Verfügbarkeit: Bridging the gap between graph edit distance and Kernel machines

Bridging the gap between graph edit distance and Kernel machines:

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Bibliographische Detailangaben
Hauptverfasser:	Neuhaus, Michel (VerfasserIn), Bunke, Horst (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Singapore [u.a.] World Scientific 2007
Schriftenreihe:	Series in machine perception and artificial intelligence 68
Schlagworte:	Kerndarstellung Künstliche Intelligenz Maschinelles Lernen Musteranalyse Mustererkennung Graph theory Kernel functions Machine learning Matching theory Pattern recognition systems
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	Literaturverz. S. 221 - 230
Beschreibung:	XI, 232 S. Ill., graph. Darst.
ISBN:	9789812708175 9812708170

Internformat

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Datensatz im Suchindex

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adam_text	SERIES IN MACHINE PERCEPTION AND ARTIFICIAL INTELLIGENCE - VOL 68 BRIDGING THE GAP BETWEEN GRAPH EDIT DISTANCE AND KERNEL MACHINES MICHEL NEUHAUS HORST BUNKC UNIVERSITY OF BERN, SWITZERLAND YJ? WORLD SCIENTIFIC NEWJERSEY * LONDON * SINGAPORE * BEIJING * SHANGHAI * HONG KONG * TAIPEI * CHENNA CONTENTS PREFACE VII 1. INTRODUCTION 1 2. GRAPH MATCHING 7 2.1 GRAPH AND SUBGRAPH 9 2.2 EXACT GRAPH MATCHING 10 2.3 ERROR-TOLERANT GRAPH MATCHING 16 3. GRAPH EDIT DISTANCE 21 3.1 DEFINITION 22 3.2 EDIT COST FUNCTIONS 26 3.2.1 CONDITIONS ON EDIT COSTS 26 3.2.2 EXAMPLES OF EDIT COSTS 27 3.3 EXACT ALGORITHM 29 3.4 EFFICIENT APPROXIMATE ALGORITHM 31 3.4.1 ALGORITHM 31 3.4.2 EXPERIMENTAL RESULTS 35 3.5 QUADRATIC PROGRAMMING ALGORITHM 39 3.5.1 ALGORITHM 40 3.5.2 EXPERIMENTAL RESULTS 47 3.6 NEAREST-NEIGHBOR CLASSIFICATION 48 3.7 AN APPLICATION: DATA-LEVEL FUSION OF GRAPHS 49 3.7.1 FUSION OF GRAPHS 50 3.7.2 EXPERIMENTAL RESULTS 52 IX X BRIDGING THE GAP BETWEEN GRAPH EDIT DISTANCE AND KERNEL MACHINES 4. KERNEL MACHINES 57 4.1 LEARNING THEORY 58 4.1.1 EMPIRICAL RISK MINIMIZATION 59 4.1.2 STRUCTURAL RISK MINIMIZATION 61 4.2 KERNEL FUNCTIONS 68 4.2.1 VALID KERNELS 68 4.2.2 FEATURE SPACE EMBEDDING AND KERNEL TRICK ... 70 4.3 KERNEL MACHINES 74 4.3.1 SUPPORT VECTOR MACHINE 75 4.3.2 KERNEL PRINCIPAL COMPONENT ANALYSIS 79 4.3.3 KERNEL FISHER DISCRIMINANT ANALYSIS 82 4.3.4 USING NON-POSITIVE DEFINITE KERNEL FUNCTIONS . . 84 4.4 NEAREST-NEIGHBOR CLASSIFICATION REVISITED 85 5. GRAPH KERNELS 89 5.1 KERNEL MACHINES FOR GRAPH MATCHING 90 5.2 RELATED WORK 94 5.3 TRIVIAL SIMILARITY KERNEL FROM EDIT DISTANCE 95 5.4 KERNEL FROM MAXIMUM-SIMILARITY EDIT PATH 97 5.5 DIFFUSION KERNEL FROM EDIT DISTANCE 99 5.6 ZERO GRAPH KERNEL FROM EDIT DISTANCE 102 5.7 CONVOLUTION EDIT KERNEL 107 5.8 LOCAL MATCHING KERNEL 115 5.9 RANDOM WALK EDIT KERNEL 119 6. EXPERIMENTAL RESULTS 129 6.1 LINE DRAWING AND IMAGE GRAPH DATA SETS 130 6.1.1 LETTER LINE DRAWING GRAPHS 130 6.1.2 IMAGE GRAPHS 132 6.1.3 DIATOM GRAPHS 133 6.2 FINGERPRINT GRAPH DATA SET 134 6.2.1 BIOMETRIE PERSON AUTHENTICATION 134 6.2.2 FINGERPRINT CLASSIFICATION 135 6.2.3 FINGERPRINT GRAPHS 137 6.3 MOLECULE GRAPH DATA SET 143 6.4 EXPERIMENTAL SETUP 146 6.5 EVALUATION OF GRAPH EDIT DISTANCE 147 6.5.1 LETTER GRAPHS 148 CONTENTS XI 6.5.2 IMAGE GRAPHS 151 6.5.3 DIATOM GRAPHS 153 6.5.4 FINGERPRINT GRAPHS 154 6.5.5 MOLECULE GRAPHS 158 6.6 EVALUATION OF GRAPH KERNELS 160 6.6.1 TRIVIAL SIMILARITY KERNEL FROM EDIT DISTANCE . . . 