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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
16:45
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Visualization of diverse solutions with different number of topics in topic models
Toshio Uchiyama, Tsukasa Hokimoto (HIU) IBISML2023-44
The Latent Dirichlet analysis is known as a topic model that is useful
for analyzing data such as documents. The hiera... [more]
IBISML2023-44
pp.29-35
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
16:40
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
On the analysis of diverse solutions in topic models
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2022-124 IBISML2022-131
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are known as topic models to analyze text data and ... [more] PRMU2022-124 IBISML2022-131
pp.355-362
MI 2022-07-09
13:30
Hokkaido
(Primary: On-site, Secondary: Online)
[Special Talk] Development of medical decision support with information and communication technology -- Telemedicine in Hokkaido to cloud and AI --
Masahito Uesugi (Hokkado Info. Univ.) MI2022-45
In Hokkaido, medical institutions are scattered over a vast area, and telemedicine has become widespread in order to eli... [more] MI2022-45
pp.50-52
MBE, IEE-MBE 2022-06-17
15:50
Online Online MBE2022-11 In the aging society, many fall accidents occur in various places, often leading to serious injury. Elderly people who h... [more] MBE2022-11
p.13
PRMU 2020-09-02
10:00
Online Online A method for clarifying differences between feature distributions of various solutions about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more]
PRMU2020-8
pp.1-6
HCS 2020-03-05
11:30
Online Online Meeting [Online] Robust Negative-Suggestion Effects and Weak Prototype Effects in Face Memory -- An Account by the Processing-Fluency Heuristic --
Takashi Kato (Kansai Univ), Shigeru Mukaida (Hokkaido Information Univ), Koji Tanaka (KIT) HCS2019-95
Using featural prototypes (novel faces synthesized with features taken from separate original faces) and configural prot... [more] HCS2019-95
pp.59-64
PRMU 2019-12-19
10:30
Oita   A switching Markov model for evaluation of food functionality
Tsukasa Hokimoto, Toshio Uchiyama (HIU) PRMU2019-46
For analytic purposes of the scientific processes on how food influence our health, the measurement data on medical or g... [more] PRMU2019-46
pp.1-6
PRMU 2019-12-20
10:00
Oita   Analysis method and results of solution diversity about topic model
Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2019-54
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more]
PRMU2019-54
pp.49-54
HIP 2019-10-30
13:35
Kyoto Kyoto Terrsa Prototype and Negative-Suggestibility Effects in Face Memory -- A Processing Fluency Account --
Takashi Kato (Kansai Univ), Shigeru Mukaida (Hokkaido Information Univ) HIP2019-48
Using featural prototypes (i.e., novel faces with studied features taken from separate study faces), this study examined... [more] HIP2019-48
pp.7-12
HCS 2019-03-07
15:50
Hokkaido Hokusei Gakuen Univ. First impressions of the face affected by the configuration and size of the eyes and facial coloration -- Are healthy-looking faces attractive? --
Takashi Kato (Kansai Univ.), Shigeru Mukaida (Hokkaido Information Univ.) HCS2018-73
Using female faces this study investigated the effects of the configuration and size of the eyes and facial coloration o... [more] HCS2018-73
pp.37-41
PRMU, SP 2018-06-28
16:30
Nagano   Analysis of solution diversity about topic model
Toshio Uchiyama (HIU) PRMU2018-26 SP2018-6
A Topic model is known as a useful statistical model for analyzing text
data and images. Many different parameters (s... [more]
PRMU2018-26 SP2018-6
pp.25-30
NLP, CCS 2018-06-10
11:45
Kyoto Kyoto Terrsa Cooperation and Payoff in public goods game on complex networks -- The relation between dynamics and topology change --
Takumi Takahashi, Norihito Toyota (HIU) NLP2018-44 CCS2018-17
In this research we simulate iterated public goods game with various strategies on complex networks for studying the r... [more] NLP2018-44 CCS2018-17
pp.91-96
PRMU, SP 2017-06-22
17:00
Miyagi   Investigation of solution diversity about probabilistic latent semantic analysis using normalized mutual information
Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2017-31 SP2017-7
Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet
analysis are known as topic models to analyze text ... [more]
PRMU2017-31 SP2017-7
pp.33-38
PRMU, SP, WIT, ASJ-H 2016-06-13
15:00
Tokyo   Improvement of probabilistic latent semantic analysis using weighted information theoretic clustering
Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2016-43 SP2016-9 WIT2016-9
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
models to analyze images and documents. This ... [more]
PRMU2016-43 SP2016-9 WIT2016-9
pp.47-52
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-15
10:45
Ehime   Improvement of nonnegative matrix factorization for probabilistic latent semantic analysis
Toshio Uchiyama (HIU) PRMU2015-83 IBISML2015-43
Nonnegative Matrix Factorization (NMF) is equivalent to PLSA
(Probabilistic Latent Semantic Analysis), when it uses ge... [more]
PRMU2015-83 IBISML2015-43
pp.117-122
NLP, CAS 2014-10-16
14:35
Ehime Ehime University The Relation Between Cycles and Propagation Phenomenon Based on Ego Network Analysis
Tomoharu Sakamoto, Norihito Toyota, Fumiho Ogura (Hokkaido Information Univ.) CAS2014-62 NLP2014-56
The relation between cycles and a propagation phenomenon on a network has not been yet elucidated well so far.
We propo... [more]
CAS2014-62 NLP2014-56
pp.57-62
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
10:30
Ibaraki   Nonnegative Matrix Factorization using competitive learning
Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2014-37 IBISML2014-18
Nonnegative Matrix Factorization (NMF) is a popular technique in data processing, and convergence-guranteed multiplicati... [more] PRMU2014-37 IBISML2014-18
pp.7-12
KBSE, SS 2011-07-29
16:30
Hokkaido Hokkaido Information University [Invited Talk] A consideration of growth processes and changes in Software Architecture
Yoshitomi Morisawa (HIU) SS2011-21 KBSE2011-18
Focusing on both business and technological aspects of software architectures, we identify and describe growth processes... [more] SS2011-21 KBSE2011-18
pp.49-56
MI 2011-07-12
14:10
Hokkaido Hokkaido University Semi-automated Extraction of Brain Hematoma from CT images Using Improved Region-Growing Method
Tsuyoshi Kitagawa (Nakamura Memorial Hosp.), Ayako Yagahara (Hokkaido Univ.), Kensuke Fujiwara (Career College NIHON FUKUSHIKANGO/SHINRYOUHOUSYASEN GAKUIN), Go Inoue (Nakamura Memorial Hosp.), Naoki Nishimoto (Hokkaido Univ.), Masato Uesugi (Hokkaido Information Univ.), Katsuhiko Ogasawara (Hokkaido Univ.) MI2011-36
The purpose of this study is to investigate the feasibility of the semi-automatic software for the estimation of brain h... [more] MI2011-36
pp.19-23
NLP 2011-06-30
13:25
Hokkaido Shari-cho Kohminkan: Yme-hall Shiretoko Does Parrond Paradox arise in Scale Free Networks I ? -- Consideration of a Naive Case --
Norihito Toyota (HIU) NLP2011-26
In the Parrong game\cite{Parr1}, it has been shown that a paradoxical behavior arises by \cite{Harm1},\cite{Harm2}.
P... [more]
NLP2011-26
pp.7-12
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