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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| QIT (2nd) |
2016-11-25 13:00 |
Ibaraki | KEK Kobayashi-hall | [Invited Talk]
Anomalous Quantum States associated with Quantum Breaking of Equivalence of Ensembles Akira Shimizu, Mamiko Tatsuta (Univ. Tokyo) |
There are many `ensembles' in statistical mechanics. When the equivalence of ensembles is broken, we show that a certai... [more] | |
| MoNA, IN (Joint) |
2015-11-18 14:45 |
Kumamoto | Kumamoto University | Thermodynamics of Information Networks Daichi Kominami, Masayuki Murata, Tetsuya Yomo (Osaka Univ.)  IN2015-70 |
Thermodynamics is known as one of the framework for describing the behavior of large-scale systems such as natural syste... [more] | IN2015-70 pp.51-56 |
| MBE, NC (Joint) |
2014-11-21 11:50 |
Miyagi | Tohoku University | Hyper-parameter estimation for compressive sensing with a Bernoulli-Gauss prior distribution Toshiyuki Watanabe, Jun-ichi Inoue (Hokkaido Univ.) NC2014-28 |
Compressive sensing is a theory that estimates sparse information signals which has few non-zero elements from less ... [more] |
NC2014-28 pp.15-20 |
| SIP | 2014-08-28 15:30 |
Osaka | Ritsumeikan Univ. (Osaka Umeda Campus) | [Tutorial Lecture]
Statistical-Mechanical Approach to Signal Processing Seiji Miyoshi (Kansai Univ.) SIP2014-78 |
Statistical mechanics, which is a branch of physics, was constructed with the aim of understanding the macroscopic prope... [more] | SIP2014-78 p.29 |
| QIT (2nd) |
2014-05-12 - 2014-05-13 |
Aichi | Nagoya Univ. | [Poster Presentation]
statistical mechanics formulation of prime factorization Chihiro H Nakajima (Tohoku Univ.) |
We propose a new approach to solve the problem of the prime factorization, formulating the problem as a ground state sea... [more] | |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Statistical-mechanical analysis of active noise control Rei Fujiwara, Yoshinobu Kajikawa, Seiji Miyoshi (Kansai Univ.) IBISML2013-65 |
We analyze the dynamical behaviors (learning curves) of the active noise control using a statistical-method. Cross-co... [more] |
IBISML2013-65 pp.219-224 |
| EA, SP, SIP | 2012-05-24 13:20 |
Osaka | Osaka Univ. Nakanoshima Center | Statistical mechanical of the FXLMS algorithm and its accuracy Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) EA2012-10 SIP2012-10 SP2012-10 |
We analyze the dynamical behaviors (learning curves) of active noise control with FXLMS algorithm using statistical mech... [more] | EA2012-10 SIP2012-10 SP2012-10 pp.53-58 |
| NLP | 2012-04-20 09:45 |
Mie | Ise City Plaza | Statistical Mechanics of Phase Unwrapping Using the Q-Ising Model Yohei Saika (Gunma NCT), Tatsuya Uezu (Nara Women's Univ.) NLP2012-12 |
On the basis of analogy between statistical mechanics and Bayesian inference, we constructed a method of phase unwrappin... [more] | NLP2012-12 pp.61-65 |
| MSS, CAS, VLD, SIP | 2011-06-30 10:00 |
Okinawa | Okinawa-Ken-Seinen-Kaikan | Statistical Mechanical Analysis of the Filtered-X LMS Algorithm (II) Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) CAS2011-4 VLD2011-11 SIP2011-33 MSS2011-4 |
We analyze the dynamical behaviors (learning curves) of active noise control with Filtered-X LMS algorithm using statist... [more] | CAS2011-4 VLD2011-11 SIP2011-33 MSS2011-4 pp.19-24 |
| NC, MBE (Joint) |
2011-03-09 11:05 |
Tokyo | Tamagawa University | Image restoration for computed tomography image with Bayesian approach Junta Ueki, Hayaru Shouno (UEC) NC2010-189 |
When a doctor diagnose patient，a doctor use a computed tomography image．When we get computed tomography image，we expect ... [more] | NC2010-189 pp.367-372 |
| NC, MBE (Joint) |
2010-03-11 17:15 |
Tokyo | Tamagawa University | Analysis of Autocorrelation type Associative Memory Model with Hierarchical Patterns by Using PCA Teijiro Shiotsuka (Waseda Univ.), Kenji Nagata, Koji Hukushima (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN), Masato Inoue (Waseda Univ.) NC2009-158 |
The statistical mechanical approach is useful and has been applied to various problems in the field of information proce... [more] | NC2009-158 pp.413-418 |
| NC | 2009-10-24 10:15 |
Saga | Saga University | Construction of the maximizer of posterior marginal estimate by Langevin equation in probabilistic image processing Wataru Norimatsu, Jun-ichi Inoue (Hokkaido Univ.) NC2009-43 |
We formulate the maximizer of posterior marginal (MPM) estimate for Bayesian probabilistic image processing by using the... [more] | NC2009-43 pp.35-40 |
| NC | 2009-10-24 10:40 |
Saga | Saga University | Mean-field theoretical approach to Bayesian estimation of motion velocity vector in successive digital images Yuya Inagaki, Jun-ichi Inoue (Hokkaido Univ.) NC2009-44 |
We examine a mean-field iterative aigorithm to estimate motion velocity vector fields in successive digital images based... [more] | NC2009-44 pp.41-46 |
| NC | 2009-10-24 11:05 |
Saga | Saga University | Learning of a Gibbs distribution from gene configurations in the genetic algorithm Manabu Kitagata, Jun-ichi Inoue (Hokkaido Univ.) NC2009-45 |
We introduce a learning algorithm of Gibbs distributions from training sets which are gene configurations generated by G... [more] | NC2009-45 pp.47-52 |
| NC | 2008-11-07 15:20 |
Saga | Saga Univ. | Neural network model with discrete and continuous information representation Jun Kitazono (Univ. of Tokyo), Toshiaki Omori, Masato Okada (Univ. of Tokyo/RIKEN) NC2008-61 |
An associative memory model and a neural network model with Mexican-hat type interaction are the two most typical attrac... [more] | NC2008-61 pp.13-18 |
| NC | 2007-05-21 16:25 |
Kanagawa | Tokyo Inst. Tech.(Suzukakedai Campus) | Image restoration with Truncated Gaussian model Hiroyuki Tanaka, Keiji Miura (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN) NC2007-7 |
On the theory of image restoration, one tries to reconstruct the original image from the image to which a noise is added... [more] | NC2007-7 pp.29-34 |
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