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Approximating discrete probability distributions with dependence trees
 IEEE TRANSACTIONS ON INFORMATION THEORY
, 1968
"... A method is presented to approximate optimally an ndimensional discrete probability distribution by a product of secondorder distributions, or the distribution of the firstorder tree dependence. The problem is to find an optimum set of n1 first order dependence relationship among the n variables ..."
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Cited by 874 (0 self)
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A method is presented to approximate optimally an ndimensional discrete probability distribution by a product of secondorder distributions, or the distribution of the firstorder tree dependence. The problem is to find an optimum set of n1 first order dependence relationship among the n
Probability Distributions of Optical Flow
 PROC. CONF. COMP. VISION AND PATT. RECOGNITION
, 1991
"... Gradient methods are widely used in the computation of optical flow. We discuss extensions of these methods which compute probability distributions of optical flow. The use of distributions allows representation of the uncertainties inherent in the optical flow computation, facilitating the combinat ..."
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Cited by 216 (14 self)
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Gradient methods are widely used in the computation of optical flow. We discuss extensions of these methods which compute probability distributions of optical flow. The use of distributions allows representation of the uncertainties inherent in the optical flow computation, facilitating
probability distributions
, 2011
"... Publication details, including instructions for authors and subscription information: ..."
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Publication details, including instructions for authors and subscription information:
Probability Distributions on Cladograms
 In Random Discrete Structures
, 1996
"... By analogy with the theory surrounding the Ewens sampling formula in neutral population genetics, we ask whether there exists a natural oneparameter family of probability distributions on cladograms ("evolutionary trees") which plays a central role in neutral evolutionary theory. Unfortuna ..."
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Cited by 66 (2 self)
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By analogy with the theory surrounding the Ewens sampling formula in neutral population genetics, we ask whether there exists a natural oneparameter family of probability distributions on cladograms ("evolutionary trees") which plays a central role in neutral evolutionary theory
Partly Divisible Probability Distributions
, 2005
"... Given a probability distribution µ a set Λ(µ) of positive real numbers is introduced, so that Λ(µ) measures the ”divisibility ” of µ. The basic properties of Λ(µ) are described and examples of probability distributions are given, which exhibit the existence of a continuum of situations interpolating ..."
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Cited by 1 (0 self)
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Given a probability distribution µ a set Λ(µ) of positive real numbers is introduced, so that Λ(µ) measures the ”divisibility ” of µ. The basic properties of Λ(µ) are described and examples of probability distributions are given, which exhibit the existence of a continuum of situations
WLAN Location Determination via Clustering and Probability Distributions
 In IEEE PerCom 2003
, 2003
"... We present a WLAN location determination technique, the Joint Clustering technique, that uses (1) signal strength probability distributions to address the noisy wireless channel, and (2) clustering of locations to reduce the computational cost of searching the radio map. The Joint Clustering techniq ..."
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Cited by 171 (6 self)
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We present a WLAN location determination technique, the Joint Clustering technique, that uses (1) signal strength probability distributions to address the noisy wireless channel, and (2) clustering of locations to reduce the computational cost of searching the radio map. The Joint Clustering
The FourierSeries Method For Inverting Transforms Of Probability Distributions
, 1991
"... This paper reviews the Fourierseries method for calculating cumulative distribution functions (cdf's) and probability mass functions (pmf's) by numerically inverting characteristic functions, Laplace transforms and generating functions. Some variants of the Fourierseries method are remar ..."
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Cited by 208 (52 self)
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This paper reviews the Fourierseries method for calculating cumulative distribution functions (cdf's) and probability mass functions (pmf's) by numerically inverting characteristic functions, Laplace transforms and generating functions. Some variants of the Fourierseries method
Bounds on marginal probability distributions
 Advances in Neural Information Processing Systems 21 (NIPS*2008
, 2008
"... We propose a novel bound on singlevariable marginal probability distributions in factor graphs with discrete variables. The bound is obtained by propagating local bounds (convex sets of probability distributions) over a subtree of the factor graph, rooted in the variable of interest. By constructio ..."
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Cited by 16 (0 self)
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We propose a novel bound on singlevariable marginal probability distributions in factor graphs with discrete variables. The bound is obtained by propagating local bounds (convex sets of probability distributions) over a subtree of the factor graph, rooted in the variable of interest
Parametric probability distributions in reliability ∗
"... In this paper, we present an overview of basic parametric probability distributions which are frequently used in reliability. We present some main characteristics of these distributions, and briefly discuss underlying assumptions related to their suitability as models for specific reliability scenar ..."
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In this paper, we present an overview of basic parametric probability distributions which are frequently used in reliability. We present some main characteristics of these distributions, and briefly discuss underlying assumptions related to their suitability as models for specific reliability
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