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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, MICT [detail] | 2019-11-05 10:00 |
Ibaraki | Univ. of Tsukuba | A study of machine learning algorithm for wearable biosignal sensor Daisuke Watanabe, Yuji Yano, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yosimoto (Kobe Univ.)  MICT2019-25 MI2019-52 |
The algorithm was evaluated assuming that edge inference was performed on the data obtained from the wearable biological... [more] | MICT2019-25 MI2019-52 pp.7-8 |
| AP | 2019-10-17 12:30 |
Osaka | Osaka Univ. | [Poster Presentation]
Modulation estimation using deep learning in multi-beam massive MIMO Ryotaro Taniguchi, Kenatro Nishimori, Tsuyoshi Ohta (Niigata Univ.) AP2019-83 |
machine learning has attracted attention in various research fields. Machine learning is an algorithm and statistical mo... [more] | AP2019-83 pp.19-24 |
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-24 09:30 |
Kochi | Kochi University of Technology | Generation of Family Resemblance Inference Rules by Boid Annotation and Labeled-LDA
-- A Machine Learning Approach to Integrate Inference Attack Analysis and Covert Channel Attack Analysis -- Kosuke Kurebayashi, Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45 |
In this paper we propose a method for machine learning similar chains of words (word chains) similar to "rules for infer... [more] | ISEC2019-42 SITE2019-36 BioX2019-34 HWS2019-37 ICSS2019-40 EMM2019-45 pp.243-249 |
| MoNA | 2019-01-17 10:55 |
Kyoto | T. B. D. | An Access Control Mechanism for Pre-trained ML Models in Mobile Apps Atsuya Sato, Katsuya Matsubara (Future Univ. Hakodate) MoNA2018-69 |
Utilizing machine learning inference on mobile platforms has been made real since recent smartphones may have high-perfo... [more] | MoNA2018-69 pp.69-74 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2018-03-08 15:25 |
Shimane | Okinoshima Bunka-Kaikan Bldg. | Selecting a Rule Set of the Logical Inference System with Machine Learning Shozo Takeoka, Tomoaki Shikina, Hironori Nakajo (TUAT) CPSY2017-142 DC2017-98 |
Since modern logical inference system needs a huge rule-base which is increasing more and more, search space can be red... [more] | CPSY2017-142 DC2017-98 pp.197-202 |
| ICSS, IPSJ-SPT | 2017-03-13 16:40 |
Nagasaki | University of Nagasaki | Malicious PDF Detection Scheme using Keywords Feature based on Fuzzy inference Hiroya Kato, Shuichiro Haruta, Iwao Sasase (Keio Univ.) ICSS2016-54 |
Detecting malicious PDFs (Portable Document Format) is imperative. In several malicious PDF detection schemes, the schem... [more] | ICSS2016-54 pp.85-90 |
| LOIS, IPSJ-DC | 2016-07-16 14:00 |
Hiroshima | Hiroshima RCC Culture Center | Studies on inference system of deep body temperature by using machine learning methods Hirofumi Miyajima, Wataru Tarumi, Hirokazu Doi, Toru Kobayashi, Kazuyuki Shinohara (Nagasaki Univ.) LOIS2016-18 |
It is important to know the information of deep body temperature, but difficult to measure it. There are some systems to... [more] | LOIS2016-18 pp.57-62 |
| IN, NS, CS, NV (Joint) |
2015-09-04 10:35 |
Iwate | Iwate-ken Kokaido | [Encouragement Talk]
Identification of Mobile Applications via In-Network Machine Learning Using N-gram for Application-Specific Traffic Control Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2015-78 |
Identifying the application transmitting a given flow of network traffic is beneficial for network management, especiall... [more] | NS2015-78 pp.41-46 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2013-12-05 14:15 |
Kyoto | 60th Anniversary Hall, Kyoto Institute of Technology | Estimating Corrective Posture towards Improving User's Golf Swing Hiroharu Tsutsui, Daisuke Sugimura, Takayuki Hamamoto (TUS) CS2013-67 IE2013-78 |
In this paper, we propose a method for estimating corrective posture of user for sport instruction. In the former works ... [more] | CS2013-67 IE2013-78 pp.61-64 |
| MBE, NC (Joint) |
2012-11-17 13:30 |
Miyagi | Tohoku University | Composite likelihood estimation for bipartite Boltzmann machines Takashi Asari, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) NC2012-68 |
The recent development of information technology has enabled us to obtain and to storage huge information data. Because... [more] |
NC2012-68 pp.39-44 |
| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Advanced Susceptibility Propagation Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) IBISML2010-67 |
Inferences in Markov random fields are ones of the most important problems in information science. Susceptibility prop... [more] |
IBISML2010-67 pp.59-63 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 14:50 |
Fukuoka | Fukuoka Univ. | [Special Talk]
Higher-order optimization and learning in vision
-- a bottom-up approach -- Hiroshi Ishikawa (Waseda Univ.) PRMU2010-67 IBISML2010-39 |
Energy minimization methods such as those utilizing Markov Random Field (MRF) have come to be widely used in computer vi... [more] | PRMU2010-67 IBISML2010-39 p.83 |
| NC, MBE (Joint) |
2009-03-11 09:30 |
Tokyo | Tamagawa Univ. | Natural Language Processing Neural Network for Analogical Inference Masahiro Saito, Masafumi Hagiwara (Keio Univ.) NC2008-103 |
In this paper, we propose a neural network which can learn knowledge rom natural language documents and analogize. In pr... [more] | NC2008-103 pp.1-6 |
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