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Image Models (and their Speech Model Cousins)
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Catalogue Information
Field name
Details
Dewey Class
519.2
Title
Image Models (and their Speech Model Cousins) ([EBook] /) / edited by Stephen E. Levinson, Larry Shepp.
Added Personal Name
Levinson, Stephen E.
editor.
Shepp, Larry
editor.
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : : Springer New York, , 1996.
Physical Details
X, 204 p. : online resource.
Series
The IMA volumes in mathematics and its applications
0940-6573 ; ; 80
ISBN
9781461240563
Summary Note
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.:
Contents note
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 stochastic 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.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-1-4612-4056-3
Links to Related Works
Subject References:
Analysis
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Analysis (Mathematics)
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Applications of Mathematics
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Applied mathematics
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Appl.Mathematics/Computational Methods of Engineering
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Engineering mathematics
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Mathematical analysis
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Mathematics
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Probabilities
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Probability theory and stochastic processes
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Authors:
Levinson, Stephen E.
.
Shepp, Larry
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Corporate Authors:
SpringerLink (Online service)
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Series:
The IMA volumes in mathematics and its applications
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Classification:
519.2
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