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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CPSY, DC, IPSJ-ARC [detail] | 2022-10-11 16:15 |
Niigata | Yuzawa Toei Hotel (Primary: On-site, Secondary: Online) |
Low power quantized neural network by reducing the operating voltage of SRAM Ji Wu, Kazuteru Namba (Chiba Univ)  CPSY2022-20 DC2022-20 |
With the advancement of artificial intelligence technologies, neural networks have been attracting attention as a machin... [more] | CPSY2022-20 DC2022-20 pp.14-19 |
| CQ, ICM, NS, NV (Joint) |
2021-11-25 11:05 |
Fukuoka | JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Overhead Reduction for High-Quality Graph-Based Point Cloud Delivery Soushi Ueno, Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Takashi Watanabe (Osaka Univ.) NS2021-85 |
The point cloud expresses three-dimensional (3D) information by using many points on 3D space. It is important to be abl... [more] | NS2021-85 pp.7-12 |
| CAS, NLP | 2021-10-14 10:25 |
Online | Online | Performance Evaluation of All-Pass Fractional Delay Digital Filters under Coefficient Quantization Shunsuke Koshita (Hachinohe Inst. of Tech.) CAS2021-18 NLP2021-16 |
In this paper, performance of IIR fractional delay digital filters given by all-pass transfer functions is evaluated in ... [more] | CAS2021-18 NLP2021-16 pp.7-11 |
| BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2021-07-19 16:55 |
Online | Online | Evaluation on Biometric Template Protection System Based on Somewhat Homomorphic Encryption Hiroto Tamiya, Toshiyuki Isshiki, Kengo Mori (NEC), Satoshi Obana (Hosei Univ.), Tetsushi Ohki (Shizuoka Univ.) ISEC2021-21 SITE2021-15 BioX2021-22 HWS2021-21 ICSS2021-26 EMM2021-26 |
Many biometric template protection systems have been proposed to perform biometric authentication while keeping the biom... [more] | ISEC2021-21 SITE2021-15 BioX2021-22 HWS2021-21 ICSS2021-26 EMM2021-26 pp.68-73 |
| PN, NS, OCS (Joint) |
2021-06-25 10:45 |
Online | Online | Overhead Reduction for Point Cloud Wireless Delivery using Graph Signal Processing Soushi Ueno, Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Takashi Watanabe (Osaka Univ.) NS2021-29 |
Graph-based compression can compact the signal energy of three-dimensional (3D) point cloud and realize high quality 3D ... [more] | NS2021-29 pp.21-26 |
| RCS | 2021-06-25 10:20 |
Online | Online | A Study on Deep Unfolding-Aided Quantized AMP for High-Dimensional Signal Detection Atsunori Shimamura, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2021-68 |
We consider a look-up table (LUT)-based multi-user detection (MUD) via quantized approximate message passing (AMP) in la... [more] | RCS2021-68 pp.226-231 |
| NLP, CCS | 2021-06-11 11:50 |
Online | Online | A Study on Image Compression Method based on Color Quantization Method by Sigma-Delta Cellular Neural Network Fumitoshi Nakashima, Yuka Ito, Ai Mizuno (Chukyo Univ.), Ryohei Mizutani (YAMAZAKI MAZAK), Misa Fujita (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ.) NLP2021-5 CCS2021-5 |
In recent years, Web services have become common and their use has been widespread. The PNG image format is basically u... [more] |
NLP2021-5 CCS2021-5 pp.20-23 |
| QIT (2nd) |
2021-05-25 09:30 |
Online | Online | Acceleration of Extreme Learning Machines by Dequantization of Quantum Singular Value Decomposition Iori Takeda, Souichi Takahira, Kousuke Mitarai, Keisuke Fujii (Osaka Univ.) |
In 2016, the quantum recommendation system was proposed by Kerenidis and Prakash, and it was shown that the singular val... [more] | |
| EMM, IT | 2021-05-21 13:35 |
Online | Online | A Study on Feature Extraction Suitable for Double JPEG Compression Analysis Based on Statistical Bias Observation of DCT Coefficients Daichi Takeshita, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) IT2021-12 EMM2021-12 |
Pictures taken by smart phones and camera devices are generally compressed by JPEG by default when they are saved. If su... [more] | IT2021-12 EMM2021-12 pp.66-71 |
| NLP, MSS (Joint) |
2021-03-16 10:45 |
Online | Online | Approximate formula of the mean square quantization error of golden ratio encoders Yoshikatsu Kashiwabara, Yutaka Jitsumatsu (Kyushu Univ.) NLP2020-63 |
The Golden Ratio Encoder (GRE) is a type of analog-to-digital (A/D) conversion method. GRE expands the input analog valu... [more] | NLP2020-63 pp.47-52 |
