Large-scale graph indexing using binary embeddings of node contexts

Pau Riba; Josep Lladós; Alicia Fornés; Anjan Dutta

doi:10.1007/978-3-319-18224-7_21

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Large-scale graph indexing using binary embeddings of node contexts

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Large-scale graph indexing using binary embeddings of node contexts

Pau Riba, Josep Lladós, Alicia Fornés and Anjan Dutta

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.9069, pp.208-217

2015

DOI: https://doi.org/10.1007/978-3-319-18224-7_21

Abstract

Application in document analysis

Binary embedding

Graph indexing

Graph matching

Word spotting

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Title: Large-scale graph indexing using binary embeddings of node contexts
Creators: Pau Riba - Universitat Autònoma de Barcelona
Josep Lladós - Universitat Autònoma de Barcelona
Alicia Fornés - Universitat Autònoma de Barcelona
Anjan Dutta - Universitat Autònoma de Barcelona
Publication Details: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.9069, pp.208-217
Number of pages: 10
Publication Date: 2015
Grant note: ERC-2010-AdG-20100407-269796 / European Research Council
Identifiers: 991109878902346
Academic Unit: School of Veterinary Medicine
Language: English
Resource Type: Conference proceeding

Large-scale graph indexing using binary embeddings of node contexts

Abstract

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