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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2024-03-11 16:50 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
A Method of Timbre Synthesis Reflecting Impression Using Conditional-VAE
-- Applying the Temporal Information -- Miyu Yoshikawa, Susumu Kuroyanagi (NIT)  NC2023-49 |
It is difficult to systematically explain the relationship between tones and the impressions people have of them. In th... [more] | NC2023-49 pp.37-42 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 15:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
The Generalized Denoising Autoencoder with Tweedie's Formula Yuta Aishima (NAIST), Sho Sonoda (RIKEN), Noboru Isobe (Tokyo Univ.), Kazushi Ikeda (NAIST) IBISML2023-40 |
Denoising autoencoders learn the score of the data-generating distribution, i.e., $nabla log p(x)$. However, theoretical... [more] | IBISML2023-40 pp.1-5 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Acoustic morphing based on autoencoder for piano scale and reverberation Yuma Hakoda, Takao Tsuchiya (Doshisha Univ.) EA2023-121 SIP2023-168 SP2023-103 |
In game audio, it is common for sound designers to manually express game sounds that change dynamic in game scenes. They... [more] | EA2023-121 SIP2023-168 SP2023-103 pp.346-351 |
| NS, NWS (Joint) |
2024-01-25 13:00 |
Hiroshima | Higashisenda Campus, HiroshimaUniversity + Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Performance evaluation of network anomaly detection and failure scale estimation method. Naoya Ogawa, Ryoichi Kawahara (Toyo Univ.) NS2023-159 |
In this paper, we evaluate the performance of the method proposed in "Network anomaly detection and failure scale estima... [more] | NS2023-159 pp.1-6 |
| SIP, IT, RCS | 2024-01-18 09:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Autoencoder-aided Data-Driven Tuning for Linear Dispersion Code Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-31 SIP2023-64 RCS2023-206 |
In this paper, we consider the application of wireless autoencoder (WAE) to a model of code generation rules for linear ... [more] | IT2023-31 SIP2023-64 RCS2023-206 pp.7-12 |
| SIP, IT, RCS | 2024-01-18 16:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-52 SIP2023-85 RCS2023-227 |
In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure... [more] | IT2023-52 SIP2023-85 RCS2023-227 pp.115-120 |
| IBISML | 2023-12-20 16:25 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Anomaly detection by deep support data descriptions with pseudo-anomaly data Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college) IBISML2023-34 |
This paper presents deep support vector data description (DSVDD) with pseudo-anomaly data that generated by generative m... [more] | IBISML2023-34 pp.25-30 |
| NS, RCS (Joint) |
2023-12-14 16:00 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Evaluation of HttpRequest anomaly detection model using fastText and convolutional autoencoder Haruta Yamada, Ryoichi Kawahara (Toyo Univ.) NS2023-133 |
With the advent of the Internet and its close connection to people's lives, web applications are becoming increasingly i... [more] | NS2023-133 pp.42-47 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 09:20 |
Tottori | (Primary: On-site, Secondary: Online) |
Co-speech Gesture Generation with Variational Auto Encoder Shihichi Ka, Koichi Shinoda (Tokyo Tech) PRMU2023-29 |
Co-speech gesture generation is the study of generating gestures from speech. In prior works, deterministic methods lear... [more] | PRMU2023-29 pp.74-79 |
| AI | 2023-09-12 15:35 |
Hokkaido | Variational Autoencoder Oriented Protection for Intellectual Property Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2023-31 |
In recent years, generative AI, which generates images based on instructions in natural language, has developed rapidly ... [more] | AI2023-31 pp.180-186 |
|
| NS, IN, CS, NV (Joint) |
2023-09-08 09:30 |
Miyagi | Tohoku University (Primary: On-site, Secondary: Online) |
