Results 11 to 20 of about 87,335 (264)
Finite-Time Set Reachability of Probabilistic Boolean Multiplex Control Networks
Applied Sciences, 2022 This study focuses on the finite-time set reachability of probabilistic Boolean multiplex control networks (PBMCNs). Firstly, based on the state transfer graph (STG) reconstruction technique, the PBMCNs are extended to random logic dynamical systems ...
Yuxin Cui +3 more
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Mathematics, 2021 This paper deals with the search for reliable efficient finite difference methods for the numerical solution of random heterogeneous diffusion reaction models with a finite degree of randomness.
María Consuelo Casabán +2 more
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Jointly-Optimized Searching and Tracking with Random Finite Sets [PDF]
IEEE Transactions on Mobile Computing, 2020 In this paper, we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents. The targets appear and disappear at random times inside a surveillance region and their positions are random and unknown. The agents have limited sensing range and receive noisy measurements from the targets.
Papaioannou, Savvas +9 more
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Bernoulli Filters for Multiple Correlated Sensors
IEEE Access, 2021 The Bernoulli filter is a general, Bayes-optimal solution for tracking a single disappearing and reappearing target, using a single sensor whose observations are corrupted by missed detections and a general, known clutter process.
Ronald Mahler
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Exact Closed-Form Multitarget Bayes Filters
Sensors, 2019 The finite-set statistics (FISST) foundational approach to multitarget tracking and information fusion has inspired work by dozens of research groups in at least 20 nations; and FISST publications have been cited tens of thousands of times.
Ronald Mahler
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“Statistics 103” for Multitarget Tracking
Sensors, 2019 The finite-set statistics (FISST) foundational approach to multitarget tracking and information fusion was introduced in the mid-1990s and extended in 2001.
Ronald Mahler
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IEEE Access, 2020 The key challenge for multiple vessel cooperative localization is considered as data association, in which state-of-the-art approaches adopt a divide-and-conquer strategy to acquire measurement-to-target association.
Feihu Zhang +3 more
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Bayesian Filtering With Random Finite Set Observations [PDF]
IEEE Transactions on Signal Processing, 2008 This paper presents a novel and mathematically rigorous Bayes' recursion for tracking a target that generates multiple measurements with state dependent sensor field of view and clutter. Our Bayesian formulation is mathematically well-founded due to our use of a consistent likelihood function derived from random finite set theory.
Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni
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A Note on Branching Random Walks on Finite Sets [PDF]
Journal of Applied Probability, 2005 We show that a branching random walk that is supercritical onis also supercritical, in a rather strong sense, when restricted to a large enough finite ball ofThis implies that the critical value of branching random walks on finite balls converges to the critical value of branching random walks onas the radius increases to infinity. Our main result also
Mountford, Thomas, Schinazi, Rinaldo B.
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Random walks on generating sets for finite groups [PDF]
The Electronic Journal of Combinatorics, 1996 We analyze a certain random walk on the cartesian product $G^n$ of a finite group $G$ which is often used for generating random elements from $G$. In particular, we show that the mixing time of the walk is at most $c_r n^2 \log n$ where the constant $c_r$ depends only on the order $r$ of $G$.
Fan R. K. Chung, Ronald L. Graham
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