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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| SANE | 2012-01-26 13:00 |
Nagasaki | Nagasaki Prefectural Art Museum | Learning for ATC decision on priority of runway usage Masato Fujita (ENRI) SANE2011-141 |
With the miniaturization of aircraft and increasing air traffic demand, the workload of air traffic controllers is expec... [more] | SANE2011-141 pp.1-4 |
| NC, MBE (Joint) |
2011-12-20 11:20 |
Aichi | Nagoya Institute of Technology | Eigen Vector Descent and Line Search for Multilayer Perceptron Seiya Satoh, Ryohei Nakano (Chubu Univ.) NC2011-87 |
As learning methods of a multilayer perceptron (MLP), we have the BP algorithm, Newton's method, quasi-Newton method, an... [more] | NC2011-87 pp.19-24 |
| NC, MBE (Joint) |
2011-12-20 11:45 |
Aichi | Nagoya Institute of Technology | Complex-valued Multilayer Perceptron Search Unilizing Eigen Vector Descent and Reducibility Mapping Shinya Suzumura, Ryohei Nakano (Chubu Univ.) NC2011-88 |
A complex-valued multilayer perceptron (MLP) can approximate a periodic or unbounded function, which cannot be easily re... [more] | NC2011-88 pp.25-30 |
| NC | 2011-10-20 13:10 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Statistical Mechanics of Node-Perturbation Learning for Nonlinear Perceptron Kazuyuki Hara (Nihon Univ.), Kentaro Katahira (JST), Kazuo Okanoya (RIKEN), Masato Okada (Tokyo Univ.) NC2011-63 |
Node-perturbation learning is a kind of statistical gradient descent algorithm that can be applied to problems where the... [more] | NC2011-63 pp.107-112 |
| SP | 2011-06-23 13:00 |
Aichi | Nagoya Univ. | [Invited Talk]
Fundamentals and recent research trends in feature extraction Takashi Fukuda (IBM) SP2011-30 |
Cepstral coefficients and their dynamics that represent temporal variations have been widely used for automatic speech r... [more] | SP2011-30 pp.1-6 |
| NLP | 2011-05-27 09:10 |
Kagawa | Olive park olive memorial hall | Investigation of Multi-Layer Perceptron with Pulse Glial Chain Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2011-10 |
A glia is a nervous cell in the brain. Currently, the glia is known as a important cell for the human's cerebration. Bec... [more] | NLP2011-10 pp.45-48 |
| NC, NLP | 2011-01-24 09:55 |
Hokkaido | Hokakido Univ. | Investigate of Multi-Layer Perceptron with Glial Network Receiving Local External Stimulus Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2010-126 NC2010-90 |
We have proposed the glial network which was inspired from the feature of brain. In the glial network, glias generate in... [more] | NLP2010-126 NC2010-90 pp.7-11 |
| AN, MoNA, USN (Joint) |
2011-01-20 12:00 |
Hiroshima | Hiroshima City University | [Technology Exhibit]
Adaptive Estimation of Displayed Presence Messages using Personal Attributes Hiroshi Isomura, Yuusuke Kawakita (UEC), Miyuki Imada (NTT), Etsuko Suzuki, Haruhisa Ichikawa (UEC) MoMuC2010-64 AN2010-55 USN2010-48 |
Sensing one’s personal situation (presence) and showing it to others facilitates communication, but showing same presenc... [more] | MoMuC2010-64 AN2010-55 USN2010-48 pp.29-30(MoMuC), pp.59-60(AN), pp.53-54(USN) |
| NC, MBE [detail] | 2010-12-19 11:20 |
Aichi | Nagoya Univ. | Search Method Utilizing Singular Region of Multilayer Perceptron Seiya Satoh, Takayuki Ohwaki, Ryohei Nakano (Chubu Univ.) MBE2010-70 NC2010-81 |
In a search space of MLP(J), multi-layer perceptron having J hidden units, there exists a singular region created by the... [more] | MBE2010-70 NC2010-81 pp.85-90 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Improvement of accuracy in biometrics authentication by dummy data Akihiro Nakajima, Tomoko Ozeki (Tokai Univ.) IBISML2010-82 |
