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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-24 09:30 |
Okinawa | Okinawa Institute of Science and Technology | Elementary cellular automata and dynamic binary neural networks Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.)  NC2017-13 |
This paper studies basic dynamic of elementary cellular automata(ECA): digital dynamical systems in which time, space a... [more] |
NC2017-13 pp.93-97 |
| NC, NLP (Joint) |
2016-01-29 11:20 |
Fukuoka | Kyushu Institute of Technology | Feature quantities for analysis of digital maps Tokoki Hamaguchi, Hiroki Yamaoka, Toshimichi Saito (HU) NLP2015-139 |
his paper studies simple digital dynamical systems that can generate various periodic orbits. In order to consider the... [more] |
NLP2015-139 pp.75-79 |
| MI | 2016-01-20 13:50 |
Okinawa | Bunka Tenbusu Kan | Tissue Volume Model Mapping onto Target Volume Based on modified Self-organizing Deformable Model Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji (Kyushu Univ.), Yasushi Miyagi (Kaizuka hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2015-135 |
This paper proposes a new method for mapping volume models of human tissues onto a target volume with simple shape. The ... [more] | MI2015-135 pp.305-308 |
| NLP, CAS | 2015-10-05 10:30 |
Hiroshima | Aster Plaza | Feature quantities of basic mixed-rule cellular automata Naoki Tada, Toshimichi Saito (HU) CAS2015-22 NLP2015-83 |
This paper studies basic dynamics of mixed-rule cellular automata (MCA): digital dynamical systems in which time, space... [more] |
CAS2015-22 NLP2015-83 pp.11-14 |
| NLP | 2015-05-18 14:55 |
Aomori | Yu-sa Asamushi | Analysis of basic mixed-rule cellular automata Naoki Tada, Toshimichi Saito (HU) NLP2015-30 |
This paper studies basic dynamics of mixed rules with cellular automata: a digital dynamical systems of discrete time a... [more] |
NLP2015-30 pp.17-21 |
| NC, MBE | 2015-03-16 13:35 |
Tokyo | Tamagawa University | Window Size Optimization in a Millimeter-wave Active Imaging System Using Complex-Valued Self-Organizing Map Yuya Arima, Akira Hirose (Univ. Tokyo) MBE2014-164 NC2014-115 |
Millimeter-wave possesses high penetrability and high directivity. In security imaging, we use these features to discove... [more] | MBE2014-164 NC2014-115 pp.265-270 |
| MW, ED | 2015-01-15 14:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Millimeter-wave Active Imaging Using Multiple Frequencies with Complex-Valued Self-Organizing Map Image Processing Yuya Arima, Akira Hirose (Univ. Tokyo) ED2014-118 MW2014-182 |
Millimeter-wave possesses high penetrability and high directivity. In security imaging, we use these features to discove... [more] | ED2014-118 MW2014-182 pp.7-11 |
| SIS | 2014-12-19 11:35 |
Kyoto | Kyoto Research Park (Kyoto City) | Count The Number of Same Shape Objects in A Snap Image using SOM Yuriko Tsunoda, Kouichirou Hayashi, Hideaki Kawano, Hiroshi Maeda (Kyutech) SIS2014-84 |
Currently, autonomous robots are studied in various fields. To robot act autonomously, it is important to recognize the ... [more] | SIS2014-84 pp.99-102 |
| SIS, IPSJ-AVM | 2014-09-11 14:50 |
Yamagata | SHONAI INDUSTRIAL PROMOTION CENTER | Smoothed Data Density Histogram on Self-Organizing Map and Its Application to Cluster Analysis Yuriko Tsunoda, Kouichiro Hayashi, Hideaki Kawano, Hiroshi Maeda (Kyutech) SIS2014-57 |
This paper proposes an automatic cluster analysis method using self-organizing feature maps (SOM). SOM-based cluster ana... [more] | SIS2014-57 pp.45-50 |
| PRMU | 2014-03-14 10:45 |
Tokyo | Evaluation of image local features for the improvement of face tracking accuracy Shogo Kawai, Maiya Hori, Hiroki Yoshimura, Yoshio Iwai (Tottori Univ.) PRMU2013-201 |
We present local feature evaluation for a constrained local model (CLM) framework. We target facial images captured by ... [more] |
PRMU2013-201 pp.197-202 |
|
| ICD, IPSJ-ARC | 2014-03-07 10:15 |
Aichi | Flexible Word-Parallel Euclidean Distance Search Associative Memory for Applications with Varying Dimensionality of Reference Vectors Toshinobu Akazawa, Hans Jurgen Mattausch (Hiroshima Univ.) ICD2013-138 |
