Results 11 to 20 of about 451 (213)
ISPRS Open Journal of Photogrammetry and Remote Sensing, 2022 Even more than 75 years after the Second World War, numerous unexploded bombs (duds) linger in the ground and pose a considerable hazard to society. The areas containing these duds are documented in so-called impact maps, which are based on locations of ...
Christian Kruse +3 more
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COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Automatic building extraction from remotely sensed images is a research topic much more significant than ever. One of the key issues is object and image representation.
D. Chai, W. Förstner, M. Ying Yang
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GENERATING IMPACT MAPS FROM AUTOMATICALLY DETECTED BOMB CRATERS IN AERIAL WARTIME IMAGES USING MARKED POINT PROCESSES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The aftermath of wartime attacks is often felt long after the war ended, as numerous unexploded bombs may still exist in the ground. Typically, such areas are documented in so-called impact maps which are based on the detection of bomb craters.
C. Kruse +5 more
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Deconvolution of calcium imaging data using marked point processes.
PLoS Computational Biology, 2020 Calcium imaging has been widely used for measuring spiking activities of neurons. When using calcium imaging, we need to extract summarized information from the raw movie beforehand.
Ryohei Shibue, Fumiyasu Komaki
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LIBRJMCMC: AN OPEN-SOURCE GENERIC C++ LIBRARY FOR STOCHASTIC OPTIMIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The librjmcmc is an open source C++ library that solves optimization problems using a stochastic framework. The library is primarily intended for but not limited to research purposes in computer vision, photogrammetry and remote sensing, as it
M. Brédif, O. Tournaire, O. Tournaire
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Behavioural Expertise: Drift, Thrift and Shift under COVID-19
International Review of Public Policy, 2022 Many government responses to the coronavirus-pandemic have been marked by attempts at expertization and scientization. Particularly, politico-epistemological authority is being given to the behavioural science community consulting government.
Joram Feitsma, Mark Whitehead
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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
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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
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Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Point Processes
Journal of the American Statistical Association, 2022 Mark-point dependence plays a critical role in research problems that can be fitted into the general framework of marked point processes. In this work, we focus on adjusting for mark-point dependence when estimating the mean and covariance functions of the mark process, given independent replicates of the marked point process.
Ganggang Xu +3 more
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A copula model for marked point processes [PDF]
Lifetime Data Analysis, 2013 Many chronic diseases feature recurring clinically important events. In addition, however, there often exists a random variable which is realized upon the occurrence of each event reflecting the severity of the event, a cost associated with it, or possibly a short term response indicating the effect of a therapeutic intervention.
Diao, Liqun +2 more
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