Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC |
2022-12-03 10:20 |
Osaka |
Osaka Electro-Communication University |
ICA with SCAD penalty via DC algorithm Yusuke Endo, Koujin Takeda (Ibaraki Univ.) MBE2022-31 NC2022-53 |
In this work, we propose an improved method of ICA(Independent Component Analysis), which is used for identifying latent... [more] |
MBE2022-31 NC2022-53 pp.38-42 |
NC, MBE (Joint) |
2020-03-05 16:10 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Improvement of neuronal ensemble inference by Monte Carlo method and applying to real data Shun Kimura, Koujin Takeda (Ibaraki Univ.), Keisuke Ota (Riken) NC2019-101 |
In this work, we propose an improved inference algorithm for neuronal ensembles, which can classify neurons into ensembl... [more] |
NC2019-101 pp.149-154 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Analysis of matrix factorization dynamics from variational Bayes solution Tomoki Tamai, Koujin Takeda (Ibaraki Univ.) IBISML2018-74 |
(Advance abstract in Japanese is available) [more] |
IBISML2018-74 pp.227-231 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Improvement of learning method with convolutional restricted Boltzmann machine based on PCD Ryosuke Ishi, Reiki Suda, Koujin Takeda (Ibaraki Univ.) IBISML2017-68 |
[more] |
IBISML2017-68 pp.251-254 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Variational Bayes method for matrix factorization to two sparse factorized matrices Tomoki Tamai, Koujin Takeda (Ibaraki Univ.) IBISML2017-75 |
[more] |
IBISML2017-75 pp.297-300 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Approximate Method of Variational Bayesian Matrix Completion with Sparse Prior Ryota Kawasumi, Koujin Takeda (Ibaraki Univ) IBISML2016-62 |
[more] |
IBISML2016-62 pp.117-121 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Application of partial parallel interference cancellation to sparse signal recovery Koujin Takeda (Ibaraki Univ.), Toshiyuki Tanaka (Kyoto Univ.) IBISML2014-35 |
We apply partial parallel interference cancellation scheme in CDMA demodulation to sparse signal recovery in compressed ... [more] |
IBISML2014-35 pp.1-7 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Feature Extraction for Image Classification using Restricted Boltzmann Machines Reiki Suda, Koujin Takeda (Ibaraki Univ.) IBISML2014-36 |
Learning restricted Boltzmann machines (RBMs) for high-dimensional data using maximum likelihood estimation had been fac... [more] |
IBISML2014-36 pp.9-15 |
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 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Replica Symmetry Breaking in Compressed Sensing Koujin Takeda, Yoshiyuki Kabashima (Tokyo Tech.) IBISML2011-60 |
In our preceding works, we provided a general framework for estimating the reconstruction limit in compressed sensing by... [more] |
IBISML2011-60 pp.123-126 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Performance analysis of compressed sensing under correlated signals Koujin Takeda, Yoshiyuki Kabashima (Tokyo Tech.) IBISML2010-83 |
We provide a scheme for exploring the reconstruction limit of compressed sensing by minimizing the general cost function... [more] |
IBISML2010-83 pp.175-180 |
IBISML |
2010-11-05 15:30 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Statistical mechanical analysis of hierarchical random code ensemble in signal processing Koujin Takeda (Tokyo Tech.), Tomoyuki Obuchi (Osaka Univ.), Kazutaka Takahashi (Tokyo Tech.) IBISML2010-90 |
The relation between signal processing in information science and statistical physics has been intensively discussed. In... [more] |
IBISML2010-90 pp.231-238 |