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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 61 - 80 of 324 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ASN 2018-01-31
13:30
Oita Yufugo-kan (Oita) Saturated Throughput Analysis of IEEE 802.11p EDCA expressing Transmission Probability Strictly
Shintaro Ikuma, Hiroo Sekiya (Chiba Univ.) ASN2017-111
In IEEE 802.11p Enhanced Distributed Channel Access (EDCA), which is standardization for vehicle-to-vehicle and road-to-... [more] ASN2017-111
pp.157-162
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
09:30
Osaka   Trajectory semantic segmentation based on behavior models
Daisuke Ogawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-112 MVE2017-33
In many cases, such as trajectories clustering and classification, we often divide a trajectory into segments as preproc... [more] PRMU2017-112 MVE2017-33
pp.1-7
ICM, CQ, NS, NV
(Joint)
2017-11-17
12:20
Kagawa   Information Diffusion Model for Analyzing Temporal Variation of Contents Posted to SNSs
Keisuke Nakajima, Masato Minamikawa, Shigeo Shioda (Chiba Univ.) CQ2017-84
When an impressive event occurs in the real world, several contents related to the event are posted to the SNSs; the pop... [more] CQ2017-84
pp.79-84
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Calculation method for grid-structured markov random field using corner transfer matrix renormalization group
Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2017-37
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] IBISML2017-37
pp.15-22
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning
Naoki Hayashi, Sumio Watanabe (TokyoTech) IBISML2017-38
In stochastic matrix factorization (SMF), we deal with problems that we predict an observed stochastic matrix as a produ... [more] IBISML2017-38
pp.23-30
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Regression Method for Noisy Inputs based on Naradaya-Watson Estimator constructed from Noiseless Training Data
Ryo Hanafusa, Takeshi Okadome (Kwansei Gakuin Univ.) IBISML2017-46
The regression method proposed in this paper produces a regression function for noisy inputs that minimizes the expected... [more] IBISML2017-46
pp.85-92
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization
Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo) IBISML2017-81
In order to reduce the computational cost of Bayesian inference, we propose a method to estimate the Bayesian posterior ... [more] IBISML2017-81
pp.333-338
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields
Yuya Takashina, Masato Inoue (Waseda Univ.) IBISML2017-88
Learning the structure of graphical models is important in many fields, e.g., multivariate analysis and anomaly detectio... [more] IBISML2017-88
pp.383-388
NLC 2017-09-07
10:35
Tokyo Seikei University A Study on Automatic Text Generation -- Issues and measures of connection among sentences in sentence generation --
Hiromitsu Ota (Open Univ.) NLC2017-14
(Advance abstract in Japanese is available) [more] NLC2017-14
pp.7-12
R 2017-07-28
13:10
Hokkaido Wakkanai Sun Hotel Reliability Analysis for CANs based-on Discrete Time Markov Chain
Ryohei Satoh, Satoshi Fukumoto, Mamoru Ohara (Tokyo Metropolitan Univ.) R2017-15
In recent years, the controller area networks (CANs), the industry standard of in-vehicle network protocol, have continu... [more] R2017-15
pp.7-12
R 2017-07-28
16:50
Hokkaido Wakkanai Sun Hotel Software Reliability Assessment Based on a Discretized Model by Bayes' Theory
Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2017-23
We discuss an interval estimation approach for model parameters and software reliability assessment measures of a discre... [more] R2017-23
pp.55-60
