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Recurrent Marked Temporal Point Processes
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016Large volumes of event data are becoming increasingly available in a wide variety of applications, such as healthcare analytics, smart cities and social network analysis. The precise time interval or the exact distance between two events carries a great deal of information about the dynamics of the underlying systems.
Du, N. +5 more
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Object Identification by Marked Point Process
Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2006In this paper, we propose an algorithm for the identification of objects from a noisy and cluttered background in video sequences. Our algorithm is based on the marked point process (MPP) framework, which provides a useful tool for integrating object spatial information into the identification process. The maximum a posteriori (MAP) estimation of a set
null Gang Dong, S.T. Acton
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Journal of Applied Probability, 1977
Two examples for marked point processes are discussed and some characteristic parameters of these models are calculated. Both examples are in some way modifications of the counter models which are well known and treated in several textbooks.
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Two examples for marked point processes are discussed and some characteristic parameters of these models are calculated. Both examples are in some way modifications of the counter models which are well known and treated in several textbooks.
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Marked point process in image analysis
IEEE Signal Processing Magazine, 2002In this article, we consider the marked point process framework for image analysis. We first show that marked point processes are more adapted than Markov random fields (MRFs) including some geometrical constraints in the solution and dealing with strongly correlated noise. Then, we consider three applications in remote sensing: road network extraction,
X. Descombes, J. Zerubia
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Marked Point Processes in Forest Statistics
Forest Science, 1992Abstract Trees in a forest interact and therefore have to be considered as a system of dependent random variates from an unknown stochastic process. One such mathematical model which considers the spatial dependence among trees in a forest and their characteristics is a marked point process.
Penttinen, Antti +2 more
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On stochastie processes with an embedded marked point process
Series Statistics, 1982In the paper stochastic processes with an embedded marked point process (PMP) are investigated. The embedded points split the PMP up to so-called cycles. A great number of classes of stochastic processes, such as piecewise Markov, regenerative, semi-regenerative etc., can be understood as special PMP where the cycles form a Markov chain.
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Tomographic Reconstruction of 3D Objects Using Marked Point Process Framework
Journal of Mathematical Imaging and Vision, 2018Riadh Ben Salah +4 more
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