SAR Image Classification with Non-stationary Multinomial Logistic Mixture of Amplitude and Texture Densities

Abstract: We wish to estimate conditional density using Gaussian Mixture Regression model with logistic weights and means depending on the covariate.. We aim at selecting the number

Experimental results on Berg dataset show that the proposed image feature representation method together with the constructed image classifier, SVM-MK, can achieve

However, over the past few years, advances on sequencing biotechnolo- gies and other improvements on experimental protocols led to the elucidation of more ncRNA categories, the

Associated to the task analysis, the project is also conducting a cognitive modeling activity to develop constructive simulations of the CQB skills. Constructive

Modifying the initial powder mixture and the thermal treatment conditions produced materials having different microstructures (A, B1, B2 and B3) [2]. Electrochemistry was used to:

Using data collected from patients in Kedougou region, from 2009 to 2013, we adjusted a multinomial logistic model and selected relevant variables in explaining coinfection status..

First, the mixture of logistic regression model is presented in Section 2.1, and the prediction step is described thereby. Then, parameter estimation by maximization of the

Large Deviation Multifractal Analysis of a Class of Additive Processes with Correlated Non-Stationary Increments... Large Deviation Multifractal Analysis of a Class of