Pattern Recognition and Classification: an Introduction
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY [u.a.]
Springer
2013
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| Subjects: | |
| Online Access: | BTU01 FHA01 FHM01 FHN01 FKE01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource (XI, 196 S.) Ill., graph. Darst. |
| ISBN: | 9781461453239 |
| DOI: | 10.1007/978-1-4614-5323-9 |
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Record in the Search Index
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| adam_text | PATTERN RECOGNITION AND CLASSIFICATION
/ DOUGHERTY, GEOFF
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
PREFACE
ACKNOWLEDGMENTS
CHAPTER 1 INTRODUCTION
1.1 OVERVIEW
1.2 CLASSIFICATION
1.3 ORGANIZATION OF THE BOOK
BIBLIOGRAPHY
EXERCISES
CHAPTER 2 CLASSIFICATION
2.1 THE CLASSIFICATION PROCESS
2.2 FEATURES
2.3 TRAINING AND LEARNING
2.4 SUPERVISED LEARNING AND ALGORITHM SELECTION
2.5 APPROACHES TO CLASSIFICATION
2.6 EXAMPLES
2.6.1 CLASSIFICATION BY SHAPE
2.6.2 CLASSIFICATION BY SIZE
2.6.3 MORE EXAMPLES
2.6.4 CLASSIFICATION OF LETTERS
BIBLIOGRAPHY
EXERCISES
CHAPTER 3 NON-METRIC METHODS
3.1 INTRODUCTION
3.2 DECISION TREE CLASSIFIER
3.2.1 INFORMATION, ENTROPY AND IMPURITY
3.2.2 INFORMATION GAIN
3.2.3 DECISION TREE ISSUES
3.2.4 STRENGTHS AND WEAKNESSES
3.3 RULE-BASED CLASSIFIER
3.4 OTHER METHODS
BIBLIOGRAPHY
EXERCISES
CHAPTER 4 STATISTICAL PATTERN RECOGNITION
4.1 MEASURED DATA AND MEASUREMENT ERRORS
4.2 PROBABILITY THEORY
4.2.1 SIMPLE PROBABILITY THEORY
4.2.2 CONDITIONAL PROBABILITY AND BAYES’ RULE
4.2.3 NAIVE BAYES CLASSIFIER
4.3 CONTINUOUS RANDOM VARIABLES
4.3.1 THE MULTIVARIATE GAUSSIAN
4.3.2 THE COVARIANCE MATRIX
4.3.3 THE MAHALANOBIS DISTANCE
BIBLIOGRAPHY
EXERCISES
CHAPTER 5 SUPERVISED LEARNING
5.1 PARAMETRIC AND NON-PARAMETRIC LEARNING
5.2 PARAMETRIC LEARNING
5.2.1 BAYESIAN DECISION THEORY
5.2.2 DISCRIMINANT FUNCTIONS AND DECISION BOUNDARIES
5.2.3 MAP (MAXIMUM A POSTERIORI) ESTIMATOR
BIBLIOGRAPHY
EXERCISES
CHAPTER 6 NON-PARAMETRIC LEARNING
6.1 HISTOGRAM ESTIMATOR AND PARZEN WINDOWS
6.2 K-NEAREST NEIGHBOR (K-NN) CLASSIFICATION
6.3 ARTIFICIAL NEURAL NETWORKS (ANNS)
6.4 KERNEL MACHINES
BIBLIOGRAPHY
EXERCISES
CHAPTER 7 FEATURE EXTRACTION AND SELECTION
7.1 REDUCING DIMENSIONALITY
7.1.1 PRE-PROCESSING
7.2 FEATURE SELECTION
7.2.1 INTER/INTRA-CLASS DISTANCE
7.2.2 SUBSET SELECTION
7.3 FEATURE EXTRACTION
7.3.1 PRINCIPAL COMPONENT ANALYSIS (PCA)
7.3.2 LINEAR DISCRIMINANT ANALYSIS (LDA)
BIBLIOGRAPHY
EXERCISES
CHAPTER 8 UNSUPERVISED LEARNING
8.1 CLUSTERING
8.2 K-MEANS CLUSTERING
8.2.1 FUZZY C-MEANS CLUSTERING
8.3 (AGGLOMERATIVE) HIERARCHICAL CLUSTERING
BIBLIOGRAPHY
EXERCISES
CHAPTER 9 ESTIMATING AND COMPARING CLASSIFIERS
9.1 COMPARING CLASSIFIERS AND THE NO FREE LUNCH THEOREM
9.1.2 BIAS AND VARIANCE
9.2 CROSS-VALIDATION AND RESAMPLING METHODS
9.2.1 THE HOLDOUT METHOD
9.2.2 K-FOLD CROSS-VALIDATION
9.2.3 BOOTSTRAP
9.3 MEASURING CLASSIFIER PERFORMANCE
9.4 COMPARING CLASSIFIERS
9.4.1 ROC CURVES
9.4.2 MCNEMAR’S TEST
9.4.3 OTHER STATISTICAL TESTS
9.4.4 THE CLASSIFICATION TOOLBOX
9.5 COMBINING CLASSIFIERS
BIBLIOGRAPHY
CHAPTER 10 PROJECTS
10.1 RETINAL TORTUOSITY AS AN INDICATOR OF DISEASE
10.2 SEGMENTATION BY TEXTURE
10.3 BIOMETRIC SYSTEMS
10.3.1 FINGERPRINT RECOGNITION
10.3.2 FACE RECOGNITION
BIBLIOGRAPHY
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
PATTERN RECOGNITION AND CLASSIFICATION
/ DOUGHERTY, GEOFF
: 2013
ABSTRACT / INHALTSTEXT
THE USE OF PATTERN RECOGNITION AND CLASSIFICATION IS FUNDAMENTAL TO MANY
