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The Hybrid Maximum Entropy Reconstruction Method

Maximum Entropy Reconstruction for Gas Dynamics

Maximum Entropy Reconstruction for Gas Dynamics

... The hybrid scheme, on the other hand, is extremely robust owing to the elimination of the need for numerically computing the shape of the highly-sensitive ...some hybrid p i values are due to the onset of ...

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The quantification of SIMS depth profiles by Maximum Entropy
reconstruction

The quantification of SIMS depth profiles by Maximum Entropy reconstruction

... The effect of changing the estimate of the standard deviation on the reconstruction of a single peak, using the Shannon-Jaynes entropy. The[r] ...

205

Nonuniform sampling and maximum entropy reconstruction in multidimensional NMR

Nonuniform sampling and maximum entropy reconstruction in multidimensional NMR

... NMR spectroscopy is one of the most powerful and versatile analytic tools available to chemists. The discrete Fourier transform (DFT) played a seminal role in the development of modern NMR, including the multidimensional ...

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Counting integer partitions with the method of maximum entropy

Counting integer partitions with the method of maximum entropy

... ˆ Use results about “typical” partitions + prove a local central limit theorem (e.g. Tran, Murthy, and Badhuri, 2003) ˆ 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.

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

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 ...

5

A hybrid method for sound-hard obstacle reconstruction

A hybrid method for sound-hard obstacle reconstruction

... On the other hand, decomposition methods take care of the ill-posedness and the nonlinearity of the inverse scattering problem separately. In a first step the function u is reconstructed from the given far field pattern ...

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Image Restoration based on Maximum Entropy Method with Parameter Estimation by Means of Annealing Method

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 ...

7

A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition

A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition

... Abstract We describe our effort in developing a Named Entity Recognition (NER) system for Hindi using Maximum Entropy (Max- Ent) approach. We developed a NER an- notated corpora for the purpose. We have ...

7

Supermassive black holes with high accretion rates in active galactic nuclei  VII  Reconstruction of velocity delay maps by maximum entropy method

Supermassive black holes with high accretion rates in active galactic nuclei VII Reconstruction of velocity delay maps by maximum entropy method

... the maximum entropy method (MEM) to 9 narrow-line Seyfert 1 galaxies with super-Eddington accretion rates observed during 2012-2013 for the velocity-delay maps of their Hβ and Hγ emission ...

15

Generalized Maximum Entropy Estimation

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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Image/Video Reconstruction Using a Novel Hybrid Method

Image/Video Reconstruction Using a Novel Hybrid Method

... image/video reconstruction a novel hybrid method combining both super resolution and particle swarm optimization algorithm is ...image/video reconstruction, initially to up-sample the frames a ...

10

CiteSeerX — Maximum a posteriori Maximum Entropy Order Determination

CiteSeerX — Maximum a posteriori Maximum Entropy Order Determination

... MAPME method to the determination of the number of sinusoids in additive Gaussian noise, for which work is currently under way, and to a generalization of the Equal Variance formulation to the full ...

15

Mencius: A Chinese Named Entity Recognizer Using the Maximum Entropy-based Hybrid Model

Mencius: A Chinese Named Entity Recognizer Using the Maximum Entropy-based Hybrid Model

... a Maximum Entropy-based Framework and a word segmentation module: (1) Template-based with Char-based Tokenization (TC), (2) Template-based with Word-based Tokenization (TW), (3) Hybrid with ...

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Research on method of detecting beef fat content based on maximum entropy segmentation

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 ...

7

Maximum Entropy and MAP Estimation Using Conjugate Gradient Method for Phase Unwrapping

Maximum Entropy and MAP Estimation Using Conjugate Gradient Method for Phase Unwrapping

... CG method reconstructs two sets of unwrapped phase differences from four sets of differences of phase differences in the principal ...present method realized phase unwrapping perfectly without using prior ...

6

Solving Fredholm Integral Equations via a Piecewise Linear Maximum Entropy Method

Solving Fredholm Integral Equations via a Piecewise Linear Maximum Entropy Method

... approximation method, based on the maximum entropy principle, to approximate a nonnegative solution of a Fredholm integral equation ...our method has a convergence rate of order 2, and it can ...

20

We derive general distribution tests based on the method of Maximum Entropy density.

We derive general distribution tests based on the method of Maximum Entropy density.

... the method of maximum entropy (ME) ...differential entropy subject to known moment ...and maximum likelihood estimates for the exponential family, we can use the conventional likelihood ...

24

Deconvolving and improving the spatial resolution of satellite data using the Maximum Entropy  Method

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 ...

11

Deconvolving and improving the spatial resolution of satellite data using the Maximum Entropy  Method

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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