Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EA |
2012-12-14 10:40 |
Tokyo |
National Institute of Informatics |
Under-Determined Audio Source Separation Based on MAP Spectral Estimation Using Log-Spectral Prior Yasuaki Iwata (Nagoya Univ.), Tomohiro Nakatani, Masakiyo Fujimoto, Takuya Yoshioka (NTT CS Labs), Hirofumi Saito (Nagoya Univ.) EA2012-114 |
Assuming speech to be non-stationary Gaussian process, maximum likelihood spectral estimation has been studied as an eff... [more] |
EA2012-114 pp.29-34 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Clustering Method based on Global Optimization of Quadratic Forms Shunsuke Hirose (SAS Institute Japan) IBISML2012-41 |
This paper addresses the issue of constructing a clustering formulation by which we can derive a global optimum includin... [more] |
IBISML2012-41 pp.53-58 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Recovery algorithm in compressed sensing based on maximum a posteriori estimation Koujin Takeda, Yoshiyuki Kabashima (Tokyo Tech.) IBISML2012-76 |
We propose an idea for how to derive sparse data recovery algorithm with smaller computational cost in compressed sensin... [more] |
IBISML2012-76 pp.297-302 |
NC |
2012-07-31 13:40 |
Shiga |
Ritsumeikan Univ. College of Information Science and Engineering |
Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization
-- Reverse Replay and Temporally Structured Replay Cases -- Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-30 |
It has been reported that reverse replay and temporally-structured replay of ensemble spiking patterns occur during both... [more] |
NC2012-30 pp.89-94 |
CQ |
2012-07-13 09:20 |
Ehime |
Ehime Univ. |
How to Reduce the Number of Access Points in WMNs without Increasing the Communication Latency Takuya Matsumoto, Sayaka Kamei, Satoshi Fujita (Hiroshima Univ.) CQ2012-29 |
Wireless Mesh Networks (WMNs) have attracted considerable attention in recent years.In WMNs, many Access Points (APs) ar... [more] |
CQ2012-29 pp.71-76 |
NC, IPSJ-BIO |
2012-06-28 14:15 |
Okinawa |
OIST, Okinawa |
Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-10 |
We employ a top-down approach to finding optimal neural implementations for executing a computation of the hippocampal C... [more] |
NC2012-10 pp.53-58 |
MBE, NC (Joint) |
2012-03-16 14:10 |
Tokyo |
Tamagawa University |
A Perceptron Learning Rule for Locally Improving the ROC Curve Akiyuki Kuwabara (Univ. of Tsukuba) NC2011-189 |
A single-layer perceptron can not give perfect answers to massive linearly inseparable training examples. In such situat... [more] |
NC2011-189 pp.399-404 |
CAS |
2012-01-19 09:50 |
Fukuoka |
Kyushu Univ. |
On graphs with maximum clustering coefficient in 2-switch neighborhood Tatsuya Fukami, Norikazu Takahashi (Kyushu Univ.) CAS2011-87 |
Given a simple undirected connected graph, let us consider the problem to find a graph such that it has the same degree ... [more] |
CAS2011-87 pp.13-18 |
DE |
2011-12-16 16:25 |
Kyoto |
Kyoto Sangyo University |
A study of information diffusion model considering update of a social network Masaki Oono (UEC Tokyo) DE2011-48 |
We study the combinational optimizaion problem of finding the most influential nodes on a social network. Kempe’s method... [more] |
DE2011-48 pp.49-52 |
NS |
2011-10-13 12:40 |
Aichi |
Nagoya Institute of Technology |
[Poster Presentation]
An Improvement of Active Access-Point Selection Algorithm for Throughput Maximization in Wireless Mesh Networks. Junki Shimizu, Nobuo Funabiki, Toru Nakanishi, Kan Watanabe (Okayama Univ.) NS2011-86 |
The wireless Internet-access mesh network (WIMNET) has been studied to realize the inexpensive, scalable Internet-access... [more] |
NS2011-86 pp.25-30 |
DE |
2011-08-03 10:00 |
Kyoto |
Ritusmei University, Suzaki Campus |
