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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, SIP, MSS, VLD 2018-06-14
09:40
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) On an approximated polynomial function by a Deep Neural Network
Kazuya Ozawa, Toshihiro Tachibana, Hideo Nakano, Hideaki Okazaki (SIT) CAS2018-3 VLD2018-6 SIP2018-23 MSS2018-3
In order to approximate a bivariate polynomial function used in a bivariate fractal interpolation method , and to realiz... [more] CAS2018-3 VLD2018-6 SIP2018-23 MSS2018-3
pp.11-15
ICTSSL, CAS 2018-01-25
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. On a bivariate fractal interpolation surface with individual horizontal and vertical scaling factors
Kazuya Ozawa, Hiroyuki Yamada, Hideo Nakano, Hideaki Okazaki (SIT) CAS2017-116 ICTSSL2017-43
In this report, we consider a fundamental method to give an individual horizontal scaling factor for the former bivariat... [more] CAS2017-116 ICTSSL2017-43
pp.39-42
ICD, CPSY, CAS 2017-12-14
15:10
Okinawa Art Hotel Ishigakijima On the application of collage theorem
Kazuya Ozawa, Hideo Nakano, Hideaki Okazaki (SIT) CAS2017-81 ICD2017-69 CPSY2017-78
We discuss several constructive lemmas and theorems of Collage Theorem related to a Bivariate Fractal Interpo-
lation M... [more]
CAS2017-81 ICD2017-69 CPSY2017-78
p.91
NLP, CAS 2017-10-05
14:50
Niigata Machinaka Campus Nagaoka On several constructive lemmas of Collage Theorem related to a Bivariate Fractal Interpolation Method
Kazuya Ozawa, Hideo Nakano, Hideaki Okazaki (SIT) CAS2017-28 NLP2017-53
We discuss several constructive lemmas of collage theorem related to a bivariate fractal interpolation method. First we... [more] CAS2017-28 NLP2017-53
pp.23-28
CAS, ICTSSL 2017-01-27
15:15
Tokyo Kikai-Shinko-Kaikan Bldg. On an application of bivariate fractal interpolation surface and deep learning
Kazuya Ozawa, Hiroyuki Yamada, Hideo Nakano, Hideaki Okazaki (SIT) CAS2016-111 ICTSSL2016-65
We discuss and the deep learning method which can optimize the value of individual vertical scaling factor of fractal in... [more] CAS2016-111 ICTSSL2016-65
pp.165-166
CAS, NLP 2016-10-27
15:50
Tokyo   On an Analysis of Perspective Painting Images by using a Bivariate Fractal Interpolation Surface
Kazuya Ozawa, Hiroyuki Yamada, Hideo Nakano, Hideaki Okazaki (SIT) CAS2016-49 NLP2016-75
In this paper, a lemma and two theorems for a bivariate fractal interpolation surface (BFIS) generated by an iterated fu... [more] CAS2016-49 NLP2016-75
pp.61-64
CAS 2016-01-29
13:50
Tokyo Kikai-Shinko-Kaikan Bldg. A bivariate fractal interpolation surface, and its application
Shota Ueno, Hideo Nakano, Hideaki Okazaki (SIT) CAS2015-77
From the theory of iterated function system (IFS), the bivariate fractal interpolation surface (or BFIS) method is devel... [more] CAS2015-77
pp.89-94
ITE-ME, ITE-AIT, IE [detail] 2012-11-15
14:55
Kagoshima Kagoshima Univ. Fractal Super-Resolution Processing Using Lightness Variance of the Local Domain
Yuki Matsuda, Yue Bao (Tokyo City Univ.) IE2012-83
In recent years, due to higher resolution display, high definition image research has been actively carried out, the met... [more] IE2012-83
pp.7-12
 Results 1 - 8 of 8  /   
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