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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2020-06-29
13:50
Online Online Performance comparison of autoencoders and sparse PCAs
Masumi Ishikawa (Kyutech) NC2020-4 IBISML2020-4
Principal component analysis (PCA) is an effective tool for clarifying data structure. Each principal component includes... [more] NC2020-4 IBISML2020-4
pp.21-26
NC, MBE
(Joint)
2020-03-06
10:45
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
QUBO formulation of l1-norm for Ising-type computers
Tomohiro Yokota (Saitama Univ.), Makiko Konoshima, Hirotaka Takamura (Fujitsu Labs), Jun Ohkubo (Saitama Univ./JST) NC2019-107
Recently, annealing hardware based on Ising-model, which includes quantum annealers, has attract many attentions. When w... [more] NC2019-107
pp.181-186
ITE-BCT, SIS 2019-10-25
10:50
Fukui Fukui International Activities Plaza A lossless predictive coding of floating-point data using L1-norm optimization
Syusuke Kohara, Shinji Fukuma, Shin-ichiro mori (Univ. FUKUI) SIS2019-20
(To be available after the conference date) [more] SIS2019-20
pp.73-76
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Three-dimensional directivity control based on circular harmonic modes using a circular loudspeaker array
Koya Sato, Yoichi Haneda (UEC) EA2016-119 SIP2016-174 SP2016-114
This paper describes a filter design method that enables three-dimensional (3-D) directivity control by using a circular... [more] EA2016-119 SIP2016-174 SP2016-114
pp.213-218
EMM, IT 2015-05-21
14:30
Kyoto Kyoto International Community House Generating Protected Eigenface Templates Using an Unitary Transformaion
Ibuki Nakamura (Tokyo Metropolitan Univ.), Yoshihide Tonomura (NTT), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2015-7 EMM2015-7
This paper considers a template protection scheme based on an unitary transformation, where the template consists of the... [more] IT2015-7 EMM2015-7
pp.35-40
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
18:10
Hokkaido Hokkaido University High quality recovery of nonsparse signals from compressed sensing
Aiko Nishiyama, Yuki Yamanaka, Akira Hirabayashi (Ritsumeikan Univ.), Kazushi Mimura (Hiroshima City Univ.) CAS2014-24 VLD2014-33 SIP2014-45 MSS2014-24 SIS2014-24
We propose a novel algorithm for the recovery of non-sparse, but compressible signals from linear undersampled measureme... [more] CAS2014-24 VLD2014-33 SIP2014-45 MSS2014-24 SIS2014-24
pp.123-127
SR, AN, USN, RCS
(Joint)
2012-10-18
16:50
Fukuoka Fukuoka univ. [Invited Talk] Applications of Compressed Sensing in Wireless Communication Systems
Doohwan Lee (Univ. of Tokyo) RCS2012-145 SR2012-65 AN2012-39 USN2012-42
Compressed sensing has been drawn explosive attention during last several years. It is a new framework that uses signal ... [more] RCS2012-145 SR2012-65 AN2012-39 USN2012-42
p.121(RCS), p.179(SR), p.91(AN), p.85(USN)
MI 2012-01-19
11:20
Okinawa   Compressed Sensing Combined with Resolution Enhancements in MR Phase-Scrambling Fourier Imaging Technique
Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2011-82
In recent years, compressed sensing (CS) has attracted considerable attention in areas of rapid MR imaging. Our group an... [more] MI2011-82
pp.29-34
SR 2011-01-27
13:00
Fukuoka Kyushu Institute of Technology Processing burden reduction of a large-scale data compression by employing averaged compressed sensing
Doohwan Lee, Takayuki Yamada, Hiroyuki Shiba, Yo Yamaguchi, Kazuhiro Uehara (NTT) SR2010-69
Compressed sensing has been drawn much attention during last few years as an eminent solution for ill-posed inverse prob... [more] SR2010-69
pp.1-6
AP 2010-04-09
13:50
Kyoto Doshisha Univ. 2-D DOA Estimation method for a Superimposed Modevector -- using L1-norm Regularized Minimization --
Shizuo Akiyama (Toshiba), Yasutaka Ogawa (Hokkaido Univ.) AP2010-6
Two dimensional DOA estimation method for superimposed coherent multipath using $\ell$1-norm regularized minimization is... [more] AP2010-6
pp.25-30
SR 2010-01-21
11:30
Tokyo Univ. of Electro-Communications Combined Nyquist and compressed sampling method for the wireless multiband receiver
Doohwan Lee, Takayuki Yamada, Hiroyuki Shiba, Yo Yamaguchi, Kazuhiro Uehara (NTT) SR2009-77
The recently developed compressed sensing theory enables signal recovery from incomplete information with high probabili... [more] SR2009-77
pp.21-26
ITE-ME, ITE-AIT, ITE-BCT, IE 2009-11-19
13:40
Fukuoka Kyushu Sangyo Univ. Fast Parallel Processing using GPU in PCA-L1
Nobuhiro Funatsu, Yoshimitsu Kuroki (Kurume Nat Coll. of Tech.) IE2009-100
In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2- PCA) is o... [more] IE2009-100
pp.13-17
CAS, CS, SIP 2009-03-03
13:10
Gifu Nagaragawa Convention Center [Poster Presentation] Sparse Signal Reconstruction from Interlaced Samples via l_1 Norm Minimization
Akira Hirabayashi, Kosuke Awaya (Yamaguchi Univ) CAS2008-136 SIP2008-199 CS2008-110
We propose a sparse signal reconstruction algorithm from interlaced samples with unknown offsets based on the $l_1$-norm... [more] CAS2008-136 SIP2008-199 CS2008-110
pp.197-200
 Results 1 - 13 of 13  /   
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