Maximum entropy method (MEM)
Image Restoration based on Maximum Entropy Method with Parameter Estimation by Means of Annealing Method
... the maximum entropy method has been proposed as an image restoration method because it can take into account constraints (or prior knowledge) and resistance to noise ...a method for ...
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Solving Fredholm Integral Equations via a Piecewise Linear Maximum Entropy Method
... a maximum entropy method using piecewise linear functions has been developed for recovering a density function for the statistical study of deterministic dynamical system on an interval ...the ...
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A Maximum Entropy Method for Solving the Boundary Value Problem of Second Order Ordinary Differential Equations
... The maximum entropy principle was proposed by Jaynes in 1957, 1 which has been widely used in statistical physics, image processing, networks, ...The maximum entropy method has been ...
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Deconvolving and improving the spatial resolution of satellite data using the Maximum Entropy Method
... convolution method was developed to minimise boundary effects, a deconvolution algorithm was used to remove instrumental distortion, and a resolution enhancement algorithm was developed to improve the spatial ...
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Deconvolving and improving the spatial resolution of satellite data using the Maximum Entropy Method
... Multiscale Entropy deconvolution algorithm developed for MODIS Aqua in Chapter 4 has the most influence on high-contrast scenes that include highly reflective features such as clouds or ice, as well as ...
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Extracting Risk Neutral Densities For Weather Derivatives Pricing Using The Maximum Entropy Method
... dual entropy, but it is not a problem nor does it preclude our method from finding a ...dual entropy was unbounded, we found a bounded solution when a subset of the options used for ...Our ...
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Research on method of detecting beef fat content based on maximum entropy segmentation
... S p = S (4) where p is the fat percentage. S is the area. Subscript fat and total are the fat area and the beef total area respectively. Here the Hydrote and Soxtec made in FOSS Inc. are employed to rapidly determine the ...
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Maximum Entropy Reconstruction for Gas Dynamics
... the Maximum Entropy and DSMC shock solutions. The Maximum Entropy method does a good job of approximating the PDF to the eye, but slight differences compared with DSMC become apparent ...
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Maximum Entropy, Parallel Computations and Lotteries
... the Maximum Entropy method to estimate the probability of each ticket being bought in the UK National Lottery using the fraction of winners in the 3, 4, and 5 match ...
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Maximum Entropy Estimation for Survey sampling
... Maximum Entropy Estimation for Survey sampling Fabrice Gamboa, Jean-Michel Loubes and Paul Rochet Abstract Calibration methods have been widely studied in survey sampling over the last ...a maximum ...
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Research of segmentation method on color image of Lingwu long jujubes based on the maximum entropy
... multiple maximum entropy method to segment the target objects correctly when more than two different re- gions need to be segmented in the ...
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Counting integer partitions with the method of maximum entropy
... Use results about “typical” partitions + prove a local central limit theorem (e.g. Tran, Murthy, and Badhuri, 2003) Large deviations (Melczer, Panova, and Pemantle, 2019) No free lun[r] ...
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The point collocation method with a local maximum entropy approach.
... collocation method is developed which is based on maximum entropy basis functions which bring benefits in terms of accuracy and ...new method, numerical examples are presented, including 1D ...
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Assembly Process Optimization Method Based on Maximum Entropy Theory
... unify Maximum entropy estimation and Bayesian field theory by showing that every maximum entropy density estimate can be recovered in the infinite smoothness limit of an appropriate Bayesian ...
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Multicollinearity and maximum entropy estimators
... 2. The Maximum Entropy Leuven Estimator The MEL estimator is inspired by the theory of light. The analogy with economic analysis runs as follows. Light carries information about the physical environment. ...
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Maximum entropy and learning theory
... Figure 4: Experimentally determined and predicted values of total error across the training density after competitive learning was performed using a 20-neuron network trained to various [r] ...
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A Maximum Entropy Inspired Parser
... We also present some partial results showing the effects of different conditioning information, including a surpris- ing 2% improvement due to guessing the lexical h[r] ...
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Maximum Entropy Correlated Equilibria
... Because a game can have many equilibria, another related question is, which equilibria are more natural or likely to naturally arise from the players’ dynamics? This “selec- tion” question is not particular to game ...
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Generalized Maximum Entropy Estimation
... the maximum entropy subject to finite moment constraints can be approximated by using duality of convex ...The method seems to be powerful in practice, however a rate of convergence has not been ...
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CiteSeerX — Maximum a posteriori Maximum Entropy Order Determination
... that Maximum a Posteriori Bayesian arguments, coupled with Maximum Entropy considerations, offer an operational and consistent model order selection scheme, competitive with the Minimum Description ...
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