160 6.6.2 KERNEL FROM MAXIMUM-SIMILARITY EDIT PATH . . . 162 6.6.3 DIFFUSION KERNEL FROM EDIT DISTANCE 163 6.6.4 ZERO GRAPH KERNEL FROM EDIT DISTANCE 166 6.6.5 CONVOLUTION EDIT KERNEL 168 6.6.6 LOCAL MATCHING KERNEL 172 6.6.7 RANDOM WALK EDIT KERNEL 173 6.7 SUMMARY AND DISCUSSION 176 7. CONCLUSIONS 185 APPENDIX A GRAPH DATA SETS 193 A.L LETTER DATA SET 193 A.2 IMAGE DATA SET 199 A.3 DIATOM DATA SET 204 A.4 FINGERPRINT DATA SET 212 A.5 MOLECULE DATA SET 215 BIBLIOGRAPHY 221 INDEX 231
adam_txt	SERIES IN MACHINE PERCEPTION AND ARTIFICIAL INTELLIGENCE - VOL 68 BRIDGING THE GAP BETWEEN GRAPH EDIT DISTANCE AND KERNEL MACHINES MICHEL NEUHAUS HORST BUNKC UNIVERSITY OF BERN, SWITZERLAND YJ? WORLD SCIENTIFIC NEWJERSEY * LONDON * SINGAPORE * BEIJING * SHANGHAI * HONG KONG * TAIPEI * CHENNA CONTENTS PREFACE VII 1. INTRODUCTION 1 2. GRAPH MATCHING 7 2.1 GRAPH AND SUBGRAPH 9 2.2 EXACT GRAPH MATCHING 10 2.3 ERROR-TOLERANT GRAPH MATCHING 16 3. GRAPH EDIT DISTANCE 21 3.1 DEFINITION 22 3.2 EDIT COST FUNCTIONS 26 3.2.1 CONDITIONS ON EDIT COSTS 26 3.2.2 EXAMPLES OF EDIT COSTS 27 3.3 EXACT ALGORITHM 29 3.4 EFFICIENT APPROXIMATE ALGORITHM 31 3.4.1 ALGORITHM 31 3.4.2 EXPERIMENTAL RESULTS 35 3.5 QUADRATIC PROGRAMMING ALGORITHM 39 3.5.1 ALGORITHM 40 3.5.2 EXPERIMENTAL RESULTS 47 3.6 NEAREST-NEIGHBOR CLASSIFICATION 48 3.7 AN APPLICATION: DATA-LEVEL FUSION OF GRAPHS 49 3.7.1 FUSION OF GRAPHS 50 3.7.2 EXPERIMENTAL RESULTS 52 IX X BRIDGING THE GAP BETWEEN GRAPH EDIT DISTANCE AND KERNEL MACHINES 4. KERNEL MACHINES 57 4.1 LEARNING THEORY 58 4.1.1 EMPIRICAL RISK MINIMIZATION 59 4.1.2 STRUCTURAL RISK MINIMIZATION 61 4.2 KERNEL FUNCTIONS 68 4.2.1 VALID KERNELS 68 4.2.2 FEATURE SPACE EMBEDDING AND KERNEL TRICK . 70 4.3 KERNEL MACHINES 74 4.3.1 SUPPORT VECTOR MACHINE 75 4.3.2 KERNEL PRINCIPAL COMPONENT ANALYSIS 79 4.3.3 KERNEL FISHER DISCRIMINANT ANALYSIS 82 4.3.4 USING NON-POSITIVE DEFINITE KERNEL FUNCTIONS . . 84 4.4 NEAREST-NEIGHBOR CLASSIFICATION REVISITED 85 5. GRAPH KERNELS 89 5.1 KERNEL MACHINES FOR GRAPH MATCHING 90 5.2 RELATED WORK 94 5.3 TRIVIAL SIMILARITY KERNEL FROM EDIT DISTANCE 95 5.4 KERNEL FROM MAXIMUM-SIMILARITY EDIT PATH 97 5.5 DIFFUSION KERNEL FROM EDIT DISTANCE 99 5.6 ZERO GRAPH KERNEL FROM EDIT DISTANCE 102 5.7 CONVOLUTION EDIT KERNEL 107 5.8 LOCAL MATCHING KERNEL 115 5.9 RANDOM WALK EDIT KERNEL 119 6. EXPERIMENTAL RESULTS 129 6.1 LINE DRAWING AND IMAGE GRAPH DATA SETS 130 6.1.1 LETTER LINE DRAWING GRAPHS 130 6.1.2 IMAGE GRAPHS 132 6.1.3 DIATOM GRAPHS 133 6.2 FINGERPRINT GRAPH DATA SET 134 6.2.1 BIOMETRIE PERSON AUTHENTICATION 134 6.2.2 FINGERPRINT CLASSIFICATION 135 6.2.3 FINGERPRINT GRAPHS 137 6.3 MOLECULE GRAPH DATA SET 143 6.4 EXPERIMENTAL SETUP 146 6.5 EVALUATION OF GRAPH EDIT DISTANCE 147 6.5.1 LETTER GRAPHS 148 CONTENTS XI 6.5.2 IMAGE GRAPHS 151 6.5.3 DIATOM GRAPHS 153 6.5.4 FINGERPRINT GRAPHS 154 6.5.5 MOLECULE GRAPHS 158 6.6 EVALUATION OF GRAPH KERNELS 160 6.6.1 TRIVIAL SIMILARITY KERNEL FROM EDIT DISTANCE . . . 160 6.6.2 KERNEL FROM MAXIMUM-SIMILARITY EDIT PATH . . . 162 6.6.3 DIFFUSION KERNEL FROM EDIT DISTANCE 163 6.6.4 ZERO GRAPH KERNEL FROM EDIT DISTANCE 166 6.6.5 CONVOLUTION EDIT KERNEL 168 6.6.6 LOCAL MATCHING KERNEL 172 6.6.7 RANDOM WALK EDIT KERNEL 173 6.7 SUMMARY AND DISCUSSION 176 7. CONCLUSIONS 185 APPENDIX A GRAPH DATA SETS 193 A.L LETTER DATA SET 193 A.2 IMAGE DATA SET 199 A.3 DIATOM DATA SET 204 A.4 FINGERPRINT DATA SET 212 A.5 MOLECULE DATA SET 215 BIBLIOGRAPHY 221 INDEX 231
