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A Marked Point Process Framework for Extracellular Electrical Potentials [PDF]

open access: yesFrontiers in Systems Neuroscience, 2017
Neuromodulations are an important component of extracellular electrical potentials (EEP), such as the Electroencephalogram (EEG), Electrocorticogram (ECoG) and Local Field Potentials (LFP).
Carlos A. Loza   +2 more
doaj   +3 more sources

Design as a Marked Point Process [PDF]

open access: yesJournal of Mechanical Design, 2021
Abstract Although artificial intelligence (AI) systems which support composition using predictive text are well established, there are no analogous technologies for mechanical design. Motivated by the vision of a predictive system that learns from previous designs and can interactively provide a list of established feature alternatives ...
Quigley, John   +4 more
openaire   +5 more sources

Marked point process variational autoencoder with applications to unsorted spiking activities. [PDF]

open access: yesPLoS Computational Biology
Spike train modeling across large neural populations is a powerful tool for understanding how neurons code information in a coordinated manner. Recent studies have employed marked point processes in neural population modeling. The marked point process is
Ryohei Shibue, Tomoharu Iwata
doaj   +3 more sources

Rescaling Marked Point Processes [PDF]

open access: yesAustralian <html_ent glyph="@amp;" ascii="&amp;"/> New Zealand Journal of Statistics, 2004
From the authors' abstract: \textit{P.-A. Meyer} [in: Sém. Bourbaki 1968/69, No. 361, 245--259 (1971; Zbl 0273.60053)] showed how to use the compensator to rescale a multivariate point process, forming independent Poisson processes with intensity 1. Meyer's result has been generalized to multidimensional point processes.
David Vere-Jones   +1 more
core   +6 more sources

FACADE INTERPRETATION USING A MARKED POINT PROCESS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Our objective is the interpretation of facade images in a top-down manner, using a Markov marked point process formulated as a Gibbs process. Given single rectified facade images, we aim at the accurate detection of relevant facade objects as windows and
S. Wenzel, W. Förstner
doaj   +2 more sources

A MARKED POINT PROCESS MODEL FOR VEHICLE DETECTION IN AERIAL LIDAR POINT CLOUDS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
In this paper we present an automated method for vehicle detection in LiDAR point clouds of crowded urban areas collected from an aerial platform.
A. Börcs, C. Benedek
doaj   +2 more sources

Random Walk Analysis in a Reliability System under Constant Degradation and Random Shocks

open access: yesAxioms, 2021
In this paper, we study a reliability system subject to occasional random shocks hitting an underlying device in accordance with a general marked point process with position dependent marking.
Jewgeni H. Dshalalow, Ryan T. White
doaj   +1 more source

A limit theorem for persistence diagrams of random filtered complexes built over marked point processes

open access: yesModern Stochastics: Theory and Applications, 2022
Random filtered complexes built over marked point processes on Euclidean spaces are considered. Examples of these filtered complexes include a filtration of $\check{\text{C}}$ech complexes of a family of sets with various sizes, growths, and shapes.
Tomoyuki Shirai, Kiyotaka Suzaki
doaj   +1 more source

Automatic Road Extraction from Remote Sensing Images Based on Rectangle Marked Point Process

open access: yesCanadian Journal of Remote Sensing, 2021
Aiming at solving inaccurate and incomplete extraction of road in remote sensing images, this paper proposes an automatic extraction algorithm based on Rectangle Marked Point Process (RMPP).
You Wu, Quanhua Zhao, Yu Li, Yiding Wang
doaj   +1 more source

Balancing structural complexity with ecological insight in Spatio‐temporal species distribution models

open access: yesMethods in Ecology and Evolution, 2023
The potential for statistical complexity in species distribution models (SDMs) has greatly increased with advances in computational power. Structurally complex models provide the flexibility to analyse intricate ecological systems and realistically messy
Megan R. Laxton   +3 more
doaj   +1 more source

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