Pattern recognition : practices, perspectives and challenges / Darrell B. Vincent, editor.

Format:

Book

Contributor:

Vincent, Darrell B.

Series:

Computer science, technology and applications.

Computer science, technology and applications

Language:

English

Subjects (All):

Pattern recognition systems.

Physical Description:

1 online resource (204 p.)

Edition:

1st ed.

Place of Publication:

New York : Nova Science Publishers, Inc., 2013.

Language Note:

English

Summary:

In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition. Topics include the practical usage of algorithmic probability in pattern recognition; application of pattern recognition in optimization-simulation techniques; pattern recognition applied to spectroscopy; optimization of an embedded simplified fuzzy ARTMAP implemented on a microcontroller using MATLAB GUI environment; pattern recognition using quaternion color moments; and pattern recognition by Bessel mask and one-dimensional signatures.

Contents:

Intro

PATTERN RECOGNITION: PRACTICES, PERSPECTIVES AND CHALLENGES

Library of Congress Cataloging-in-Publication Data

Contents

Preface

Chapte 1: Pattern Recognition Applied to Spectroscopy: Conventional Methods and Future Directions

1PPGCA Universidade Federal de Minas Gerais

Belo Horizonte, MG - Brasil

2DEMEC, Universidade Federal de Minas Gerais

Abstract

1. Introduction

2. Basic Concepts of Spectroscopy

3. Classification Techniques

3.1. Unsupervised Analysis

3.1.1. Principal Component Analysis (PCA)

3.1.2. Clustering Algorithms

3.2. Supervised Learning

3.2.1. Linear Discriminant Analysis (LDA)

3.2.2. Partial Least Squares Discriminant Analysis

3.2.3. kNN (k-Nearest Neighbor)

3.2.4. Neural Networks

4. Regression Analysis

4.1. Linear Regression Analysis

4.2. Non-Linear Regression Analysis

5. Future Trends

5.1. Sparse Learning Dimensionality Reduction Algorithms

5.2. Hyperspectral Analysis

5.2.1. Support Vector Machines

Concluding Remarks

Acknowledgments

References

Chapter 2: Optimization of an Embedded Simplified Fuzzy ARTMAP Implemented on a Microcontroller Using MATLAB GUI Environment

2. Fuzzy ARTMAP: A Brief Review

2.1. Simplified Fuzzy ARTMAP

2.2. Simplified Fuzzy ARTMAP Graphical User Interface

2.2.1. Input Data

2.2.2. Training

2.2.3. Cross Validation

2.2.4. Data Selection

3. Materials and Methods[24]-[73]

3.1. Electrodes

3.2. Electronic System

3.3. Measurement Process

3.4. Data Analysis

3.4.1. Training and Validation with GUI

Floral Origin Network

Physical Treatment Network

3.5. Implementation of SFAM in the Microcontroller

4. Results and Discussion

Conclusion.

Acknowledgments

Chapter 3: Application of Pattern Recognition in Optimization-Simulation Technique

Introduction

1. Optimization with Simulation Model Using

2. Classification of Optimization-Simulation Problems

2.1. Single-Criterion Problems

2.2. Multicriteria Problems

2.3. Optimization Problem with Continuous Optimization Criterion

3. Algorithm for the Efficiency Region Searching

3.1. Application Pattern Recognition Methods in the Algorithm of Efficiency Region Search

4. Examples of Application -Search

with Averaging

Conclusion

Chapter 4: Practical Usage of Algorithmic Probability in Pattern Recognition

2. Bayes' Criterion

3. Practical Minimum

Description Length Principle

4. Algorithmic Complexity and Probability

5. Between Theoretical and Practical MDL

6. Algorithmic Probability

7. Towards Practical Algorithmic Probability

Chapter 5: Pattern Recognition Using Quaternion Color Moments

2. Quaternion Basics

3. Moment Categories

4. Producing Radial Color Moments

5. Radial Moment Invariants

6. Computational Aspects &amp

Algorithms

7. Experimental Analysis

Chapter 6: Pattern Recognition by Bessel Mask and One-Dimensional Signatures

1. The Bessel Mask

2. The One-Dimensional Signature

3. The Pattern Recognition

Index.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-62618-198-5

OCLC:

852797885