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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP | 2018-08-27 14:20 |
Kyoto | Kyoto Univ. | [Invited Talk]
Product models and semi-supervised word segmentation Daichi Mochihashi (ISM)  SP2018-28 |
While deep learning methods have achieved revolutionary success in speech and audio research, the impact is less signif... [more] |
SP2018-28 p.29 |
| ICSS, IA | 2018-06-26 09:25 |
Ehime | Ehime University | A consideration on the possibility of automatic classifying for anomalous posts on Twitter Ryutaro Ushigome (NICT/Chuo Univ), Takeshi Matsuda (Univ of Nagasaki), Michio Sonoda, Takeshi Takahashi, Mio Suzuki (NICT), Jinhui Chao (Chuo Univ) IA2018-9 ICSS2018-9 |
A lot of information has been posted on the SNS, including not only erroneous information and inappropriate writing, but... [more] | IA2018-9 ICSS2018-9 pp.55-60 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:05 |
Okinawa | A preliminary study on unsupervised registration with deep learning Kai Nagara, Holger R. Roth, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2017-65 |
Registration is one of the important processes in medical image processing. Many researchers have proposed methods for r... [more] | MI2017-65 pp.7-12 |
|
| PRMU, BioX | 2018-03-18 11:10 |
Tokyo | Learning Convolutional Autoencoders Using a Loss Function Based on Spatial Frequencies and Colors Naoyuki Ichimura (AIST) BioX2017-36 PRMU2017-172 |
This paper presents a learning method for convolutional autoencoders (CAEs) for extracting features from images. CAEs ca... [more] | BioX2017-36 PRMU2017-172 pp.1-6 |
|
| PRMU, BioX | 2018-03-18 16:45 |
Tokyo | Evaluation of the Shot Boundary Detection Method based on Unsupervised Learning from Video Big Data Norio Katayama, Hiroshi Mo, Shin'ichi Satoh (NII) BioX2017-53 PRMU2017-189 |
Video data is a sequence of video frames and their temporal continuity is an essential property of video stream. In th... [more] |
BioX2017-53 PRMU2017-189 pp.103-108 |
|
| PRMU, CNR | 2018-02-19 09:30 |
Wakayama | A top-down approach in dot-matrix character extraction Takuya Mizoguchi (NAIST), Yoshihisa Ijiri, Masaki Suwa (OMRON), Kiyoshi Kiyokawa (NAIST) PRMU2017-145 CNR2017-23 |
A dot-matrix character is a character formed by a dot matrix and used in such factory automation application as product ... [more] | PRMU2017-145 CNR2017-23 pp.1-6 |
|
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | GAN-based Similarity Search System
-- Prototype of a Similarity Search System capturing Various Atmospheres -- Youhei Yamaguchi, Hisanobu Nakamura (KCI) |
DCGAN (Deep Convolutional Generative Adversarial Network) which is an unsupervised learning method for image generation ... [more] | |
| ICSS | 2017-11-21 13:10 |
Oita | Beppu International Convention Center | Study of Traffic Analysis Method for Illegal Host Detection with Kmeans++ Taisuke Yamada, Masaki Inamura (Tokyo Denki Univ.) ICSS2017-48 |
With the development of the Internet, the number of devices connected to cyberspace is increasing. By being left untreat... [more] | ICSS2017-48 pp.59-64 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics Y-h. Taguchi (Chuo Univ.) IBISML2016-47 |
Recently, numerous researches were performed for the machine/statisitical learning. Among those, deep learning is especi... [more] | IBISML2016-47 pp.17-24 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Anomaly Deteciton with K-Means
-- Comparison with Supervised Methods -- Hisashi Takahara (UNP) IBISML2016-75 |
Today, almost all computers have access to the Internet. Computers connected to the Internet are susceptible to various ... [more] | IBISML2016-75 pp.207-214 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Research on Unsupervised Transfer Learning utilizing Clustering under Incomplete Dataset Masayoshi Ishikawa, Hideaki Suzuki, Mariko Okude, Yoshitaka Atarashi (HITACHI) IBISML2016-91 |
