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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 52 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, CAS 2014-10-16
13:00
Ehime Ehime University Image Processing by Cellular Neural Networks with Updating Template by Using Reinforcement Learning
Kazushige Natsuno, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ) CAS2014-58 NLP2014-52
In this study,we proposed Cellular Neural Networks with Updating Template by Using Reinforcement Learning.Performance of... [more] CAS2014-58 NLP2014-52
pp.39-42
MI 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan High speed algorithm to calculate feature quantities of nuclei graph structures in hepatic histological images
Hideki Komagata, Naoki Kobayashi, Masahiro Ishikawa (Saitama Medical Univ.), Kazuma Shinoda (Utsunomiya Univ.), Masahiro Yamaguchi (Tokyo Inst. of Tech.), Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto (Keio Univ.) MI2013-100
Virtual slide technology has advanced studies in digital pathology which is to calculate the quantitative indices using ... [more] MI2013-100
pp.239-244
NLP 2011-11-09
15:30
Okinawa Miyako Island Marine Terminal An aproach to digital signal processing based on 2-dimensional cellular automata
Yuuta Tomono, Toshimichi Saito (Hosei Univ) NLP2011-103
This paper studies the noise reduction of image using 2 dimensional cellular automata (CA).
The noise reduction perform... [more]
NLP2011-103
pp.65-68
NLP 2011-07-01
14:10
Hokkaido Shari-cho Kohminkan: Yme-hall Shiretoko Image Processings of a Leaky Integrated-and-Fire Neuron by CNN
Shintaro Maezawa (Sophia Univ.), Hisashi Aomori (TUS), Mamoru Tanaka (Sophia Univ.) NLP2011-44
LIFN(Leaky Integrated-and-Fire Neuron) is one of the neural circuit models of human. LIFN is a kind of spiking neuron. I... [more] NLP2011-44
pp.113-118
NLP 2011-05-26
13:00
Kagawa Olive park olive memorial hall Cellular Neural Networks with Switching Two Types of Templates
Yoshihiro Kato, Yasuhiro Ueda, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2011-1
In this study, we propose Cellular Neural Networks with switching two types of templates. In the CNN, space varying syst... [more] NLP2011-1
pp.1-4
NC, MBE
(Joint)
2011-03-07
14:35
Tokyo Tamagawa University An Algorithm Generating Subjective Contours with Curvature for Pixel-Parallel Hardware Architecture
Yuichiro Yamaguchi, Takashi Morie (Kyushu Inst. Tech.) NC2010-138
The edge information of contours in natural images captured by an image sensor is often lacked due to poor contrast with... [more] NC2010-138
pp.65-70
NC, NLP 2011-01-25
11:45
Hokkaido Hokakido Univ. CNN Template Design that Obeyed BP Method from a Mathematical Point of View
Masashi Nakagawa, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2010-146 NC2010-110
In previous study, we have proposed template design method of cellular neural networks with back propagation algorithm.
... [more]
NLP2010-146 NC2010-110
pp.123-127
NLP 2010-12-13
13:25
Tottori Yonago Convention Center A Global Optimization Method on DT-CNN Using Chaotic Noise by CA
Tomohiro Fujita, Takeshi Ogura (Ritsumeikan Univ.) NLP2010-118
A global optimization with Discrete Time Cellular Neural Network (DT-CNN) is studied. To achieve a global optimization,... [more] NLP2010-118
pp.37-41
PRMU, FM 2010-12-10
14:20
Yamaguchi   [Special Talk] Will you start intracellular image processing?
Hideo Yokota (RIKEN) PRMU2010-145
Four-dimensional imaging of the living cell has become possible by the breakthrough of the living cell observation techn... [more] PRMU2010-145
p.105
NLP, CAS 2010-08-03
10:30
Tokushima Naruto University of Education Template Design of CNN by BP with Annealing Noise
Masashi Nakagawa, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) CAS2010-51 NLP2010-67
In previous study, we proposed template design method of cellular neural networks with back propagation algorithm.
