Inexact graph matching using eigen-subspace projection clustering Caelli, Terry and Kosinov, Serhiy 2004, Inexact graph matching using eigen-subspace projection clustering, International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 3, pp. 329-354, doi: 10.1142/S0218001404003186. Title Inexact graph matching using eigen-subspace projection clustering Author(s) Caelli, Terry orcid.org/0000-0001-9281-2556 Kosinov, Serhiy Journal name International Journal of Pattern Recognition and Artificial Intelligence Volume number 18 Issue number 3 Start page 329 End page 354 Total pages 26 Publisher WORLD SCIENTIFIC PUBL CO PTE LTD Publication date 2004-05-01 ISSN 0218-0014 1793-6381 Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science inexact graph matching eigendecomposition eigen-subspace projections correspondence clustering shape matching relational information retrieval ALGORITHM ISOMORPHISM Summary Graph eigenspaces have been used to encode many different properties of graphs. In this paper we explore how such methods can be used for solving inexact graph matching (the matching of sets of vertices in one graph to those in another) having the same or different numbers of vertices. In this case we explore eigen-subspace projections and vertex clustering (EPS) methods. The correspondence algorithm enables the EPC method to discover a range of correspondence relationships from one-to-one vertex matching to that of inexact (many-to-many) matching of structurally similar subgraphs based on the similarities of their vertex connectivities defined by their positions in the common subspace. Examples in shape recognition and random graphs are used to illustrate this method. Language eng DOI 10.1142/S0218001404003186 Indigenous content off Field of Research 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30138431 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 08 Jun 2020, 14:56:42 EST Tue, 09 Jun 2020, 05:03:00 EST Tue, 09 Jun 2020, 06:05:59 EST Thu, 22 Oct 2020, 09:33:42 EST Thu, 22 Oct 2020, 09:35:14 EST Filtered Full Citation counts:   Cited 21 times in TR Web of Science Cited 24 times in Scopus Search Google Scholar Access Statistics: 32 Abstract Views  -  Detailed Statistics Created: Mon, 08 Jun 2020, 14:56:42 EST

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