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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 11:25 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Joint Estimation of Differential Equations and Latent Event Types from Temporal Point Processes Shuichi Miyazawa (SOKENDAI), Daichi Mochihashi (ISM)  IBISML2023-50 |
Ordinary differential equations (ODEs) help the interpretation of phenomena in various scientific fields. ODEs are often... [more] | IBISML2023-50 pp.71-78 |
| HWS, VLD | 2023-03-01 11:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Acceleration of Memristor Modeling Based on Machine Learning Using Gaussian Process Yuta Shintani, Michiko Inoue (Naist), Michihiro Shintani (Kyoto Institute of Technology) VLD2022-75 HWS2022-46 |
There has been a great deal of research into the development of domain-specific circuits for multiply-and-accumulate pro... [more] | VLD2022-75 HWS2022-46 pp.13-18 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 13:00 |
Online | Online | Nonparametric Bayesian Deep Visualization Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) NC2021-1 IBISML2021-1 |
(To be available after the conference date) [more] | NC2021-1 IBISML2021-1 pp.1-8 |
| NLP, CCS | 2021-06-11 10:50 |
Online | Online | A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression Munetaka Noguchi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-3 CCS2021-3 |
Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated ... [more] | NLP2021-3 CCS2021-3 pp.10-13 |
| IBISML | 2020-10-21 10:25 |
Online | Online | IBISML2020-19 |
Due to the decreasing birthrate and labor force, expectations are rising for the automatic operation of various robots a... [more] | IBISML2020-19 p.36 |
| SP | 2020-01-29 11:30 |
Toyama | Application of Deep Gaussian Process to Multi-Speaker Text-to-Speech Synthesis using Speaker Codes Kentaro Mitsui, Tomoki Koriyama, Hiroshi Saruwatari (UTokyo) SP2019-49 |
Speaker codes are widely used to achieve multi-speaker text-to-speech synthesis. Conventionally, Deep Neural Network (D... [more] |
SP2019-49 pp.31-36 |
|
| IT, ISEC, WBS | 2019-03-07 15:05 |
Tokyo | University of Electro-Communications | Innovations, σ-Fields, and Martingales Associated with Viterbi Decoding of Convolutional Codes Masato Tajima IT2018-98 ISEC2018-104 WBS2018-99 |
In the previous paper, by comparing with the results in the linear filtering theory, we have introduced the notion of in... [more] | IT2018-98 ISEC2018-104 WBS2018-99 pp.137-142 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:50 |
Okinawa | On the Use of Deep Gaussian Processes for GPR-based Speech Synthesis Tomoki Koriyama, Takao Kobayashi (Tokyo Inst. of Tech.) EA2017-106 SIP2017-115 SP2017-89 |
This paper proposes a speech synthesis framework based on deep Gaussian processes (DGPs). DGP is a Bayesian deep learn... [more] |
EA2017-106 SIP2017-115 SP2017-89 pp.27-32 |
|
| IE | 2016-07-01 16:15 |
Okinawa | Automatic Generation of Pencil-like Rough Sketchy Image in Consideration of Omitting Details and Repeating Fluctuated Strokes Kozi Matsumoto, Hiromi Yoshida, Yozi Iiguni (Osaka Univ) IE2016-46 |
Recently, various NPR (Non-Photorealistic Rendering) systems were proposed. They can save employment cost and time for d... [more] | IE2016-46 pp.61-66 |
|
| SSS | 2013-12-19 13:00 |
Tokyo | Uncertainty Assessment of Solar Radiation Forecasting under Smart Grid Environment Masato Takhashi, Hiroyuki Mori (Meiji Univ.) SSS2013-28 |
This paper proposes a kernel machine method for forecast solar radiation prediction with Gaussian Processes. Recently, r... [more] | SSS2013-28 pp.1-4 |
|
| SIP | 2013-08-29 16:10 |
Tokyo | Tokyo University of Agriculture and Technology | [Tutorial Lecture]
Tensor-Based Machine Learning: Modeling, Algorithms and Applications Qibin Zhao, Andrzej Cichocki (RIKEN) SIP2013-73 |
Tensors are a generalization of vectors and matrices to higher dimensions that can naturally represent the multidimensio... [more] | SIP2013-73 pp.35-40 |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-19 16:35 |
Osaka | Gaussian Processes based Pre-fault detection with multi-resolutional temporal analysis Shinsaku Ozaki (Wakayama Univ.), Hisae Shibuya, Shunji Maeda (Hitachi, Ltd.), Toshikazu Wada (Wakayama Univ.) PRMU2011-159 MVE2011-68 |
We have been proposed a pre-fault detection system based on Gaussian Processes (GP). The advantage of GP based pre-fault... [more] | PRMU2011-159 MVE2011-68 pp.109-114 |
|
| PRMU, MI, IE | 2011-05-20 13:30 |
Aichi | Connection between Gaussian Processes and Similarity Based Modeling for Anomaly Detection Shinsaku Ozaki, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) IE2011-32 PRMU2011-24 MI2011-24 |
Anomaly detection can be applied to health monitoring of industrial plants, human medical conditions, vehicle conditions... [more] | IE2011-32 PRMU2011-24 MI2011-24 pp.133-138 |
|
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 09:25 |
Shiga | Fault Detection and Prediction of Industrial Plants Based on Gaussian Processes Shinsaku Ozaki, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) PRMU2010-175 MVE2010-100 |
This report proposes a fault and pre-fault detection method for industrial plants based on Gaussian process. Industrial ... [more] | PRMU2010-175 MVE2010-100 pp.211-216 |
|
| SP | 2009-01-30 15:30 |
Nara | NAIST | Low-delay voice conversion algorithm based on maximum likelihood estimation of spectral parameter trajectory Takashi Muramatsu, Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano (Nara Inst. of Scie and Tech.) SP2008-141 |
In this paper, we aim to achieve high-quality and real-time VC considering spectral conversion method and post-processin... [more] | SP2008-141 pp.91-96 |
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