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author	Neuhaus, Michel Bunke, Horst
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spelling	Neuhaus, Michel Verfasser aut Bridging the gap between graph edit distance and Kernel machines Michel Neuhaus ; Horst Bunke Singapore [u.a.] World Scientific 2007 XI, 232 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Series in machine perception and artificial intelligence 68 Literaturverz. S. 221 - 230 Kerndarstellung swd Künstliche Intelligenz swd Maschinelles Lernen swd Musteranalyse swd Mustererkennung swd Graph theory Kernel functions Machine learning Matching theory Pattern recognition systems Bunke, Horst Verfasser aut Series in machine perception and artificial intelligence 68 (DE-604)BV006668231 68 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016317029&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Neuhaus, Michel Bunke, Horst Bridging the gap between graph edit distance and Kernel machines Series in machine perception and artificial intelligence Kerndarstellung swd Künstliche Intelligenz swd Maschinelles Lernen swd Musteranalyse swd Mustererkennung swd Graph theory Kernel functions Machine learning Matching theory Pattern recognition systems
title	Bridging the gap between graph edit distance and Kernel machines
title_auth	Bridging the gap between graph edit distance and Kernel machines
title_exact_search	Bridging the gap between graph edit distance and Kernel machines
title_exact_search_txtP	Bridging the gap between graph edit distance and Kernel machines
title_full	Bridging the gap between graph edit distance and Kernel machines Michel Neuhaus ; Horst Bunke
title_fullStr	Bridging the gap between graph edit distance and Kernel machines Michel Neuhaus ; Horst Bunke
title_full_unstemmed	Bridging the gap between graph edit distance and Kernel machines Michel Neuhaus ; Horst Bunke
title_short	Bridging the gap between graph edit distance and Kernel machines
title_sort	bridging the gap between graph edit distance and kernel machines
topic	Kerndarstellung swd Künstliche Intelligenz swd Maschinelles Lernen swd Musteranalyse swd Mustererkennung swd Graph theory Kernel functions Machine learning Matching theory Pattern recognition systems
topic_facet	Kerndarstellung Künstliche Intelligenz Maschinelles Lernen Musteranalyse Mustererkennung Graph theory Kernel functions Machine learning Matching theory Pattern recognition systems
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016317029&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV006668231
work_keys_str_mv	AT neuhausmichel bridgingthegapbetweengrapheditdistanceandkernelmachines AT bunkehorst bridgingthegapbetweengrapheditdistanceandkernelmachines

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