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 |