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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)		 2011-03-07
14:10		 Tokyo Tamagawa University Design of PWM Pixel-parallel LSI Implementing Region/Boundary-based Coupled MRF Models for Coarse Image Region Segmentation
Yusuke Hata, Kenji Matsuzaka, Hiromi Nishi, Kazuki Nakada, Takashi Morie (Kyushu Inst. Tech.) NC2010-137		 Coupled MRF models have been proposed as visual processing models that realize coarse image region segmentation. These ... [more] NC2010-137
pp.59-64
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
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
NC, MBE
(Joint)		 2008-03-12
14:10		 Tokyo Tamagawa Univ Coarse image region segmentation using a region-based coupled MRF model and its CMOS circuit implementation
Yusuke Kawashima, Daisuke Atuti, Kazuki Nakada (Kyutech), Masato Okada (Univ. of Tokyo), Takashi Morie (Kyutech) NC2007-120		 Coupled Markov random field (MRF) models for coarse image region segmentation are classified into boundary and region ba... [more] NC2007-120
pp.49-54
 Results 1 - 4 of 4  /   
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