| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa | Okinawa Convention Center | Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.)  IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] | IN2023-87 pp.130-135 |
| COMP, IPSJ-AL | 2020-05-09 16:15 |
Online | Online | Gathering for mobile agents with a strong team in weakly Byzantine environments Jion Hirose, Masashi Tsuchida (NAIST), Junya Nakamura (TUT), Fukuhito Ooshita, Michiko Inoue (NAIST) COMP2020-2 |
We study the gathering problem requiring a team of mobile agents to gather at a single node in arbitrary networks. The t... [more] | COMP2020-2 pp.9-16 |
| SIP, IT, RCS | 2018-01-22 13:55 |
Kagawa | Sunport Hall Takamatsu | Deterministic Interleaver Design for Turbo Codes Bohulu Kwame Ackah, Chenggao Han (UEC) IT2017-69 SIP2017-77 RCS2017-283 |
Deterministic interleavers are preferred in the constructing of turbo codes due to the ability to peform interleaving a... [more] |
IT2017-69 SIP2017-77 RCS2017-283 pp.85-90 |
| DC | 2014-02-10 10:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Suitable Power-Aware Test Pattern Ordering for Deterministic Circular Self Test Path Ryo Ogawa, Hiroshi Iwata, Ken'ichi Yamaguchi (NNCT) DC2013-82 |
The power consumption of Very Large Scale Integrated circuit (VLSI) testing is a significant problem. The VLSI should be... [more] | DC2013-82 pp.19-24 |
| NLP | 2013-10-28 15:15 |
Kagawa | Sanport Hall Takamatsu | Canonical Deterministic Particle Swarm Optimization Kenya Jin'no (Nippon Inst. of Tech.) NLP2013-82 |
A particle swarm optimization (PSO) system is one of the powerful systems for solving global optimization problems. The ... [more] | NLP2013-82 pp.69-72 |
| EA, SP, SIP | 2012-05-24 11:35 |
Osaka | Osaka Univ. Nakanoshima Center | Adaptive Generalized Eigen-pair Extraction by A Combination of Normalization and Quasi-Newton Algorithm Tuan Duong Nguyen, Isao Yamada (Tokyo Inst. of Tech.) EA2012-6 SIP2012-6 SP2012-6 |
In this technical report, for a given explicit knowledge of a matrix pencil, we first propose a pair of novel algorithms... [more] | EA2012-6 SIP2012-6 SP2012-6 pp.31-34 |
| NLP | 2012-03-27 16:30 |
Nagasaki | Fukue Cultural Hall | Study of the Relationship between the Network Structure of PSO and the Search Ability Kenya Jin'no, Takahiro Tsujimoto, Takuya Shindo (Nippon Inst. Tech.), Ryosuke Sano, Toshimichi Saito (Hosei Univ.) NLP2011-149 |
Particle swarm optimization ( abbr. PSO ) is one of the most effective optimization algorithms. The found best evaluatio... [more] | NLP2011-149 pp.45-50 |
| CAS, CS, SIP | 2012-03-09 14:50 |
Niigata | The University of Niigata | A Convergence Analysis of G-NPAST Algorithm for Extracting the First Principal Generalized Eigenvector Tuan Duong Nguyen, Isao Yamada (Tokyo Inst. of Tech.) CAS2011-160 SIP2011-180 CS2011-152 |
In our previous work, we established the convergence analysis of the normalized projection approximation subspace tracki... [more] | CAS2011-160 SIP2011-180 CS2011-152 pp.299-302 |
| MBE, NC (Joint) |
2011-11-24 16:35 |
Miyagi | ECEI Departments, Graduate School of Engineering, Tohoku University | A deterministic algorithm for hyperparameter estimation in nonlinear Markov random field model Yoshinori Ohno, Kenji Nagata (Univ. Tokyo), Hayaru Shouno (U.E.C.), Masato Okada (Univ. Tokyo/RIKEN) NC2011-74 |
Image restoration widely used in natural science is often formulated by Markov random field (MRF) model. In MRF model, t... [more] | NC2011-74 pp.17-22 |
| SP | 2011-06-23 15:30 |
Aichi | Nagoya Univ. | Bayesian speech recognition based on model structure integration Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) SP2011-32 |
This paper proposes an acoustic modeling technique using multiple model structures based on a Bayesian framework for spe... [more] | SP2011-32 pp.11-16 |
