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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, CAS, MSS, VLD | 2017-06-20 11:00 |
Niigata | Niigata University, Ikarashi Campus | On Contributions of Principal Eigenfunctions of Covariance Operator of Kernel Feature Vectors to Relevant Information in Nonlinear Regression Masahiro Yukawa (Keio Univ.), Klaus-Robert Muller (TU BerlinTechnical U)  CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16 |
We study, through simple non-asymptotic arguments, the contributions of eigenfunctions of the covariance operator of ker... [more] | CAS2017-16 VLD2017-19 SIP2017-40 MSS2017-16 pp.81-85 |
| BioX, ITE-ME, ITE-IST [detail] | 2014-06-17 09:30 |
Ishikawa | Kanazawa University, Kakuma Campus | Attempts to improvement of ear recognition system using nonlinear algorithms Takanari Minamidani, Hideyasu Sai, Daishi Watabe (Saitama Inst. of Tech.) BioX2014-8 |
Effectiveness of ear shape in the biometric authentication is known and ear shape which has captured on security camera ... [more] | BioX2014-8 pp.39-41 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Kernel and Feature Search in Kernel PCA Alam Md. Ashad (SOKENDAI), Kenji Fukumizu (ISM) IBISML2011-49 |
During the last decade, unsupervised learning has become an important application area of the kernel methods. While the... [more] |
IBISML2011-49 pp.47-56 |
| NC | 2011-07-25 15:40 |
Hyogo | Graduate School of Engineering, Kobe University | An Incremental Learning Algorithm of Kernel Principal Component Analysis for Chunk Data Takaomi Tokumoto, Seiichi Ozawa (Kobe Univ) NC2011-29 |
In this paper, a new algorithm for Kernel Principal Component Analysis (KPCA) is proposed. We extended Takeuchi et al's... [more] |
NC2011-29 pp.49-54 |
| MI | 2011-01-20 11:30 |
Okinawa | Naha-Bunka-Tembusu | A study on statistical analysis methods for constructing a statistical shape model of pancreas Yuji Uchida, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2010-105 |
(To be available after the conference date) [more] | MI2010-105 pp.127-132 |
| MI | 2010-01-28 17:15 |
Okinawa | Naha-Bunka-Tenbusu | A study on statistical analysis methods for constructing a statistical shape model of pancreas Yuji Uchida, Akinobu Shimizu, Hidefumi Kobatake (Tokyo Univ. of Agr and Tech.), Shigeru Nawano (International Univ. of Health and Welfare), Kenji Shinozaki (National kyushu cancer center) MI2009-115 |
(To be available after the conference date) [more] | MI2009-115 pp.211-216 |
| SP, NLC | 2008-12-10 16:10 |
Tokyo | Waseda Univ. | Language Model Adaptation by Topic Model Based on Sequence of Words Atsushi Sako, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2008-66 SP2008-121 |
It is important to consider semantics for reductions of recognition errors unlike humans or understanding meanings and ... [more] |
NLC2008-66 SP2008-121 pp.249-254 |
| PRMU | 2007-12-13 15:30 |
Hyogo | Kobe Univ. | Linear and Nonlinear Hybrid Kernel Mutual Subspace method for Object Recognition Hitoshi Sakano (NTT Data) PRMU2007-143 |
We propose new member of mutual subspace method (MSM) family named linear and nonlinear hybrid kernel mutual subspace ... [more] |
PRMU2007-143 pp.43-46 |
| NLP | 2007-01-18 09:55 |
Kagawa | Texture classification with kernel methods with multiple correlation kernels and Kansei information Yo Horikawa (Kagawa Univ.), Yujiro Ohnishi (Ryobi Systems) |
The authors consider combining correlations of different orders in kernel principal component analysis (kPCA) kernel can... [more] | NLP2006-127 pp.5-10 |
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