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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, CS 2024-03-14
15:10
Okinawa   [Special Invited Talk] Challenges and Future Direction in Message-Passing Demodulation
Keigo Takeuchi (TUT) CAS2023-121 CS2023-114
Message-passing demodulation is a promising method for demodulation in massive multiple-input multiple-output (MIMO) upl... [more] CAS2023-121 CS2023-114
pp.58-63
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
13:30
Hokkaido Hokkaido Univ. Characteristic analysis to improve the performance of graph-based methods in approximate nearest neighbor search
Tomohiro Kanaumi, Yusuke Matsui (Univ. Tokyo) ITS2023-52 IE2023-41
Approximate nearest neighbor search (ANNS) is the problem of finding the nearest vector to a given query vector in a dat... [more] ITS2023-52 IE2023-41
pp.34-39
MRIS, ITE-MMS 2023-06-08
14:20
Miyagi Tohoku Univ. (RIEC)
(Primary: On-site, Secondary: Online)
[Invited Talk] Computing in pursuit of energy efficiency -- From the perspective of non-volatile memory circuits using MTJ --
Kimiyoshi Usami (Shibaura IT) MRIS2023-3
From AlphaGo which defeated a professional human GO player up to automatic driving of cars and the very recent ChatGPT, ... [more] MRIS2023-3
pp.13-20
SIP 2022-08-25
16:30
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
[Invited Talk] Approximate Message Passing for Efficient Grant-Free Access
Takanori Hara (Tokyo Univ. of Science) SIP2022-59
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access has gained much attention.... [more] SIP2022-59
pp.50-55
RCS, SIP, IT 2022-01-21
11:45
Online Online Simultaneous matrix diagonalization using alternating least-squares algorithm
Shinya Saito, Kunio Oishi (Tokyo University of Tech.) IT2021-73 SIP2021-81 RCS2021-241
This paper presents an approach for overdetermined blind source separation (BSS) using AJD. The approach is constructed ... [more] IT2021-73 SIP2021-81 RCS2021-241
pp.252-257
IE 2021-01-21
13:25
Online Online [Invited Talk] High-Performance Computing for Image Processing
Norishige Fukushima (NITech) IE2020-35
As cameras become higher resolution, the demand for high-performance image processing continues to increase.
In this ... [more]
IE2020-35
p.7
SIP, IT, RCS 2021-01-21
14:40
Online Online [Invited Talk] Message passing algorithms for nonconvex penalties
Ayaka Sakata (ISM) IT2020-79 SIP2020-57 RCS2020-170
We consider compressed sensing formulated as a minimization problem of nonconvex sparse penalties, Smoothly Clipped Abso... [more] IT2020-79 SIP2020-57 RCS2020-170
pp.93-98
NLP, NC
(Joint)
2019-01-24
15:00
Hokkaido The Centennial Hall, Hokkaido Univ. A Genetic Algorithm-Based Method for Finding Approximate Solutions to Minimum Steiner Tree Problems
Li-Ping Zhang, Norikazu Takahashi (Okayama Univ.), Zong-Xiao Yang (HAUST) NLP2018-121
The Euclidean Steiner Tree Problem (ESTP) is a classical combinatorial optimization problem that appears in various fiel... [more] NLP2018-121
pp.131-136
SIP, IT, RCS 2018-01-23
13:10
Kagawa Sunport Hall Takamatsu [Invited Talk] A New Development in Message-Passing Demodulation: Expectation Propagation
Keigo Takeuchi (TUT) IT2017-97 SIP2017-105 RCS2017-311
Expectation propagation (EP) is reviewed as a new demodulation scheme based on message passing in massive multiple-input... [more] IT2017-97 SIP2017-105 RCS2017-311
pp.249-254
IBISML 2015-11-27
14:00
Ibaraki Epochal Tsukuba [Poster Presentation] Performance degradation of AMP for Ising perceptron when the system size is small
Arise Kuriya, Toshiyuki Tanaka (Kyoto Univ.) IBISML2015-85
Approximate Massage Passing (AMP) algorithm, proposed by Donoho et al., is derived from Belief Propagation (BP) algorith... [more] IBISML2015-85
pp.241-247
COMP 2014-12-05
15:25
Kumamoto Sojo University Homomorphism-Substitutable Context-free Languages and Learning Algorithm
Takayuki Kuriyama (Sokendai/ NII) COMP2014-38
We generalized the class of $k,l$-substitutable languages (Yoshinala, 2008). Each language in the generalized class is c... [more] COMP2014-38
pp.37-44
EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2012-07-20
14:20
Hokkaido   An Improved Algorithm for Approximate GCD Problems
Atsushi Takayasu, Noboru Kunihiro (UT) ISEC2012-35 SITE2012-31 ICSS2012-37 EMM2012-27
In this paper, we analyze multivariate approximate common divisor problem(ACDP), given approximate multiples of the inte... [more] ISEC2012-35 SITE2012-31 ICSS2012-37 EMM2012-27
pp.189-194
MBE 2011-07-09
10:00
Tokushima The University of Tokushima An Automatic Scheduling Method of Clinical Exercises
Hisashi Miyazaki, Isao Kayano, Osamu Hiramatsu (Kawasaki Univ), Sousuke Amasaki (Okayama Prefectural Univ) MBE2011-31
In this paper, we propose an automatic scheduling method of clinical exercises using tabu search that is one of the meta... [more] MBE2011-31
pp.59-63
VLD 2010-03-12
11:15
Okinawa   A Comparison of Two Approximate String Matching Algorithms Implemented on an FPGA
Keisuke Shimizu, Hiroki Nakahara, Tsutomu Sasao, Munehiro Matsuura (Kyushu Inst. of Tech.) VLD2009-123
An approximate string matching finds the most similar pattern in the text.
A dynamic programming is used for the approx... [more]
VLD2009-123
pp.145-150
PRMU 2009-03-14
13:15
Miyagi Tohoku Institute of Technology Approximate nearest neighbor search algorithm on HDD based on B+ tree.
Noritaka Himei, Toshikazu Wada (Wakayama Univ.) PRMU2008-273
Nearest Neighbor (NN) search plays important roles in example-based Computer Vision algorithms. Accelerating NN search i... [more] PRMU2008-273
pp.223-228
DE 2008-09-21
14:45
Fukushima   [Invited Talk] Approximate Queries on String Collections
Xiaochun Yang, Bin Wang (Northeastern Univ., China), Chen Li (UC Irvine) DE2008-31
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking... [more] DE2008-31
pp.3-4
NC 2007-03-14
09:30
Tokyo Tamagawa University On the Two Kullback Divergences in Approximating Bayesian Posterior Distributions
Kazuho Watanabe, Sumio Watanabe (Tokyo Inst. of Tech.)
Some methods have been proposed and used for approximating Bayesian learning.Although they have provided efficient learn... [more] NC2006-134
pp.97-102
 Results 1 - 17 of 17  /   
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