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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 153  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
OME 2023-12-26
16:40
Okinawa OKINAWAKEN SEINENKAIKAN [Invited Talk] Neuromorphic molecular networks -- Application to edge computation --
Takuya Matsumoto (Osaka Univ.) OME2023-72
(To be available after the conference date) [more] OME2023-72
pp.23-26
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online First-person's view hand posture estimation and fingerspelling recognition using HoloLens
Tomohito Fujimoto, Takayuki Kawamura, Keiichi Zempo, Sandra Puentes (Univ. of Tsukuba)
In this study, we develop a first-person’s view Japanese finger spelling recognition system using an Optical See-Through... [more]
NC, MBE
(Joint)
2021-03-05
13:50
Online Online DCSOM with Ensemble Learning Classifier
Akito Takahashi, Yukari Yamauchi (Nihon Univ) NC2020-71
Deep Convolutional Self-Organizing Map (DCSOM) which extracts visual features from images by using self-organizing maps ... [more] NC2020-71
pp.163-168
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
15:45
Online Online A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2020-23
Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model... [more] NC2020-23
pp.77-82
LOIS 2020-03-11
15:40
Okinawa Nobumoto Ohama Memorial Hall
(Cancelled but technical report was issued)
Investigating of automatic label masking methods for plant specimen images using Optical Character Recognition
Haruka Hino, Yasuhiko Higaki (Chiba Univ.) LOIS2019-66
The Haginiwa plant specimen images, are one of the largest collection of flowering plants in Japan, are expected to be p... [more] LOIS2019-66
pp.57-62
NC, MBE
(Joint)
2020-03-05
13:50
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A Proposal of Self-Organizing Maps Based on Learning with Attribute Information
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2019-96
Self-organizing maps(SOM) is a simple algorithm, and has excellent clustering capabilities. However, since SOM performs ... [more] NC2019-96
pp.119-124
PRMU 2019-12-19
11:15
Oita   A Study on the Extraction Method of Handwritten Chinese Character's Structure Using the Simplicial Complex and Simplicial Approximation
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2019-49
We have been investigating a method to extract structural information of handwritten chinese characters, realizing how t... [more] PRMU2019-49
pp.17-21
MBE, NC 2019-10-12
10:50
Miyagi   An Optimization for Classification by Self-Organizing Maps Based on Attribute Information
Tetsuya Sato (Nihon Univ.), Kazuma Tsuchida (STUDIO ONE OR EIGHT), Yukari Yamauti (Nihon Univ.) MBE2019-41 NC2019-32
Self-Organizing Map (SOM) is a simple algorithm that has excellent clustering capabilities and adapts continuous changes... [more] MBE2019-41 NC2019-32
pp.59-63
WIT 2019-08-10
16:20
Tochigi Teikyo University, Utsunomiya Campus (TBD) A System to Acquire Expiration Date of Merchandise for Visually Impaired People -- a discussion about improvement of recognition rate with machine learning --
Takeuchi Yoshinori (Daido Univ.) WIT2019-13
We have been researching a system to acquire expiration date of Merchandise for visually impaired people. In this paper,... [more] WIT2019-13
pp.23-28
PRMU, CNR 2019-03-01
13:30
Tokushima   Recognition of Color Characters in Scene Images via Optimal Binarization and Distortion-tolerant Image Matching
Masato Suzuki, Toru Wakahara (Hosei Univ.) PRMU2018-130 CNR2018-53
This paper proposes an efficient combination of optimal binarization and distortion-tolerant image matching for color ch... [more] PRMU2018-130 CNR2018-53
pp.89-94
PRMU 2018-12-13
10:30
Miyagi   Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition
Soichi Tashima, Hideaki Goto (Tohoku Univ.) PRMU2018-77
Along with the widespread of the mobile devices equipped with cameras, many applications using the camera function have ... [more] PRMU2018-77
pp.13-18
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
09:50
Fukuoka   A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21
The local feature extraction used in general object recognition is one of the useful method to recognize
the handwritte... [more]
PRMU2018-44 IBISML2018-21
pp.55-60
WIT, IPSJ-AAC 2018-03-09
16:10
Ibaraki Tsukuba University of Technology Continuous Finger Spelling Recognition Using Kinect Based on Linguistic Information
Kosuke Kazama, Yasuo Horiuchi (Chiba Univ.), Shimomoto Masayoshi (Mizuho IR), Shingo Kuroiwa (Chiba Univ.) WIT2017-74
In this paper, we will discuss a finger spelling recognition based on linguistic information, Generally, a finger spelli... [more] WIT2017-74
pp.83-88
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
11:30
Hokkaido Hokkaido Univ. A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space
Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] ITS2017-83 IE2017-115
pp.257-260
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
13:30
Osaka   [Fellow Memorial Lecture] Recognition of Large-Scale, Complex Patterns Enabled by Encounters with Colleagues
Koichi Kise (Osaka Prefecture Univ.) PRMU2017-126 MVE2017-47
I have met a variety of patterns and challenged to recognize them
simply because I have encountered many colleagues who... [more]
PRMU2017-126 MVE2017-47
pp.117-122
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-19
09:30
Osaka  
Kawaguchi Tadafumi (Kyushu Univ.), Ushiku Yoshitaka (Tokyo Univ.), Uchida Seiichi (Kyushu Univ.) PRMU2017-131 MVE2017-52
(To be available after the conference date) [more] PRMU2017-131 MVE2017-52
pp.163-168
WIT, ASJ-H 2017-05-28
10:45
Tokyo RION Co., LTD. A study on JSL Finger Spelling Recognition Using Convolutional Neural Networks
Shinji Sako, Hana Hosoe (NIT), Bogdan Kwolek (AGH Univ. of Technology) WIT2017-10
Recently, a few methods for recognition of hand postures on depth maps using convolutional neural networks were proposed... [more] WIT2017-10
pp.45-49
PRMU 2016-10-20
15:40
Miyazaki   Recognition of Obsolete Script in Pre-modern Japanese Texts by Deep Learning and Trial Production of WWW Application
Taichi Hayasaka, Wataru Ohno, Yumie Kato (NIT, Toyota College), Kazuaki Yamamoto (NIJL) PRMU2016-93
Effective utilization of “Pre-modern Japanese book database” constructed by the project supervised by Center for Collabo... [more] PRMU2016-93
pp.15-18
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, IPSJ-CVIM, IBISML [detail] 2016-09-05
09:30
Toyama   PRMU2016-55 IBISML2016-10 (To be available after the conference date) [more] PRMU2016-55 IBISML2016-10
pp.7-12
 Results 1 - 20 of 153  /  [Next]  
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