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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, SS | 2023-01-11 15:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Composite SVM in HSI Classification Tamura Akito, Kitamura Takuya (NIT)  MSS2022-61 SS2022-46 |
In this paper, we propose an improved method of composite support vector machines for hyper-spectral image classificatio... [more] | MSS2022-61 SS2022-46 pp.96-100 |
| TL | 2018-10-28 13:00 |
Hokkaido | National Institute of Technology, Hakodate College | An investigation of identifier naming strongly linked to specific pattern of program structure Yoshiki Mashima (O.E.C.U.), Sachio Hirokawa (Kyushu Univ.), Kazuhiro Takeuchi (O.E.C.U.) TL2018-40 |
Identifiers in programming language such as variable names, class names, and method names are generally given in natural... [more] | TL2018-40 pp.7-12 |
| CPSY, DC, IPSJ-ARC [detail] | 2018-06-15 14:40 |
Yamagata | Takamiya Rurikura Resort | A Note on Ransomeware Detection using Support Vector Machines Yuuki Takeuchi, Kazuya Sakai, Satoshi Fukumoto (Tokyo Metropolitan Univ.) CPSY2018-10 DC2018-10 |
Recently, the damage of Ransomware has spread around the world.Ransomware is malware that requires users to pay money as... [more] | CPSY2018-10 DC2018-10 pp.131-136 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 16:15 |
Okinawa | Okinawa Institute of Science and Technology | Enumeration of Distinct Support Vectors for Model Selection Kentaro Kanamori (Hokaido Univ.), Satoshi Hara (Osaka Univ.), Masakazu Ishihata (NTT), Hiroki Arimura (Hokaido Univ.) IBISML2018-12 |
In ordinary machine learning problems, the learning algorithm outputs a single model that optimizes its learning objecti... [more] | IBISML2018-12 pp.81-88 |
| PRMU, BioX | 2017-03-21 10:00 |
Aichi | [Short Paper]
Bile duct segmentation from 3D CT image based on machine learning and probability map-assisted region growing Pengfei Chen, Hiroshi Tanaka, Masahiro Oda, Holger Roth, Tsuyoshi Igami, Masato Nagino, Kensaku Mori (NU) BioX2016-55 PRMU2016-218 |
In this paper, we present our study on the bile duct segmentation from 3D CT volumes. In hepatobiliary surgery, it is re... [more] | BioX2016-55 PRMU2016-218 pp.135-136 |
|
| PRMU, CNR | 2017-02-19 09:30 |
Hokkaido | 3D Generic Object Recognition based on Score Level Fusion via Superquadric Representation Ryo Hachiuma, Yuko Ozasa, Hideo Saito (Keio Univ.) PRMU2016-175 CNR2016-42 |
Our goal is to recognize 3d generic objects and estimate object's shape for object grasping simultaneously. In this pap... [more] |
PRMU2016-175 CNR2016-42 pp.131-136 |
|
| RCS, CCS, SR, SRW (Joint) |
2016-03-04 16:20 |
Tokyo | Tokyo Institute of Technology | A Study on Location Estimation Method by Wi-SUN Using Machine Learning Hiroshi Sakamoto, Hiroyuki Yasuda, Thong Huynh, Kaori Kuroda (Tokyo Univ. of Science), Yozo Shoji (NICT), Mikio Hasegawa (Tokyo Univ. of Science) CCS2015-78 |
Wi-SUN is a wireless communication standard that has been developed as communication scheme for smart meter to record in... [more] | CCS2015-78 pp.63-66 |
| PRMU | 2015-12-22 11:40 |
Nagano | Development and comparing of personal authentication systems by signature in the air Daiki Yamada, Takuya Kitamura (NIT) PRMU2015-110 |
In late years biological distinction has been used for security systems because it has high reliabiliby. Biometric featu... [more] | PRMU2015-110 pp.105-110 |
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| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Robustification of Learning Algorithms using Hinge-loss Takafumi Kanamori (Nagoya Univ.), Shuhei Fujiwara (TopGate), Akiko Takeda (Univ. of Tokyo) IBISML2015-71 |
We propose a unified formation of robust learning methods for classification and regression problems. In the learnin... [more] |
IBISML2015-71 pp.139-146 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 17:30 |
Ibaraki | Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) PRMU2014-48 IBISML2014-29 |
