The DOI matches its Crossref record; the references it cites are not checked yet.
Document Classification and Page Stream Segmentation for Digital Mailroom Applications
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
The citation lists haven’t been fetched yet
Cited by 14
Research works printed but not linked: 18
- gordo, 2012, Large-scale document image retrieval and classification with runlength histograms and binary embeddings, Pattern Recognition
- fan, 2008, LIBLINEAR: A library for large linear classification, Journal of Machine Learning Research, 9, 1871
- scheirer, 2012, Multiattribute spaces: Calibration for attribute fusion and similarity search, Computer Vision and Pattern Recognition
- 10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9 · DOI
- perronnin, 2010, Improving the fisher kernel for large-scale image classification, European Conference on Computer Vision
- 10.1162/089976698300017467 · DOI
- 10.1109/ICPR.2010.473 · DOI
- rusinol, 2012, Multipage document retrieval by textual and visual representations, International Conference on Pattern Recognition, 521
- schmidtler, 2006, Automatic document separation: A combination of probabilistic classification and finite-state sequence modeling, Natural Language Processing and Text Mining, 123
- moore, 2012, Document Separation by Document Sequence Reconstruction Based on Information Capture
- ragnet, 2011, Method for One-step Document Categorization and Separation
- 10.1117/12.805646 · DOI
- 10.1109/TMM.2008.2001374 · DOI
- 10.1109/TMM.2005.861285 · DOI
- 10.1016/j.cviu.2009.03.011 · DOI
- 10.3115/974557.974561 · DOI
- platt, 1999, Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods, Advances in Large Margin Classifiers, 10, 61
- collins-thompson, 2002, A clustering-based algorithm for automatic document separation, SIGIR 2002 Workshop on Information Retrieval and OCR From Converting Content to Grasping Meaning
Metadata
- Authors
- Gordo, A., Rusinol, M., Karatzas, D., & Bagdanov, A. D.
- Venue
- 2013 12th International Conference on Document Analysis and Recognition
- Publisher
- IEEE
- Published
- 2013-08
- Pages
- 621-625
- Cited by
- 14
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Document Classification and Page Stream Segmentation for Digital Mailroom Applications. https://app.cochat.ai/papers/10.1109/icdar.2013.128
- The paper
- Gordo, A., Rusinol, M., Karatzas, D., & Bagdanov, A. D. (2013). Document Classification and Page Stream Segmentation for Digital Mailroom Applications. 2013 12th International Conference on Document Analysis and Recognition. https://doi.org/10.1109/icdar.2013.128