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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, NLP |
2013-01-25 14:10 |
Hokkaido |
Hokkaido University Centennial Memory Hall |
Development of a Spiking Neural Network System Consisting of a Dedicated Analog LSI Chip Controlled by an FPGA Michitaka Maeda, Frank Maldonado H., Takayuki Matsuo, Hideki Tanaka, Haichao Liang, Kenji Matsuzaka, Takashi Morie (Kyutech), Kazuyuki Aihara (Univ. of Tokyo) NLP2012-136 NC2012-126 |
Spiking neuron models, in which analog information is expressed by the timing of neuronal spike firing events, attract a... [more] |
NLP2012-136 NC2012-126 pp.181-186 |
NC |
2011-10-20 14:25 |
Fukuoka |
Ohashi Campus, Kyushu Univ. |
A Spiking Neuron Device Consisting of Nanodisk Array Structures and CMOS Circuits Haichao Liang, Takashi Morie, Yilai Sun (Kyutech), Makoto Igarashi, Seiji Samukawa (Tohoku Univ.) NC2011-66 |
We propose an integrate-and-fire type spiking neuron device consisting of CMOS circuits and nanodisk array structures fa... [more] |
NC2011-66 pp.125-129 |
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] |
2011-02-22 14:30 |
Hokkaido |
Hokkaido University |
A motion detection model using monocular camera images inspired by the neuronal propagation in the hippocampus and its application to obstacle detection Haichao Liang, Takashi Morie (KIT) ITS2010-64 IE2010-139 |
Motion detection and collision warning are essential issues in advanced driver assistance systems. We have already propo... [more] |
ITS2010-64 IE2010-139 pp.269-274 |
NC |
2010-10-23 15:20 |
Fukuoka |
Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) |
Parametric control in a region-based coupled MRF model for coarse image region segmentation towards its VLSI implementation Haichao Liang, Kenji Matsuzaka, Kazuki Nakada (Kyushu Inst of Tech), Masato Okada (Univ. of Tokyo/RIKEN), Takashi Morie (Kyushu Inst of Tech) NC2010-48 |
For visual image processing, coupled Markov random field (MRF) models have been proposed, and they are classified into b... [more] |
NC2010-48 pp.35-40 |
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