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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| RECONF | 2014-09-18 13:00 |
Hiroshima | [Invited Talk]
Architecture Development for the Real-time Computer-Aided Diagnosis of Colorectal Endoscopic Images with NBI Magnification Tetsushi Koide (Hiroshima Univ.) RECONF2014-17 |
With the increase in patients of colorectal cancer in recent years, the requirement of the effective diagnostic support ... [more] | RECONF2014-17 pp.1-6 |
|
| 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 |
| PRMU | 2013-12-12 11:10 |
Mie | A study on the number of clusters approximating stroke density distribution in the evaluation of intrapersonal variations and interpersonal differences concerning handwritten shapes based on Earth Mover's Distance
-- A study on Japanese Hiragana handwritings -- Yoshinori Akao, Atsushi Yamamoto, Yoshiyasu Higashikawa (NRIPS) PRMU2013-72 |
In this paper, we studied on the number of clusters required for approximating stroke density distribution in the evalua... [more] | PRMU2013-72 pp.23-28 |
|
| 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 |
|
| PRMU | 2013-02-21 14:30 |
Osaka | Memory Efficient K-means Clustering Using HDD Hiroshi Oike, Kazuyoshi Kishi, Toshikazu Wada (Wakayama Univ.) PRMU2012-140 |
This report presents an “external” k-means clustering on HDD. K-means clustering is widely used for many applications. F... [more] | PRMU2012-140 pp.61-66 |
|
| 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 |
|
| 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 |
| 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 |
|
| 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 |
| RECONF | 2009-05-15 13:40 |
Fukui | Performance comparison of GPU and FPGA in image processing Shuichi Asano, Tsutomu Maruyama (Univ. of Tsukuba) RECONF2009-15 |
Many applications in image processing have high inherent parallelism. FPGAs have shown very high performance in spite of... [more] | RECONF2009-15 pp.85-90 |
|
| MI | 2009-01-19 16:35 |
Overseas | National Taiwan University | A novel hierarchical K-means clustering for white blood cells segmentation Kuo-Ching Liu (China Medical Univ.), Hsien-Chu Wu, Jen-Yun Shiu (National Taichung Inst.of Tech.) MI2008-74 |
This paper presents a hierarchical K-means clustering scheme for white blood cell (WBC) segmentation in blood cell image... [more] | MI2008-74 pp.69-74 |
| DE | 2007-07-03 16:15 |
Miyagi | Akiu hot springs (Sendai) | A Document Clustering Method Focusing on User Specified Time of Interest Sophoin Khy (Univ. of Tsukuba), Yoshiharu Ishikawa (Nagoya Univ.), Hiroyuki Kitagawa (Univ. of Tsukuba) DE2007-90 |
With the explosion of immense amount of electronic documents, intensive research to mine important information has accor... [more] | DE2007-90 pp.411-416 |
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