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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, MICT [detail] | 2021-11-05 12:45 |
Online | Online | [Invited Talk]
Iris Authentication using Higher-Order Spectral Features Keisuke Kameyama (Univ. Tsukuba)  MICT2021-35 MI2021-33 |
This report summarizes the works on the use of higher-order spectral (HOS) features for iris authentication. Initially, ... [more] | MICT2021-35 MI2021-33 pp.31-36 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
A Self-Organization Model Developing Higher Order Units by Self-Test Learning Akira Date, Shunsuke Hanai (Univ. of Miyazaki) IBISML2018-100 |
We have carried out computer simulation studies of a self-organizing network Geman-Davis model in which the number of un... [more] | IBISML2018-100 pp.419-424 |
| MBE, NC (Joint) |
2017-03-14 13:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of temporal change of astrocyte morphology under hypoxial adaptation using higher-order image features Tomohiro Nishino, Sosuke Tanaka, Masahiro Nitta, Takuma Sugashi, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2016-91 |
Astrocytes play an important role in controlling oxygen and nutrition from the blood to neurons. Although the shape of a... [more] | NC2016-91 pp.159-164 |
| MBE, BioX, NC | 2016-10-22 17:45 |
Osaka | Osaka Electro-Communication University | Iris Authentication using Local Spectral Features and their Relational Operations Miharu Aizawa, Keisuke Kameyama (Univ. Tsukuba) BioX2016-32 MBE2016-46 NC2016-31 |
Recently, methods of personal authentication using biometric features have been attracting attention. Daugman's pioneer... [more] | BioX2016-32 MBE2016-46 NC2016-31 pp.83-88 |
| SP, EA, SIP | 2013-05-16 11:20 |
Okayama | Human Sensing Technique Using Microwave Doppler Radar Based on Higher-order Local Autocorrelation Features Daisuke Okuya, Michiyo Hiramoto, Kurato Maeno (OKI) EA2013-3 SIP2013-3 SP2013-3 |
Conventionally, as for the feeling sensor of a person which detects the existence of the person in object area, it is co... [more] | EA2013-3 SIP2013-3 SP2013-3 pp.13-18 |
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| PRMU, HIP | 2012-12-13 15:15 |
Yamagata | Higher-Order Moment Orders and Performance in Texture Classification using Support Vector Machines Trung Nguyen Bao Phan, Keisuke Kameyama (Univ. of Tsukuba) PRMU2012-75 HIP2012-64 |
Conventionally, local moment functions (local autocorrelation functions) of orders up to 3 have been widely used as feat... [more] | PRMU2012-75 HIP2012-64 pp.31-36 |
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| MBE, NC (Joint) |
2012-03-16 13:45 |
Tokyo | Tamagawa University | Image Feature Extraction and Similarity Evaluation using Higher-Order Moment Kernels Keisuke Kameyama (Univ. of Tsukuba) NC2011-188 |
The Higher-Order Moment (HOM) kernel has been known to enable efficient utilization of higher-order moment (statistical)... [more] | NC2011-188 pp.393-398 |
| PRMU | 2007-12-14 11:00 |
Hyogo | Kobe Univ. | Ultra high speed image annotation/retrieval method by learning the conceptual relationship between images and labels Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi (Tokyo Univ.), Nobuyuki Otsu (AIST) PRMU2007-147 |
Content-based image recognition and retrieval are challenging problems which have wide application. In this paper, we ... [more] |
PRMU2007-147 pp.65-70 |
| PRMU, TL | 2006-02-24 10:45 |
Ibaraki | High Precision Gait Recognition Using Large Scale PC Cluster Satoshi Ito, Yuuki Horita, Kenji Kaneda, Takuya Nanri, Yasuyuki Shimohata, Kenjiro Taura, Mihoko Otake, Tomomasa Sato (Univ. of Tokyo), Nobuyuki Otsu (AIST) |
A good video surveillance system needs a high-precise gait recognition method. As such a method, a gait recognition meth... [more] | TL2005-82 PRMU2005-217 pp.91-96 |
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| PRMU, NLC | 2005-09-22 15:50 |
Tokyo | A Robust Recognition of Objects under Variable Illumination Conditions using Higher-order Local Auto-Correlation Takayoshi Shiraki (Univ. of Tokyo), Nobuyuki Otsu (AIST, Univ. of Tokyo) |
A change of illumination makes it difficult to recognize objects in the real world. Though many methods have tackled thi... [more] | NLC2005-46 PRMU2005-73 pp.59-63 |
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