The reported fully word-parallel associative memory architecture for nearest Euclidean distance (ED) search, which has f... [more] | ICD2013-138 pp.33-37 |
|
| CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-06 13:55 |
Oita | Beppu International Convention Center | Geomorphological Feature Extraction Based on Geometric Context and Self-Localization Yoshihiro Minamida, Kota Aoki, Hiroshi Nagahashi (Titech) IMQ2013-42 IE2013-151 MVE2013-80 |
Self-localization from camera images is an important technology for mobile robot’s sensing. Detecting landmark of which ... [more] | IMQ2013-42 IE2013-151 MVE2013-80 pp.93-96 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 10:05 |
Hokkaido | Hokkaido Univ. | Image Enlargement in Different Ratio with Edge Region and Salient Feature Aware I Komang Somawirata, Keiichi Uchimura, Gou Koutaki (Kumamoto Univ.) ITS2013-33 IE2013-98 |
Currently, the various sizes and ratios of displays have been presented. It requires a good image enlargement method. Th... [more] | ITS2013-33 IE2013-98 pp.19-23 |
| PRMU, CNR | 2014-02-13 14:30 |
Fukuoka | Advancing Localization Ability of PTAMM at Natural Environment by Improving Feature Extraction Strategy Sakashi Maeda, Syota Ide, Naoyuki Tsuruta (Fukuoka Univ.) PRMU2013-134 CNR2013-42 |
This paper presents the improving method of PTAMM. PTAMM is a software which is an implementation of the method by G Kl... [more] |
PRMU2013-134 CNR2013-42 pp.73-76 |
|
| PRMU, CNR | 2014-02-13 16:10 |
Fukuoka | [Poster Presentation]
Pedestrian Detection by Channel Features based on Context Yohei Takayanagi, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2013-144 CNR2013-52 |
In this paper, we propose the method of pedestrian detection based on context model between pedestrians and background. ... [more] |
PRMU2013-144 CNR2013-52 pp.103-104 |
|
| SP, IPSJ-SLP | 2013-12-19 16:00 |
Tokyo | Improvement of AF-based Voice Conversion for Arbitrary Speakers Narpendyah Wisjnu Ariwardhani (TUT), Yurie Iribe (Aichi Prefectureal Univ.), Kouichi Katsurada (TUT), Tsuneo Nitta (Waseda Univ.) SP2013-85 |
In this paper, we use artificial neural networks (ANNs) for articulatory feature (AF) based voice conversion. ANNs are a... [more] | SP2013-85 pp.65-70 |
|
| MI | 2013-11-07 13:40 |
Hiroshima | Interactive Volume Visualization Method Using High-dimensional Feature Space Shintaro Takemoto, Megumi Nakao (Kyoto Univ.), Tetsuo Sato, Tadao Sugiura (NAIST), Tetsuya Matsuda (Kyoto Univ.) MI2013-50 |
We propose an interactive volume visualization method based on high-dimensional feature space. In conventional methods, ... [more] | MI2013-50 pp.25-28 |
|
| TL | 2013-08-03 15:35 |
Osaka | Kwansei Gakuin University, Osaka Umeda Campus | [Poster Presentation]
Syntactic Structure of Genitive Subject Clauses in Korean
-- A View from Prosody-Syntax Interface -- Youngju Kim, Yosuke Igarashi, Hiromu Sakai (Hiroshima Univ.) TL2013-24 |
The subject NP in an adnominal clauses is often marked by the genitive case-marker in Korean. It is, however, still not ... [more] | TL2013-24 pp.57-62 |
| SP, IPSJ-SLP (Joint) |
2013-07-25 14:40 |
Miyagi | Soho (togatta spa) | Single Channel Dereverberation by Feature Mapping Using Limited Stereo Data Aditya Arie Nugraha (Toyohashi Univ. of Tech.), Kazumasa Yamamoto (Toyota Nat. Coll. of Tech./Toyohashi Univ. of Tech.), Seiichi Nakagawa (Toyohashi Univ. of Tech.) SP2013-54 |
In this paper, we present a feature enhancement method that uses neural networks (NNs) to map the reverberant feature in... [more] | SP2013-54 pp.7-12 |
| MBE | 2013-06-21 11:45 |
Hokkaido | Hokkaido University | Optimization of EEG feature selection using electrical stimulation of muscle Masato Sasaki, Kenta Nakamura, Yuki Temma, Shun Matsumoto (Kitami Inst. of Tech.), Tetsuo Ota (Asahikawa Med. Univ), Yasunari Hashimoto (Kitami Inst. of Tech.) MBE2013-20 |
The integration of brain-machine interfaces (brain-computer interfaces) into rehabilitation settings is a promising new ... [more] | MBE2013-20 pp.27-31 |
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