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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 111 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
13:00
Kagoshima Kagoshima University A Study on Network Tomography for ICN
Ryoichi Kawahara (Toyo Univ.), Rie Tagyo, Daisuke Ikegami (NTT) CQ2018-111
This paper reports a study on application of network tomography to Information-Centric Networking (ICN). When we receive... [more] CQ2018-111
pp.99-104
NLP, MSS
(Joint)
2019-03-14
16:10
Fukui Bunkyo Camp., Univ. of Fukui A study on the probabilistic information processing using a machine learning result
Shun Kataoka (OUC) MSS2018-89
We consider a framework of the probabilistic information processing utilizing the machine learning result. In probabilis... [more] MSS2018-89
pp.45-50
NLP, MSS
(Joint)
2019-03-14
13:20
Fukui Bunkyo Camp., Univ. of Fukui An Analytical Method of Computing Electron Trajectories on Waveguides by the Superposition of Single-Mode Wave Propagation
Shota Hayakawa, Hisato Fujisaka, Takeshi Kamio (Hiroshima City Univ.) NLP2018-125
In this paper, we obtain analytically behaviors of electron wave packets and probabilistic particle model of electrons o... [more] NLP2018-125
pp.7-12
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
IA, IN
(Joint)
2018-12-14
09:45
Hiroshima Hiroshima Univ. Characteristics of Twitter Data Collected by Keyword Search and Information Diffusion Process on Twitter
Shigeo Shioda, Masato Minamikawa, Keisuke Nakajima (Chiba Univ.) IN2018-64
(To be available after the conference date) [more] IN2018-64
pp.31-36
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Realizing Large Scale Model by Integration of Stochastic Models -- Implementation and Evaluation of Integrated Model of VAE, GMM, HMM and MLDA --
Ryo Kuniyasu, Tomoaki Nakamura, Tatsuya Aoki (UEC), Akira Taniguchi, Ryo Ozaki, Tomoro Ishimine (Ritsumeikan Univ.), Hiroki Yokoyama (Tamagawa Univ.), Tadashi Ogura (SOKENDAI), Takayuki Nagai (UEC), Tadahiro Taniguchi (Ritsumeikan Univ.) IBISML2018-77
In order to realize human-like intelligence artificially, large-scale cognitive models are required for robots to unders... [more] IBISML2018-77
pp.249-254
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
COMP, IPSJ-AL 2018-05-25
14:30
Aichi Nagoya Institute of Technology Fast Aggregation in Probabilistic Population Protocols
Ryota Eguchi, Taisuke Izumi (Nagoya Inst. of Tech.) COMP2018-6
In this paper, we propose a new aggregation algorithm in probabilistic population protocol model with a base station. Sp... [more] COMP2018-6
pp.79-84
BioX, ITE-ME, ITE-IST 2018-05-24
15:45
Ishikawa Kanazawa Univ. Nishimachi Satelite Plaza A probabilistic verification method using multi-feature for environment-robust biometrics
Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada (FUJITSU LAB.) BioX2018-3
This paper reports a probabilistic verification method using multi-feature for environment-robust biometrics. In biometri... [more] BioX2018-3
pp.21-26
NLP 2018-04-26
10:20
Kumamoto Kumaoto Univ. A Probabilistic Lattice Model of a Three-Port Quantum Wave Filter
Shota Hayakawa, Hisato Fujisaka, Takeshi Kamio (Hiroshima City Univ.) NLP2018-1
Quantum potential systems, especially a system functioning as a three-port quantum wave filter, are modeled after lattic... [more] NLP2018-1
pp.1-4
NLP 2018-04-26
16:25
Kumamoto Kumaoto Univ. Construction Methods of Probabilistic Boolean Networks Based on Imperfect Information
Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) NLP2018-11
A probabilistic Boolean network (PBN) is one of the mathematical models of gene regulatory networks. In a Boolean networ... [more] NLP2018-11
pp.49-52
RCS 2018-04-23
11:45
Yamaguchi Hotel New Tanaka, Yuda Onsen A Study on Iterative Channel Estimation with Non-Orthogonal Pilot Sequence in Large MIMO Detection
Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) RCS2018-6
Based on the use of iterative channel estimation with non-orthogonal pilot sequence, we proposes a modified covariance m... [more] RCS2018-6
pp.31-36
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
RCS, SR, SRW
(Joint)
2018-03-02
15:45
Kanagawa YRP Rate Maximization via Probabilistic Constellation Shaping in AWGN Channels with Non-linear Distortion
Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu (Ritsumeikan Uni.) RCS2017-401
It is well known that distortion in wireless transmit signals occurs due to the non-linearity of power amplifiers. The t... [more] RCS2017-401
pp.459-464
DE, CEA, IPSJ-DBS 2017-12-23
15:00
Tokyo National Institute of Informatics Learning Templates for Generalizing Procedural Texts
Minari Yoshinari (Tohoku Univ.), Sho Yokoi, Kentaro Inui (Tohoku Univ./RIKEN) DE2017-36
In this research, we attempt to learn procedural templates from sets of procedures which achieve a common purpose. Our h... [more] DE2017-36
pp.103-107
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
QIT
(2nd)
2017-11-16
13:50
Saitama Saitama University [Poster Presentation] Lower bound of information gain for General Probabilistic Theories
Koki Fukazawa, Gen Kimura (SIT)
To understand the general property of information encoding and decoding on physical system is one of the most important ... [more]
RCS, SAT
(Joint)
2017-08-17
13:05
Niigata Niigata Univ. [Invited Lecture] A Study on Belief Propagation of Multi-Dimensional Signal Detection for Higher-Order Modulation
Shinsuke Ibi, Takumi Takahashi, Seiichi Sampei (Osaka Univ.) SAT2017-23 RCS2017-153
This paper proposes a novel design of the hybrid structure of probabilistic data association (PDA) and Gaussian belief p... [more] SAT2017-23 RCS2017-153
pp.19-24(SAT), pp.61-66(RCS)
MBE, NC
(Joint)
2017-03-13
13:35
Tokyo Kikai-Shinko-Kaikan Bldg. A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis
Aiga Suzuki, Hayaru Shouno (UEC) NC2016-83
Modeling of natural textures in an important task for microscopic structure of natural images. Portilla and Simon-
cell... [more]
NC2016-83
pp.115-120
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. A study of message propagation algorithms for approximate MAP inference of large scale probabilistic models
Takashi Sano, Yuuji Ichisugi (AIST AIRC) IBISML2016-57
(To be available after the conference date) [more] IBISML2016-57
pp.81-86
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