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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, SITE, IPSJ-IOT [detail] 2024-03-13
15:55
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
An Evaluation Experiment of Document Retrieval Methods based on Entropy Co-occurrence on Topics in Folk Cultural Materials
Junya Komatsu, Tetsuya Morizumi, Kaito Hosono, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2023-108 IA2023-114
In our general linguistic activities, there are "unspeakable things" such as common knowledge or things implied. It is n... [more] SITE2023-108 IA2023-114
pp.255-262
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
NLP 2023-11-28
13:50
Okinawa Nago city commerce and industry association Considerations on the distribution of latent variables in CNNs
Mizuki Dai, Kenya Jin'no (Tokyo City Univ.) NLP2023-65
Abstract Fully comprehending the output decision mechanisms of neural networks is a critical challenge. This article foc... [more] NLP2023-65
pp.31-34
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
14:40
Tottori
(Primary: On-site, Secondary: Online)
Diffusion-based Geometric Unwarping and Illumination Correction for Document Images
Sota Imahayashi, Guoqing Hao, Satoshi Iizuka, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-36
This study proposes a method to improve the visibility of document images by correcting distortions and re-illuminating ... [more] PRMU2023-36
pp.113-118
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
IA, SITE, IPSJ-IOT [detail] 2023-03-15
15:10
Gunma Maebashi Institute of Technology
(Primary: On-site, Secondary: Online)
Search by topic model to support research of ethnographic materials
Junya Komatsu, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ) SITE2022-56 IA2022-79
In a text retrieval system, there are three types of retrieval methods: word retrieval, textual relationship retrieval, ... [more] SITE2022-56 IA2022-79
pp.15-20
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] Clothes recommendation system based on user's latent interests extracted from vectors of clothes images
Daishi Tanaka, Michiharu Niimi (KIT) EMM2022-75
As the fashion and apparel industry is becoming more and more e-commerce, if you want to buy clothes online such as e-co... [more] EMM2022-75
pp.44-49
SIS 2023-03-03
14:30
Chiba Chiba Institute of Technology
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] On Semantic Image Processing with Autoencoder
Hiroyuki Tsuji (KAIT) SIS2022-58
Variational Auto Encoder (VAE) has a conceptually well-structured latent space and can realize semantic image manipulati... [more] SIS2022-58
pp.97-102
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]
NLP, NC
(Joint)
2020-01-24
10:10
Okinawa Miyakojima Marine Terminal Optimal Transport based Autoencoder for class and style Disentanglement
Florian Tambon, Tetsuo Furukawa (Kyutech) NC2019-62
The Sinkhorn autoencoder is a novel generative model using optimal transport to model the aggregated posterior from samp... [more] NC2019-62
pp.17-22
PRMU, IPSJ-CVIM 2019-05-31
10:00
Tokyo   Cross-modal Search using Visually Grounded Multilingual Speech Signal
Yasunori Ohishi, Akisato Kimura, Takahito Kawanishi, Kashino Kunio (NTT), David Harwath, James Glass (MIT) PRMU2019-11
We evaluate a deep neural network model capable of learning to associate images and audio captions describing the conten... [more] PRMU2019-11
pp.283-288
IBISML 2018-03-06
11:15
Fukuoka Nishijin Plaza, Kyushu University Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex
Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] IBISML2017-101
pp.77-84
IA, SITE, IPSJ-IOT [detail] 2018-03-06
12:05
Tochigi Kinugawa Onsen Hotel What is the Ethics of Probabilistic Existence seen from a Logical One
Tetsuya Morizumi (Kanagawa Univ.) SITE2017-76 IA2017-87
In SCIS2018 [14], we criticized the logical approach in the conventional security model and proposed a conceptual model ... [more] SITE2017-76 IA2017-87
pp.213-219
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
NC, NLP
(Joint)
2017-01-26
16:50
Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. intrinsic viewpoint estimation of multiple survey dataset
Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa (Kyutech) NC2016-54
In the field of computer vision, 3D reconstruction method which estimates the three-dimensional shape of an object captu... [more] NC2016-54
pp.37-41
SP 2015-08-21
10:00
Iwate Iwate Prefectural Univ. Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition
Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT), Akinori Ito (Tohoku Universicty) SP2015-50
This paper proposes a novel language modeling approach called latent word recurrent neural network language model, which... [more] SP2015-50
pp.1-6
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
11:35
Okinawa Okinawa Institute of Science and Technology Multiple Latent Space GTM for Visualization of Tensorial Data
Kazushi Higa, Tetsuo Furukawa (Kyutech) IBISML2015-6
The generative topographic map (GTM) is a continuous latent space model, which enables to visualize a high-dimensional d... [more] IBISML2015-6
pp.33-38
NC 2012-01-26
15:15
Hokkaido Future University Hakodate The learning theory and algorithm of latent multi-dynamical systems -- Implementation by higher-order topographic mapping --
Tetsuo Furukawa, Takashi Ohkubo (Kyutech) NC2011-107
The purpose of this paper is to establish the learning theory of multiple dynamical systems, as well as to develop
the ... [more]
NC2011-107
pp.59-64
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. Image Segmentation and Restoration using Switching State-Space Model and Variational Bayesian Method
Ryota Hasegawa (Kansai Univ.), Ken Takiyama, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-67
We derive a deterministic algorithm that restores and segments image using switching state-space model and variational B... [more] IBISML2011-67
pp.169-174
 Results 1 - 20 of 23  /  [Next]  
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