Progress in communication technology and advanced calculators has helped with increasing the number of analytics service... [more] | IBISML2016-91 pp.321-327 |
| CCS | 2016-11-04 11:15 |
Kyoto | Kyoto Sangyo Univ. (Musubiwaza Bldg.) | Unsupervised Learning with Spike-Timing Dependent Delay Learning Model Takashi Matsubara (Kobe Univ.) CCS2016-32 |
Precious timing of neuronal spikes is considered to play an important role in signal transmission and processing in cent... [more] | CCS2016-32 pp.13-16 |
| SP | 2016-10-27 13:00 |
Shizuoka | Shizuoka University. | [Invited Talk]
Unsupervised Word Discovery based on Bayesian Nonparametrics Tadahiro Taniguchi (Ritsumeikan) SP2016-44 |
Word discovery is a critical task in language acquisition for infants. Human infants can discover words from speech sig... [more] |
SP2016-44 pp.21-22 |
| SP | 2016-10-27 14:00 |
Shizuoka | Shizuoka University. | [Invited Talk]
Unsupervised Object Matching Tomoharu Iwata (NTT) SP2016-45 |
We introduce unsupervised object matching, which is a task to find matching between objects in different domains without... [more] | SP2016-45 pp.23-24 |
| EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] | 2016-07-14 15:50 |
Yamaguchi | Evaluation of Clustering Analysis Based on Malware Traffic Model Mitsuhiro Hatada (Waseda Univ./NTT Communications), Tatsuya Mori (Waseda Univ.) ISEC2016-24 SITE2016-18 ICSS2016-24 EMM2016-32 |
A vast number of new malware samples have been developed for decades, and antivirus software may fail to detect evasive ... [more] | ISEC2016-24 SITE2016-18 ICSS2016-24 EMM2016-32 pp.59-64 |
|
| CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-06 13:30 |
Oita | Beppu International Convention Center | Abnormal Scene Extraction in Machinery Operation using Spatio-temporal Feature and Unsupervised Learning Hiromitsu Kobayashi, Kota Aoki, Hiroshi Nagahashi (Tokyo Tech.) IMQ2013-41 IE2013-150 MVE2013-79 |
This paper proposes a new method for extracting abnormal scene in the video of periodic machinery operations. Firstly, ... [more] | IMQ2013-41 IE2013-150 MVE2013-79 pp.87-92 |
| MBE, NC (Joint) |
2013-03-15 15:10 |
Tokyo | Tamagawa University | Detection of unknown sound using self-organizing neural network SOINN. Akito Takazaki, Susumu Kuroyanagi (Nagoya Inst. of Tech.) NC2012-180 |
The pattern recognition systems constructed of the neural networks generally need prior information as the training data... [more] | NC2012-180 pp.267-272 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Regularization of Restricted Boltzmann Machine Learning through entropy minimization Taichi Kiwaki, Takaki Makino, Kazuyuki Aihara (Univ. Tokyo) IBISML2012-48 |
We propose a learning scheme for Restricted Boltzmann Machines (RBMs) that suppresses over-fitting, where the entropy of... [more] | IBISML2012-48 pp.103-106 |
| NLP | 2011-11-09 15:55 |
Okinawa | Miyako Island Marine Terminal | A TSP solver by growing SOM using local distance information Kazuki Sunakawa, Toshimichi Saito (HU) NLP2011-104 |
This paper presents growing self-organizing maps using local distance information and considers its application to the t... [more] | NLP2011-104 pp.69-74 |
| NC, MBE (Joint) |
2011-03-07 18:05 |
Tokyo | Tamagawa University | Abstract Category Learning Atsushi Hashimoto, Haruo Hosoya (Tokyo Univ.) NC2010-158 |
Motivated by a neurophysiological experiment on prefrontal cortex, we study a scheme for learning abstract categories. ... [more] |
NC2010-158 pp.183-188 |
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