NS, ASN, RCC, RCS, SR
(Joint)
2017-07-21
14:35
Hokkaido Hokkaido Univ. Throughput Analysis for String-Topology Full-Duplex Multi-hop Network
Chikara Fujimura, Kosuke Sanada, Kazuo Mori (mie Univ) RCC2017-49 NS2017-66 RCS2017-141 SR2017-64 ASN2017-57
In wireless full-duplex communication, data-frame transmission and reception are performed simultaneously. Wireless mult... [more] RCC2017-49 NS2017-66 RCS2017-141 SR2017-64 ASN2017-57
pp.197-202(RCC), pp.187-192(NS), pp.251-256(RCS), pp.209-214(SR), pp.223-228(ASN)
NS, ASN, RCC, RCS, SR
(Joint)
2017-07-21
15:00
Hokkaido Hokkaido Univ. Throughput Analysis of CSMA/CA-based MAC with Binary Backoff in Full Duplex WLAN
Kosuke Sanada, Kazuo Mori (Mie Univ.) RCC2017-50 NS2017-67 RCS2017-142 SR2017-65 ASN2017-58
This paper proposes analytical expressions of carrier sense multiple access with collision avoidance (CSMA/CA) based med... [more] RCC2017-50 NS2017-67 RCS2017-142 SR2017-65 ASN2017-58
pp.203-208(RCC), pp.193-198(NS), pp.257-262(RCS), pp.215-220(SR), pp.229-234(ASN)
IT 2017-07-14
15:10
Chiba Chiba University On Information Geometry of Tree Models
Jun'ichi Takeuchi (Kyushu Univ.), Hiroshi Nagaoka (UEC) IT2017-35
We discuss information geometrical properties of the familes of Markov sources defined based on context trees. [more] IT2017-35
pp.109-113
IT 2017-07-14
15:35
Chiba Chiba University Asymptotic Exponential Family of Markov Sources is Equivalent to Exponential Family of Markov Kernels
Jun'ichi Takeuchi (Kyushu Univ.), Hiroshi Nagaoka (UEC) IT2017-36
For familes of Markov models, we prove that the notion of asymptotic exponential familly is equivalent to the notion of ... [more] IT2017-36
pp.115-119
R 2017-05-26
12:30
Okayama Purity Makibi Markovian Modeling for Software Reliability Assessment with Change-Point
Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2017-1
We discuss Markovian software reliability modeling with the effect of change-point and imperfect debugging environment f... [more] R2017-1
pp.1-6
R 2017-05-26
16:20
Okayama Purity Makibi [Invited Talk] A Summary of Elementary Software Reliability Modeling
Shigeru Yamada (Tottori Univ.) R2017-9
Software reliability is one of the most important characteristics of software quality. Its measurement and management te... [more] R2017-9
pp.49-56
HCS, HIP, HI-SIGCOASTER [detail] 2017-05-17
15:40
Okinawa Okinawa Industry Support Center Estimation of hidden states for success and failure of consultation -- Time series analysis of interaction between two people --
Hidehito Honda, Ryosuke Hisamatsu (Univ. of Tokyo), Yoshimasa Ohmoto (Kyoto Univ.), Takatomi Kubo, Kazushi Ikeda (NAIST), Kazuhiro Ueda (Univ. of Tokyo) HCS2017-45 HIP2017-45
We examined how two people interacted with each other during travel consultation based on their verbal and nonverbal beh... [more] HCS2017-45 HIP2017-45
pp.293-296
PRMU, BioX 2017-03-20
14:10
Aichi   [Invited Talk] Recent Technology Trends in Location Privacy
Takao Murakami (AIST) BioX2016-42 PRMU2016-205
With the widespread use of smart phones and in-car navigation systems, people are increasingly using LBS (Location-based... [more] BioX2016-42 PRMU2016-205
pp.51-56
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2017-03-10
09:50
Okinawa Kumejima Island A Note on Analytical Models for CANs
Ryohei Satoh, Kazuya Sakai, Satoshi Fukumoto (Tokyo Metropolitan Univ.), Masayuki Arai (Nihon Univ.), Mamoru Ohara (Tokyo Metropolitan Univ.) CPSY2016-145 DC2016-91
In recent years, the controller area networks (CANs), the industry standard of in-vehicle network protocol, have continu... [more] CPSY2016-145 DC2016-91
pp.297-301
 Results 61 - 80 of 324 [Previous]  /  [Next]  
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