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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
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.)
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.)
 [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.)
 [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.)
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.)
(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.)
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)
 [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.)
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)
 [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)
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.)
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.)
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)
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)
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)
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)
 [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)
 [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)
 [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)
 [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)
 [more] PRMU2008-68 HIP2008-68
pp.135-140
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