In order to apply machine learning algorithms to real world problems, it is necessary to ensure that discrimination, unf... [more] | PRMU2014-48 IBISML2014-29 pp.93-100 |
|
| PRMU, CNR | 2014-02-13 11:00 |
Fukuoka | Face recognition using Support vector machine Shintaro Obayashi, Shota Funaki, Yuki Tsukagoshi, Takuya Kitamura (TNCT) PRMU2013-126 CNR2013-34 |
In this paper, we demonstrate the effectiveness of support vector machines (SVMs) for the facial recognition system.we u... [more] | PRMU2013-126 CNR2013-34 pp.31-34 |
|
| PRMU, CNR | 2014-02-13 15:00 |
Fukuoka | Improved Subspace-based Support Vector Machines by linear combination of the separating hyper-planes Shota Funaki, Takuya Kitamura (TNCT) PRMU2013-135 CNR2013-43 |
In this paper, we propose the improved subspace-based SVMs (SS-SVMs) by linearly-combining the separating hyper-planes (... [more] | PRMU2013-135 CNR2013-43 pp.77-82 |
|
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Support vector comparison machines Toby Dylan Hocking, Supaporn Spanurattana, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-51 |
In ranking problems, the goal is to learn a ranking function $r(x)inRR$ from labeled pairs $x,x'$ of input points. In... [more] |
IBISML2013-51 pp.115-121 |
| AI, SC | 2013-08-09 14:50 |
Tokyo | National Institute of Informatics | Feature Extraction and Selection for Detecting Manipulation Online Review Ching-Yun Hsueh (Univ. of Aizu), Long-Sheng Chen (Chaoyang Univ. of Tech.), Qiangfu Zhao (Univ. of Aizu) AI2013-16 SC2013-10 |
with the proliferation of e-commerce, internet has become an excellent platform for gathering and sharing consumers’ per... [more] | AI2013-16 SC2013-10 pp.7-12 |
| MBE, NC (Joint) |
2013-03-15 10:40 |
Tokyo | Tamagawa University | Application of Support Vector Machines and Particle Swarm Optimization in the classification of auditory event-related potentials Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada (Nagaoka Univ. of Tech.) NC2012-173 |
The accurate detection of single-trial event-related potentials (ERP) is very important for the development of practical... [more] | NC2012-173 pp.227-232 |
| IBISML | 2012-03-13 11:00 |
Tokyo | The Institute of Statistical Mathematics | A Study on Decision Boundary Stability in Active Learning with Support Vector Machine Takeru Takahashi, Yuji Waizumi, Kazuo Hashimoto (Tohoku Univ.) IBISML2011-101 |
Studies on active learning have advanced in order to improve the performance of supervised learning machines efficientl... [more] |
IBISML2011-101 pp.97-101 |
| WIT | 2012-03-09 16:15 |
Ibaraki | Human Interface Using EMG-Based Motion Recognition Method Masahiro Yoshikawa, Yoshio Matsumoto (AIST) WIT2011-80 |
In this paper, we report an EMG-based motion recognition method using support vector machines (SVMs). This method uses E... [more] | WIT2011-80 pp.57-60 |
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| PRMU, SP | 2012-02-10 14:50 |
Miyagi | Event detection from Video using GMM-Supervectors and SVMs Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech), Shunsuke Sato (Canon) PRMU2011-230 SP2011-145 |
In multimedia event detection, complex target events are detected from a large set of consumer domain videos taken in un... [more] | PRMU2011-230 SP2011-145 pp.195-200 |
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| MVE, HI-SIG-VR | 2011-10-14 16:05 |
Hokkaido | Unicursal Gesture Recognition with Support Vector Machines Using Distance to Borders Bessie Chan, Ryosuke Aoki, Masayuki Ihara, Minoru Kobayashi, Toru Kobayashi (NTT), Shingo Kagami (Tohoku Univ.) MVE2011-54 |
Vision-based recognition systems using hand gestures to control applications like TV menus are gaining popularity in the... [more] | MVE2011-54 pp.127-132 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-05 11:30 |
Hokkaido | Learning of Kernel Classfier based on General Loss Minimization Masato Ishii, Atsushi Sato (NEC) PRMU2011-61 IBISML2011-20 |
This paper presents a new method for learning kernel classifiers. First, we formulate a novel learning scheme called ``G... [more] | PRMU2011-61 IBISML2011-20 pp.23-30 |
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