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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SR, SRW (Joint) |
2023-03-01 10:50 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Reduction of Out-of-Band Radiation with Quantized Precoding using Gibbs Sampling in Massive MU-MIMO-OFDM Kenshiro Chuman, Yukitoshi Sanada (Keio Univ.)  RCS2022-249 |
(To be available after the conference date) [more] | RCS2022-249 pp.15-20 |
| CCS, NLP | 2022-06-10 10:55 |
Osaka | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Computation and learning based on dual stochasticity of the brain Jun-nosuke Teramae (Kyoto Univ.) NLP2022-16 CCS2022-16 |
Neurons and synapses in the brain are highly stochastic devices. Neurons responsible for signal propagation in the brain... [more] | NLP2022-16 CCS2022-16 pp.78-83 |
| RCS | 2021-06-24 09:30 |
Online | Online | Weight Adjustment in Channel Estimation using Gibbs Sampling for MIMO Systems Kenshiro Chuman, Yukitoshi Sanada (Keio Univ.) RCS2021-46 |
(To be available after the conference date) [more] | RCS2021-46 pp.103-108 |
| RCS | 2021-06-24 10:00 |
Online | Online | Reduction of Out-of-Band Radiation with Quantized Precoding using Gibbs Sampling in Massive MU-MIMO-OFDM Taichi Yamakado, Riki Okawa, Yukithoshi Sanada (Keio Univ.) RCS2021-49 |
In this paper, a non-linear precoding algorithm with low out-of-band (OOB) radiation in a Massive multiple-input multipl... [more] | RCS2021-49 pp.121-126 |
| RCS | 2020-06-24 - 2020-06-26 |
Online | Online | Forcible Search Scheme for Mixed Gibbs Sampling Massive MIMO Detection Kenji Yamazaki, Sanada Yukitoshi (Keio Univ.) RCS2020-55 |
In this paper, mixed Gibbs sampling multiple-input multiple-output (MIMO) detection with forcible search is proposed. In... [more] | RCS2020-55 pp.193-198 |
| RCS | 2020-06-24 - 2020-06-26 |
Online | Online | Block Parallel Gibbs Sampling MIMO Detection with Maximum Ratio Combining Kosuke Tomura, Yukitoshi Sanada, Yutaro Kobayashi (Keio Univ.) RCS2020-56 |
In this report, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a c... [more] | RCS2020-56 pp.199-204 |
| IT, SIP, RCS | 2020-01-24 09:30 |
Hiroshima | Hiroshima City Youth Center | Precoder Design Algorithm using Spatial Signal Synthesis with Multiple Antenna Subset Selection for Hybrid MIMO System Daichi Tamate, Yukitoshi Sanada (Keio Univ.) IT2019-60 SIP2019-73 RCS2019-290 |
In this paper, a precoder design algorithm using spatial signal synthesis with selected multiple antennas for hybrid mul... [more] | IT2019-60 SIP2019-73 RCS2019-290 pp.135-141 |
| RCS | 2019-06-20 11:20 |
Okinawa | Miyakojima Hirara Port Terminal Building | Quantized Precoding using Gibbs Sampling in Massive MIMO Downlink Riki Okawa, Yukitoshi Sanada (Keio Univ.) RCS2019-73 |
The sum rate performance of quantized precoding using Gibbs sampling is evaluated in a massive multiple-input multiple-o... [more] | RCS2019-73 pp.221-226 |
| RCS | 2018-06-21 11:30 |
Nagasaki | Nagasaki University | Precoder Design Algorithm using Gibbs Sampling for Hybrid MIMO System Daichi Tamate, Yukitoshi Sanada (Keio Univ.) RCS2018-54 |
In this paper, a precoder design algorithm using Gibbs sampling for hybrid multiple-input multiple-output (MIMO) systems... [more] | RCS2018-54 pp.113-118 |
| VLD, HWS (Joint) |
2018-03-01 10:30 |
Okinawa | Okinawa Seinen Kaikan | A Motif Extraction Method Using Monte-Carlo Tree Search and its Experimental Evaluation Yusuke Yuasa, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-108 |
Discovering a similar substring from multiple strings is called motif extraction. It is used in various fields including... [more] | VLD2017-108 pp.115-120 |
| IT | 2014-09-19 13:25 |
Chiba | Algorithms for Generating Constrained Random Numbers and Their Application to Channel Coding Jun Muramatsu (NTT) IT2014-47 |
