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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 35 of 35 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE 2010-03-15
17:20
Miyagi RIEC Bldg. #2, 4gh Floor, Tohoku Univ. Lossless Re-encoding of MPEG-1 Video with Quarter-Pel Motion Compensation
Kei Wakabayashi, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Sei Naito, Shigeyuki Sakazawa (KDDI R&D Lab.) IE2009-196
We are developing an efficient lossless re-encoding scheme for video data which are already encoded by the MPEG-1 video ... [more] IE2009-196
pp.97-102
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
NLP 2010-03-10
08:45
Tokyo   Local Dynamics Effect by Rotation Map in Area Intensity Quantization in CNN
Masatoshi Kataoka, Ryo Sekiyama, Tomoko Keino (Sophia Univ.), Hisashi Aomori (Tokyo university of sci.), Mamoru Tanaka (Sophia Univ.) NLP2009-169
 [more] NLP2009-169
pp.65-68
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
NLP 2009-11-14
14:45
Kagoshima   Effect of Piecewise Linear Function on Maximum-Flow Neural Network
Masatoshi Sato (Sophia Univ), Hisashi Aomori (Tokyo Univ. of Science), Mamoru Tanaka (Sophia Univ) NLP2009-124
In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible... [more] NLP2009-124
pp.237-242
NLP 2009-11-14
15:05
Kagoshima   Oversampling Sigma-Delta Cellular Neural Networks
Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Mamoru Tanaka (Sophia Univ.) NLP2009-125
 [more] NLP2009-125
pp.243-248
NLP 2009-08-04
09:50
Kochi   Sigma-Delta CNN Considering Local Structure of Image
Hisashi Aomori (Tokyo University of Sci), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Ichiro Matsuda, Susumu Itoh (Tokyo University of Sci), Mamoru Tanaka (Sophia Univ.) NLP2009-52
 [more] NLP2009-52
pp.43-47
MVE, IE 2009-07-23
15:30
Shimane Matsue Terrsa Lossless Re-encoding of MPEG-1 Video Using Arithmetic Codes
Yu Ikeda, Kei Wakabayashi, Hisashi Aomori, Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science), Sei Naito, Shigeyuki Sakazawa (KDDI R&D Lab.) IE2009-52 MVE2009-27
This paper proposes a lossless re-encoding scheme for video data which are already encoded by the MPEG-1 video coding st... [more] IE2009-52 MVE2009-27
pp.19-24
NLP 2009-05-15
14:45
Shiga Ritsumeikan University Orbit Controlling method for Nonlinear Manipulators based on Local Current Comparison Method
Masatoshi Sato, Masanori Kano, Hisashi Aomori, Takefumi Konishi, Mamoru Tanaka (Sophia Univ) NLP2009-8
In this paper, we propose a method of orbit control of nonlinear manipulators using path search by local current compari... [more] NLP2009-8
pp.37-40
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
NLP 2008-07-31
14:25
Kochi   A Functional Sigma-Delta Cellular Neural Network
Satoshi Yamashita, Hisashi Aomori, Mamoru Tanaka (Sophia Univ.) NLP2008-26
 [more] NLP2008-26
pp.37-40
NLP 2007-04-25
14:00
Nagano   Image Resolutuin compression based on Retina Model using DT-CNN
Yoshiei Tanaka, Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan,), Mamoru Tanaka (Sophia Univ.) NLP2007-4
In this paper, image resolution compression based on retina model using DT-CNN is proposed.
By using sigma-delta modula... [more]
NLP2007-4
pp.19-24
NLP 2007-04-25
17:30
Nagano   Image Tone Interpolation by Sigma-Delta Cellular Neural Network
Yuki Naito, Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Mamoru Tanaka (Sophia Univ.) NLP2007-10
The technique for adding images of binary is the best for the step of the image interpolation.
Because making binary i... [more]
NLP2007-10
pp.55-60
NLP 2006-07-03
13:20
Ishikawa Kanazawa Univ. A Spatial Domain Sigma-Delta Modulator Using Discrete Time Cellular Neural Networks
Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Mamoru Tanaka (Sophia Univ.)
In this paper, a novel spatial domain sigma-delta modulator using discrete-time cellular neural networks (DT-CNNs) is pr... [more] NLP2006-24
pp.13-18
NLP 2005-05-17
14:55
Yamagata Yamagata Univ (Yonezawa) Lossless High Dynamic Range Image Coding based on Lifting Scheme using Nonlinear Interpolative Effect of Discrete-Time Cellular Neural Networks
Hisashi Aomori, Kohei Kawakami (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Masayuki Yamauchi, Mamoru Tanaka (Sophia Univ.)
The lifting scheme is a flexible method for the construction of linear and nonlinear wavelet transforms. In this paper, ... [more] NLP2005-5
pp.23-28
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