Maximum Margin Clustering of Research Papers Based on Meta Information to Generate Research History Nguyen Manh Cuong, Taiichi Hashimoto, Haruo Yokota (Tokyo Tech Univ.) DE2011-34 |
Our research aim is an automatic generation of a researcher's research history from research articles published on the i... [more] |
DE2011-34 pp.41-46 |
IBISML |
2011-03-28 16:50 |
Osaka |
Nakanoshima Center, Osaka Univ. |
Enumerating Feature-Sets with Submodularity Yoshinobu Kawahara (Osaka Univ.), Koji Tsuda (AIST), Takashi Washio (Osaka Univ.), Akiko Takeda (Keio Univ.), Shin-ichi Minato (Hokkaido Univ.) IBISML2010-113 |
Selecting relevant features is a fundamental task in machine learning. Although many approaches have been investigated s... [more] |
IBISML2010-113 pp.63-68 |
NS, ICM, CQ (Joint) |
2010-11-18 12:45 |
Kyoto |
Katsura Campus, Kyoto Univ. |
Fixed Point Optimization Methods for Network Bandwidth Allocation Problems with Compoundable Constraints Hideaki Iiduka, Masato Uchida (KIT) CQ2010-48 |
In this paper, we deal with network bandwidth allocation problems in which the capacity constraints and
the compoundab... [more] |
CQ2010-48 pp.1-4 |
IBISML |
2010-06-15 16:05 |
Tokyo |
Takeda Hall, Univ. Tokyo |
An EM algorithm on binary decision diagrams with order encoding for propositional logic-based probabilistic models Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato (Tokyo Inst. of Tech.), Shin-ichi Minato (Hokkaido Univ) IBISML2010-23 |
We propose an EM algorithm on Binary Decision Diagrams (BDDs) with order encoding for propositional logic-based probabil... [more] |
IBISML2010-23 pp.155-165 |
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, RCS (Joint) |
2009-07-17 13:20 |
Hokkaido |
Hokkaido University (Hokkaido) |
Suboptimal Linear Precoding with Minimum Distance Approach for real-valued signal in Multiuser MIMO Downlink
-- using improved initial transmit weight -- Tomoyuki Yamada, Kentaro Nishimori, Yasushi Takatori, Masato Mizoguchi (NTT) RCS2009-67 |
This paper proposes a new linear precoding method for real-valued signals in multiuser MIMO downlink systems that improv... [more] |
RCS2009-67 pp.83-88 |
EA, SIP, SP |
2009-05-29 10:00 |
Hyogo |
|
A study on acoustic canceler based on echo estimation with maximum likelihood for multi-loudspeakers in a car environment Kentaro Koga (Fujitsu Ten Limited/Kobe Univ.), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) EA2009-9 SIP2009-9 SP2009-14 |
In this paper, as a key technology for improvement of speech recognition system in car environments, we propose a single... [more] |
EA2009-9 SIP2009-9 SP2009-14 pp.45-48 |
RCS, AN, MoNA, SR (Joint) |
2009-03-04 13:40 |
Kanagawa |
YRP |
Linear Precoding based on Minimum Siganl Distance Criterion for Multiuser MIMO Downlink
-- Sub-opimization with Phase Rotation of Interference Signal -- Tomoyuki Yamada, Kentaro Nishimori, Yasushi Takatori, Masato Mizoguchi (NTT) RCS2008-222 |
The proposed method improves error rate performance sub-optimizing with respect to the minimum distance criterion by mod... [more] |
RCS2008-222 pp.59-64 |
NS, CS, IN (Joint) |
2007-09-21 14:20 |
Miyagi |
Tohoku University |
Access Control in Cooperative Environments utilizing Social Systems
-- ACCESS -- George Serban Radescu, Satoshi Ogawa, Wenpeng Wei, Gen Kitagata (Tohoku Univ.), Atsushi Takeda (Tohoku Bunka Gakuen Univ.), Norio Shiratori (Tohoku Univ.) IN2007-68 |
This paper introduces the notion of utility maximization based access control and creation of trusted communities throug... [more] |
IN2007-68 pp.143-148 |
NC |
2006-03-16 10:20 |
Tokyo |
Tamagawa University |
On the Realization of a Large Margin Non-linear Classifier Using Feed-forward Neural Networks Shin'ichi Tamura, Makoto Sakai (DENSO) |
It is well known that a feedforward neural network with infinitely many hidden yunits has the capability of realizing an... [more] |
NC2005-139 pp.85-89 |