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EnglishIn this paper, we examine the main advances registered in the last ten years in Pattern Recognition methodologies based on graph matching and related techniques, analyzing more than 180 papers; the aim is to provide a systematic framework presenting the recent history and the current developments. This is made by introducing a categorization of graph-based techniques and reporting, for each class, the main contributions and the most outstanding research results.
http://hdl.handle.net/11386/4275053| Titolo: | GRAPH MATCHING AND LEARNING IN PATTERN RECOGNITION IN THE LAST 10 YEARS |
| Autori interni: | FOGGIA, PASQUALE PERCANNELLA, Gennaro VENTO, Mario |
| Data di pubblicazione: | 2014 |
| Rivista: | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
| Abstract: | In this paper, we examine the main advances registered in the last ten years in Pattern Recognition methodologies based on graph matching and related techniques, analyzing more than 180 papers; the aim is to provide a systematic framework presenting the recent history and the current developments. This is made by introducing a categorization of graph-based techniques and reporting, for each class, the main contributions and the most outstanding research results. |
| Handle: | http://hdl.handle.net/11386/4275053 |
| Appare nelle tipologie: | 1.1.2 Articolo su rivista con ISSN |
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