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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
15:15
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding
Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] IMQ2022-56 IE2022-133 MVE2022-86
pp.178-181
NS, IN
(Joint)
2020-03-05
10:40
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
A Media Access Control using Capture Effect based on Mathematical Model for Improving Throughput Fairness over Densely placed WLANs
Yoshiki Miura, Hiroyasu Obata, Chisa Takano, Kenji Ishida (Hiroshima City Univ.) IN2019-88
In an environment where multiple wireless LAN (WLAN) systems are densely placed, SACA (Semi-Active CW Adaptation) method... [more] IN2019-88
pp.73-78
R 2019-06-14
15:30
Tokyo Kikai-Shinko-Kaikan Bldg. Identification comparison of software fault-prone modules using nonlinear logistic regression models
Kazunari Yamanaka, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-12
In this article, we compare several non-linear logistic regression models used in a fault-prone
identification problem... [more]
R2019-12
pp.19-24
NLC, TL 2016-06-04
16:50
Hokkaido Otaru University of Commerce Identification of Tweets that Mention Books -- Effects of Features, Data Size, and ML Algorithms --
Shuntaro Yada, Kyo Kageura (UTokyo) TL2016-7 NLC2016-7
We report performances of a classifier that identify Tweets that Mention Books (TMB) from tweets that contain the same s... [more] TL2016-7 NLC2016-7
pp.29-34
MBE, NC
(Joint)
2016-03-23
10:25
Tokyo Tamagawa University Modulation transfer function measurement of CT images reconstructed by a hard kernel
Jo Mitsuzuka, Kazuhiro Sawa, Yoshinori Takehana, Akihiro Tanaka, Kentaro Kinoshita, Satoru Kishida (Tottori Univ.) NC2015-80
To develop MTF(Modulation Transfer Function) measurement of CT images reconstructed by a hard kernel filter, we proposed... [more] NC2015-80
pp.59-63
NC, MBE 2015-03-16
15:35
Tokyo Tamagawa University Task specific movement representations of primary motor cortex inherent in resting-state brain activity measured by functional magnetic resonance imaging
Toshiki Kusano (NUT), Hiroki Kurashige (Keio Univ.), Isao Nambu (NUT), Yoshiya Moriguchi (Gunma Univ.), Takashi Hanakawa (NCNP/IBIC), Yasuhiro Wada (NUT), Rieko Osu (ATR) MBE2014-150 NC2014-101
It has been suggested that resting-state brain activity reflects the task-induced brain activity patterns. In this study... [more] MBE2014-150 NC2014-101
pp.189-194
IA 2014-11-06
15:50
Overseas Thailand Isan Dhamma Character Recognition on Palm Leaves based on Logistic Model Tree
Preecha Khakham, Narumol Chumuang, Mahasak Ketcham (King Mongkut Univ. of Tech.) IA2014-55
This paper proposes a new approach for Isan Dhamma handwriting on palm leaves character recognition system based on Logi... [more] IA2014-55
pp.109-114
NC, MBE
(Joint)
2014-03-17
15:20
Tokyo Tamagawa University Voxel-level representations of motor actions inherent in resting-state brain activity
Toshiki Kusano (Nagaoka Univ. of Tech.), Hiroki Kurashige (ATR), Isao Nambu (Nagaoka Univ. of Tech.), Yoshiya Moriguchi, Takashi Hanakawa (NCNP), Yasuhiro Wada (Nagaoka Univ. of Tech.), Rieko Osu (ATR) NC2013-127
Abstract It has been suggested that resting-state functional brain activity involves the repertoire of task-induced pat... [more] NC2013-127
pp.221-226
IBISML 2014-03-07
10:05
Nara Nara Women's University Online Prediction with Bradley-Terry Models and Logistic Models
Issei Matsumoto, Kohei Hatano, Eiji Takimoto (Kyushu Univ) IBISML2013-74
We consider an online density estimation problem under the Bradley-Terry model which determines the probability of the o... [more] IBISML2013-74
pp.55-62
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Exaluation of Revised IP-OLDF with S-SVM, LDF and logistic regression by K-fold cross-validation
