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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MVE, IMQ, IE, CQ
(Joint) [detail]		 2021-03-01
13:50		 Online Online Image Compression based on Deep Learning with Visual Spatial Frequency Characteristics
Naoki Tada (Chiba Univ.), Tatsuki Adaniya (ADAWARP JAPAN Inc.), Keita Hirai (Chiba Univ.) IMQ2020-13 IE2020-53 MVE2020-45		 (To be available after the conference date) [more] IMQ2020-13 IE2020-53 MVE2020-45
pp.17-18
IMQ 2019-12-20
16:20		 Tokyo   A Preliminary Study on BTF Image Database Generation using Deep Learning
Naoki Tada, Keita Hirai (Chiba Univ.) IMQ2019-10		 A method using Bidirectional Texture Function (BTF) is one of the methods to reproduce a realistic image in Computer Gra... [more] IMQ2019-10
pp.3-8
NC, NLP
(Joint)		 2017-01-26
10:20		 Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. Analysis of cellular automata based on feature quantities
Naoki Tada, Toshimichi Saito (HU) NLP2016-99		 This paper studies steady state dynamics of cellular automata (CA):
digital dynamical systems in which time, space and ... [more]		 NLP2016-99
pp.13-17
NLP, CAS 2015-10-05
10:30		 Hiroshima Aster Plaza Feature quantities of basic mixed-rule cellular automata
Naoki Tada, Toshimichi Saito (HU) CAS2015-22 NLP2015-83		 This paper studies basic dynamics of mixed-rule cellular automata (MCA):
digital dynamical systems in which time, space... [more]		 CAS2015-22 NLP2015-83
pp.11-14
NLP 2015-05-18
14:55		 Aomori Yu-sa Asamushi Analysis of basic mixed-rule cellular automata
Naoki Tada, Toshimichi Saito (HU) NLP2015-30		 This paper studies basic dynamics of mixed rules with cellular automata:
a digital dynamical systems of discrete time a... [more]		 NLP2015-30
pp.17-21
 Results 1 - 5 of 5  /   
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