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Poisson Surface Reconstruction
, 2006
"... We show that surface reconstruction from oriented points can be cast as a spatial Poisson problem. This Poisson formulation considers all the points at once, without resorting to heuristic spatial partitioning or blending, and is therefore highly resilient to data noise. Unlike radial basis function ..."
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Cited by 369 (5 self)
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function schemes, our Poisson approach allows a hierarchy of locally supported basis functions, and therefore the solution reduces to a well conditioned sparse linear system. We describe a spatially adaptive multiscale algorithm whose time and space complexities are proportional to the size
Actions as spacetime shapes
 IN ICCV
, 2005
"... Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as threedimensional shapes induced by the silhouettes in the spacetime volume. We adopt a recent approach [14] for analyzing 2D shapes and genera ..."
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Cited by 651 (4 self)
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Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as threedimensional shapes induced by the silhouettes in the spacetime volume. We adopt a recent approach [14] for analyzing 2D shapes
SelfAdaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery
"... The ability to learn from data and to improve its performance through incremental learning makes selfadaptive neural networks (SANNs) a powerful tool to support knowledge discovery. However, the development of SANNs has traditionally focused on data domains that are assumed to be modeled by a Gauss ..."
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Gaussian distribution. The analysis of data governed by other statistical models, such as the Poisson distribution, has received less attention from the data mining community. Based on special considerations of the statistical nature of data following a Poisson distribution, this paper introduces a SANN
A path integral approach to the Kontsevich quantization formula
, 1999
"... We give a quantum field theory interpretation of Kontsevich’s deformation quantization formula for Poisson manifolds. We show that it is given by the perturbative expansion of the path integral of a simple topological bosonic open string theory. Its Batalin–Vilkovisky quantization yields a supercon ..."
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Cited by 306 (21 self)
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We give a quantum field theory interpretation of Kontsevich’s deformation quantization formula for Poisson manifolds. We show that it is given by the perturbative expansion of the path integral of a simple topological bosonic open string theory. Its Batalin–Vilkovisky quantization yields a
Posterior Predictive Assessment of Model Fitness Via Realized Discrepancies
 Statistica Sinica
, 1996
"... Abstract: This paper considers Bayesian counterparts of the classical tests for goodness of fit and their use in judging the fit of a single Bayesian model to the observed data. We focus on posterior predictive assessment, in a framework that also includes conditioning on auxiliary statistics. The B ..."
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Cited by 348 (39 self)
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with three applied examples. The first example, which serves mainly to motivate the work, illustrates the difficulty of classical tests in assessing the fitness of a Poisson model to a positron emission tomography image that is constrained to be nonnegative. The second and third examples illustrate
Poisson
, 2014
"... In a recent article a generalization of the binomial distribution associated with a sequence of positive numbers was examined. The analysis of the nonnegativeness of the formal expressions was a keypoint to allow to give them a statistical interpretation in terms of probabilities. In this article w ..."
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we present an approach based on generating functions that solves the previous difficulties: the constraints of nonnegativeness are automatically fulfilled, a complete characterization in terms of generating functions is given and a large number of analytical examples becomes available.
Poisson Matting
 TO APPEAR IN THE ACM SIGGRAPH CONFERENCE PROCEEDINGS
"... In this paper, we formulate the problem of natural image matting as one of solving Poisson equations with the matte gradient field. Our approach, which we call Poisson matting, has the following advantages. First, the matte is directly reconstructed from a continuous matte gradient field by solvin ..."
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Cited by 115 (5 self)
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In this paper, we formulate the problem of natural image matting as one of solving Poisson equations with the matte gradient field. Our approach, which we call Poisson matting, has the following advantages. First, the matte is directly reconstructed from a continuous matte gradient field
Industrial Firms ’ Choices of Energy Efficiency Investments: A Mixed MultinomialPoisson Approach
, 2012
"... The industrial sector accounts for about a third of the energy usage in the United States. Given the potential of energy savings from the industrial sector, it is important to look at the factors influencing industrial firms ’ decision to adopt energy efficiency measures. The Industrial Assessment C ..."
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. This paper uses the IAC database, with 15,412 assessments and 115,710 recommendations, to empirically analyze industrial firms ’ choices of energy efficiency investments. We build an instrumental variable (IV) Poisson model and an IV probit model to analyze a firm’s decision of both how many and what
A finitevolume, incompressible Navier–Stokes model for studies of the ocean on parallel computers.
 J. Geophys. Res.,
, 1997
"... Abstract. The numerical implementation of an ocean model based on the incompressible Navier Stokes equations which is designed for studies of the ocean circulation on horizontal scales less than the depth of the ocean right up to global scale is described. A "pressure correction" method i ..."
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Cited by 293 (32 self)
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is used which is solved as a Poisson equation for the pressure field with Neumann boundary conditions in a geometry as complicated as that of the ocean basins. A major objective of the study is to make this inversion, and hence nonhydrostatic ocean modeling, efficient on parallel computers. The pressure
Mesh Editing with PoissonBased Gradient Field Manipulation
 ACM TRANS. GRAPH
, 2004
"... In this paper, we introduce a novel approach to mesh editing with the Poisson equation as the theoretical foundation. The most distinctive feature of this approach is that it modifies the original mesh geometry implicitly through gradient field manipulation. Our approach can produce desirable and pl ..."
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Cited by 175 (17 self)
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In this paper, we introduce a novel approach to mesh editing with the Poisson equation as the theoretical foundation. The most distinctive feature of this approach is that it modifies the original mesh geometry implicitly through gradient field manipulation. Our approach can produce desirable
Results 1  10
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