A Maximum Entropy Framework for Part-Based Texture and Object Recognition

Several numerical examples are performed in order to illustrate the accuracy and the robustness of the method in comparison to the nonparametric importance sampling approach

In this paper we are interested in the distribution of the maximum, or the max- imum of the absolute value, of certain Gaussian processes for which the result is exactly known..

We now require that for hydrostatic equilibrium the total entropy S be an extremum (maximum) for all infinitesimal adiabatic variations of the energy density e

Annales de l’lnstitut Henri Foineare - Probabilités et Statistiques.. the speed measure of a standard Brownian.. motion. 5) from the corresponding formula for a

a- The sum of all of the probabilities within the definition interval must be equal to one. Mathematically, the two restrictions can be expressed as:.. The resulting distributions

While requiring only a few parameters (e.g. channel average power and Doppler spread), it is shown through fading statistics and bit error rates measurements that accurate

Distribution of the habitat suitability of the main malaria vector in French Guiana using Maximum Entropy modeling.. Yi Moua 1 , Emmanuel Roux 2 , Romain Girod 3 , Isabelle Dusfour 3

Sellens [21] explained that the unrealistic behavior of the number-based drop-size distribution he obtained with Brzustowski (Equation 23) at small drop diameter