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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS | 2021-07-02 13:05 |
Online | Online | Error Reduction Method employing Dither Method with Interfering Signals for Distance Estimation Technique Seiya Horiuchi, Hiroyuki Hatano, Kosuke Sanada, Kazuo Mori (Mie Univ.), Takaya Yamazato (Nagoya Univ.), Shintaro Arai (Okayama Univ. of Science), Masato Saito (Univ. of the Ryukyus), Yukihiro Tadokoro, Hiroya Tanaka (Toyota CRDL)  ITS2021-1 |
In positioning systems, the Received Signal Strength Indicator (RSSI) is actively used to measure between user’s device ... [more] | ITS2021-1 pp.1-6 |
| EA, ASJ-H, ASJ-AA | 2018-07-24 13:00 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
A Study on the Calculation of Similarity of Music Data Based on Its Acoustic Features Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EA2018-4 |
This paper explains a music similarity calculation method to provide a summary of music. There is a method for obtaining... [more] | EA2018-4 pp.19-23 |
| WBS, IT, ISEC | 2018-03-08 09:00 |
Tokyo | Katsusika Campas, Tokyo University of Science | Evaluation of Bayes Predictive Distributions under Unknown Parametric Models on Misspecified Models Hirokazu Kono, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2017-103 ISEC2017-91 WBS2017-84 |
In this paper, we discuss a problem to estimate the conditional distribution of $Y_{N+1}$ given $x_{N+1}$ and ${(x_t,y_t... [more] | IT2017-103 ISEC2017-91 WBS2017-84 pp.1-6 |
| SP | 2015-08-21 16:15 |
Iwate | Iwate Prefectural Univ. | Training Data Selection for Acoustic Modeling Based on Submodular Optimization of Joint KL Divergence Taichi Asami, Ryo Masumura, Hirokazu Masataki, Manabu Okamoto, Sumitaka Sakauchi (NTT) SP2015-58 |
This paper provides a novel training data selection method to construct acoustic models for automatic speech recogniti... [more] |
SP2015-58 pp.45-50 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-25 11:10 |
Okinawa | Okinawa Institute of Science and Technology | Statistical and information-theoretical analysis of the sumo wrestling tournament Shoukei Gushiken, Ryota Miyata (Univ Ryukyus) IBISML2015-25 |
Duggan and Levitt (2002) proposed a statistical analysis method for the sumo wrestling tournament. However, they focuse... [more] |
IBISML2015-25 pp.201-205 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation Hiroaki Sasaki (Univ. of Tokyo), Yung-Kyun Noh (KAIST), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-52 |
Estimation of density derivatives is a versatile tool in statistical data analysis. A naive approach is to first estimat... [more] | IBISML2014-52 pp.133-140 |
| PRMU, IE, MI | 2010-05-14 14:15 |
Aichi | Chubu Univ. | A novel method for minimum entropy clustering using competitive learning Toshio Uchiyama, Takeharu Eda, Katsuji Bessho, Tadasu Uchiyama, Katsuyoshi Tanabe (NTT) IE2010-39 PRMU2010-27 MI2010-27 |
We propose a novel method (algorithm), which uses competitive learning, for clustering based on minimizing average e... [more] |
IE2010-39 PRMU2010-27 MI2010-27 pp.139-144 |
| NC | 2010-01-19 13:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | An Estimator Based on Empirical Likelihood and Its Properties Manabu Takeda (Kyoto Univ.), Kazushi Ikeda, Takashi Takenouchi (NAIST), Yuki Yoshida (Osaka Univ.) NC2009-84 |
Empirical Likelihood is a nonparametric statistical inference method. It is applied mainly to statistical test and const... [more] | NC2009-84 pp.77-81 |
| NS, IN (Joint) |
2008-03-06 11:50 |
Okinawa | Bankoku Shinryokan | A new Burst index
-- based on relative entropy of packet intervals -- Tadashi Enomoto (NEC Communication Systems) NS2007-140 |
Burstiness index is importan in evaluating QoS. Studies on burstiness of ATM traffic was many, but studies on bustiness ... [more] | NS2007-140 pp.59-64 |
| AI | 2006-05-18 10:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A collaborative filtering method based on marginal rating distributions Shuhei Kuwata, Naonori Ueda (NTT) |
We propose a collaborative filtering method based on a probabilistic approach . In the proposed method, first empirical ... [more] | AI2006-3 pp.13-18 |
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