| 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 # | |
| MI | 2020-01-30 10:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Okinawa) | Construction of Basis Vectors for Representation of Immunostaining Combination by Non-negative Matrix Decomposition Kaho Ko, Noriaki Hashimoto, Tatsuya Yokota (NITech), Masato Nakaguro, Kei Kohno, Shigeo Nakamura (NUH), Ichiro Takeuchi, Hidekata Hontani (NITech)  MI2019-99 |
In this paper, we propose a method that constructs a set of basis vectors for representing combination of immunostaining... [more] | MI2019-99 pp.151-154 |
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 10:35 |
Okayama | (Okayama) | [Short Paper]
Dynamic PET Image Reconstruction using Non-Negative Matrix Decomposition with Deep Image Prior Tomoshige Shimomura, Kazuya Kawai (NIT), Muneyuki Sakata (Tokyo Metro. Inst. Gerontology), Yuichi Kimura (KU), Tatsuya Yokota, Hidekata Hontani (NIT) PRMU2019-24 MI2019-43 |
We present a PET image reconstruction method that can reconstruct dynamic PET images with high SN ratio and can simultan... [more] | PRMU2019-24 MI2019-43 pp.69-70 |
| CQ, ICM, NS, NV (Joint) |
2018-11-16 11:30 |
Ishikawa | (Ishikawa) | Trend analysis method of operational data based on component decomposition using Non-negative Matrix Factorization Yuji Saitoh, Tetsuya Uchiumi, Yukihiro Watanabe (FUJITSU LAB.) ICM2018-32 |
In the ICT system, Understanding the trend of operational data such as the CPU usage rate is useful for system improveme... [more] | ICM2018-32 pp.45-50 |
| MBE, NC (Joint) |
2017-03-13 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Tokyo) | Experimental Analysis of Real Log Canonical Threshold in Non-negative Matrix Factorization Naoki Hayashi, Sumio Watanabe (Tokyo Tech) NC2016-78 |
For the real log canonical threshold ( RLCT ) that gives the Bayesian generalization error of non-negative matrix factor... [more] | NC2016-78 pp.85-90 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. (Kyoto) | Approximate Value Iteration Algorithms for Partially Observable Markov Decision Processes in Geometric Dual Representation Hiroshi Tsukahara, Mitsuru Anbai, Makoto Oobayashi (Denso IT Lab.) IBISML2016-71 |
We propose new approximate algorithms for the value iteration of partially observable Markov decision processes (POMDPs... [more] |
IBISML2016-71 pp.177-184 |
| EA, SP, SIP | 2016-03-29 09:00 |
Oita | Beppu International Convention Center B-ConPlaza (Oita) | [Poster Presentation]
Quality improvement of HMM-based synthesized speech based on decomposition of naturalness and intelligibility using asymmetric bilinear model with non-negative matrix factorization Anh-Tuan Dinh, Masato Akagi (JAIST) EA2015-113 SIP2015-162 SP2015-141 |
HMM-based synthesized voices are intelligible but not natural especially in limited data condition because of over-smoot... [more] | EA2015-113 SIP2015-162 SP2015-141 pp.261-266 |
| MBE, NC (Joint) |
2015-12-19 14:25 |
Aichi | Nagoya Institute of Technology (Aichi) | Estimating muscle synergy by considering the occured redundancy Sho Yokoyama, Kiryu Tohru, Tanahashi Shigehito (Niigata Univ) MBE2015-72 |
There has been many studies based on muscle synergy hypothesis. However, estimated muscle synergies don’t have manifesta... [more] | MBE2015-72 pp.55-59 |
| NLC, SP (Joint) [detail] |
2010-12-21 16:40 |
Tokyo | National Olympics Memorial Youth Center (Tokyo) | Non-negative matrix factorization of segmental STRAIGHT speech spectrograms Makoto Koseki, Kazunori Mano (Shibaura Inst. of Tech.) NLC2010-27 SP2010-100 |
In this paper, we propose a new framework of non-negative matrix factorization (NMF) applied to segmental speech for spe... [more] | NLC2010-27 SP2010-100 pp.183-188 |
[Return to Top Page]