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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2019-10-18
10:45
Tokyo   [Short Paper] An attribution-based pruning method for single object detection network
Rui Shi, Tianxing Li, Yasushi Yamaguchi (UTokyo) PRMU2019-34
Deep neural networks (DNNs) have achieved advanced results on different vision tasks. However, the cost of high computat... [more] PRMU2019-34
pp.17-20
IA 2009-10-30
09:20
Overseas Tsinghua University (Beijing) [Keynote Address] From CERNET to CNGI-CERNET2, then to the Future Internet
Xing Li (Tsinghua Univ.) IA2009-43
The Internet has been becoming an important infrastructure of network society. Recently, the research on future Internet... [more] IA2009-43
p.1
VLD, ICD 2008-03-07
11:10
Okinawa TiRuRu Design of High-rate Irregular LDPC Decoder based on Accelerated Message-passing Schedule
Yuta Abe, Naoki Tajima, Xing Li, Kazunori Shimizu, Takeshi Ikenaga, Satoshi Goto (Waseda Univ.) VLD2007-160 ICD2007-183
In this paper, We Design of High Throughput Multi-rate Irregular LDPC Decoder based on Accelerated Message-Passing Sched... [more] VLD2007-160 ICD2007-183
pp.25-30
ICD, VLD 2007-03-07
13:40
Okinawa Mielparque Okinawa Partially-parallel decoder based on high-efficiency message-passing schedule for irregular LDPC code
Xing Li, Kazunori Shimizu, Takeshi Ikenaga, Satoshi Goto (Waseda Univ.)
In this paper we propose an efficient Message-Passing schedule which is suitable for irregular LDPC decoder. For the dec... [more] VLD2006-108 ICD2006-199
pp.13-18
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