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Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
16:30
Okinawa
(Primary: On-site, Secondary: Online)
Low-bit Image Restoration with Loop-unrolled ISTA
Shu Abe, Soushi Takahashi, Shogo Muramatsu (Niigata Univ) EA2022-125 SIP2022-169 SP2022-89
This study proposes a low-bit image restoration method based on a loop-unrolled network of Iterative Shrinkage Threshold... [more] EA2022-125 SIP2022-169 SP2022-89
pp.288-293
SANE 2018-11-08
16:10
Overseas China (Xuchang) A time of arrival estimation method combining matched filter and IHT Compressed Sensing for target point identification
Seiya Tamura, Guanghao Sun, Tetsuo Kirimoto (UEC) SANE2018-62
Compressed sensing (CS) is a promising signal processing method for time of arrival estimation in high resolution via so... [more] SANE2018-62
pp.35-38
MBE, NC
(Joint)
2018-03-14
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization
Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO) NC2017-91
Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] NC2017-91
pp.139-144
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2016-07-06
14:55
Okinawa Okinawa Institute of Science and Technology Classification analysis of high-dimensional data based on L0-norm optimization.
Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) NC2016-14
Advances in sensing devices allow us to measure high-dimensional data easily, but the sample size is often limited becau... [more] NC2016-14
pp.223-228
 Results 1 - 4 of 4  /   
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