| NLP | 2010-12-13 09:35 |
Tottori | Yonago Convention Center | Effects of rotation numbers in the canonical deterministic PSO Ryosuke Sano (Hosei Univ.), Kenya Jin'no (NIT), Toshimichi Saito (Hosei Univ.) NLP2010-112 |
The particle swarm optimization ( ab. PSO ) is a typical meta-heuristic algorithm to find approximate solutions of optim... [more] | NLP2010-112 pp.5-10 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-19 15:10 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | The Influence of Network Structure of Deterministic PSO Systems Kenya Jin'no (Nippon Inst. of Tech.) NLP2010-19 NC2010-19 |
A particle swarm optimization (PSO) system is one of the powerful systems for solving global optimization problems. The... [more] |
NLP2010-19 NC2010-19 pp.151-156 |
| SP, NLC | 2009-12-22 15:50 |
Tokyo | Univ. of Tokyo | Factor analysis models representing various voice characteristics for HMM based speech synthesis Kyosuke Kazumi, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) NLC2009-28 SP2009-92 |
This paper describes factor analysis models for realizing various voice characteristics in the HMM-based speech synthe... [more] |
NLC2009-28 SP2009-92 pp.177-182 |
| MSS, CAS | 2009-11-27 10:20 |
Aichi | Nagoya University | Diagnosis of Discrete Event Systems Modeled by Mealy Automata with Nondeterministic Output Functions Shigemasa Takai, Toshimitsu Ushio (Osaka Univ.) CAS2009-53 CST2009-26 |
In the conventional framework for failure diagnosis of discrete event systems, it is assumed that, for each event, the c... [more] | CAS2009-53 CST2009-26 pp.47-52 |
| PRMU | 2009-03-14 10:00 |
Miyagi | Tohoku Institute of Technology | Face recognition based on separable lattice 2-D HMM considering rotational variations Akira Tamamori, Yoshihiko Nankaku, Keiichi Tokuda (NIT) PRMU2008-263 |
In image recognition systems,it needs to deal with geometrical variaions of images such as size, location and rotaion.S... [more] |
PRMU2008-263 pp.159-164 |
| NC, MBE (Joint) |
2009-03-12 13:50 |
Tokyo | Tamagawa Univ. | Model Learning of Normalized Gaussian Networks Using On-line Information Bottleneck EM Algorithm Satoshi Imai, Hiroyuki Seki (Nara Inst. of Sci and Tech.) NC2008-143 |
In this report, we propose a new learning method of stochastic models which have hidden variables. This method estimate... [more] |
NC2008-143 pp.237-242 |
| NC, MBE (Joint) |
2008-12-20 11:05 |
Aichi | Nagoya Inst. Tech. | A Study on Variational Bayes Method with the Primitive Initial Point Yuta Ishikawa, Ichiro Takeuchi (NIT), Ryohei Nakano (Chubu Univ.) NC2008-75 |
The variational bayes (VB) method is widely used as an approximation of the bayes method. Since the objective functio... [more] |
NC2008-75 pp.13-18 |
| PRMU | 2008-12-18 10:00 |
Kumamoto | Kumamoto Univ. | Two Dimensional Pattern Matching for JPEG Images Tomoharu Nakano, Takuya Kida (Hokkaido Univ.) PRMU2008-151 |
We can touch a numerous number of images on the Internet in this days. Almost all images are stored in compressed form.... [more] |
PRMU2008-151 pp.25-30 |
| CAS | 2008-02-01 13:40 |
Okinawa | Non-Uniqueness of Global Solution to Stochastic ML Estimation of DOA Haihua Chen, Masakiyo Suzuki (Kitami Inst. Tech.) CAS2007-101 |
This paper addresses the issue of non-uniqueness or ambiguity of global solutions to Stochastic Maximum Likelihood (SM... [more] |
CAS2007-101 pp.43-48 |
|
| SP | Toyama | Toyama Prefectural University | Acoustic Modeling Based on Model Structure Annealing for Speech Recognition Sayaka Shiota, Kei Hashimoto, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda (Nitech) SP2007-35 |
This paper proposes a joint optimization technique of phonetic decision trees and state sequences for HMM-based speech r... [more] | SP2007-35 pp.67-72 |
|
[Return to Top Page]