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Parametric Poisson process imaging
 in Proc. IEEE Global Conf. Signal Inform. Process
, 2013
"... Abstract—In conventional 3D imaging, a large number of detected photons is required at each pixel to mitigate the effect of signaldependent Poisson or shot noise. Parametric Poisson process imaging (PPPI) is a new framework that enables scene depth acquisition with very few detected photons despite ..."
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Cited by 5 (4 self)
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Abstract—In conventional 3D imaging, a large number of detected photons is required at each pixel to mitigate the effect of signaldependent Poisson or shot noise. Parametric Poisson process imaging (PPPI) is a new framework that enables scene depth acquisition with very few detected photons
On the Integral of Fractional Poisson Processes
"... Abstract. In this paper we consider the RiemannLiouville fractional integral process a fractional Poisson process of order ν ∈ (0, 1], and α > 0. We give the explicit bivariate distribution Pr{N ν (s) = k, N ν (t) = r}, for t ≥ s, r ≥ k, the mean E N α,ν (t) and the variance Var N α,ν (t). We s ..."
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Abstract. In this paper we consider the RiemannLiouville fractional integral process a fractional Poisson process of order ν ∈ (0, 1], and α > 0. We give the explicit bivariate distribution Pr{N ν (s) = k, N ν (t) = r}, for t ≥ s, r ≥ k, the mean E N α,ν (t) and the variance Var N α,ν (t). We
Anisotropic Poisson processes of cylinders
 Methodology and Computing in Applied Probability
, 2010
"... Main characteristics of stationary anisotropic Poisson processes of cylinders (dilated kdimensional flats) in ddimensional Euclidean space are studied. Explicit formulae for the capacity functional, the covariance function, the contact distribution function, the volume fraction, and the intensit ..."
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Cited by 1 (0 self)
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Main characteristics of stationary anisotropic Poisson processes of cylinders (dilated kdimensional flats) in ddimensional Euclidean space are studied. Explicit formulae for the capacity functional, the covariance function, the contact distribution function, the volume fraction
Throttling Poisson Processes
"... We study a setting in which Poisson processes generate sequences of decisionmaking events. The optimization goal is allowed to depend on the rate of decision outcomes; the rate may depend on a potentially long backlog of events and decisions. We model the problem as a Poisson process with a throttli ..."
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We study a setting in which Poisson processes generate sequences of decisionmaking events. The optimization goal is allowed to depend on the rate of decision outcomes; the rate may depend on a potentially long backlog of events and decisions. We model the problem as a Poisson process with a
Nonhomogeneous Poisson process
"... Point processes Poisson process. In this paper we first study on main concepts of one and two dimensional point processes. Then, we bring the simulation procedures of these processes based on efficient Monte Carlo methods. Finally, we study the Poisson point process and in its particular case and on ..."
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Point processes Poisson process. In this paper we first study on main concepts of one and two dimensional point processes. Then, we bring the simulation procedures of these processes based on efficient Monte Carlo methods. Finally, we study the Poisson point process and in its particular case
FOR KILLED POISSON PROCESSES
, 1983
"... We consider iid homogeneous Poisson processes that are each stopped at some random time L i, independent of the history of the process. We observe at a fixed time to whether or not the process has been stopped, the number of events in (O,t O) and the time of the last event. We want to predict the te ..."
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We consider iid homogeneous Poisson processes that are each stopped at some random time L i, independent of the history of the process. We observe at a fixed time to whether or not the process has been stopped, the number of events in (O,t O) and the time of the last event. We want to predict
Layering of the Poisson process . . .
, 2000
"... We consider the increasing sequence of nonintersecting monotone decreasing RCLL step processes Y ∗n (t), n = 1, 2,... (t> 0) whose jump points cover all the points of the homogeneous rate 1 Poisson process on the quadrant R2+. We derive properties of these processes, in particular the marginal d ..."
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We consider the increasing sequence of nonintersecting monotone decreasing RCLL step processes Y ∗n (t), n = 1, 2,... (t> 0) whose jump points cover all the points of the homogeneous rate 1 Poisson process on the quadrant R2+. We derive properties of these processes, in particular the marginal
Model selection for Poisson processes
, 2007
"... Our purpose in this paper is to apply the general methodology for model selection based on Testimators developed in Birgé [Ann. Inst. H. Poincaré Probab. Statist. 42 (2006) 273–325] to the particular situation of the estimation of the unknown mean measure of a Poisson process. We introduce a Helli ..."
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Cited by 7 (1 self)
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Our purpose in this paper is to apply the general methodology for model selection based on Testimators developed in Birgé [Ann. Inst. H. Poincaré Probab. Statist. 42 (2006) 273–325] to the particular situation of the estimation of the unknown mean measure of a Poisson process. We introduce a
WideArea Traffic: The Failure of Poisson Modeling
 IEEE/ACM TRANSACTIONS ON NETWORKING
, 1995
"... Network arrivals are often modeled as Poisson processes for analytic simplicity, even though a number of traffic studies have shown that packet interarrivals are not exponentially distributed. We evaluate 24 widearea traces, investigating a number of widearea TCP arrival processes (session and con ..."
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Cited by 1775 (24 self)
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Network arrivals are often modeled as Poisson processes for analytic simplicity, even though a number of traffic studies have shown that packet interarrivals are not exponentially distributed. We evaluate 24 widearea traces, investigating a number of widearea TCP arrival processes (session
Latent Poisson Process Allocation
"... Abstract We introduce a probabilistic model for the factorisation of continuous Poisson process rate functions. Our model can be thought of as a topic model for Poisson point processes in which each point is assigned to one of a set of latent rate functions that are shared across multiple outputs. ..."
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Abstract We introduce a probabilistic model for the factorisation of continuous Poisson process rate functions. Our model can be thought of as a topic model for Poisson point processes in which each point is assigned to one of a set of latent rate functions that are shared across multiple outputs
Results 11  20
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5,225