This paper introduces algorithms for generating random numbers that satisfy a condition specified by a function and its ... [more] | IT2014-47 pp.37-42 |
|
| DE, IPSJ-DBS, IPSJ-IFAT | 2013-07-23 16:00 |
Hokkaido | Hokkaido University | Gibbs Sampling Estimation of Maximum Margin Supervised Topic Models for Regression Ryosuke Ueno, Koji Eguchi (Kobe Univ.) DE2013-31 |
Regression based on latent topics is one of the promising approaches for analyzing a collection of documents associated ... [more] | DE2013-31 pp.187-192 |
| PRMU | 2013-06-10 13:30 |
Tokyo | Topic Models Taking into Account Burstiness of Local Features in Video Yang Xie, Koji Eguchi (Kobe Univ.) PRMU2013-20 |
In this paper we propose a topic model, Corr-DCMLDA, which can integrate visual words and the corresponding speech trans... [more] | PRMU2013-20 pp.5-10 |
|
| NS, RCS (Joint) |
2012-12-14 09:00 |
Ehime | Ehime Univ. | [Encouragement Talk]
Performance Evaluation of Distributed User Association based on User Utility in Wireless Networks Takahiro Iwami, Tsutomu Inamoto, Yumi Takaki (Kobe Univ.), Kyoko Yamori (Asahi Univ.), Chikara Ohta, Hisashi Tamaki (Kobe Univ.) NS2012-134 |
In recent, public WLANs based on IEEE802.11 standard are widely deployed. In an environment that several APs (Access Poi... [more] | NS2012-134 pp.103-108 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | An Efficient Sampling Algorithm for Bayesian Variable Selection Takamitsu Araki, Kazushi Ikeda (NAIST) IBISML2012-75 |
In Bayesian variable selection, a Gibbs variable selection (GVS) is one of the most famous sampling algorithms, and has ... [more] | IBISML2012-75 pp.291-295 |
| MI | 2012-07-20 09:50 |
Yamagata | Yamagata Univ. | Labeling an image sequence of NBI videoendoscopy with MRF and DP Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Yoshito Takemura, Keiichi Onji, Rie Miyaki, Shinji Tanaka (Hiroshima Univ.) MI2012-30 |
in this paper, we will introduce temporal labeling method using SVM and MRF. The recognition method using Bag-of-Visual ... [more] | MI2012-30 pp.47-52 |
| PRMU, SP | 2012-02-09 16:30 |
Miyagi | [Poster Presentation]
Recognition for NBI Videoendoscopy Using MRF Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) PRMU2011-207 SP2011-122 |
In this paper, we introduce temporal labeling using Markov Random Fields(MRF) to smooth labels for NBI video endoscopy.F... [more] | PRMU2011-207 SP2011-122 pp.115-116 |
|
| MI | 2012-01-19 17:00 |
Okinawa | Accuracy improvement of the landmark detection system withafastout-of-imaging-range LM position estimation algorithm Shouhei Hanaoka, Yoshitaka Masutani, Mitsutaka Nemoto, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (Univ. of Tokyo) MI2011-115 |
We have been developed an automatic detection system for anatomical landmarks in torso CT images. However, the system h... [more] | MI2011-115 pp.209-214 |
|
| IBISML | 2011-03-28 11:30 |
Osaka | Nakanoshima Center, Osaka Univ. | MPI/OpenMP Hybrid Parallel Inference for Latent Dirichlet Allocation Shotaro Tora, Koji Eguchi (Kobe Univ.) IBISML2010-118 |
In recent years, probabilistic topic models have been applied to various kinds of data including text data, and its effe... [more] | IBISML2010-118 pp.101-108 |
| MI | 2010-09-03 16:25 |
Saitama | A landmark set optimization algorithm from large lists of detected candidates of multiple landmarks Shouhei Hanaoka, Yoshitaka Masutani, Yukihiro Nomura, Mitsutaka Nemoto, Eriko Maeda, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Tokyo univ.) MI2010-63 |
Landmark detection algorithms are usable for many medical image processing. However, some false detection or inconsiste... [more] | MI2010-63 pp.67-74 |
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