Title: Image Models (and Their Speech Model Cousins)
Description: This volume explores the interface between two diverse areas of applied mathematics which are both 'customers' of the maximum likelihood methodology; emission tomography and hidden Markov models as an approach to speech understanding. Other areas where maximum likelihood is used in this volume include parsing of text (Jelinek), microstructure of materials (Ji), DNA sequencing (Nelson). Most of the participants were in the main areas of speech or emission density reconstruction.
Subjects: Image processing, Multivariate analysis, Estimation theory, Speech processing systems, Mathematics, Distribution (Probability theory), Global analysis (Mathematics), Probability Theory and Stochastic Processes, Analysis