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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ISEC, IT, WBS | 2024-03-13 14:40 |
Osaka | Osaka Univ. (Suita Campus) | Sparse Superposition Codes Using Second Order Reed-Muller: Orthogonal Encoding Tsukasa Osaka (Doshisha Univ.), Guanghui Song (Xidian Univ.), Tomotaka Kimura, Jun Cheng (Doshisha Univ.)  IT2023-92 ISEC2023-91 WBS2023-80 RCC2023-74 |
A family of block orthogonal sparse superposition codes is proposed. The dictionary matrix consists of all the second o... [more] |
IT2023-92 ISEC2023-91 WBS2023-80 RCC2023-74 pp.108-113 |
| RCC, ISEC, IT, WBS | 2024-03-14 17:00 |
Osaka | Osaka Univ. (Suita Campus) | Comparison of Scale Parameter Dependence of Estimation Performance in Sparse Bayesian Linear Regression Model with Variance Gamma Prior Distribution and t-Prior Distribution Kazuaki Murayama (UEC) IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 |
In the sparse estimation with linear regression model, the variance gamma distribution and t-distribution can be used as... [more] | IT2023-135 ISEC2023-134 WBS2023-123 RCC2023-117 pp.374-379 |
| EMM | 2024-03-02 14:00 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Poster Presentation]
Classification of AI generated images by sparse coding Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89 |
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] | EMM2023-89 pp.1-6 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 16:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
EA2023-77 SIP2023-124 SP2023-59 |
In this paper, we consider a dynamic sensor placement problem where sensors can move within a network over time. Sensor ... [more] | EA2023-77 SIP2023-124 SP2023-59 pp.97-102 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 12:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Mixing Method of Remote Choral Sound Source by Component Selection Using Sparse Representation Haruki Ota, Kota Takahashi (UEC) EA2023-117 SIP2023-164 SP2023-99 |
We are working on a technique to create choral sound sources by mixing singing sound sources recorded at different place... [more] | EA2023-117 SIP2023-164 SP2023-99 pp.327-332 |
| SIP, IT, RCS | 2024-01-18 11:45 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.) IT2023-34 SIP2023-67 RCS2023-209 |
Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] | IT2023-34 SIP2023-67 RCS2023-209 pp.25-30 |
| SS, MSS | 2024-01-18 11:55 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Design of Block-Sparse Controllers for Cyber-Physical Systems Yuta Kawano, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2023-65 SS2023-44 |
In sensor and actuator networks, it is important to consider not only the choice of sensors/actuators but also that of c... [more] | MSS2023-65 SS2023-44 pp.76-80 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Sparse identification of quantum dynamics via quantum circuit learning Yusei Tateyama, Yuzuru Kato (FUN) |
Sparse Identification of Nonlinear Dynamics (SINDy) is a data-driven method for estimation and prediction of nonlinear d... [more] | |
| CPSY, IPSJ-ARC, IPSJ-HPC | 2023-12-05 17:40 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Evaluation of conversion overheads for the sparse matrix format appliying indices of the non-zero elements dictionary compression to accelerate SpMV on GPU Shun Murakami (JAIST), Kazunori Yoneda, Iwamura Takashi, Masahiro Watanabe (Fujitsu Japan), Yasushi Inoguchi (JAIST) CPSY2023-31 |
In recent years, as numerical simulations have become increasingly complex and large-scale. There is a growing demand fo... [more] | CPSY2023-31 pp.25-30 |
| CPSY, IPSJ-ARC, IPSJ-HPC | 2023-12-06 17:15 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
An Efficient Sparse Matrix Storage Format for Sparse Matrix-Vector Multiplication and Sparse Matrix-Transpose-Vector Multiplication on GPUs Ryohei Izawa, Yasushi Inoguchi (JAIST) CPSY2023-37 |
The utilization of sparse matrix storage formats is widespread across various fields, including scientific computing, ma... [more] | CPSY2023-37 pp.58-63 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 15:40 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
