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Bridging the gap between graph edit distance and kernel machines /
In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition of patterns in the graph domain - commonly referred to as graph matching. A large number of methods for graph matching have been proposed. Graph edit distance, for in...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore ; Hackensack, NJ :
World Scientific Pub.,
©2007.
|
| Colección: | Series in machine perception and artificial intelligence ;
v. 68. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Neuhaus, Michel. | |
| 245 | 1 | 0 | |a Bridging the gap between graph edit distance and kernel machines / |c Michel Neuhaus, Horst Bunke. |
| 260 | |a Singapore ; |a Hackensack, NJ : |b World Scientific Pub., |c ©2007. | ||
| 300 | |a 1 online resource (xi, 232 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 490 | 1 | |a Series in machine perception and artificial intelligence ; |v v. 68 | |
| 504 | |a Includes bibliographical references (pages 221-230) and index. | ||
| 505 | 0 | |a 1. Introduction -- 2. Graph matching -- 3. Graph edit distance -- 4. Kernel machines -- 5. Graph kernels -- 6. Experimental results -- 7. Conclusions. | |
| 520 | |a In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition of patterns in the graph domain - commonly referred to as graph matching. A large number of methods for graph matching have been proposed. Graph edit distance, for instance, defines the dissimilarity of two graphs by the amount of distortion that is needed to transform one graph into the other and is considered one of the most flexible methods for error-tolerant graph matching. This book focuses on graph kernel functions that are highly tolerant towards structura. | ||
| 540 | |a Current Copyright Fee: GBP17.50 |c 0. |5 Uk | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Kernel functions. | |
| 650 | 0 | |a Matching theory. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Graph theory. | |
| 650 | 2 | |a Pattern Recognition, Automated | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Noyaux (Mathématiques) | |
| 650 | 6 | |a Théorie du couplage. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a SCIENCE |x System Theory. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Operations Research. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Graph theory |2 fast | |
| 650 | 7 | |a Kernel functions |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Matching theory |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
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| 650 | 7 | |a Maschinelles Lernen |2 gnd | |
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| 650 | 7 | |a Mustererkennung |2 gnd | |
| 700 | 1 | |a Bunke, Horst. | |
| 758 | |i has work: |a Bridging the gap between graph edit distance and kernel machines (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG3G4kbQWMTGDJxp4gFvVC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Neuhaus, Michel. |t Bridging the gap between graph edit distance and kernel machines. |d Singapore ; Hackensack, NJ : World Scientific Pub., ©2007 |z 9789812708175 |w (OCoLC)166388136 |
| 830 | 0 | |a Series in machine perception and artificial intelligence ; |v v. 68. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1193191 |z Texto completo |
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