著者

金城 敬太 海老名 剛 KINJO Keita EBINA Takeshi

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B5, no.01, pp.35-39, 2018-08-01

著者

古田 拓毅 鎌田 麻衣子 橋本 豪 大知 正直 山野 泰子 浅谷 公威 坂田 一郎 FURUTA Hiroki KAMADA Maiko HASHIMOTO Go OCHI Masanao YAMANO Hiroko ASATANI Kimitaka SAKATA Ichiro

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B5, no.01, pp.18-24, 2018-08-01

著者

大野 淳也 白川 真一 大原 剛三 Ohno 1 Junya Shirakawa 2 Shinichi Ohara 2 Kouzou

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B4, no.01, pp.1-7, 2014-07-24

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In this report, we propose a neural network model for subjective contour perception. The contour perception has an important role in recognizing the shape of objects for human. Human can perceive a contour even when there is no change of the characteristic or brightness in the image. This type of contour is called subjective contour, and the mechanism of its perception has yet to be completely become clear. It is helpful from the viewpoint of the visual psychology and engineering application if the subject contour perception model can be constructed by the computer. We, therefore, attempt to construct the model of the subjective contour perception by using only input and output images based on a convolutional neural network (CNN). From the experimental results, we confirmed that our proposed model has the possibility of extracting the subjective contour from the given image, though the general model for the subjective contour perception could not be obtained.

著者

丸井 淳己 則 のぞみ 榊 剛史 1 森純 一郎 Marui 1 Junki Nori 2 Nozomi Sakaki 1 3 Takeshi Mori 1 Junichiro

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B4, no.01, pp.51-56, 2014-07-24

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It is now common to have a conversation with others on social media. Many research have been taken to see the community structure on social media, but there are few studies that apply link-based community (link community) detection on a large social network. Link community detection allows users to belong to more than one community. We improve the method of existing link community detection of Ahn et al., which extracts many small communities. We evaluate existing and proposing methods by network indexes, and we characterize link communities from users' biographies. We found that link communities sharing users have similar characteristics from biographies.

著者

門出 康孝 山岸 裕樹 花井 陽介 清水 徹 黒田 忠広 Monde 1 Yasutaka Yamagishi 1 Hiroki Hanai 2 Yosuke Shimizu 1 Toru Kuroda 1 Tadahiro

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B5, no.02, pp.36-41, 2015-11-08

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We tried to apply a Deep Learning to diagnose the lung cancer from a gas chromatography mass spectrometry data of human urine. The mother data consists of 28 healthy people and 39 lung cancer patient urine data sets. Each data set has 394 pieces of peak value as a feature. We applied unsupervised and supervised learning to four-layer neural network (NN). We got 97.0% accuracy of the diagnosis. We also used the trained NN for search the target substance.

著者

大野 淳也1 白川 真一2 大原 剛三3 豊田 哲也3 Ohno 1 Junya Shirakawa 2 Shinichi Ohara 3 Kouzou Toyota 3 Tetsuya

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B5, no.01, pp.12-17, 2016-06-01