| HWS, VLD [detail] | 2021-03-03 11:15 |
Online | Online | The Design and Development of of Quantized Neural Networks Library for Exact Hardware Emulation Masato Kiyama, Yasuhiro Nakahara, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.) VLD2020-70 HWS2020-45 |
Quantization is used to speed up execution time and save power when runnning Deep neural networks (DNNs) on edge devices... [more] | VLD2020-70 HWS2020-45 pp.18-23 |
| SIP, IT, RCS | 2021-01-21 11:45 |
Online | Online | A Study on Secret Key Agreement Scheme by Vector Quantization of Correlated MIMO Channel Matrix Tomoyuki Higashide, Shinsuke Ibi (Doushisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doushisha Univ.) IT2020-69 SIP2020-47 RCS2020-160 |
In the wireless communication, secret key agreement schemes on physical layer attracts attentions for protecting communi... [more] | IT2020-69 SIP2020-47 RCS2020-160 pp.34-39 |
| EA, ASJ-H, EMM | 2020-11-20 09:00 |
Online | Online | [Poster Presentation]
Evaluation on JPEG Image Compression History Analysis Using Histogram of DCT Coefficients with Different Block Size Naoya Nakajima, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2020-30 EMM2020-45 |
The image taken with a digital comera is usually JPEG-compressed when saved. On the other hand, the tampered image is ca... [more] | EA2020-30 EMM2020-45 pp.48-53 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 16:10 |
Online | Online | Numerical research on effects of quantization in SNN learned by backpropagation Yumi Watanabe, Jun Ohkubo (Saitama Univ.) NC2020-14 |
There are many studies to quantize the parameters of neural networks. For example, while there are methods of quantizing... [more] | NC2020-14 pp.29-33 |
| EA, ASJ-H | 2020-08-07 14:55 |
Online | Online | Effect of Spatial Auditory Masking on Perception of Quantization Noise Yuma Yamanaka (Grad. Sch. of Akita Pref. Univ.), Masayuki Nishiguchi, Kanji Watanabe, Shouichi Takane, Koji Abe (Akita Pref. Univ.) EA2020-18 |
Audio reproduction systems, such as 22.2 multi-channel system, generating sound source directions by synthesizing three ... [more] | EA2020-18 pp.29-34 |
| SIS | 2020-03-05 13:30 |
Saitama | Saitama Hall (Cancelled but technical report was issued) |
A Proposal of Color Quantization Algorithm Based on Weighted Principle Component Analysis Using Saturation Seiichi Kojima, Tomoki Kusunoki (Yamaguchi Univ.), Yoshiaki Ueda (Fukuoka Univ.), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2019-40 |
In a 24 bit full color image, there are about 16 millions possible colors. On the other hand, in a limited color image, ... [more] | SIS2019-40 pp.19-22 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:40 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Note on Eye Gaze Based User-specific Interest Estimation for Images
-- Estimation Performance Improvement Based on sMVCCA including Ordinal Label Dequantization -- Masanao Matsumoto (Hokkaido Univ.), Naoki Saito (NIT, Kushiro College), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents supervised multiview canonical correlation analysis via ordinal label dequantization (sMVCCA-OLD) fo... [more] | |
| SAT, SANE (Joint) |
2020-02-19 10:00 |
Okinawa | Multi-bit Δ-Σ Modulator Based DSP Transceiver for High Dynamic Range Chirp Radar System Tomoki Abe, Yamao Yasushi (UEC) SANE2019-97 |
This paper proposes a novel digital signal processing (DSP) radar transceiver that consists of a multi-bit quadrature Δ-... [more] | SANE2019-97 pp.1-6 |
|
| SDM | 2020-01-28 14:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Invited Talk]
Can in-memory/Analog Accelerators be a Silver Bullet for Energy-efficient Inference? Jun Deguchi, Daisuke Miyashita, Asuka Maki, Shinichi Sasaki, Kengo Nakata, Fumihiko Tachibana, Ryuichi Fujimoto (KIOXIA) SDM2019-85 |
This presentation introduces and discuss recent trends on in-memory/analog computing for deep learning inference, which ... [more] | SDM2019-85 p.11 |
| NLP, NC (Joint) |
2020-01-24 13:50 |
Okinawa | Miyakojima Marine Terminal | Ternarized Backpropagation for Edge AI and its FPGA Implementation Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) NLP2019-95 |
In recent years there has been growing more interest in machine/deep learning. As following this movement, many types ... [more] |
NLP2019-95 pp.53-58 |
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