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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 47 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, TL [detail] 2015-06-05
12:45
Tokushima The University of Tokushima Categorization of Tweets Mentioning Books Based on Text Clustering
Shuntaro Yada, Kyo Kageura (UTokyo) TL2015-11 NLC2015-11
We classified tweets mentioning books by their pattern of mentioning, using K-means clustering method. This attempt deri... [more] TL2015-11 NLC2015-11
pp.61-66
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] The method of clustering data on polar codinates
Yuji Fujjiwara (INCT), Kazuhisa Fujita (INCT/UEC) IBISML2014-74
Clustering is used for various data analysis, for example, data mining, image processing and so on. Many methods of clus... [more] IBISML2014-74
pp.293-297
MBE, NC
(Joint)
2014-07-26
16:35
Okayama Okayama University Estimating the number of clusters for spherical clustering
Kazuhisa Fujita (Tsuyama NCT/ UEC) NC2014-20
Estimation of the number of clusters is an important issue on data clustering. The one of the major methods to estimate ... [more] NC2014-20
pp.21-26
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2013-12-06
15:35
Kyoto 60th Anniversary Hall, Kyoto Institute of Technology Play Estimation with Automatic Generation of Template Space-Time Map using K-means Algorithm
Takuro Fukiba, Kyota Aoki (Utsunomiya Univ.) CS2013-82 IE2013-93
This paper proposes the method to search the specific scenes from videos and experiment about the method. The method use... [more] CS2013-82 IE2013-93
pp.201-206
PRMU 2013-03-15
10:45
Tokyo   Performance Comparison of Appearance-based Pulmonary Nodule Detection from X-ray CT Images
Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) PRMU2012-212
In this paper, we propose appearance-based clustering methods of false positives in X-ray CT images based on K-means, Me... [more] PRMU2012-212
pp.193-197
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2013-02-19
13:20
Hokkaido Hokkaido Univ. Improvement of Play Estimation with Automatic Generation of Template Space-Time Map
Takuro Fukiba, Kyota Aoki (Utsunomiya Univ.) ITS2012-52 IE2012-132
This paper proposes the method to search the specific scenes from videos. The method uses motion compensation vector in... [more] ITS2012-52 IE2012-132
pp.305-310
US, EA
(Joint)
2013-01-24
11:00
Kyoto Kambaikan, Doshisha Univ. Low-Distortion Structure of Music Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization
Yusuke Iwao, Hiroshi Saruwatari, Noriyoshi Kamado, Kiyohiro Shikano (NAIST), Kazunobu Kondo, Yu Takahashi (Yamaha) EA2012-120
In this paper, we address a music signal separation problem with low-distortion structure method combining directional c... [more] EA2012-120
pp.7-12
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-24
15:15
Kyoto   Binarization and Recognition of Color Characters in Scene Images Using K-means Clustering via Automatic Selection of the Number of Clusters and Support Vector Machines
Kotaro Endo, Toru Wakahara (Hosei Univ.) PRMU2012-121 MVE2012-86
This paper proposes a new method for binalizing color characters in scene images using K-means clustering and support ve... [more] PRMU2012-121 MVE2012-86
pp.323-328
CAS, CS, SIP 2012-03-08
12:20
Niigata The University of Niigata Distributed Video Coding by applying Super Resolution with Learning-Based Kernel Regression
Ryotaro Nakamura, Shinobu Kudo (Keio Univ.), Takayuki Nakachi (NTT), Nozomu Hamada (Keio Univ.) CAS2011-111 SIP2011-131 CS2011-103
Distributed video coding (DVC) is a novel and interesting video coding scheme which utilizes inter-frame prediction at d... [more] CAS2011-111 SIP2011-131 CS2011-103
pp.25-30
EMM 2011-11-14
13:00
Miyagi   Prototyping and Evaluation of clustering system for crowd simulation
Ayumu Sato, Terumasa Aoki (Tohoku Univ) EMM2011-39
We have developed the path controlling system for crowd simulation. In this paper, we propose and compare three clusteri... [more] EMM2011-39
