Results 1 - 10
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105
Beyond Wiener-Askey expansions: handling arbitrary PDFs
- J. Sci. Comput
, 2006
"... In this paper we present a Multi-Element generalized Polynomial Chaos (ME-gPC) method to deal with stochastic inputs with arbitrary probability measures. Based on the decomposition of the random space of the stochastic inputs, we construct numerically a set of orthogonal polynomials with respect to ..."
Abstract
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Cited by 26 (1 self)
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to a con-ditional probability density function (PDF) in each element and subsequently implement generalized Polynomial Chaos (gPC) locally. Numerical examples show that ME-gPC exhibits both p- and h-convergence for arbitrary probabil-ity measures. KEY WORDS: Uncertainty; polynomial chaos; stochastic
Learning Object Motion Patterns for Anomaly Detection and Improved Object Detection
"... We present a novel framework for learning patterns of motion and sizes of objects in static camera surveillance. The proposed method provides a new higher-level layer to the traditional surveillance pipeline for anomalous event detection and scene model feedback. Pixel level probability density func ..."
Abstract
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Cited by 35 (2 self)
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of this scene model to improve object detection through pixel-level parameter feedback of the minimum object size and background learning rate. Most object path modelling approaches first cluster the tracks into major paths in the scene, which can be a source of error. We avoid this by building local pdfs
Local structure of nanoporous carbons
- Phil. Mag. B 1999
"... Abstract The local atomic structure of nanoporous carbons produced by pyrolysis of poly(furfuryl alcohol) at various temperatures has been studied using neutron di raction. Atomic pair distribution functions (PDFs) were obtained from the neutron data. Structure models have been ® tted to the PDFs t ..."
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Cited by 3 (0 self)
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Abstract The local atomic structure of nanoporous carbons produced by pyrolysis of poly(furfuryl alcohol) at various temperatures has been studied using neutron di raction. Atomic pair distribution functions (PDFs) were obtained from the neutron data. Structure models have been ® tted to the PDFs
Improved Local Discriminant Bases Using Empirical Probability Density Estimation
, 1996
"... this paper we propose a new LDB algorithm based on the differences among coordinate-wise pdfs as a basis selection criterion and we explain similarities and differences among the original LDB algorithm and the new LDB algorithm. 2. STEPS TOWARD THE ORIGINAL LDB ..."
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Cited by 12 (0 self)
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this paper we propose a new LDB algorithm based on the differences among coordinate-wise pdfs as a basis selection criterion and we explain similarities and differences among the original LDB algorithm and the new LDB algorithm. 2. STEPS TOWARD THE ORIGINAL LDB
An iterative Kalman smoother for robust 3D localization and mapping, http://www-users.cs.umn.edu/˜dkottas/pdfs/iks slam 2014 tr.pdf,” tech
, 2015
"... and mapping ..."
Learning spatiotemporal graphs of human activities
- In ICCV
, 2011
"... Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total number, and temporal relations (e.g., allow only followed-by), and then only estimates their relative significance for act ..."
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Cited by 64 (0 self)
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to multiscale video segments, and edges capture their hierarchical, temporal, and spatial relationships. Access to video segments is provided by our new, multiscale segmenter. Given a set of training spatiotemporal graphs, we learn their archetype graph, and pdf’s associated with model nodes and edges
Unsupervised Riemannian clustering of probability density functions
- In ECML PKKD
, 2008
"... Abstract. We present an algorithm for grouping families of probability density functions (pdfs). We exploit the fact that under the square-root re-parametrization, the space of pdfs forms a Riemannian manifold, namely the unit Hilbert sphere. An immediate consequence of this re-parametrization is th ..."
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Cited by 9 (1 self)
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generalizations of local nonlinear dimensionality reduction algorithms from Euclidean to Riemannian spaces. Then, by assuming that the pdfs from different groups are separated, we show that the null space of a matrix built from the local representation gives the segmentation of the pdfs. We also apply of our
Local statistical properties of electrostatic fluctuations in the TORPEX experiment
"... Introduction A statistical description of a complex system characterized by fluctuations and turbulence can be a good approach for a better understanding of it [1]. For instance, Self-Organized Critical systems are characterized by intermittent fluctuations and so by very skewed probability density ..."
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functions (pdfs) [2]. In plasma turbulence and in particular in the Scrape-Off Layer of fusion plasma, the existence of an universal probability density function that can
New Analytical Models and Probability Density Functions for Fading in Wireless Communication
- IEEE Transactions on Communications
, 2002
"... Abstract—This paper presents new envelope probability density functions (pdfs) that describe small-scale, local area fading experi-enced by narrow-band wireless receivers. The paper also develops novel pdfs that describe the local area fading of two specular mul-tipath components in the presence of ..."
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Cited by 14 (0 self)
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Abstract—This paper presents new envelope probability density functions (pdfs) that describe small-scale, local area fading experi-enced by narrow-band wireless receivers. The paper also develops novel pdfs that describe the local area fading of two specular mul-tipath components in the presence
Evolution of Cosmological Density Distribution Function from the Local Collapse Model
, 2003
"... We present a general framework to treat the evolution of one-point probability distribution function (PDF) for cosmic density δ and velocity-divergence fields θ. In particular, we derive an evolution equation for the one-point PDFs and consider the stochastic nature associated with these quantities. ..."
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. Under the local approximation that the evolution of cosmic fluid fields can be characterized by the Lagrangian local dynamics with finite degrees of freedom, evolution equation for PDFs becomes a closed form and consistent formal solutions are constructed. Adopting this local approximation, we
Results 1 - 10
of
105