| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CS | 2023-07-28 14:50 |
Tokyo | Hachijo-machi Chamber of Commerce and Industry | Improving position estimation accuracy method by reducing RSSI fluctuations in BLE fingerprinting-based indoor positioning Jingshi Qian, Nobuyoshi Komuro (Chiba Univ.)  CS2023-58 |
The complex indoor environment will reflect and absorb the RSSI (Received Signal Strength Indicator) from the sensor. Be... [more] | CS2023-58 pp.163-168 |
| MBE, NC (Joint) |
2017-05-26 13:50 |
Toyama | Toyama Prefectural Univ. | A Parallel Forward-Backward Propagation Learning Rule for Auto-Encoder Yoshihiro Ohama, Takayoshi Yoshimura (Toyota CRDL) NC2017-3 |
Auto-encoder is known as a hourglass neural network for acquiring essential representations from multi-dimensional data ... [more] | NC2017-3 pp.13-18 |
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2014-08-01 09:55 |
Chiba | Study of Portrait Similarities in the Automatic System that Generates Portraits from Facial Images Wu Yuzhen, Makoto Enomoto, Jun Ohya (Waseda Univ) IE2014-22 |
This paper studies an automatic method that generates portraits by utilizing a neural network trained by facial features... [more] | IE2014-22 pp.1-6 |
|
| NC, MBE (Joint) |
2014-03-17 16:20 |
Tokyo | Tamagawa University | A method to improve the performance of auto-associative memory for face recognition Hiroshi Kage (Mitsubishi Electric) NC2013-101 |
The recent increase of surveillance cameras installed in public spaces is evoking a strong demand for face recognition s... [more] | NC2013-101 pp.75-80 |
| NC, NLP | 2013-01-24 12:50 |
Hokkaido | Hokkaido University Centennial Memory Hall | Study of qusai-Newton training algorithm on parallel distributed environment Makoto Saiki, Yoshihiko Sakashita, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2012-111 NC2012-101 |
This paper describes the feasibility of quasi-Newton method for training feedforward neural networks on the parallel dis... [more] | NLP2012-111 NC2012-101 pp.43-48 |
| NC, MBE (Joint) |
2011-12-20 16:10 |
Aichi | Nagoya Institute of Technology | Estimation of the neural circuit for the command generation in an insect brain Ikuko Nishikawa, Takayuki Onojima (Ritsumeikan Univ.), Tomoki Kazawa, Shigehiro Namiki (Univ. Tokyo), Hidetoshi Ikeno (Univ. Hyodo), Ryohei Kanzaki (Univ. Tokyo) NC2011-95 |
We report an approach to estimate the functional connection from the possible anatomical connections and physiological r... [more] | NC2011-95 pp.65-68 |
| OCS | 2011-07-12 15:50 |
Osaka | Osaka Univ. Nakanoshima Center | Frequency Division Multiplexing 64 QAM-OFDM (420Gb /s) transmission over 160 km Tatsunori Omiya, Kazushi Toyoda, Keisuke Kasai, Masato Yoshida, Masataka Nakazawa (Tohoku Univ.) OCS2011-43 |
We have demonstrated 64QAM-OFDM coherent optical transmission with a C2H2 frequency-stabilized fiber laser and an optica... [more] | OCS2011-43 pp.93-98 |
| NC, MBE (Joint) |
2011-03-08 15:00 |
Tokyo | Tamagawa University | Generalization characteristics of complex-valued neural networks in dealing with wave-related data Akira Hirose, Shotaro Yoshida (Univ. Tokyo) NC2010-179 |
(To be available after the conference date) [more] | NC2010-179 pp.307-312 |
| NC | 2008-10-23 09:50 |
Miyagi | Tohoku Univ. | Effects of Refractoriness of Chaotic Neurodynamics for Acceleration of Learning of A Pattern Sequence Detector Susumu Nagatoishi, Osamu Araki (TUS) NC2008-38 |
The primary purpose of this study is to reveal the effects of refractoriness on learning. More specifically, we simulate... [more] | NC2008-38 pp.13-18 |
| NC | 2007-03-16 10:10 |
Tokyo | Tamagawa University | Learning nonlinear forward optics in generative models Satohiro Tajima, Masataka Watanabe (Tokyo Univ.) |
Visual processing is an inverse problem, say, the system needs to unravel the three dimensional representation of the wo... [more] | NC2006-188 pp.11-16 |
[Return to Top Page]