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Technical Committee on Neurocomputing (NC)  (Searched in: 2011)

Search Results: Keywords 'from:2011-07-25 to:2011-07-25'

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2011-07-25
10:20
Hyogo Graduate School of Engineering, Kobe University Stability Analysis on Multistate Hopfield Neural Networks Based on Commutative Quaternion
Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. Hyogo) NC2011-20
Two types of multistate Hopfield neural networks are explored in this paper.
These networks are based on commutative qu... [more]
NC2011-20
pp.1-6
NC 2011-07-25
10:45
Hyogo Graduate School of Engineering, Kobe University Optimization of the Sparsely Encoded Associative Memory Model with Forgetting Process by the Mutual Information
Jun Tsuzurugi (Okayama Univ. Science), Ryota Miyata (Tokyo Tech Univ..), Koji Kurata (Univ. of Ryukyus.) NC2011-21
 [more] NC2011-21
pp.7-10
NC 2011-07-25
11:10
Hyogo Graduate School of Engineering, Kobe University Hybrid Control of Network Coupled Dynamical System
Toru Murayama, Zhi-Wei Luo, Akinori Nagano (Kobe Univ.) NC2011-22
We report a hybrid control method of a network coupled system.
A network coupled system is a coupled system whose subsy... [more]
NC2011-22
pp.11-14
NC 2011-07-25
11:35
Hyogo Graduate School of Engineering, Kobe University A Gabor Wavelet Pyramid-based Elastic Graph Dynamic Link Model
Yasuomi D. Sato (Kyushu Inst. of Tech./FIAS/BTCC), Yasutaka Kuriya (Kyushu Inst. of Tech.) NC2011-23
 [more] NC2011-23
pp.15-18
NC 2011-07-25
13:20
Hyogo Graduate School of Engineering, Kobe University Statistical Learning Theory of Unrealizable and Singular Cases
Sumio Watanabe (Tokyo Tech) NC2011-24
 [more] NC2011-24
pp.19-24
NC 2011-07-25
13:45
Hyogo Graduate School of Engineering, Kobe University General Framework for Local Variational Approximation of Bayesian Learning Using Bregman Divergence
Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2011-25
The local variational method is a technique to approximate an intractable posterior distribution in Bayesian learning. T... [more] NC2011-25
pp.25-30
NC 2011-07-25
14:10
Hyogo Graduate School of Engineering, Kobe University Belief Propagation for Slow Feature Analysis
Tomoki Sekiguchi (The Univ. of Tokyo), Toshiaki Omori, Masato Okada (The Univ. of Tokyo/RIKEN) NC2011-26
The slow feature analysis (SFA) is a data analysis method that extracts
slowly varying features from time series data. ... [more]
NC2011-26
pp.31-36
NC 2011-07-25
14:50
Hyogo Graduate School of Engineering, Kobe University Statistical Mechanical Analysis of Adaptive Filter
Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) NC2011-27
 [more] NC2011-27
pp.37-42
NC 2011-07-25
15:15
Hyogo Graduate School of Engineering, Kobe University Importance weighted incremental learning of a limited kernel machine
Koichiro Yamauchi (Chubu Univ) NC2011-28
 [more] NC2011-28
pp.43-48
NC 2011-07-25
15:40
Hyogo Graduate School of Engineering, Kobe University An Incremental Learning Algorithm of Kernel Principal Component Analysis for Chunk Data
Takaomi Tokumoto, Seiichi Ozawa (Kobe Univ) NC2011-29
In this paper, a new algorithm for Kernel Principal Component Analysis (KPCA) is proposed.
We extended Takeuchi et al's... [more]
NC2011-29
pp.49-54
NC 2011-07-25
16:05
Hyogo Graduate School of Engineering, Kobe University Effect of visual biofeedback on motor imagery
Shinichi Nagai, Yuki Murase, Keiko Seki, Akinori Nagano, Zhiwei Luo (Kobe Univ.) NC2011-30
The motor imagery of the body is frequently used for the BCI or rehabilitation. However, it is reported that the brain a... [more] NC2011-30
pp.55-60
NC 2011-07-25
16:45
Hyogo Graduate School of Engineering, Kobe University [Invited Talk] Innovation of Health Engineering for Aging Society
Zhiwei Luo (Kobe Univ.) NC2011-31
 [more] NC2011-31
pp.61-64
NC 2011-07-26
09:30
Hyogo Graduate School of Engineering, Kobe University Statistical estimation of non-uniform dendritic membrane properties
Toshiaki Omori (Univ. of Tokyo/RIKEN), Toru Aonishi (Tokyo Tech.), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-32
We propose a statistical algorithm for extracting non-uniform dendritic membrane properties from partially observable no... [more] NC2011-32
pp.65-70
NC 2011-07-26
09:55
Hyogo Graduate School of Engineering, Kobe University Detection of alpha phase modulation caused by visual input
Yasushi Naruse (NICT), Ken Takiyama (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN), Hiroaki Umehara (NICT) NC2011-33
Ongoing oscillations in electroencephalogram (EEG) and magnetoencephalogram (MEG) have recently gained attention, since ... [more] NC2011-33
pp.71-74
NC 2011-07-26
10:20
Hyogo Graduate School of Engineering, Kobe University Estimation of fluid distributions from seismic velocity structure using Markov random field modelling
Tatsu Kuwatani, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN), Mitsuhiro Toriumi (JAMSTEC) NC2011-34
 [more] NC2011-34
pp.75-80
NC 2011-07-26
11:00
Hyogo Graduate School of Engineering, Kobe University Image Segmentation and Restoration using Region-Based Hidden Variables and Belief Propagation
Ryota Hasegawa (Kansai Univ.), Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) NC2011-35
We derive a deterministic algorithm that restores and segments an image using belief propagation and a variational Bayes... [more] NC2011-35
pp.81-86
NC 2011-07-26
11:25
Hyogo Graduate School of Engineering, Kobe University A Pulsed Neuron Model for Hardware Implementation without Multiplier
Yusuke Hosoi, Kazunori Matsuo (Kumamoto-nct), Norihiro Kurokawa, Hiroyasu Yamamoto (Techno Design), Minoru Motoki (Kumamoto-nct) NC2011-36
The neural network has a problem about response time. Therefore it is necessary to become hardware. Iwata, et al propose... [more] NC2011-36
pp.87-92
NC 2011-07-26
11:50
Hyogo Graduate School of Engineering, Kobe University Origin and computational roles of spontaneous noise in cortex
Jun-nosuke Teramae, Tomoki Fukai (RIKEN BSI) NC2011-37
(To be available after the conference date) [more] NC2011-37
pp.93-96
NC 2011-07-26
13:15
Hyogo Graduate School of Engineering, Kobe University Leg joint coordination in backward walking
Hiromichi Suenaga, Shoko Kaichida, Yoshimitsu Hashizume, Jun Nishii (Yamaguchi Univ.) NC2011-38
In this study, we analyzed the leg joint coordination, a.k.a. joint synergy, in backward walking by the UCM analysis and... [more] NC2011-38
pp.97-102
NC 2011-07-26
13:40
Hyogo Graduate School of Engineering, Kobe University A Coupled Oscillators Model of M1 with Mutual Inhibition on a Movement Onset
Yusuke Kawanabe, Yuta Kakimoto, Osamu Araki (TUS) NC2011-39
It is reported that frequency shift from beta-band to gamma-band in the primary motor area (M1) occurs on an onset of vo... [more] NC2011-39
pp.103-107
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