no code implementations • 10 Jan 2022 • Hung Tuan Nguyen, Cuong Tuan Nguyen, Haruki Oka, Tsunenori Ishioka, Masaki Nakagawa
As QWK is over 0. 8, it represents an acceptable similarity of scoring between the automatic scoring system and the human examiners.
no code implementations • 11 Aug 2021 • Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa
Handwritten mathematical expressions (HMEs) contain ambiguities in their interpretations, even for humans sometimes.
no code implementations • 28 Jun 2021 • Trung Tan Ngo, Hung Tuan Nguyen, Nam Tuan Ly, Masaki Nakagawa
In this paper, we propose an RNN-Transducer model for recognizing Japanese and Chinese offline handwritten text line images.
no code implementations • 21 May 2021 • Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Masaki Nakagawa
Toward a computer-assisted marking for descriptive math questions, this paper presents clustering of online handwritten mathematical expressions (OnHMEs) to help human markers to mark them efficiently and reliably.
no code implementations • 21 May 2021 • Cuong Tuan Nguyen, Thanh-Nghia Truong, Hung Tuan Nguyen, Masaki Nakagawa
The classification model is trained by multiple paths of symbols and spatial relations derived from the Symbol Relation Tree (SRT) representation of HMEs.
no code implementations • 13 May 2021 • Thanh-Nghia Truong, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa
The recognition system has two parts: a temporal classifier and a tree connector.
no code implementations • 10 Sep 2020 • Hung Tuan Nguyen, Cuong Tuan Nguyen, Takeya Ino, Bipin Indurkhya, Masaki Nakagawa
Randomly sampled tuples of images from the training set are used to train the CNN and aggregate the extracted local features of images from the tuples to form global features.
no code implementations • 9 Sep 2020 • Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakagawa
Although the visual verification reveals some problems, the recognition experiments demonstrate the effect of trajectory recovery in improving the accuracy of offline handwritten character recognition when online recognition for the recovered trajectories are combined.
no code implementations • 14 May 2019 • Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa
Inspired by recent successes in neural machine translation and image caption generation, we present an attention based encoder decoder model (AED) to recognize Vietnamese Handwritten Text.
1 code implementation • 21 Jan 2019 • Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa
In this paper, we propose pattern generation strategies that generate shape and structural variations to improve the performance of recognition systems based on a small training set.