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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-17
14:50
Nagasaki
(Primary: On-site, Secondary: Online)
Reformulation of Optimization Problem in Randomized NMF and Proposal of A Novel Iterative Update Algorithm
Takao Masuda, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2022-105 NLP2022-150
As an approach to efficiently perform large-scale Nonnegative Matrix Factorization (NMF), a randomized NMF was recently ... [more] MSS2022-105 NLP2022-150
pp.204-209
PRMU, CNR 2017-02-19
11:20
Hokkaido   [Poster Presentation] Online algorithm of swallowing detection using close-range depth sensor
Tsubasa Takai, Tomoya Sakai, Misako Higashijima (Nagasaki Univ) PRMU2016-183 CNR2016-50
We are developing an online algorithm of detecting and counting swallowing motions from a depth image sequence
for cont... [more]
PRMU2016-183 CNR2016-50
pp.163-164
PRMU, MI, IE, SIP 2015-05-15
10:30
Mie   Solving inverse problem by learning high-dimensional nonlinear mapping
Daisuke Miyata, Tomoya Sakai (Nagasaki Univ.) SIP2015-20 IE2015-20 PRMU2015-20 MI2015-20
(To be available after the conference date) [more] SIP2015-20 IE2015-20 PRMU2015-20 MI2015-20
pp.105-109
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-23
17:00
Osaka   3D Global Image Registration Using Local Linear Property in Sparse Dictionary
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2013-102 MVE2013-43
In this paper, we propose a 3D global image registration of using a sparse dictionary. For global image
registration, t... [more]
PRMU2013-102 MVE2013-43
pp.125-130
PRMU 2013-12-13
09:30
Mie   Explicit Local Linear Method for 2D Affine Image Registration
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2013-82
We introduce a local linear method using local linear property of affine transformed images for global
image registrati... [more]
PRMU2013-82
pp.85-90
PRMU 2013-03-14
09:00
Tokyo   Validation of Dimension Reduction Methods for Two-Dimensional Image Pattern Classification
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-183
In this paper, we experimentally evaluate the validity of
topology-preserving dimension-reduction methods for image pa... [more]
PRMU2012-183
pp.19-24
PRMU, HIP 2012-12-13
14:45
Yamagata   Effects of dimension reduction on appearance-based pattern classification
Hayato Itoh (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Atsushi Imiya (Chiba Univ.) PRMU2012-74 HIP2012-63
In this paper, we experimentally evaluate the validities of dimension reduction for image pattern recognition. Biometric... [more] PRMU2012-74 HIP2012-63
pp.25-30
MI 2012-07-20
14:40
Yamagata Yamagata Univ. An Efficient Volumetric Global Image Registration
Shuang Lu (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Atsushi Imiya (Chiba Univ.) MI2012-36
In this paper, we develop a fast algorithm for
random-projection-based global registration.
By generating many trans... [more]
MI2012-36
pp.79-84
MI 2011-11-29
11:05
Hyogo Univ. Hyogo (Portisland C.) Efficient Global Image Registration using Local Linearity of Transformed Image
Hayato Itoh, Shuang Lu (Chiba Univ), Tomoya Sakai (Nagasaki Univ), Atsushi Imiya (Chiba Univ) MI2011-68
We develop an efficient method of dictionary-based global image registration. In the present method, affine-transformed ... [more] MI2011-68
pp.31-36
PRMU 2009-12-18
09:35
Tochigi Fujihara Cultural Center Compressed Pattern Recognition -- A Framework of Pattern Measurement and Analysis Exploiting Sparsity --
Tomoya Sakai (Chiba Univ.) PRMU2009-145
This paper advocates integrating technologies of measurement, compression, encryption, and analysis of patterns into a c... [more] PRMU2009-145
pp.43-48
SP 2009-07-17
13:00
Fukushima   Random-Projection-Based Feature Transformation
Mariko Yoshii, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Jeff Bilmes (Univ. of Washington.) SP2009-41
This paper proposes a novel feature transformation method for speech recognition based on random projection. Random proj... [more] SP2009-41
pp.1-6
COMP 2005-10-18
11:00
Miyagi Tohoku Univ. Margin Preserving Projection with Limited Randomness and Embedding to Boolean Space
Tatsuya Watanabe, Eiji Takimoto, Kazuyuki Amano, Akira Maruoka (Tohoku Univ.)
Learning large margin classifiers is one of the most important problems in machine learning.
However, it is hard to fin... [more]
COMP2005-39
pp.21-28
 Results 1 - 12 of 12  /   
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