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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
Tokyo University of Electro Communications 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
IBISML 2018-11-05
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
IBISML 2017-11-10
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
IBISML 2017-11-10
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
IBISML 2016-11-16
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
IBISML 2014-11-17
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
IBISML 2014-11-17
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
IBISML 2012-11-08
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
IBISML 2011-11-09
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
IBISML 2010-11-05
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
IBISML 2010-11-05
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
 Results 1 - 11 of 11  /   
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