Design as a Marked Point Process [PDF]
Journal 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
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FACADE INTERPRETATION USING A MARKED POINT PROCESS [PDF]
ISPRS 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 Filtering Approach for Tracking Sympathetic Arousal From Skin Conductance
IEEE Access, 2020 Human emotion represents a complex neural process within the brain. The ability to automatically recognize emotions from physiological signals has the potential to impact humanity in multiple ways through applications in human-machine interaction, remote
Dilranjan S. Wickramasuriya +1 more
doaj +2 more sources
Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control [PDF]
, 2016 We address a class of backward stochastic differential equations on a bounded interval, where the driving noise is a marked, or multivariate, point process.
Confortola, Fulvia +2 more
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An Embedded Marked Point Process Framework for Three-Level Object Population Analysis [PDF]
IEEE Transactions on Image Processing, 2017 In this paper we introduce a probabilistic approach for extracting complex hierarchical object structures from digital images used by various vision applications.
Benedek, Csaba
core +2 more sources
Moving Target Analysis in ISAR Image Sequences with a Multiframe Marked Point Process Model [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2014 In this paper we propose a Multiframe Marked Point Process model of line segments and point groups for automatic target structure extraction and tracking in Inverse Synthetic Aperture Radar (ISAR) image sequences.
Benedek, Csaba, Martorella, M
core +2 more sources
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models [PDF]
Spatial Statistics, 2021 We present a general statistical methodology for analysing a Laguerre tessellation data set viewed as a realization of a marked point process model. In the first step, for the points we use a nested sequence of multiscale processes which constitute a ...
F. Seitl, Jesper Møller, V. Beneš
semanticscholar +1 more source
Rescaling Marked Point Processes [PDF]
Australian <html_ent glyph="@amp;" ascii="&"/> 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
openaire +4 more sources
Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. [PDF]
Neural Comput, 2015 Deng X +4 more
europepmc +2 more sources
Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysis [PDF]
arXiv.org, 2023 With recently available football match event data that record the details of football matches, analysts and researchers have a great opportunity to develop new performance metrics, gain insight, and evaluate key performance.
Calvin C. K. Yeung +2 more
semanticscholar +1 more source