Cell segmentation by multi-resolution analysis and maximum likelihood estimation (MAMLE)

Multi Resolution Fuzzy Segmentation of Satellite Images

Multi-channel Maximum Likelihood Sequence Estimation

In mobile radio communications, antenna arrays can be used to improve the quality and/or the capacity of the communication system. The combination of an antenna array and maximum likelihood sequence detection (MLSE) is studied here. Diierent realizations of the multi-channel MLSE are presented. Although equivalent in performance, it is pointed out that one of them, the multi-dimensional matched...

Bayesian and Iterative Maximum Likelihood Estimation of the Coefficients in Logistic Regression Analysis with Linked Data

This paper considers logistic regression analysis with linked data. It is shown that, in logistic regression analysis with linked data, a finite mixture of Bernoulli distributions can be used for modeling the response variables. We proposed an iterative maximum likelihood estimator for the regression coefficients that takes the matching probabilities into account. Next, the Bayesian counterpart...

Maximum Likelihood Estimation for Yield Analysis

A generic method to develop a defect monitoring system for IC processes, A comparison of new and old algorithms for a mixture estimation problem, The numerical evaluation of the maximum-likelihood estimate of a subset of mixture proportions, [19] LOQO an efficient implementation of an interior-point method for large scale linear and/or quadratic programming problems, available via ftp://elib.zi...

Independent Component Analysis via Nonparametric Maximum Likelihood Estimation By

Independent Component Analysis (ICA) models are very popular semiparametric models in which we observe independent copies of a random vector X =AS, where A is a non-singular matrix and S has independent components. We propose a new way of estimating the unmixing matrix W = A−1 and the marginal distributions of the components of S using nonparametric maximum likelihood. Specifically, we study th...