Shuichi Shinmura (Seikei Univ.) IBISML2013-44
In this paper, Revised IP-OLDF based on MNM criterion is proposed using a mixed integer programming. The new discriminan... [more] IBISML2013-44
pp.61-68
R 2013-10-18
13:30
Fukuoka   PoP: Prediction on Predictions
Hideo Hirose, Takenori Sakumura, Yuki Koyanagi (Kyushu Inst. of Tech.) R2013-64
In observing the widely spread of patients caused by infectious diseases or the increase of the number of failures of eq... [more] R2013-64
pp.1-6
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. An Ordinal Regression Model Based on Logistic Regression Models and Its Fast Sparse Bayesian Learning
Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) IBISML2012-87
The common solution to the ordinal regression problem uses the model in which noise-contained inputs are deterministical... [more] IBISML2012-87
pp.381-385
R 2012-10-19
15:50
Fukuoka   A Consideration on the Estimates of Failure Parameters using the Observed Data in Early Time
Tsubasa Kawano, Hideo Hirose (KIT) R2012-59
We sometimes use the statistical model for truncated data when we want to predict the final stage for a pandemic or fail... [more] R2012-59
pp.29-32
EA 2011-10-28
13:30
Nagano Faculty of Engineering, Shinshu Univ. Reconstruction of a Logistic Model of Acceptable Noise Levels for Road Traffic Noise
Ryuji Nakagomi, Sho Arai, Kenji Furihata (Shinshu Univ) EA2011-69
Annoyance to noise is probably a good measure of the potential for complaint and community action. Each individual’s deg... [more] EA2011-69
pp.7-12
PRMU, IBISML, IPSJ-CVIM [detail] 2011-09-06
14:50
Hokkaido   A Method for Multiple Instance Learning Using Sparse Kernel Machines
Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) PRMU2011-77 IBISML2011-36
Multiple Instance Learning problem (MIL) is roughly one of the classification problems.
In generally classification pr... [more]
PRMU2011-77 IBISML2011-36
pp.159-163
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-06
13:40
Fukuoka Fukuoka Univ. [Fellow Memorial Lecture] -
Takio Kurita (Hiroshima Univ.) PRMU2010-84 IBISML2010-56
Linear Discriminant Analysis (LDA) is one of the well known methods to extract good features for classification. Otsu de... [more] PRMU2010-84 IBISML2010-56
pp.209-214
EA 2009-10-22
14:15
Niigata   Sound Reproducing System for Easiness of Speech Perception Using Estimate Method of Sound Pressure Level Distribution by Logistic Model
Shiho Atsumi, Kenji Furihata (Shinshu Univ.) EA2009-65
High volume level output at the loudspeaker can cause the loop to get into an oscillatory mode usually referred to as “h... [more] EA2009-65
pp.55-60
EA 2008-10-23
10:15
Toyama   Construction of a Logistic Prediction Model for Individual Acceptable Noise Levels
Ryo Tohyama, Kenji Furihata (Shinshu Univ.) EA2008-65
Noise annoyance is a good measure of comfort in daily activities. Comfortable condition cannot be created without to kno... [more] EA2008-65
pp.1-6
EA 2008-10-23
10:45
Toyama   Verification of Estimating Individual Acceptable Levels Using a Logistic Prediction Model in Laboratory Experiments
Ryo Tohyama (Shinshu Univ.), Kenji Furihata (Shinshu Univ) EA2008-66
Noise annoyance is a good measure of comfort in daily activities. A logistic prediction model was constructed in previou... [more] EA2008-66
pp.7-12
EA 2008-10-24
09:30
Toyama   Estimation of Physical Factors for the Popping Frequency of the Trumpet Sound Influencing Auditory Perception
Kaoru Yamanaka, Kenji Furihata (Shinshu Univ.) EA2008-75
The process by which tones are produced in brass musical instruments is generally regarded as having three principal asp... [more] EA2008-75
pp.61-66
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