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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2018-08-08
Kagawa Saiwai-cho Campus, Kagawa Univ. Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection
Ryuya Ukai, Ryohei Mizutani, Yuki kawai, Teruki Uchida, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake, Masatoshi Sato (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.)
The pixel density of display devices are improving, and the importance of the resolution as a criteria to determine the ... [more] NLP2018-58
NLP 2018-08-08
Kagawa Saiwai-cho Campus, Kagawa Univ. Hierarchical Lossless Image Coding Using CNN Predictors Optimized by Adaptive Differential Evolution
Yuki Kawai, Yuki Nagano, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS)
We have been proposed on hierarchical lossless image coding using predictors composed of Cellular Neural Network(CNN).Th... [more] NLP2018-59
NLP 2017-07-13
Okinawa Miyako Island Marine Terminal A Study of Image Inpainting Methods by using SD-CNN
Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.)
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] NLP2017-37
NLP 2017-03-14
Aomori Nebuta Museum Warasse Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits
Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS), Hisashi Aomori (Chukyo Univ.)
We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi ... [more] NLP2016-109
NLP 2016-12-13
Aichi Chukyo Univ. Particle Swarm Optimization with Refractory Period of Particle Velocity Update
Yuki Nagano, Hideharu Toda (Chukyo Univ.), Masatoshi Sato (Tokyo Metropolitan Univ.), Hisashi Aomori (Chukyo Univ.)
Particle Swarm Optimization (PSO) is one of the metaheuristics where each particles in a swarm searches an optimal solut... [more] NLP2016-94
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