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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 59 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, CNR 2017-02-19
11:20
Hokkaido   [Poster Presentation] Identifying destinations of short messages via sparse representation of word vectors
Satoru Fukushima, Tomoya Sakai, Toru Kobayashi (Nagasaki Univ.) PRMU2016-184 CNR2016-51
 [more] PRMU2016-184 CNR2016-51
pp.165-166
IT, SIP, RCS 2017-01-20
13:05
Osaka Osaka City Univ. [Invited Lecture] Online algorithms of low-rank and sparse structure pursuit in practice
Tomoya Sakai (Nagasaki Univ.) IT2016-95 SIP2016-133 RCS2016-285
 [more] IT2016-95 SIP2016-133 RCS2016-285
pp.285-288
MI, MICT 2016-09-16
15:10
Tokyo Koganei Campus, Tokyo University of Agriculture and Technology Object Oriented Data Analysis for Volumetric Medical Data using Multiway Principal Component Analysis
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) MICT2016-43 MI2016-57
For object oriented data analysis of volumetric medical data, we introduce principal component analysis for the third or... [more] MICT2016-43 MI2016-57
pp.41-46
MI, MICT 2016-09-16
16:00
Tokyo Koganei Campus, Tokyo University of Agriculture and Technology Online low-rank and sparse decomposition of lung sound spectrogram for extraction of wheezes and rhonchi
Shunpei Shiwa, Tomoya Sakai, Toshikazu Fukumitsu, Ryo Kozu, Yuji Ishimatsu, Yasushi Obase, Hiroshi Mukae, Shota Nakashima (Nagasaki Univ.) MICT2016-45 MI2016-59
 [more] MICT2016-45 MI2016-59
pp.51-56
PRMU, BioX 2016-03-25
16:15
Tokyo   Tensor-Based Methods for Dimension Reduction of Volumetric Data
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) BioX2015-74 PRMU2015-197
Tensor-based methods enjoy linear reduction of hyper-volumetric data. In this paper, we deal with tensor-to-tensor proje... [more] BioX2015-74 PRMU2015-197
pp.197-202
SANE 2016-01-21
13:00
Nagasaki Nagasaki Prefectural Art Museum [Special Talk] On sensing and high-dimensional data analysis exploiting sparse structure
Tomoya Sakai (Nagasaki Univ.) SANE2015-85
 [more] SANE2015-85
pp.21-22
WIT, SP, ASJ-H, PRMU 2015-06-19
10:25
Niigata   Mathematical Properties of the Gradient-Based Discriminative Methods
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2015-50 SP2015-19 WIT2015-19
We reveal the mathematical properties of the histogram of oriented gradients method. The oriented gradients in local reg... [more] PRMU2015-50 SP2015-19 WIT2015-19
pp.107-111
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, MI, IE, SIP 2014-05-22
16:20
Aichi   Signal Processing for Lung-Sound Recognition -- Separation and Classification of Continuous and Discontinuous Adventitious Sounds --
Tomoya Sakai, Takahiro Uchida, Aeri Sakaguchi, Senya Kiyasu (Nagasaki Univ.), Sueharu Miyahara (formerly Nagasaki Univ.), Mikio Oka (Kawasaki Med. Sch.) SIP2014-11 IE2014-11 PRMU2014-11 MI2014-11
This paper presents signal separation techniques for pattern recognition of lung sounds. From a viewpoint of pattern rec... [more] SIP2014-11 IE2014-11 PRMU2014-11 MI2014-11
pp.55-60
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
MI 2013-01-25
09:15
Okinawa Bunka Tenbusu Kan Anatomical landmark-based local deformation method for medical registration
Keiko Morita, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.), Yoshitaka Masutani (Dept. of Radiology, The Univ. of Tokyo Hospital), Hidekata Hontani (Naitech) MI2012-93
In this paper, we develop a method for constructing the mean boundary curve of anatomical objects by using anatomical la... [more] MI2012-93
pp.161-166
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-23
17:40
Kyoto   Knowledge discovery and acquisition based on sparsity of pattern representation
Yuta Komatsu, Tomoya Sakai (Nagasaki Univ.) PRMU2012-97 MVE2012-62
 [more] PRMU2012-97 MVE2012-62
pp.151-155
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
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
14:45
Tokyo   NN-based Local Subspace Method for Image Registration with Sparse Dictionary
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-48 IBISML2012-31
In this paper, we develop an efficient algorithm for nearest-neighbour-search (NNS)-based global image registration. By ... [more] PRMU2012-48 IBISML2012-31
pp.179-184
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
15:30
Tokyo   Hierarchical Properties of Multi-resolutions of Optical Flow
Yusuke Kameda, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-46 IBISML2012-29
Most of the methods to compute optical flows are
variational-technique-based methods, which
assume that image functio... [more]
PRMU2012-46 IBISML2012-29
pp.149-155
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-03
16:00
Tokyo   The Properties of the Boundary Condition for Optical Flow Computation
Yusuke Kameda, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2012-47 IBISML2012-30
Most of the methods to compute optical flows are
variational-technique-based methods, which estimate appearance
velo... [more]
PRMU2012-47 IBISML2012-30
pp.157-162
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
IE, MVE 2012-03-13
12:10
Toyama Toyama University Show-Through Cancellation using Sparse Regularization and GPU Acceleration
Yoshimi Noguchi, Akihiro Takagi, Heitoh Zen (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) IE2011-160 MVE2011-122
This paper presents a sparse representation-based show-through cancellation technique, and reports massive speedups achi... [more] IE2011-160 MVE2011-122
pp.157-162
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