A differential method of maximum entropy

A Differential Method of Maximum Entropy

We consider a differential method of maximum entropy that is based on the linearity of Fourier transform and involves reconstruction of images from the differences of the visibility function. The efficiency of the method is demonstrated with respect to the recovery of source images with bright components against the background of a sufficiently weak extended base. The simulation results are giv...

A Maximum Entropy Method for Language Modelling

The language models used for automatic speech recognition (ASR) are often based on very simple Markov models. This paper presents an overview of a more powerful modelling technique, Maximum Entropy (ME), and its application in langauge modelling. Preliminary results indicate that ME models are viable for this task, and perform slightly better than the traditional models.

A Maximum Entropy Method for Particle Filtering

Standard ensemble or particle filtering schemes do not properly represent states of low priori probability when the number of available samples is too small, as is often the case in practical applications. We introduce here a set of parametric resampling methods to solve this problem. Motivated by a general H-theorem for relative entropy, we construct parametric models for the filter distributi...

Maximum Entropy Method for Composition Vector Method

Determination of Maximum Bayesian Entropy Probability Distribution

In this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed. Next, some numerical solutions are considered for the cases of unavailable closed form of solutions. Finally, these methods are illustrated via some numerical examples.