Image Models (and their Speech Model Cousins)

Image Models (and their Speech Model Cousins)

Paperback(Softcover reprint of the original 1st ed. 1996)

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Overview

Image Models (and their Speech Model Cousins) by Stephen Levinson

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.

Product Details

ISBN-13: 9781461284826
Publisher: Springer New York
Publication date: 09/17/2011
Series: IMA Volumes in Mathematics and its Applications Series , #80
Edition description: Softcover reprint of the original 1st ed. 1996
Pages: 204
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Iterative reconstruction algorithms based on cross-entropy minimization.- Stop consonants discrimination and clustering using nonlinear transformations and wavelets.- Maximum a posteriori image reconstruction from projections.- Direct parsing of text.- Hierarchical modelling for microstructure of certain brittle materials.- Hidden Markov models estimation via the most informative stopping times for the Viterbi algorithm.- Constrained shastic language models.- Recovering DNA sequences from electrophoresis data.- Image and speech and EM.- Non-stationary hidden Markov models for speech recognition.- Applications of the EM algorithm to linear inverse problems with positivity constraints.

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