pp.1-4
ITE-ME, ITE-AIT, IE [detail] 2011-11-11
11:40
Fukuoka   Smart Dictionary for Learning-Based Super-Resolution
Akinobu Hashimoto, Tomohiro Nakaya, Nobutaka Kuroki, Tetsuya Hirose, Masahiro Numa (Kobe Univ.) IE2011-83
In this paper, a novel dictionary construction technique for example based super-resolution is proposed. Conventional te... [more] IE2011-83
pp.35-40
MI 2011-09-06
13:55
Ibaraki AIST Pulmonary Nodule Detection from X-ray CT Images Using Discriminant Filters and K-means Clustering
Takanobu Yanagihara, Hotaka Takizawa (Univ. of Tsukuba) MI2011-55
In this report, we propose a detection method of pulmonary nodules in X-ray CT images using discriminant filters and k-m... [more] MI2011-55
pp.41-46
NC, NLP 2011-01-26
11:20
Hokkaido Hokakido Univ. The exact reproduction in the voice signal of radial basis function network
Yuuki Naniwa, Takaaki Kondou, Kyohei Kamiyama, Hiroyuki Kamata (Meiji Univ) NLP2010-160 NC2010-124
(To be available after the conference date) [more] NLP2010-160 NC2010-124
pp.199-204
KBSE 2011-01-25
11:15
Tokyo Kikai-Shinko-Kaikan Bldg. Learning from Partially Supervised Data Stream Using Past Instances To Label Clusters
Tatsuya Kosaka (Kobe Univ.), Yoshiaki Yasumura (Shibaura It.), Kuniaki Uehara (Kobe Univ.) KBSE2010-41
This report presents a learning method for a partially supervised data stream that contains few labeled positive and unl... [more] KBSE2010-41
pp.37-42
PRMU, FM 2010-12-10
15:20
Yamaguchi   Comparison between Minimum Classification Error Training and Support Vector Machine in Prototype-based Classifier Design
Mamoru Adachi (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2010-146
In this paper, we experimentally compared the size of trained classifier class models (prototypes) between Support Vecto... [more] PRMU2010-146
pp.107-112
PRMU, FM 2010-12-10
15:50
Yamaguchi   Binarization of Color Character Strings in Scene Images Using K-means Clustering and Support Vector Machines
Kohei Kita, Toru Wakahara (Hosei Univ.) PRMU2010-147
This paper proposes a new technique for binalizing color character strings in scene images. The key ideas are as follows... [more] PRMU2010-147
pp.113-118
TL, NLC 2010-10-23
15:10
Tokyo Kikai-Shinko-Kaikan Bldg. Extraction of Verb Synonyms Using Graph-based Clustering
Koichi Takeuchi, Hideyuki Takahashi, Daisuke Kobayashi (Okayama Univ.) TL2010-32 NLC2010-11
This manuscript describes evaluation results of Kernel K-means
clustering approach comparing with modified Aizawa's co-... [more]
TL2010-32 NLC2010-11
pp.13-18
MI 2010-09-03
12:50
Saitama   [Poster Presentation] An Automatic Detection Method for Carotid Artery Calcification in Dental Panoramic Radiographs for Screening of Atherosclerosis -- A New Method Considering Intensity Gradients --
Yoshinori Izumi, Katsuyuki Shinjo, Mitsuji Muneyasu (Kansai Univ.), Akira Asano (Hiroshima Univ.), Akira Taguchi (Matsumoto Dental Univ.) MI2010-58
It has been reported that the carotid artery calcification is closely related to the progress of arteriosclerosis in eld... [more] MI2010-58
pp.43-48
EA 2010-06-11
10:15
Hokkaido Health Sci. Univ. of Hokkaido Automatic music thumbnailing using localization information of audio object
Hiroyuki Nawata, Noriyoshi Kamado, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST) EA2010-29
In this research,in order to automatically generate a thumbnail music that has a main part of the original music, we pro... [more] EA2010-29
pp.41-46
PRMU, HIP 2010-03-16
13:35
Kagoshima Kagoshima Univ. Feature Transformation Reflecting User's Relevance
Takahiro Takamiya, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi,Ltd.) PRMU2009-305 HIP2009-190
It is often pointed out by researchers working on similar image search that human and computer similarity measures are q... [more] PRMU2009-305 HIP2009-190
pp.425-430
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