Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, CNR |
2018-02-20 10:45 |
Wakayama |
|
Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using CNN for Regression on Class Probability Kojiro Tanaka, Bisser Raytchev, Takio Kurita, Toru Tamaki, Kazufumi Kaneda (Hiroshima Univ.) PRMU2017-164 CNR2017-42 |
Induced pluripotent stem(iPS) cells, which have the ability to differentiate into any other cell type in the body, are a... [more] |
PRMU2017-164 CNR2017-42 pp.109-114 |
PRMU, BioX |
2017-03-20 16:45 |
Aichi |
|
Glaph laplacian regulalizer based on the label co-occurrence dependency for multi-label image annotation Keiichi Kurosawa, Mojoo Jonathan, Takio Kurita (Hiroshima Univ.) BioX2016-52 PRMU2016-215 |
[more] |
BioX2016-52 PRMU2016-215 pp.117-122 |
PRMU, BioX |
2017-03-20 17:10 |
Aichi |
|
Analysis of sparse regularization for ReLU activation function in CNN Hidenori Ide, Takio Kurita (Hiroshima Univ.) BioX2016-53 PRMU2016-216 |
[more] |
BioX2016-53 PRMU2016-216 pp.123-128 |
PRMU, BioX |
2017-03-21 16:50 |
Aichi |
|
On Data Extension For Signal Data Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) BioX2016-73 PRMU2016-236 |
Efficient learning using limited data in machine learning is also important now even in the era of big data. In the case... [more] |
BioX2016-73 PRMU2016-236 pp.237-242 |
MI |
2017-01-18 14:15 |
Okinawa |
Tenbusu Naha |
Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (JR Hiroshima Hospital), Shinji Tanaka (Hiroshima Univ.) MI2016-108 |
(To be available after the conference date) [more] |
MI2016-108 pp.139-144 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
Musical Instrument Sound Classification through CNN with Wavelet Analysis Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) IBISML2016-51 |
In music information processing, the instrument sounds analysis using a computer is an important research theme to analy... [more] |
IBISML2016-51 pp.45-49 |
MI |
2016-01-20 13:05 |
Okinawa |
Bunka Tenbusu Kan |
[Poster Presentation]
Transfer Learning for Endoscopic Image Classification Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide (HU), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital of West Japan Railway Company), Shinji Tanaka (Hiroshima University Hospital) MI2015-119 |
[more] |
MI2015-119 pp.223-227 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2013-09-03 10:30 |
Tottori |
|
A specific object recognition method based on mixtures of probabilistic principal component analyzers Takashi Takahashi (Ryukoku Univ.), Takio Kurita (Hiroshima Univ.) PRMU2013-47 IBISML2013-27 |
We investigate a method of specific object recognition that utilizes image feature representation extracted from the dis... [more] |
PRMU2013-47 IBISML2013-27 pp.161-166 |
PRMU, MI, IE |
2012-05-17 16:45 |
Aichi |
|
Self-training with unlabeled regions and its application to recognition of colorectal NBI endoscopic images Takahishi Takeda, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Takio Kurita, Shigeto Yoshida, Yoshito Takemura, Keichi Onji, Rie Miyaki, Shinji Tanaka (Hiroshima Univ) IE2012-26 PRMU2012-11 MI2012-11 |
[more] |
IE2012-26 PRMU2012-11 MI2012-11 pp.57-62 |
PRMU |
2011-03-10 13:20 |
Ibaraki |
|
[Special Talk]
Optimization in Pattern Classifier Design Takio Kurita (Hiroshima Univ.), Kenji Nishida (AIST), Akinori Hidaka (Tokyo Denki Univ.), Tetsu Matsukawa (Univ. of Tsukuba) PRMU2010-251 |