Network anomaly detection and failure scale estimation method Naoya Ogawa, Ryoichi Kawahara (Toyo Univ.) NS2023-57 |
In this paper, we propose a network anomaly detection and failure scale estimation method using AI. For anomaly detectio... [more] | NS2023-57 pp.32-37 |
| CQ, MIKA (Joint) (2nd) |
2023-08-31 10:50 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
Virtual Machine Placement Method Using Autoencoder-Based Traffic Estimator Ami Yamamoto, Takahiro Matsuda (TMU), Junichi Higuchi, Takeshi Kodama, Takashi Shiraishi (Fujitsu) |
In a cloud computing environment with networked virtual machines(VMs) and networked physical hosts, we proposed a traffi... [more] | |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-24 14:00 |
Hokkaido | Hokkaido Jichiro Kaikan | Non-profiled Side-channel Attacks by using Clustering Scores in Deep Learning model (1)
-- Attacks by using Auto Encoder against hardware-implemented AES -- Mizuki Nagahisa, Fukuda Yuta, Yoshida Kota, Fujino Takeshi (Ristumei Univ) ISEC2023-14 SITE2023-8 BioX2023-17 HWS2023-14 ICSS2023-11 EMM2023-14 |
In 2019, Differential Deep Learning Analysis (DDLA) was proposed as a deep-learning based side-channel attack in non-pro... [more] | ISEC2023-14 SITE2023-8 BioX2023-17 HWS2023-14 ICSS2023-11 EMM2023-14 pp.1-6 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-07-01 10:45 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
A Study on generating First-Person Video in moving daily space using variational auto encoders Xu Chenfei (Osaka Univ.), Okadome Yuya (TUS), Ishiguro Hiroshi (Osaka Univ.), Nakamura Yutaka (RIKEN) NC2023-24 IBISML2023-24 |
Current researches on robot navigation mainly emphasize on responsive behaviors, but it usually presents insufficient inte... [more] | NC2023-24 IBISML2023-24 pp.153-158 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Feature Representation of Japanese Pitch Accent and its Perceptual Adequacy
-- Fundamental Study for Application to Japanese Speech Education -- Ikuyo Masuda-Katsuse (Kindai Univ.) SP2023-3 |
For the purpose of application to Japanese speech education, pitch patterns were modeled by Sequential VAE to obtain a f... [more] | SP2023-3 pp.8-13 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Automatic speech recognition model simultaneously recognizes linguistic information and verbal/non-verbal phenomena Nagito Shione, Yukoh Wakabayashi, Norihide Kitaoka (TUT) SP2023-22 |
Although speech recognition technology has advanced in recent years, most of them recognize only linguistic information ... [more] | SP2023-22 pp.109-113 |
| SIS, IPSJ-AVM [detail] | 2023-06-15 11:35 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
Detection of Calcification Regions from Dental Panoramic Radiograph Based on Semantic Segmentation Using Transformers Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-3 |
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] | SIS2023-3 pp.13-18 |
| RCS | 2023-06-16 10:00 |
Hokkaido | Hokkaido University, and online (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for ICA-Aided MIMO Blind Signal Separation Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-68 |
[more] | RCS2023-68 pp.235-240 |
| CCS, NLP | 2023-06-09 13:55 |
Tokyo | Tokyo City Univ. | Analysis of Vocal and Ventricular Folds Data Using Machine Learning Takumi Inoue, Kota Shiozawa, Isao Tokuda (Rits Univ) NLP2023-24 CCS2023-12 |
Vocal fold vibration is a nonlinear phenomenon in the real world. In humans, vocal folds can produce complex sounds by i... [more] | NLP2023-24 CCS2023-12 pp.49-52 |
| NLC, IPSJ-NL | 2023-03-18 16:20 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Contrastive Learning with Attention Pooling for Long Document Summarization Tsukasa Kamo, Toru Sugimoto (SIT) NLC2022-28 |
Automatic summarization using neural networks has improved with the advent of pre-training models based on the Transform... [more] | NLC2022-28 pp.50-54 |
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