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Technical Committee on Neurocomputing (NC) (Searched in: 2009)
Search Results: Keywords 'from:2010-01-18 to:2010-01-18'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC | 2010-01-18 13:15 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | [Invited Talk]
Noise-driven Computing on Neuromorphic VLSIs Tetsuya Asai (Hokkaido Univ.)  NC2009-71 |
[more] | NC2009-71 pp.1-6 |
| NC | 2010-01-18 14:15 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | A study of the timing mechanism in a cerebellar network model implemented on FPGA Kanako Matsuno (UEC), Takeru Honda (UEC/RIKEN), Hideaki Manabe (UEC), Shigeru Tanaka (UEC/RIKEN), Tetsuro Nishino (UEC) NC2009-72 |
A cerebellar network model has been proposed previously, in which the passage of time can be represented based on the ... [more] |
NC2009-72 pp.7-12 |
| NC | 2010-01-18 14:40 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Brain mechanisms of dynamic image generation based on body schema(1) Toshio Inui (Kyoto Univ.), Yoko Yamaguchi (RIKEN), Naoyuki Sato (Future Univ-Hakodate), Hiroaki Mizuhara, Takafumi Sasaoka, Nobuhiko Asakura (Kyoto Univ.) NC2009-73 |
[more] | NC2009-73 pp.13-18 |
| NC | 2010-01-18 15:05 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Shape group representation using higher-rank SOM with affine-invariant distance measure Sho Yakushiji, Takashi Ohkubo, Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2009-74 |
This study aims to develop an observation-invariant classification lgorithm of multi-class models. The task of the arch... [more] |
NC2009-74 pp.19-24 |
| NC | 2010-01-18 15:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Learning Machine having Curiosity
-- Sequential Learning and Model Selection under Unstable Environments -- Koichiro Yamauchi (Chubu University) NC2009-75 |
In this research, an weighted error function for the learning of RBFNN under virtual concept drift environments is prop... [more] |
NC2009-75 pp.25-30 |
| NC | 2010-01-18 16:05 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Rigorous Calculation Method of Bayes Marginal Likelihood in Normal Mixture Tetsutaro Yamada, Keisuke Yamazaki, Sumio Watanabe (Tokyo Inst. of Tech.) NC2009-76 |
In this paper, we propose a new calculation algorithm for the rigorous Bayes marginal likelihood in normal mixture, and ... [more] | NC2009-76 pp.31-36 |
| NC | 2010-01-18 16:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Necessary Data Length for HMMs Based on the Vicarious Bayes Learning Keisuke Yamazaki (Tokyo Inst. of Tech.) NC2009-77 |
The present paper analyzes the change of parameter learning due to feature selections and investigates conditions to ha... [more] |
NC2009-77 pp.37-42 |
| NC | 2010-01-18 16:55 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | On Generalizaition Errors of Self-organizing Map Fumiaki Saitoh, Sumio Watanabe (Tokyo Inst. of Tech.) NC2009-78 |
Self-organizing map is usually used for estimation of a low dimensional manifold in high dimensional space. The main pur... [more] | NC2009-78 pp.43-48 |
| NC | 2010-01-18 17:20 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | On learning characteristics of binary neural networks with fuzziness tolerance Shutaro Kabeya, Toshimichi Saito (Hosei Univ.) NC2009-79 |
This paper applies the genetic algorithm (GA) to the binary neural networks (BNN) with fuzziness tolerance and studies l... [more] | NC2009-79 pp.49-54 |
| NC | 2010-01-19 10:15 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Response of a vibrate-and-fire spiking neuron circuit to spike-train input Yuji Kawai, Toshimichi Saito (Hosei Univ.) NC2009-80 |
This paper studies a vibrate-and-fire spiking circuit consisting of two capacitors, one voltage-controled current source... [more] | NC2009-80 pp.55-59 |
| NC | 2010-01-19 10:40 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Artificial spiking neuron of characteristics Shimon Teshima, Toshimichi Saito (Hosei univ.) NC2009-81 |
[more] | NC2009-81 pp.61-64 |
| NC | 2010-01-19 11:05 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Effective common input for pattern transition in a pulse associative memory model Keiko Ishimaru, Masaki Kawamura (Yamaguchi Univ.) NC2009-82 |
We show common input can induce pattern transitions in a pulse associative memory model. The common input is one of exte... [more] | NC2009-82 pp.65-70 |
| NC | 2010-01-19 11:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Hidden Structures Detection in Nonstationary Spike Trains Ken Takiyama (Univ. of Tokyo.), Masato Okada (Univ. of Tokyo./RIKEN) NC2009-83 |
[more] | NC2009-83 pp.71-76 |
| NC | 2010-01-19 13:30 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | An Estimator Based on Empirical Likelihood and Its Properties Manabu Takeda (Kyoto Univ.), Kazushi Ikeda, Takashi Takenouchi (NAIST), Yuki Yoshida (Osaka Univ.) NC2009-84 |
Empirical Likelihood is a nonparametric statistical inference method. It is applied mainly to statistical test and const... [more] | NC2009-84 pp.77-81 |
| NC | 2010-01-19 13:55 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | Analysis of the Difference of Food Menu Preference Between Supposed and Real Situations Hideki Asoh, Yoichi Motomura (AIST), Chihiro Ono (KDDI Labs) NC2009-85 |
Modeling users' preference becomes important for providing personalized services. In order to construct context-aware st... [more] | NC2009-85 pp.83-88 |
| NC | 2010-01-19 14:20 |
Hokkaido | Hyakunen-Kinen in Hokkaido University | An Extension of Matrix Factorization to Mixture Model and an Application to Prediction of Movie Ratings Masayoshi Nakamura, Takashi Takenouchi, Kazushi Ikeda (NAIST) NC2009-86 |
Recommendation systems suggest items to an user, based on existing history of evaluation for itemsby the users. In many ... [more] | NC2009-86 pp.89-93 |
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