Clustering online handwritten mathematical expressions
暂无分享,去创建一个
Cuong Tuan Nguyen | Masaki Nakagawa | Khanh Minh Phan | Vu Tran Minh Khuong | Huy Q. Ung | Huy Quang Ung | M. Nakagawa | C. Nguyen | K. Phan | H. Ung
[1] 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).
[2] Hung Tuan Nguyen,et al. CNN based spatial classification features for clustering offline handwritten mathematical expressions , 2020, Pattern Recognit. Lett..
[3] Sumit Basu,et al. Divide and correct: using clusters to grade short answers at scale , 2014, L@S.
[4] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[5] Jun Tan,et al. Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[6] Rohini K. Srihari,et al. Automatic scoring of short handwritten essays in reading comprehension tests , 2008, Artif. Intell..
[7] Michel Verleysen,et al. The Concentration of Fractional Distances , 2007, IEEE Transactions on Knowledge and Data Engineering.
[8] Pieter Abbeel,et al. Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work , 2017, L@S.
[9] Masaki Nakagawa,et al. A System for Recognizing Online Handwritten Mathematical Expressions and Improvement of Structure Analysis , 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.
[10] Ted Briscoe,et al. Constrained Multi-Task Learning for Automated Essay Scoring , 2016, ACL.
[11] John A. Hartigan,et al. Clustering Algorithms , 1975 .
[12] Garrison W. Cottrell,et al. A Deep Siamese Neural Network Learns the Human-Perceived Similarity Structure of Facial Expressions Without Explicit Categories , 2016, CogSci.
[13] Jun Du,et al. Track, Attend, and Parse (TAP): An End-to-End Framework for Online Handwritten Mathematical Expression Recognition , 2019, IEEE Transactions on Multimedia.
[14] Joseph J. LaViola,et al. A usability evaluation of AlgoSketch: a pen-based application for mathematics , 2009, SBIM '09.
[15] Harold Mouchère,et al. ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[16] Sumit Basu,et al. Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading , 2013, TACL.
[17] Rui Zhao,et al. Fuzzy Bag-of-Words Model for Document Representation , 2018, IEEE Transactions on Fuzzy Systems.
[18] Salvatore Valenti,et al. An Overview of Current Research on Automated Essay Grading , 2003, J. Inf. Technol. Educ..
[19] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[20] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[21] Doaa Mohey El-Din. Enhancement Bag-of-Words Model for Solving the Challenges of Sentiment Analysis , 2016 .
[22] Joseph J. LaViola,et al. MathPad2: a system for the creation and exploration of mathematical sketches , 2004, SIGGRAPH 2004.
[23] Lingfeng Wang,et al. Deep Adaptive Image Clustering , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[24] Mahshad Mahdavi. Tree-Based Structure Recognition Evaluation for Math Expressions : Techniques and Case Study , 2019 .
[25] Cuong Tuan Nguyen,et al. Online Handwritten Mathematical Symbol Segmentation and Recognition with Bidirectional Context , 2020, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR).
[26] Tsunenori Ishioka,et al. Automated Japanese essay scoring system:jess , 2004, Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004..
[27] Masaki Nakagawa,et al. Generating Synthetic Handwritten Mathematical Expressions from a LaTeX Sequence or a MathML Script , 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).
[28] Kazuhiko Yamamoto,et al. Research on Machine Recognition of Handprinted Characters , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Ching Y. Suen,et al. Historical review of OCR research and development , 1992, Proc. IEEE.
[30] Dit-Yan Yeung,et al. PenCalc: a novel application of on-line mathematical expression recognition technology , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.
[31] James Bailey,et al. Document clustering of scientific texts using citation contexts , 2010, Information Retrieval.