
iForest - Biogeosciences and Forestry, 2008 The spatial distribution of trees in forests can be described and modelled by point processes where the points are given by the locations (coordinates) of the trees.
Wälder K, Wälder O
doaj +1 more source
SINGLE TREE DETECTION FROM AIRBORNE LASER SCANNING DATA USING A MARKED POINT PROCESS BASED METHOD [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Tree detection and reconstruction is of great interest in large-scale city modelling. In this paper, we present a marked point process model to detect single trees from airborne laser scanning (ALS) data.
J. Zhang, G. Sohn, M. Brédif
doaj +1 more source
First Passage Analysis in a Queue with State Dependent Vacations
Axioms, 2022 This paper deals with a single-server queue where the server goes on maintenance when the queue is exhausted. Initially, the maintenance time is fixed by deterministic or random number T.
Jewgeni H. Dshalalow, Ryan T. White
doaj +1 more source
Neural Spectral Marked Point Processes
, 2021 Self- and mutually-exciting point processes are popular models in machine learning and statistics for dependent discrete event data. To date, most existing models assume stationary kernels (including the classical Hawkes processes) and simple parametric models.
Shixiang Zhu +4 more
openaire +3 more sources
Perfect simulation for marked point processes [PDF]
Computational Statistics & Data Analysis, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van Lieshout, M. N. M. +1 more
openaire +6 more sources