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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text ... Zhu, Enwei; Sheng, Qilin; Yang, Huanwan. - : arXiv, 2022 BASE Show details 2 Needs and rights awareness of stroke survivors and caregivers in urban and rural China: a cross-sectional, multiple-centre questionnaire survey Xia, Xiaoshuang; Tian, Xiaolin; Zhang, Tianli. - : BMJ Publishing Group Ltd, 2019 BASE Show details 3 Needs and rights awareness of stroke survivors and caregivers in urban and rural China: a cross-sectional, multiple-centre questionnaire survey Xia, Xiaoshuang; Tian, Xiaolin; Zhang, Tianli. - : BMJ Publishing Group, 2019 BASE Show details 4 Quantifying spatial relations to discover handwritten graphical symbols Li, Jinpeng; Mouchère, Harold; Viard-Gaudin, Christian In: Proceedings of Document Recognition and Retrieval XIX (DRR 2012) ; Document Recognition and Retrieval XIX, Part of the IS&T/SPIE 24th Annual Symposium on Electronic Imaging ; https://hal.archives-ouvertes.fr/hal-00672002 ; Document Recognition and Retrieval XIX, Part of the IS&T/SPIE 24th Annual Symposium on Electronic Imaging, Jan 2012, San Francisco, United States (2012) BASE Show details 5 Symbol Knowledge Extraction from a Simple Graphical Language Li, Jinpeng; Mouchère, Harold; Viard-Gaudin, Christian In: Proceedings of the 11th International Conference on Document Analysis and Recognition ; 11th International Conference on Document Analysis and Recognition, ICDAR 2011 ; https://hal.archives-ouvertes.fr/hal-00615208 ; 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Sep 2011, Beijing, China (2011) Abstract: International audience ; In this paper, we study the problem of symbol knowledge extraction. We assume that some unknown symbols are used to compose a handwritten message, and from a dataset of handwritten samples, we would like to recover the symbol set used in the corresponding language. We applied our approach on online handwriting, and select the domain of numerical expressions, mixing digits and operators, to test the ability to retrieve the corresponding symbol classes. The proposed method is based on three steps: a quantization of the stroke space, a description of the layout of strokes with a relational graph, and the extraction of an optimal lexicon using a minimum description length algorithm. At the symbol level, a recall rate of 74% is obtained on the test dataset produced by 100 writers. Keyword: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; knowledge extraction; minimum description length; online handwriting; spatial relation URL: https://hal.archives-ouvertes.fr/hal-00615208 BASE Hide details

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