Eléments de l'association
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List of bibliographic references
Number of relevant bibliographic references: 13.| Ident. | Authors (with country if any) | Title |
|---|---|---|
| 000390 | Elisa H. Barney Smith [États-Unis] ; Bart Lamiroy [France] | Effects of Clustering Algorithms on Typographic Reconstruction |
| 000630 | Bart Lamiroy [France] ; Eric Ringger [États-Unis] | Document Recognition and Retrieval XXII |
| 000D77 | Santosh K. C. [États-Unis] ; Laurent Wendling [France] ; Bart Lamiroy [France] | BoR: Bag-of-Relations for Symbol Retrieval |
| 001614 | Bart Lamiroy [France] ; Tao Sun [États-Unis] | Computing Precision and Recall with Missing or Uncertain Ground Truth |
| 001B89 | Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] | The Non-Geek's Guide to the DAE Platform |
| 002114 | Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] ; Tao Sun [États-Unis] | Document Analysis Algorithm Contributions in End-to-End Applications: Report on the ICDAR 2011 Contest |
| 002116 | Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] | An Open Architecture for End-to-End Document Analysis Benchmarking |
| 002118 | Jin Chen [États-Unis] ; Daniel Lopresti [États-Unis] ; Bart Lamiroy [France] | A Real-World Noisy Unstructured Handwritten Notebook Corpus for Document Image Analysis Research |
| 002125 | Bart Lamiroy [France] ; Tao Sun [États-Unis] | Precision and Recall Without Ground Truth |
| 002475 | Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] ; Hank Korth [États-Unis] ; Jeff Heflin [États-Unis] | How Carefully Designed Open Resource Sharing Can Help and Expand Document Analysis Research |
| 002714 | Daniel Lopresti [États-Unis] ; Bart Lamiroy [France] | Document Analysis Research in the Year 2021 |
| 002811 | Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] ; Hank Korth [États-Unis] ; Jeff Heflin [États-Unis] | How Carefully Designed Open Resource Sharing Can Help and Expand Document Analysis Research |
| 002993 | Bart Lamiroy [France] ; Daniel Lopresti [États-Unis] | A Platform for Storing, Visualizing, and Interpreting Collections of Noisy Documents |
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