Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions
暂无分享,去创建一个
[1] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[2] Jun Du,et al. Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[3] Masaki Nakagawa,et al. A system for recognizing online handwritten mathematical expressions by using improved structural analysis , 2016, International Journal on Document Analysis and Recognition (IJDAR).
[4] George Labahn,et al. A new approach for recognizing handwritten mathematics using relational grammars and fuzzy sets , 2013, International Journal on Document Analysis and Recognition (IJDAR).
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] Alexander M. Rush,et al. Image-to-Markup Generation with Coarse-to-Fine Attention , 2016, ICML.
[7] Ting Zhang,et al. Using BLSTM for interpretation of 2-D languages. Case of handwritten mathematical expressions , 2016, Document Numérique.
[8] Réjean Plamondon,et al. Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey , 2018, Pattern Recognit..
[9] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[10] Masaki Nakagawa,et al. Training an End-to-End System for Handwritten Mathematical Expression Recognition by Generated Patterns , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[11] Harold Mouchère,et al. ICDAR 2013 CROHME: Third International Competition on Recognition of Online Handwritten Mathematical Expressions , 2013, 2013 12th International Conference on Document Analysis and Recognition.
[12] Lei Hu,et al. MST-based Visual Parsing of Online Handwritten Mathematical Expressions , 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).
[13] Ka-Chung Leung,et al. Recognition of Handwritten Chinese Characters by Combining Regularization, Fisher's Discriminant and Distorted Sample Generation , 2009, 2009 10th International Conference on Document Analysis and Recognition.
[14] Shiliang Zhang,et al. Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition , 2017, Pattern Recognit..
[15] Dit-Yan Yeung,et al. Mathematical expression recognition: a survey , 2000, International Journal on Document Analysis and Recognition.
[16] Harold Mouchère,et al. ICFHR2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions , 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).
[17] Joan-Andreu Sánchez,et al. Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models , 2014, Pattern Recognit. Lett..
[18] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[19] Réjean Plamondon. A delta-lognormal model for handwriting generation , 1995 .
[20] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[21] Richard Zanibbi,et al. Recognition and retrieval of mathematical expressions , 2011, International Journal on Document Analysis and Recognition (IJDAR).
[22] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[23] Harold Mouchère,et al. A global learning approach for an online handwritten mathematical expression recognition system , 2014, Pattern Recognit. Lett..
[24] Harold Mouchère,et al. ICFHR 2014 Competition on Recognition of On-Line Handwritten Mathematical Expressions (CROHME 2014) , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.