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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
PRMU, CNR 2016-02-21
11:00
Fukuoka   Automatic correctness judgment of handwritten answers to descriptive questions by handwriting recognition
Yoshiro Uchida, Zhu Bilan, Masaki Nakagawa (TAT) PRMU2015-135 CNR2015-36
When handwriting recognition is applied to mark handwritten answers for descriptive questions, not only correct answers ... [more] PRMU2015-135 CNR2015-36
pp.19-24
WIT, SP, ASJ-H, PRMU 2015-06-18
14:00
Niigata   Position-Free On-line Handwritten Text Recognition
Jianjuan Liang, Bilan Zhu (TUAT), Taro Kumagai (Mitsubishi Electric), Masaki Nakagawa (TUAT) PRMU2015-41 SP2015-10 WIT2015-10
The paper presents a method of position-free on-line handwritten text recognition designed to allow a user to overlay ch... [more] PRMU2015-41 SP2015-10 WIT2015-10
pp.53-58
ET 2015-03-14
13:40
Tokushima Shikoku Univ. Plaza Automatic Marking of Answers Handwritten on a Tablet
Masaki Nakagawa, Yoshiro Uchida, Shinsuke Sasaki, Kazuhiro Mita (TUAT) ET2014-113
Assuming questions requiring free writing answers rather than selections are indispensable to test deep understanding by... [more] ET2014-113
pp.157-162
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Combination of LSTM and CNN on recognizing mathematical symbols
Hai Nguyen Dai, Anh Le Duc, Masaki Nakagawa (TUAT) IBISML2014-73
Combining classifiers is an approach that has been shown to be useful on numerous occasions when striving for further im... [more] IBISML2014-73
pp.287-292
PRMU 2014-06-20
14:15
Tokyo   A Database of On-line Handwritten Mixed Objects named "Kondate"
Tomohisa Matsushita, Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2014-33
This paper describes a database of on-line handwritten patterns mixed of text, figures, tables, maps, diagrams and so on... [more] PRMU2014-33
pp.67-72
PRMU 2014-06-20
14:45
Tokyo   An experiment of Text/Non-text Classification using Conditional Random Fields for Japanese Online Handwritten Japanese Ink Documents
Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2014-34
In this paper, we propose the method based on Conditional Random fields (CRF) for separating text and non-text ink strok... [more] PRMU2014-34
pp.73-78
PRMU 2013-03-15
09:30
Tokyo   A ground-truthing tool for making a database of online handwritten mathematical expressions
Anh Duc Le, Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2012-205
This paper presents a tool for labeling online handwritten mathematical expressions with ground truth automatically. We ... [more] PRMU2012-205
pp.147-150
PRMU 2013-03-15
14:45
Tokyo   Segmentation-free MRF Recognition Method in Combination with P2DBMN-MQDF for Online Handwritten Cursive Word
Bilan Zhu (Tokyo Univ. of Agriculture and Tech.), Arti Shivram, Srirangaraj Setlur, Venu Govindaraju (Univ. at Buffalo), Masaki Nakagawa (Tokyo Univ. of Agriculture and Tech.) PRMU2012-216
This paper describes an online handwritten English cursive word recognition method using a segmentation-free Markov rand... [more] PRMU2012-216
pp.213-218
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