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 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2022-03-10
15:50
Online Online Visual Constraints for Generating Multi-domain Offline Handwritten Mathematical Expressions
Huy Quang Ung, Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. Agri. & Tech.), Tsunenori Ishioka (The National Cen. for Univ. Entrance Exam.), Masaki Nakagawa (Tokyo Univ. Agri. & Tech.)
Offline Handwritten Mathematical Expression (HME) recognition has been intensively studied for two decades. However, mos... [more] PRMU2021-69
pp.54-59
PRMU, IPSJ-CVIM 2022-03-11
10:15
Online Online Context free grammar with tree structure analysis for online handwritten mathematical expression recognition
Naruki Kitashima, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT)
In mathematics exams, descriptive questions are effective for measuring the comprehension of examinees, but marking hand... [more] PRMU2021-76
pp.103-108
PRMU, IPSJ-CVIM 2022-03-11
10:45
Online Online Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines
Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT)
In this paper, we propose a framework for contrastive learning of visual representations using online triplet loss and a... [more] PRMU2021-78
pp.115-120
ET 2022-01-22
11:30
Online Online Design of CBT with Handwriting Input for Online LMS
Ryo Yajima (TUAT), Fumiko Yasuno (NIER), Masaki Nakagawa, Ikuko Shimizu (TUAT) ET2021-45
Conventional Computer Based Testing (CBT) systems mainly support multiple-choice and short-answer questions inputted wit... [more] ET2021-45
pp.13-18
PRMU 2021-12-16
14:55
Online Online Fully automatic scoring of handwritten descriptive answers in Japanese language tests
Hung Tuan Nguyen, Cuong Tuan Nguyen (TUAT), Haruki Oka (UTokyo), Tsunenori Ishioka (The National Center for University Entrance Examinations), Masaki Nakagawa (TUAT) PRMU2021-32
This paper presents an experiment of automatically scoring handwritten descriptive answers in the trial tests for the ne... [more] PRMU2021-32
pp.45-50
PRMU 2021-12-16
15:10
Online Online Neural Network-based Local Feature Descriptors for Matching Excavated Mokkan Fragments of Various Sizes
Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-33
This paper presents a method to predict whether two excavated Mokkan fragments of various sizes are from the same tablet... [more] PRMU2021-33
pp.51-56
PRMU 2020-12-18
10:45
Online Online CNN and 2D BLSTM for Local Feature Extraction in Handwritten Mathematical Expression Recognition
Kei Morizumi, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2020-56
Descriptive questions in mathematics are effective to examine learners’ understanding, but marking handwritten answers a... [more] PRMU2020-56
pp.105-110
PRMU 2020-09-02
10:45
Online Online Online trajectory recovery from offline handwritten Japanese kanji characters
Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2020-11
 [more] PRMU2020-11
pp.19-27
PRMU 2019-10-18
10:30
Tokyo   Recognition of a Shogi phase image taken with a smartphone
Akira Sato, Kei Morizumi, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2019-33
This paper reports recognition of Shogi phase images captured by a smartphone and transferred to our server. In these da... [more] PRMU2019-33
pp.11-15
PRMU 2019-10-18
16:15
Tokyo   Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network
Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural netw... [more] PRMU2019-41
pp.53-58
PRMU, BioX 2019-03-17
10:30
Tokyo   Improvement of a Computer Automated Marking System for Online Handwritten Math Answers employing Machine Recognition
Xiuyu Liang, Shinsuke Sasaki, Cuong Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agriculture and Technology) BioX2018-31 PRMU2018-135
This paper proposes improvement of computer automated marking system for online handwritten math answers employing machi... [more] BioX2018-31 PRMU2018-135
pp.13-18
NLP, CCS 2018-06-08
11:35
Kyoto Kyoto Terrsa An experimentally faithful model for synchrony in certain fireflies, and its occurrence condition for traveling waves
Masaki Nakagawa, Hisa-Aki Tanaka (UEC) NLP2018-33 CCS2018-6
Papua New Guinean fireflies, Pteroptyx effulgens, form traveling wave pattern{s with their flashing lights in a group. I... [more] NLP2018-33 CCS2018-6
pp.31-36
NLP, CAS 2017-10-05
15:50
Niigata Machinaka Campus Nagaoka [Invited Talk] Exploring optimality in nonliear problems -- Applications to design methodology of injection-locking circuits and new vibration engineering --
Hisa-Aki Tanaka, Masaki Nakagawa (UEC), Hiroo Sekiya (Chiba Univ.) CAS2017-30 NLP2017-55
We have been enabling optimizing injection-locking phenomena, in collaboration with research groups in U.S. for these se... [more] CAS2017-30 NLP2017-55
pp.35-40
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
13:30
Tokyo   Prototyping of a Computer Automated and Assisted Marking System for Handwritten Math Answers employing Online Handwriting Recognition and Clustering
Shinsuke Sasaki, Liang Xiuyu, Masaki Nakagawa (TUAT) PRMU2017-50 IBISML2017-22
In this paper, we report prototyping of a computer automated and assisted marking system for handwritten math answers em... [more] PRMU2017-50 IBISML2017-22
pp.91-96
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
16:20
Tokyo   Text-Independent Writer Identification using Convolutional Neural Networks
Cuong Tuan Nguyen, Takeya Ino, Hung Tuan Nguyen, Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) PRMU2017-54 IBISML2017-26
 [more] PRMU2017-54 IBISML2017-26
pp.129-134
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
09:00
Toyama   Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature
Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-54 IBISML2016-9
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] PRMU2016-54 IBISML2016-9
pp.1-5
PRMU, SP, WIT, ASJ-H 2016-06-13
10:00
Tokyo   Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature
Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3
Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. T... [more] PRMU2016-37 SP2016-3 WIT2016-3
pp.13-18
PRMU, BioX 2016-03-24
13:30
Tokyo   Preparation of an Unconstrained Vietnamese Online Handwriting Database and Recognition Experiments by BLSTM
Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. of Agri. and Tech.), Pham The Bao (Ho Chi Minh City University of Science), Masaki Nakagawa (Tokyo Univ. of Agri. and Tech.) BioX2015-51 PRMU2015-174
In this paper, we present preparation of a Vietnamese online handwriting database and recognition experiments employing ... [more] BioX2015-51 PRMU2015-174
pp.59-64
PRMU, BioX 2016-03-24
14:00
Tokyo   Reconsideration on Text/Non-text Classification for Online Handwritten Ink Documents by BLSTM Neural Networks
Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) BioX2015-52 PRMU2015-175
This paper reports reconsideration on text/non-text classification in online handwritten documents by BLSTM neural netwo... [more] BioX2015-52 PRMU2015-175
pp.65-70
PRMU, CNR 2016-02-21
10:30
Fukuoka   Line Segmentation of On-line Handwritten Mathematical Expressions
Shinsuke Sasaki, Anh Duc Le, Bilan Zhu, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2015-134 CNR2015-35
This paper presents methods of line segmentation for multiple lines of online handwritten mathematical expressions. We p... [more] PRMU2015-134 CNR2015-35
pp.13-18
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