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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP
(Joint)		 2017-01-27
13:25		 Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. A study on multilayered neural network with simultaneous perturbation learning rule
Kenji Onoue, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ) NC2016-58		 This paper describes a study on multilayered neural network with simultaneous perturbation learning rule.
The learning ... [more]		 NC2016-58
pp.59-64
SIP 2015-08-19
14:25		 Tokyo National Institute of informatics A Study on Online Secondary Path Modeling ANC System Using Simultaneous Perturbation Method
Takahiro Shimizu, Yoshinobu Kajikawa (Kansai Univ.) SIP2015-52		 In this paper, we propose an online secondary path modeling ANC system using simultaneous perturbation method. This syst... [more] SIP2015-52
pp.7-12
NC, IPSJ-BIO 2012-06-28
13:00		 Okinawa OIST, Okinawa Estimating the Clothes Characteristics with the Image and Depth Sensors for Developing Virtual Fitting Room
Yuka Matsuba, Hiroyuki Funaya, Akihiro Nakamura, Kazushi Ikeda (NAIST) NC2012-7		 Virtual fitting rooms show customers how they would appear if they wore clothes using the clothes data and general body ... [more] NC2012-7
pp.37-41
IBISML 2010-11-05
15:30		 Tokyo IIS, Univ. of Tokyo [Poster Presentation] Statistical Mechanics of Adaptive Weight Perturbation Learning
Ryousuke Miyoshi, Yutaka Maeda, Seiji Miyoshi (Kansai Univ.) IBISML2010-92		 The weight perturbation learning was proposed as a learning rule which adds perturbation to the variable parameters of ... [more] IBISML2010-92
pp.245-250
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