| 研究課題/領域番号 |
18K18068
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| 研究機関 | 東京農工大学 |
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研究代表者 |
NGUYENTUAN CUONG 東京農工大学, 工学(系)研究科(研究院), 特任助教 (10814246)
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| 研究期間 (年度) |
2018-04-01 – 2021-03-31
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| キーワード | handwriting / mathematical expression / clustering |
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| 研究実績の概要 |
We have published our works "CNN based spatial classification features for clustering offline handwritten mathematical expressions" on Pattern Recognition Letters. We also prepared a method for clustering online handwritten mathematical expression using BLSTM-CTC for recognizing label sequence and pyramid histogram of characters for sequence embedding.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
We published a Journal paper on the topic and continue to develop new method for solving the problem.
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| 今後の研究の推進方策 |
We will publish the result of online handwritten mathematical expression recognition. We continue develop online and offline handwritten mathematical expression recognition using seq2seq with attention approach. Then we derive the dissimilarity of patterns by its recognition results. We also make more research to other metric learning methods and unsupervised learning to improve the robustness of the clustering method.
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