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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2024-05-10 10:55 |
Kagawa | Kagawa Prefecture Social Welfare Center | Analysis of the role of latent variables in image classification in deep learning models Kenya Jin'no, Mizuki Dai, Haruki Wakasa, Hiroki Tamegai (Tokyo City Univ.) |
(To be available after the conference date) [more] | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multi-Dialect Speech Synthesis with Interpretable Accent latent Variable based on VQ-VAE Kazuki Yamauchi, Yuki Saito, Hiroshi Saruwatari (UTokyo)  EA2023-98 SIP2023-145 SP2023-80 |
In this paper, we address two tasks: "Intra-dialect Text-to-Speech (TTS)," aiming to synthesize speech in the same diale... [more] | EA2023-98 SIP2023-145 SP2023-80 pp.220-225 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima | Naruto University of Education | The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] | NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
| NLP | 2023-11-28 10:50 |
Okinawa | Nago city commerce and industry association | Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61 |
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] | NLP2023-61 pp.11-14 |
| 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 |
| NLP, MSS | 2023-03-17 13:30 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Investigation of similarity between synonyms using sentence vectors generated by Sentence-BERT Masato Izumi, Kenya Jin'no (Tokyo City Univ.) MSS2022-101 NLP2022-146 |
The sentence vector output by Sentence-BERT has 768 dimensions. These 768 dimensions cannot be completely divided into w... [more] | MSS2022-101 NLP2022-146 pp.182-185 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:45 |
Hokkaido | Hokkaido Univ. | A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Supervised latent variable models aim to estimate a manifold from original data and supervised information, such as clas... [more] | |
| PRMU | 2022-09-15 10:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Effect validation of adversarial auxiliary classifier for video disentanglement Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto (Chiba Univ) PRMU2022-21 |
The Disentanglement of sequential data such as video requires inductive biases to separate static latent variables from ... [more] | PRMU2022-21 pp.67-71 |
| IN, CCS (Joint) |
2022-08-04 11:10 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
A Study on the Role of Latent Variables in Auto Encoder and U-Net Saki Okamoto, Kenya Jinno (Tokyo City Univ.) CCS2022-29 |
Using U-Net, which introduces Contracting Paths (Concat) into Auto Encoder (AE), we trained the system to output a front... [more] | CCS2022-29 pp.16-19 |
| IN, CCS (Joint) |
2022-08-04 11:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Investigating of the sentence vector for input sentences changing in Sentence-BERT by using UMAP Masato Izumi, Kenya Jin'no (Tokyo City Univ) CCS2022-30 |
We have previously studied whether the sentence vectors, distributed representations of sentences generated by Sentence-... [more] | CCS2022-30 pp.20-23 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 10:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluation of sentence-level generation in Japanese dialect speech synthesis using accent latent variables Kazuya Yufune, Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari (UTokyo) EA2021-79 SIP2021-106 SP2021-64 |
Japanese dialect speech synthesis is useful for personalized speech synthesis systems. However, inability to prepare acc... [more] | EA2021-79 SIP2021-106 SP2021-64 pp.96-101 |
| ASN | 2019-01-29 14:25 |
Kagoshima | Kyuukamura Ibusuki | [Poster Presentation]
3D Structure Reconstruction based on Viewpoint Extension and Super-Resolution of Multi-view Images and Its Application in Plants Yixin Sun, Hayato Shimodaira, Shin Kawai, Hajime Nobuhara (Univ. of Tsukuba) ASN2018-99 |
In this study, we propose a method based on viewpoint expansion and super-resolution of multi-viewpoint images to estima... [more] | ASN2018-99 pp.109-113 |
| MBE, NC (Joint) |
2017-11-24 16:50 |
Miyagi | Tohoku University | NC2017-32 |
Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent va... [more] | NC2017-32 pp.29-34 |
| NLP | 2015-11-01 14:30 |
Okinawa | Nobumoto Ohama Memorial Hall | The hierarchical visualizing and learning method in the generative topographic mapping Takehito Oshita (BCI), Mikio Hasegawa (Tokyo Univ. of Science) NLP2015-124 |
Generative Topographic Mapping(GTM) is the latent variable model which is formalized Kohonen’s Self-Organization Map in ... [more] | NLP2015-124 pp.99-103 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | A Calculating Method for Estimation Accuracy of Latent Variables Based on the Free Energy Functions Keisuke Yamazaki (Tokyo Tech), Kazuho Watanabe (NAIST), Daisuke Kaji (Konicaminolta MG) IBISML2012-44 |
(To be available after the conference date) [more] | IBISML2012-44 pp.75-81 |
| IBISML | 2012-06-20 11:30 |
Kyoto | Campus plaza Kyoto | Accuracy of the Bayes Latent Variable Estimation from Mixture of Complete and Incomplete Data Keisuke Yamazaki (Tokyo Tech) IBISML2012-11 |
(To be available after the conference date) [more] | IBISML2012-11 pp.73-77 |
| MBE, NC (Joint) |
2012-03-16 14:35 |
Tokyo | Tamagawa University | Accuracy of Label Distribution Estimation from Mixture of Complete and Incomplete Data Keisuke Yamazaki (Tokyo Inst. of Tech.) NC2011-190 |
(To be available after the conference date) [more] | NC2011-190 pp.405-410 |
| IBISML | 2012-03-13 10:25 |
Tokyo | The Institute of Statistical Mathematics | An Accuracy Analysis of Bayes Latent Variable Estimation with Redundant Variables Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-100 |
(To be available after the conference date) [more] | IBISML2011-100 pp.89-95 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Accuracy Analysis of Latent Variable Estimation with the Maximum Likelihood Estimator Keisuke Yamazaki (Tokyo Inst. of Tech.) IBISML2011-55 |
Hierarchical learning models such as mixture models and hidden Markov models are widely used in machine learning and d... [more] |
IBISML2011-55 pp.87-91 |
| AI | 2009-05-22 11:30 |
Tokyo | Latent Variable Model Focusing on Documents' Topics And Authors' Interests Noriaki Kawamae, Takeshi Yamada (NTT) AI2009-4 |
This paper presents a statistical model that captures not only the low-dimensional set of multinomial distributions over... [more] | AI2009-4 pp.19-24 |
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