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Technical Committee on Neurocomputing (NC)  (Searched in: 2009)

Search Results: Keywords 'from:2009-10-23 to:2009-10-23'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2009-10-23
14:30
Saga Saga University Unified Formulation of Graph-Based Image Smoothing and Learning
Chang Jian, Kohei Inoue, Kiichi Urahama (Kyushu Univ.) NC2009-37
 [more] NC2009-37
pp.1-6
NC 2009-10-23
14:55
Saga Saga University Network IP packet analysis method using statistical information by Self-Organizing Maps
Takeru Kabashima, Hiroshi Dozono (Saga Univ.) NC2009-38
Recently, the spread of the Internet makes familiar to the crimes concerning the Internet, such as a DoS attack and a DD... [more] NC2009-38
pp.7-12
NC 2009-10-23
15:20
Saga Saga University An Application of VMD/CSW Method to Travelling Salesman Problem
Kiyotaka Yamashita, Hiroshi Wakuya (Saga Univ.) NC2009-39
A virtual magnetic diminuendo (VMD) method inspired from the correspondence between the Hopfield network and the spin gl... [more] NC2009-39
pp.13-18
NC 2009-10-23
16:00
Saga Saga University Statistical mechanics of a Mexican-hat-type network with Depressing Synapses
Yasuhiko Igarashi, Masafumi Oizumi (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2009-40
 [more] NC2009-40
pp.19-24
NC 2009-10-23
16:25
Saga Saga University An Associative Memory with Online Learning and Temporal Memory
Wataru Kasai, Naoya Makibuchi, Osamu Hasegawa (Tokyo Inst. of Tech.) NC2009-41
In this paper, we propose new system to realize some useful functions needed for the associative memory. By building thr... [more] NC2009-41
pp.25-30
NC 2009-10-23
16:50
Saga Saga University Neural mechanism of action of transcranial magnetic stimulation
Daisuke Suzuki (Tokyo Univ. of Tech.) NC2009-42
Transcranial magnetic stimulation (TMS) is a method to stimulate the brain noninvasively and safer than electrical stimu... [more] NC2009-42
pp.31-34
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 2009-10-24
13:00
Saga Saga University [Invited Talk] GPGPU-Enabled Real-Time Visual Motion Detection by Spatiotemporal Gabor Filter and Its Application
Akitoshi Hanazawa (Kyushu Inst of Tech) NC2009-46
The aim of this study is to develop a real-time visual motion detection system by using physiologically meaningful image... [more] NC2009-46
pp.53-58
NC 2009-10-24
14:15
Saga Saga University Real-time zero disparity filter for moving objects based on spatiotemporal and disparity energy model on GPU
Satoshi Matsushita, Akitoshi Hanazawa (Kyushu Inst. of Tech.) NC2009-47
Disparity energy model and spatiotemporal energy model has been proposed as the models of depth and motion sensitivity o... [more] NC2009-47
pp.59-62
NC 2009-10-24
14:40
Saga Saga University Detection of optical flow based on local motion signals detected by spatiotemporal Gabor filter
Kouichi Arai, Akitoshi Hanazawa (Kyushu Inst. of Tech.) NC2009-48
When we move to a target position in the presence of moving objects, we must judge their heading (or direction of self-m... [more] NC2009-48
pp.63-67
NC 2009-10-24
15:05
Saga Saga University A silicon retina containing a switched-resistor network applied to a boundary-based coupled MRF model
Yukihiro Tomonaga, Shosuke Morimoto, Seiji Kameda, Atsushi Iwata (Hirhoshima Univ.) NC2009-49
A neuromorphic silicon retina carries out real-time image processing
by massively-parallel circuit structure. We have ... [more]
NC2009-49
pp.69-74
 Results 1 - 13 of 13  /   
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