To design a pattern classifier which works effectively in real world applications, we have to decide the model of the cl... [more] |
PRMU2010-251 pp.85-90 |
IBISML, PRMU, IPSJ-CVIM [detail] |
2010-09-06 13:40 |
Fukuoka |
Fukuoka Univ. |
[Fellow Memorial Lecture]
- Takio Kurita (Hiroshima Univ.) PRMU2010-84 IBISML2010-56 |
Linear Discriminant Analysis (LDA) is one of the well known methods to extract good features for classification. Otsu de... [more] |
PRMU2010-84 IBISML2010-56 pp.209-214 |
SP |
2010-06-18 13:00 |
Fukuoka |
Kyushu University |
[Tutorial Invited Lecture]
Pattern Recognition and Machine Learning Takio Kurita (Hiroshima Univ.) SP2010-32 |
Recent rapid progress of computer and internet, a huge amount of information is accumulated. It is potentially important... [more] |
SP2010-32 pp.61-66 |
PRMU, HIP |
2010-03-16 10:25 |
Kagoshima |
Kagoshima Univ. |
Action recognition using cubic cross-correlations features of local motion attributes Tetsu Matsukawa (Univ. of Tsukuba), Takio Kurita (Univ. of Tsukuba/AIST) PRMU2009-285 HIP2009-170 |
This paper proposes a spatio-temporal feature using three-way cross-correlations of local motion attributes for action r... [more] |
PRMU2009-285 HIP2009-170 pp.305-310 |
PRMU |
2010-02-19 13:15 |
Tokyo |
Tokyo Univ. of Agriculture and Technology |
Scene classification using higher order cross-correlations features of local posterior probabilities Tetsu Matsukawa (Univ. of Tsukuba), Takio Kurita (Univ. of Tsukuba/AIST) PRMU2009-227 |
This paper presents scene classification methods using higher order cross-correlations features of local posterior proba... [more] |
PRMU2009-227 pp.117-122 |
PRMU |
2009-12-18 15:10 |
Tochigi |
Fujihara Cultural Center |
Discriminative Pixel-Pair Feature Selection for Tracking Kenji Nishida, Takio Kurita (AIST), Masakatsu Higashikubo (SEI) PRMU2009-152 |
A novel visual tracking algorithm is proposed in this paper. The algorithm
plays an important role in a cooperative dri... [more] |
PRMU2009-152 pp.77-82 |
PRMU |
2009-11-27 11:40 |
Ishikawa |
Ishikawa Industrial Promotion Center |
Selection of binary classifiers for multi-class classification problems Yoshito Murayama, Tetsu Matsukawa (Univ. of Tsukuba.), Takio Kurita (AIST) PRMU2009-121 |
[more] |
PRMU2009-121 pp.195-200 |
PRMU |
2009-03-13 09:00 |
Miyagi |
Tohoku Institute of Technology |
Spectators' State Classification Using Histograms of Facial Expression and Face Direction Tetsu Matsukawa, Akinori Hidaka (Univ. Of Tsukuba), Takio Kurita (Univ. Of Tsukuba/AIST) PRMU2008-240 |
[more] |
PRMU2008-240 pp.1-6 |
PRMU |
2009-03-13 09:30 |
Miyagi |
Tohoku Institute of Technology |
Bag-of-features car detection based on selected local features using Support Vector Machine Koji Suzuki, Tetsu Matsukawa (Univ. of Tsukuba), Takio Kurita (AIST) PRMU2008-241 |
[more] |
PRMU2008-241 pp.7-12 |
PRMU, HIP |
2008-09-06 09:30 |
Kanagawa |
Keio Univ. |
Weight Optimization of Adaboost unig Support Vector Machine Tetsu Matsukawa (Univ. Of Tsukuba), Takio Kurita (AIST) PRMU2008-66 HIP2008-66 |
[more] |
PRMU2008-66 HIP2008-66 pp.121-126 |
PRMU, HIP |
2008-09-06 10:30 |
Kanagawa |
Keio Univ. |
Non-Neighboring Rectangular Features for Object Detection Akinori Hidaka (Univ. of Tsukuba/AIST), Takio Kurita (AIST/Univ. of Tsukuba) PRMU2008-68 HIP2008-68 |
[more] |
PRMU2008-68 HIP2008-68 pp.135-140 |