Parameter estimation for spatial random trees using the EM algorithm

A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in [9]. The model is based on multiscale stochastic trees with stochastic structure as well as stochastic states. In this work, we describe a method for estimating the parameters of the process.

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: Ilya Pollak, Jeffrey Mark Siskind, Mary P. Harper, Charles A. Bouman
• Keywords: ICIP 2003, Image Processing, Multidimensional Stochastic Processes, Multiscale Stochastic Trees, Stochastic