OF THE AUTOMATED ELECTRONIC SYSTEMS IN USE TODAY. HOWEVER, DESPITE THE
EXISTENCE OF A NUMBER OF NOTABLE BOOKS IN THE FIELD, THE SUBJECT REMAINS
VERY CHALLENGING, ESPECIALLY FOR THE BEGINNER. PATTERN RECOGNITION AND
CLASSIFICATION PRESENTS A COMPREHENSIVE INTRODUCTION TO THE CORE
CONCEPTS INVOLVED IN AUTOMATED PATTERN RECOGNITION. IT IS DESIGNED TO BE
ACCESSIBLE TO NEWCOMERS FROM VARIED BACKGROUNDS, BUT IT WILL ALSO BE
USEFUL TO RESEARCHERS AND PROFESSIONALS IN IMAGE AND SIGNAL PROCESSING
AND ANALYSIS, AND IN COMPUTER VISION. FUNDAMENTAL CONCEPTS OF SUPERVISED
AND UNSUPERVISED CLASSIFICATION ARE PRESENTED IN AN INFORMAL, RATHER
THAN AXIOMATIC, TREATMENT SO THAT THE READER CAN QUICKLY ACQUIRE THE
NECESSARY BACKGROUND FOR APPLYING THE CONCEPTS TO REAL PROBLEMS. MORE
ADVANCED TOPICS, SUCH AS ESTIMATING CLASSIFIER PERFORMANCE AND COMBINING
CLASSIFIERS, AND DETAILS OF PARTICULAR PROJECT APPLICATIONS ARE
ADDRESSED IN THE LATER CHAPTERS. THIS BOOK IS SUITABLE FOR
UNDERGRADUATES AND GRADUATES STUDYING PATTERN RECOGNITION AND MACHINE
LEARNING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| indexdate | 2024-07-10T00:25:41Z |
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| isbn | 9781461453239 |
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| spelling | Dougherty, Geoff 1950- Verfasser (DE-588)137895836 aut Pattern Recognition and Classification an Introduction Geoff Dougherty New York, NY [u.a.] Springer 2013 1 Online-Ressource (XI, 196 S.) Ill., graph. Darst. txt rdacontent c rdamedia cr rdacarrier Informatik Mustererkennung (DE-588)4040936-3 gnd rswk-swf Automatische Klassifikation (DE-588)4120957-6 gnd rswk-swf Computer science Optical pattern recognition BiologyxData processing Algorithms Automatische Klassifikation (DE-588)4120957-6 s Mustererkennung (DE-588)4040936-3 s DE-604 Erscheint auch als Druckausgabe 978-1-461-45322-2 https://doi.org/10.1007/978-1-4614-5323-9 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025368705&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025368705&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Dougherty, Geoff 1950- Pattern Recognition and Classification an Introduction Informatik Mustererkennung (DE-588)4040936-3 gnd Automatische Klassifikation (DE-588)4120957-6 gnd |
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| title | Pattern Recognition and Classification an Introduction |
| title_auth | Pattern Recognition and Classification an Introduction |
| title_exact_search | Pattern Recognition and Classification an Introduction |
| title_full | Pattern Recognition and Classification an Introduction Geoff Dougherty |
| title_fullStr | Pattern Recognition and Classification an Introduction Geoff Dougherty |
| title_full_unstemmed | Pattern Recognition and Classification an Introduction Geoff Dougherty |
| title_short | Pattern Recognition and Classification |
| title_sort | pattern recognition and classification an introduction |
| title_sub | an Introduction |
| topic | Informatik Mustererkennung (DE-588)4040936-3 gnd Automatische Klassifikation (DE-588)4120957-6 gnd |
| topic_facet | Informatik Mustererkennung Automatische Klassifikation |
| url | https://doi.org/10.1007/978-1-4614-5323-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025368705&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025368705&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT doughertygeoff patternrecognitionandclassificationanintroduction |