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Combination of Structural and Factual Descriptors for Document Stream Segmentation
Overview
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Cited by 9
Research works printed but not linked: 13
- shin, 2006, Document image retrieval based on layout structural similarity, Internation Conference on Image Processing, 606
- shin, 2001, Classification of document pages using structure-based feature, Internal Journal on Document Analysis and Recognition, 232, 10.1007/PL00013566 · DOI
- 10.1007/978-1-84628-754-1_8 · DOI
- collins-thompson, 2002, A clustering-based algorithm for automatic document separation, Proceedings of the Special Interest Group on Information Retrieval, 38
- 10.1109/ICPR.2014.176 · DOI · Paper page
- gordo, 2013, Document Classication and Page Stream Segmentation for Digital Mailroom Applications, Internal Journal on Document Analysis and Recognition, 621
- kumar, 2012, Learning Document Structure for Retrieval and Classication, Internation Conference on Pattern Recognition, 1558
- niklas, 2010, Unsupervised Post-Correction of OCR Errors
- 10.1109/ICDAR.2013.126 · DOI
- 10.1117/12.805646 · DOI
- 10.1109/ICPR.2010.473 · DOI
- furcy, 2005, Limited Discrepancy Beam Search, International Joint Conference on Artificial Intelligence, 125
- rusiñol, 2012, Multi-page document retrieval by textual and visual representations, International Conference on Pattern Recognition, 521
Metadata
- Authors
- Karpinski, R., & Belaid, A.
- Venue
- 2016 12th IAPR Workshop on Document Analysis Systems (DAS)
- Publisher
- IEEE
- Published
- 2016-04
- Pages
- 221-226
- Cited by
- 9
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Combination of Structural and Factual Descriptors for Document Stream Segmentation. https://app.cochat.ai/papers/10.1109/das.2016.21
- The paper
- Karpinski, R., & Belaid, A. (2016). Combination of Structural and Factual Descriptors for Document Stream Segmentation. 2016 12th IAPR Workshop on Document Analysis Systems (DAS). https://doi.org/10.1109/das.2016.21
