Research Achievements - Other -
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Conjecture Related to Konig-Egervary Theorem
Daisuke Hosaka, Akihiro Yamamura
2130 23 - 25 2019.11
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An experiment with ant colony optimization for edge detection in images
YAMAMURA Akihiro
2096 90 - 101 2018.12
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Firefly Algorithm for Uncapacitated Facility Location Problem and Number of Fireflies (Developments of Language, Logic, Algebraic system and Computer Science)
Tsuya Kohei, Takaya Mayumi, Fazekas Szilárd Zsolt, Yamamura Akihiro
RIMS Kokyuroku 2051 149 - 157 2017.10
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Firefly Algorithm for Uncapacitated Facility Location Problem and Number of Fireflies
YAMAMURA Akihiro
2051 149 - 157 2017.10
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Rearrangement Problem of Multidimensional Arrays by Prefix Reversals
YAMAMURA Akihiro
Electronic Proceedings in Theoretical Computer Science 252 9 - 10 2017.09
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Segmentation of coring images using fully convolutional neural networks
Szilárd Zsolt Fazekas, Stephen Obrochta, Tatsuhiko Sato, Akihiro Yamamura
2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017 2018-January 1 - 5 2017.07
© 2017 IEEE. As a first step in building a toolkit for the computer analysis of images of sea floor sediment cores, we introduce a technique to automate a time consuming manual phase of said analysis. The retrieved cores contain artifacts, e.g., induced by the extraction itself, the removal of which improves the efficiency of environmental reconstruction. From a computer vision perspective, the task of identifying those artifacts is an image segmentation problem. The method we describe as a solution uses the recently introduced fully convolutional neural networks (FCN), which have been shown to be very efficient in segmenting images.