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Author | Albert Gordo; Jaume Gibert; Ernest Valveny; Marçal Rusiñol | ||||
Title | A Kernel-based Approach to Document Retrieval | Type | Conference Article | ||
Year | 2010 | Publication | 9th IAPR International Workshop on Document Analysis Systems | Abbreviated Journal | |
Volume | Issue | Pages | 377–384 | ||
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Abstract | In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain class. The membership probability to a specific class is computed using Support Vector Machines in conjunction with similarity measure based kernel applied to structural document representations. In the presented experiments, we use different document representations, both visual and structural, and we apply them to a database of historical documents. We show how our method based on similarity kernels outperforms the usual distance-based retrieval. | ||||
Address | Boston; USA; | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
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Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-60558-773-8 | Medium | ||
Area | Expedition | Conference | DAS | ||
Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ GGV2010 | Serial | 1431 | ||
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