Image Models (and Their Speech Model Cousins)

By: Lawrence A. Shepp, Stephen Levinson (Editor), Larry Shepp (Editor)

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Hardcover | 29 August 1996

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This IMA Volume in Mathematics and its Applications IMAGE MODELS (AND THEIR SPEECH MODEL COUSINS) is based on the proceedings of a workshop that was an integral part of the 1993-94 IMA program on "Emerging Applications of Probability." We thank Stephen E. Levinson and Larry Shepp for organizing the workshop and for editing the proceedings. We also take this opportunity to thank the National Science Foundation, the Army Research Office, and the National Security Agency, whose financial support made the workshop possible. A vner Friedman Willard Miller, Jr. v PREFACE This volume is an attempt to explore the interface between two diverse areas of applied mathematics that are both "customers" of the maximum likelihood methodology: emission tomography (on the one hand) and hid den Markov models as an approach to speech understanding (on the other hand). There are other areas where maximum likelihood is used, some of which are represented in this volume: parsing of text (Jelinek), microstruc ture of materials (Ji), and DNA sequencing (Nelson). Most of the partici pants were in the main areas of speech or emission density reconstruction. Of course, there are many other areas where maximum likelihood is used that are not represented here.

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Non-Fiction Mathematics Applied Mathematics Stochastics Computing & I.T.Computer Science Audio Processing Image Processing Probability & Statistics Calculus & Mathematical Analysis Science Science in General

Maths for Scientists Engineering & Technology Technology in General Maths for Engineers Other Technologies & Applied Sciences Applied Optics Engineering in General

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Paperback

Published: 17th September 2011

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Foreword
Preface
Iterative reconstruction algorithms based on cross-entropy minimization	p. 1
Stop consonants discrimination and clustering using nonlinear transformations and wavelets	p. 13
Maximum a posteriori image reconstruction from projections	p. 63
Direct parsing of text	p. 91
Hierarchical modelling for microstructure of certain brittle materials	p. 107
Hidden Markov models estimation via the most informative stopping times for the Viterbi algorithm	p. 115
Constrained stochastic language models	p. 131
Recovering DNA sequences from electrophoresis data	p. 141
Image and speech and EM	p. 153
Non-stationary hidden Markov models for speech recognition	p. 161
Applications of the EM algorithm to linear inverse problems with positivity constraints	p. 183
Table of Contents provided by Blackwell. All Rights Reserved.

Image Models (and Their Speech Model Cousins)

At a Glance

Hardcover

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How to return your order

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You Can Find This Book In

Other Editions and Formats

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