Title :
Parameter estimation for spatial random trees using the EM algorithm
Author :
Pollak, I. ; Siskind, JM ; Harper, M.P. ; Bouman, C.A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in J. Pollak et al. (2003). 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.
Keywords :
context-free grammars; multidimensional signal processing; parameter estimation; stochastic processes; EM algorithm; multiscale multidimensional stochastic processes; parameter estimation; spatial random trees; Character recognition; Context modeling; Hidden Markov models; Inference algorithms; Multidimensional systems; Optical character recognition software; Parameter estimation; State estimation; Stochastic processes; Tree data structures;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1246947
