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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Computation of optical flow sequences with linear dependence and locality Hiroki Kuhara, Tomoya Sakai (Nagasaki Univ.)  PRMU2016-182 CNR2016-49 |
[more] | PRMU2016-182 CNR2016-49 pp.161-162 |
|
| 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, 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 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data Tomoya Sakai, Marthinus Christoffel du Plessis, Gang Niu (UTokyo), Masashi Sugiyama (RIKEN/UTokyo) IBISML2016-80 |
Most of the semi-supervised learning methods developed so far use unlabeled data for regularization purposes under parti... [more] | IBISML2016-80 pp.243-250 |
| 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 |
|
| IBISML | 2016-03-17 13:50 |
Tokyo | Institute of Statistical Mathematics | Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds Mina Ashizawa (UTokyo), Hiroaki Sasaki (NAIST), Tomoya Sakai, Masashi Sugiyama (UTokyo) IBISML2015-96 |
[more] | IBISML2015-96 pp.17-24 |
| 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 09:30 |
Mie | Second-Order Tensor Principal Component Analysis Meets Two-Dimensional Singular Value Decomposition Hayato Itoh, Atsushi Imiya, Tomoya Sakai (Chiba Univ.) SIP2015-14 IE2015-14 PRMU2015-14 MI2015-14 |
We show that the second-order tensor principal component analysis is theoretically equivalent to the two-dimensional sin... [more] | SIP2015-14 IE2015-14 PRMU2015-14 MI2015-14 pp.71-75 |
|
| 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 |
|
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Computationally Efficient Estimation of Squared-loss Mutual Information with Multiplicative Kernel Models Tomoya Sakai, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-53 |
emph{Squared-loss mutual information} (SMI) is a robust measure of statistical dependence between random variables. The... [more] |
IBISML2013-53 pp.131-137 |
| 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 |
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