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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2018-03-14 11:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO)  NC2017-91 |
Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] | NC2017-91 pp.139-144 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2016-07-06 14:55 |
Okinawa | Okinawa Institute of Science and Technology | Classification analysis of high-dimensional data based on L0-norm optimization. Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) NC2016-14 |
Advances in sensing devices allow us to measure high-dimensional data easily, but the sample size is often limited becau... [more] | NC2016-14 pp.223-228 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Statistical mechanical analysis of lossy compression by overcomplete basis Yoshinori Nakanishi-Ohno (Univ. Tokyo), Tomoyuki Obuchi (Tokyo Tech), Masato Okada (Univ. Tokyo), Yoshiyuki Kabashima (Tokyo Tech) IBISML2014-50 |
Information processing using the sparsity of information has been actively studied such as compressed sensing. In this ... [more] |
IBISML2014-50 pp.119-126 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Statistical mechanics of Bayesian optimal dictionary learning Ayaka Sakata, Yoshiyuki Kabashima (Tokyo Inst. of Tech.) IBISML2013-40 |
Dictionary learning is a problem to learn a dictionary matrix D (M times N dimension) and a sparse matrix X (N times P ... [more] | IBISML2013-40 pp.31-38 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Typical case analysis of sample complexity in Dictionary Learning Ayaka Sakata, Yoshiyuki Kabashima (Tokyo Tech.) IBISML2012-50 |
Finding a basis matrix (dictionary) by which objective signals are represented sparsely is of major relevance in various... [more] | IBISML2012-50 pp.113-120 |
| 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 | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Cavity analysis of correlated interdependent network Shunsuke Watanabe, Yoshiyuki Kabashima (Tokyo Tech) IBISML2012-92 |
We study the percolation phenomena of two mutually coupled (interdependent) networks analytically and experimentally. In... [more] | IBISML2012-92 pp.417-424 |
| 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 | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Extracting semantic orientations using lexical networks
-- Performance improvement from the viewpoint of statistical mechanics -- Takuma Goto, Yoshiyuki Kabashima, Hiroya Takamura (Tokyo Tech) IBISML2010-62 |
We propose a method for improving the performance of the polarity lexicon extraction based on a spin model. In the schem... [more] | IBISML2010-62 pp.19-25 |
| 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 |
| IT | 2010-09-22 14:20 |
Miyagi | Tohoku Gakuin University | Average Error Exponent of Undetedted Error Probability of Binary Matrix Ensembles Kazushi Mimura (Hiroshima City Univ.), Tadashi Wadayama (Nagoya Inst. Tech.), Toshiyuki Tanaka (Kyoto Univ.), Yoshiyuki Kabashima (Tokyo Inst. Tech.) IT2010-47 |
[more] | IT2010-47 pp.81-85 |
| IT | 2008-10-07 16:45 |
Tochigi | Asaya Hotel(Kinugawa Onsen) | [Invited Talk]
Gallager bound of channel coding and the replica method Yoshiyuki Kabashima (Tokyo Inst. Tech.) IT2008-42 |
We explore the relationship between techniques of information theory and statistical mechanics for assessing the perfo... [more] |
IT2008-42 pp.23-28 |
| NC | 2006-06-16 10:50 |
Okinawa | OIST | A method for searching local minmum of free energy for which congergence is guaranteed Yukinori Tonosaki, Yoshiyuki Kabashima (Titech) |
[more] | NC2006-27 pp.31-36 |
| NC | 2006-03-15 09:30 |
Tokyo | Tamagawa University | Mean field algorithms for Bayesian learning in perceptron type probabilistic models Shinsuke Uda, Yoshiyuki Kabashima (TITech.) |
We develop a computationally tractable approximate algorithm for Bayesian learning in perceptron type probabilistic mode... [more] | NC2005-114 pp.51-56 |
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