High-Level Synthesis Implementation of a Reservoir Computing based on Chaotic Boltzmann Machine
-- Improving scalability and efficiency of sparse matrix multiplication through a dedicated data compression in external memory -- Shigeki Matsumoto, Yuki Ichikawa, Nobuki Kajihara (IVIS), Hakaru Tamukoh (kyutech) VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 |
This paper reports on an FPGA implementation of Chaotic Boltzmann Machine Reservoir Computing (CBM-RC). The reservoir wi... [more] | VLD2023-75 ICD2023-83 DC2023-82 RECONF2023-78 pp.231-236 |
| MI, MICT | 2023-11-14 15:40 |
Fukuoka | Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29 |
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] | MICT2023-36 MI2023-29 pp.45-47 |
|
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-03 11:35 |
Hokkaido | Consideration on Sound Source Distance Measurement by Complex Sparse Bayesian Estimation Using a Small Microphone Array System Senta Ariizumi, Teruki Toya, Kenji Ozawa (UoY) EA2023-17 |
In this study, we aim to measure the distance to a sound source by sparse Bayesian estimation using a small-scale microp... [more] | EA2023-17 pp.72-77 |
|
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 16:50 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi, Atsutoshi Kumagai, Yasuhiro Fujiwara (NTT) NC2023-8 IBISML2023-8 |
When we use discrete optimal transport (OT) for unsupervised domain adaptation, a group-sparse regularizer is frequently... [more] | NC2023-8 IBISML2023-8 pp.48-55 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-19 10:30 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
Privacy Preserving Deep Unrolling Methods using Random Unitary Transform Nichika Yuge, Takayuki Nakachi, Morikazu Nakamura (Univ. of the Ryukyus.) SIP2023-10 BioX2023-10 IE2023-10 |
Edge and cloud computing has been spreading in many fields including machine learning.Sparse modeling attracts attention... [more] | SIP2023-10 BioX2023-10 IE2023-10 pp.41-46 |
| AP | 2023-04-14 15:20 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
Underdetermined Direction-Of-Arrival Estimation by Sparse Arrays
-- Array Configuration Optimization for Enhancing Degree of Freedom -- Koichi Ichige (Yokohama National Univ.) AP2023-7 |
This paper introduces various sparse array configurations, and shows that underdetermined (more number of sources than t... [more] | AP2023-7 pp.34-39 |
| RCC, ISEC, IT, WBS | 2023-03-14 15:20 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Estimation Performance of Sparse Bayesian Linear Regression model with t-distribution Kazuaki Murayama (UEC) IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 |
In the sparse estimation with linear regression model, the t-distribution can be used as a prior distribution. We analyz... [more] | IT2022-105 ISEC2022-84 WBS2022-102 RCC2022-102 pp.236-241 |
| RCC, ISEC, IT, WBS | 2023-03-15 09:30 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
Design Using Sparse Optimization of Consensus Dynamics in High-Order Multi-Agent Systems Ryosuke Adachi, Yuji Wakasa (Yamaguchi Univ.) IT2022-107 ISEC2022-86 WBS2022-104 RCC2022-104 |
This work considers the consensus problem of multi-agent systems with high-order dynamics. When the dynamics of each age... [more] | IT2022-107 ISEC2022-86 WBS2022-104 RCC2022-104 pp.248-250 |
| NC, MBE (Joint) |
2023-03-15 10:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Proposal of Node Fusion in Sparse DenseNet Shogo Taneda, Shoma Noguchi, Yukari Yamauchi (Nihon Univ.) NC2022-110 |
Gao Huang et al. proposed a deep learning model called DenseNet. This deep learning model successfully prevents informat... [more] | NC2022-110 pp.105-108 |
| MI | 2023-03-07 15:25 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
An artifact reduction technique for sparse-view CT using frame interpolation Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-120 |
Sparse-view CT is an imaging technique that reconstructs images by reducing the number of projection data. Although spar... [more] | MI2022-120 pp.190-191 |
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