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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, IPSJ-AVM, CS, ITE-BCT | 2007-12-13 16:35 |
Aichi | Nagoya Univ. | A Study on Numerical Computation of Pseudo TV-norm and its Application to Image Segmentation Kei Kawamura, Daisuke Ishii, Hiroshi Watanabe (Waseda Univ.) |
An image decomposition problem using a Total Variation norm is the object of this paper. In a conventional method, this ... [more] | CS2007-39 IE2007-122 pp.57-62 |
| AP | 2007-01-25 10:25 |
Fukui | Fukui Univ. | Application of the Barzilai-Borwein steepest descent method to the reconstruction of a dielectric cylinder from multifrequency scattering data Shingo Izumi, Takato Kudou (Oita Univ.)  AP2006-111 |
We have developed the reconstruction method based on the Barzilai-Borwein steepest descent method for the 2D inverse sca... [more] | AP2006-111 pp.7-12 |
| OPE, LQE, OCS | 2006-10-12 16:15 |
Fukuoka | Kyusyu Univ. Chikushi Campus | Dispersion Range and Required Time in Steepest Descent Method Based Adaptive Control of Tunable Dispersion Compensator Ken Tanizawa, Akira Hirose (Univ. of Tokyo) OCS2006-45 OPE2006-98 LQE2006-87 |
We propose and demonstrate a high speed and low cost adaptive feedback control technique of a tunable dispersion compens... [more] | OCS2006-45 OPE2006-98 LQE2006-87 pp.39-44 |
| OFT, OCS (Joint) |
2005-08-26 11:20 |
Akita | Akita Univ. | Adaptive Dispersion Compensation to Minimize Time Domain Waveform Error by Using Gradient Method Ken Tanizawa, Akira Hirose (Univ. of Tokyo) |
In present optical communications, chromatic dispersion is one of the primary factors which set upper limits on transmis... [more] | OCS2005-40 pp.29-34 |
| NLP, CAS | 2004-09-14 10:50 |
Kyoto | Kyoto Univ. | A study of the learning algorithm based on homotopy method for feedforward neural networks Chikahiro Tomita (Shizuoka Univ.), Masahiro Yoshida (SHARP), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.) |
Many kinds of gradient methods have been applied for learning of the feedforward neural networks in order to improve the... [more] | CAS2004-32 NLP2004-44 pp.25-29 |
| AP | 2004-06-17 14:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg | A Proposal for a GA-Based Optimization Method with a Combination of the Decent Method and its Application to the Design of Yagi-Uda Array Antennas Akira Kato, Koichi Ogawa (Matsushita Electric Industrial) |
The Genetic Algorithm(GA) is a method for solving optimization problems. Since the GA searches the optimal solution in l... [more] | AP2004-39 pp.19-24 |
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