In t... [more]
CAS2010-51 NLP2010-67
pp.93-98
NC, NLP, IPSJ-BIO [detail] 2010-06-18
16:00
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan Hierarchical Lossless Image Coding Using Cellular Neural Network
Seiya Takenouchi, Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) NLP2010-11 NC2010-11
In this paper, a hierarchical lossless image coding scheme using cellular neural network (CNN) is proposed. The coding a... [more] NLP2010-11 NC2010-11
pp.69-73
NLP 2010-03-09
08:30
Tokyo   Oversampling Sigma-Delta Cellular Neural Networks using MASH
Masatake Hirano (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sci.), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.) NLP2009-157
The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation
utilizin... [more]
NLP2009-157
pp.1-4
MI 2010-01-28
15:35
Okinawa Naha-Bunka-Tenbusu [Special Talk] Will you start intracellular image processing?
Hideo Yokota (RIKEN) MI2009-113
Four-dimensional imaging of the living cell has become possible by the breakthrough of the living cell observation techn... [more] MI2009-113
pp.203-204
NLP 2009-12-21
14:50
Iwate   Synthesis of Desired Space-time Patterns based-on Reinforce Learning
Yoshiaki Hachiya, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2009-134
Cellular automata (CA) is used for a image processing and a physical simulation. However, it is very difficlt for design... [more] NLP2009-134
pp.43-47
NLP 2009-12-21
15:15
Iwate   Annealing Method for Cellular Neural Networks
Takefumi Konishi (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sience), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Sience), Mamoru Tanaka (Sophia Univ.) NLP2009-135
In this paper, a novel lossless image coding method based on the lifting wavelet transform using discrete-time cellular ... [more] NLP2009-135
pp.49-52
MI 2009-09-16
16:45
Fukuoka Kyushu Institute of Technology Library Histopathologic Diagnosis Support System for Early Hepatocelular Carcinoma
Yasuaki Tanimoto, Masanobu Takahashi (Shibaura Inst. of Tech.), Masayuki Nakano (TYMC) MI2009-63
Histopathologic diagnosis is done by pathologists at their discretion, so the differential diagnosis of borderline lesio... [more] MI2009-63
pp.41-46
SIS 2009-06-11
10:55
Okinawa   Implementation of Data Embedding to Printing Images for Information Retrieving by Cellular Phones with a Camera
Takafumi Shono, Mitsuji Muneyasu, Yoshiko Hanada (Kansai Univ.) SIS2009-3
Recently, several data extraction methods from data embedding printing images by using cellular phones with a camera hav... [more] SIS2009-3
pp.13-18
NLP 2009-03-10
13:00
Kyoto   A Hardware Inplementable Model of Sigma-Delta Cellular Neural Network
Hisashi Aomori, Yuki Naito, Mamoru Tanaka (Sophia Univ.) NLP2008-155
The sigma-delta cellular neural network (SD-CNN) is a complete framework of a spatial domain sigma-delta modulator, and ... [more] NLP2008-155
pp.25-30
IE, ITS, ITE-HI, ITE-ME, ITE-AIT 2009-02-05
11:40
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ A Study on Image Processing for Action Assistance of Visually Impaired Humans Using a Camera Equipped Cellular Phone
Nanae Tanaka, Masashi Okudaira (Musashi Inst. of Tech.) ITS2008-64 IE2008-234
This paper proposes a guidance method of positions and directions of textured pavement blocks on a cellular phone.
Conc... [more]
ITS2008-64 IE2008-234
pp.173-176
NLP 2008-03-28
10:00
Hyogo   Applications of Cellular Neural Networks with Mixture Template
Takashi Inoue, Masaru Nakano, Yoshifumi Nishio (Tokushima Univ.) NLP2007-167
In this research, we propose cellular neural networks using mixture template
as an example of space-varying cellular n... [more]
NLP2007-167
pp.1-6
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