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 |