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TABLE OF CONTENTS<br />

PERMISSION TO USE ................................................................................i<br />

ABSTRACT ..................................................................................................ii<br />

ACKNOWLEDGEMENT.............................................................................iv<br />

DEDICATION ..............................................................................................v<br />

TABLE OF CONTENTS ..............................................................................vi<br />

LIST OF TABLES ........................................................................................ix<br />

LIST OF FIGURES.......................................................................................xi<br />

LIST OF ACRONYMS.................................................................................xiii<br />

1 GENERAL INTRODUCTION<br />

1.1 Introduction .................................................................................1<br />

1.2 Literature review .........................................................................2<br />

1.2.1 Introduction to finite mixture <strong>models</strong>...........................2<br />

1.2.2 History <strong>of</strong> <strong>hidden</strong> Markov <strong>models</strong>................................3<br />

1.2.3 Hidden Markov model and<br />

<strong>hidden</strong> Markov random field model .............................5<br />

1.3 Outline <strong>of</strong> the thesis.....................................................................8<br />

2 HIDDEN MARKOV MODELS ( HMM’s) AND HIDDEN<br />

MARKOV RANDOM FIELDS (HMRF’s)<br />

2.1 Discrete time finite space Markov chain .....................................9<br />

2.2 Examples <strong>of</strong> <strong>hidden</strong> Markov <strong>models</strong>...........................................10<br />

2.3 Definition <strong>of</strong> the <strong>hidden</strong> Markov model......................................17<br />

2.4 Definition <strong>of</strong> the <strong>hidden</strong> Markov random field model ................20<br />

2.4.1 Markov random fields ..................................................20<br />

2.4.2 Hidden Markov random field (HMRF) model .............26<br />

3 INFERENCE IN HIDDEN MARKOV MODELS<br />

3.1 Introduction .................................................................................29<br />

3.2 Solutions to three estimation problems .......................................30<br />

3.2.1 Problem 1 and its solution ............................................30<br />

3.2.2 Problem 2 and its solution ............................................35<br />

3.2.3 Problem 3 and its solution ............................................37<br />

4 HIDDEN MARKOV MODEL AND THEIR APPLICATIONS<br />

TO WEED COUNTS<br />

4.1 Introduction .................................................................................43<br />

4.2 Weed species composition ..........................................................44<br />

4.2.1 Wild Oats......................................................................45<br />

4.2.1.1 Effects on crop quality...................................45<br />

4.2.2 Wild Buckwheat ...........................................................46<br />

4.2.2.1 Effects on crop quality...................................47<br />

4.2.3 Dandelion .....................................................................47<br />

4.2.3.1 Effects on crop quality...................................47<br />

vi

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