In this paper, we propose a new method to improve the accuracy in biometrics authentication by adding dummy data. Becaus... [more] | IBISML2010-82 pp.169-174 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Statistical mechanics of on-line learning using correlated examples Kento Nakao (Kansai Univ.), Yuuta Narukawa (Daihen), Seiji Miyoshi (Kansai Univ.) IBISML2010-91 |
We consider a model composed of nonlinear perceptrons and analytically investigate the generalization performance of lea... [more] | IBISML2010-91 pp.239-244 |
| NLP | 2010-07-12 11:05 |
Ishikawa | Ishikawa Prefectural Bunkyo Hall | Multi-Layer Perceptron Having Neuro-Glia Network Chihiro Ikuta, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2010-31 |
In this paper, we propose a Multi-Layer Perceptron (MLP) having neuro-glia network. Neuro-glia network is a network of m... [more] | NLP2010-31 pp.13-17 |
| NC, NLP | 2009-07-14 13:00 |
Nara | NAIST | Statistical Mechanics of Node-perturbation learning Kazuyuki Hara (Tokyo Metro. Colle. Ind. Eng.), Kentaro Katahira (ERATO), Kazuo Okanoya (RIKEN), Masato Okada (Tokyo Univ.) NLP2009-38 NC2009-31 |
Node-perturbation learning is a stochastic gradient method, and it can apply to the problem where the objective functi... [more] |
NLP2009-38 NC2009-31 pp.127-132 |
| NC | 2009-01-19 14:45 |
Hokkaido | Hokkaido Univ. | Node perturbation learning with noisy reference Tatsuya Cho (Univ. of Tokyo), Kentaro Katahira, Masato Okada (Univ of Tokyo/RIKEN Brain Scie Inst.) NC2008-89 |
We propose a node perturbation learning with noisy reference signal. Recently, the method for node perturbation has inv... [more] |
NC2008-89 pp.43-47 |
| NLP | 2008-11-06 10:50 |
Aichi | Structure Extraction of Time Series Generated by Multiple Rules Junichiro Kotani, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) NLP2008-59 |
In time series analysis a structure of time series is often described by one rule. However, sometimes time series may b... [more] |
NLP2008-59 pp.11-16 |
|
| NC, MBE (Joint) |
2008-03-13 11:10 |
Tokyo | Tamagawa Univ | Handwritten Character Distinction Method Inspired by Human Vision Mechanism Junpei Koyama (The Univ. of Tokyo), Masahiro Kato (Fuji Xerox), Akira Hirose (The Univ. of Tokyo) NC2007-151 |
We deal with distinction between handwritten and machine-printed characters in document images. Current distinction tech... [more] | NC2007-151 pp.231-236 |
| MBE, NC (Joint) |
2007-12-22 09:00 |
Aichi | A Study on Conditional Quantile Estimation for Location-Scale Models Mitsuhiro Yoshida, Yusuke Higuchi, Ichiro Takeuchi (Mie Univ.) NC2007-71 |
A family of conditional quantile functions provides deep insight into the underlying stochastic relationship between va... [more] |
NC2007-71 pp.1-6 |
|
| SIS | 2007-12-11 12:45 |
Hyogo | On the SIRMs Connected Fuzzy Reasoning Method Using Kernel Hirosato Seki (Osaka Univ.), Fuhito Mizuguchi (Kronos), Satoshi Watanabe, Hiroaki Ishii (Osaka Univ.), Masaharu Mizumoto (Osaka Electro-Communication Univ.) SIS2007-63 |
Single Input Rule Modules connected fuzzy reasoning method (SIRMs method, for short) by Yubazaki can decrease the number... [more] | SIS2007-63 pp.29-34 |
|
| MVE, PRMU | 2007-11-29 11:00 |
Ehime | Ehime University | An Improved Third-order Discrimination System for Two-dimensional Point Distribution Using Its Topology and Similar Distribution Estimated Statistically Takeshi Kaita (Oshima College), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita PRMU2007-128 MVE2007-61 |
We propose an improved third-order system for the discrimination of two-dimensional point distributions. This has traini... [more] | PRMU2007-128 MVE2007-61 pp.7-12 |
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