Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-03-01 13:45 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Speech and Language Research in the Google Tokyo Office Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80 |
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the ac... [more] |
EA2022-116 SIP2022-160 SP2022-80 pp.239-240 |
MBE, NC (Joint) |
2022-03-03 14:40 |
Online |
Online |
Designing a Brain Reference Architecture for Double Articulation Analyzer of Spoken Language Maoko Muro, Akira Taniguchi (Ritsumeikan), Hiroshi Yamakawa (WBAI/UTokyo/RIKEN), Tadahiro Taniguchi (Ritsumeikan) NC2021-64 |
In human spoken language, words are connected to form a sentence, and words are composed of phonemes or syllables. This ... [more] |
NC2021-64 pp.94-99 |
QIT (2nd) |
2021-12-01 15:40 |
Online |
Online |
Assuming the validity of the second law of thermodynamics in general probabilistic theories
-- consequences and constraints on models -- Shintaro Minagawa, Hayato Arai, Francesco Buscemi (Nagoya Univ.) |
We formulate a modified version of von Neumann's thermodynamic thought experiment with semipermeable membranes in the la... [more] |
|
IBISML |
2020-10-21 09:45 |
Online |
Online |
IBISML2020-18 |
A symbol emergence system is a multi-agent system where each autonomous agent forms internal representations through int... [more] |
IBISML2020-18 pp.34-35 |
IA, SITE, IPSJ-IOT [detail] |
2019-03-07 16:15 |
Tokushima |
Grand XIV Naruto |
On the possibility of learning the order relation of familial resemblance clusters based on Information theoretic scale
-- What is mean by "Defining the rewards of Bayesian inverse reinforcement learning as family resenblence"? -- Tetsuya Morizumi (KU) SITE2018-76 IA2018-68 |
In this paper, we present an approach to incorporate the viewpoint of <mind> into an artificial intelligent system. To t... [more] |
SITE2018-76 IA2018-68 pp.133-140 |
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] |
2018-07-26 12:10 |
Hokkaido |
Sapporo Convention Center |
About Access Control with the Deconstruction Device in Probability Measures on Metric Spaces Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35 |
The word of Socrates: "Not life, but good life, is to be chiefly valued" is the dichotomy between the two, if we see tha... [more] |
ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35 pp.281-287 |
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 |
SP |
2016-08-24 14:00 |
Kyoto |
ACCMS, Kyoto Univ. |
[Invited Talk]
Unsupervised Music Understanding based on Hierarchical Bayesian Acoustic and Language Models Kazuyoshi Yoshii (Kyoto Univ.) SP2016-29 |
This paper presents a statistical approach to unsupervised music understanding. Our goal is to estimate musical notes fr... [more] |
SP2016-29 pp.13-18 |
DE |
2012-08-02 10:30 |
Aichi |
Nagoya University |
Query Processing over Probabilistic Data Streams Sho Kato (Nagoya Univ), Yoshiharu Ishikawa (Nagoya Univ/NII) DE2012-20 |
Query prosessing techniques for sensor data have become important, because the sensor data have increased explosively by... [more] |
DE2012-20 pp.23-28 |
IT |
2010-07-22 10:40 |
Tokyo |
Kogakuin University |
Document Classification by Sub-topic Matching based on Polya Mixture Distribution Natsumi Ushiama, Gendo Kumoi, Takashi Ishida, Masayuki Goto (Waseda Univ.) IT2010-13 |
In this research, we propose the methods of document classification based on Polya mixture distribution as a probabilist... [more] |
IT2010-13 pp.13-18 |
SP, NLC |
2008-12-09 15:10 |
Tokyo |
Waseda Univ. |
Evaluation of annealing schadule for PLSA language model adaptaion Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.), Akinori Ito, Shozo Makino (Tohoku Univ.) NLC2008-32 SP2008-87 |
Probabilistic Latent Semantic Analysis (PLSA)
is a powerful statistical language model.
However the PLSA has the loca... [more] |
NLC2008-32 SP2008-87 pp.49-53 |